JPWO2013047697A1 - Measuring object measuring apparatus, processing method thereof, and program - Google Patents

Abstract

The processing method of the measurement object measuring device (10) according to the present invention reads the feature increase / decrease information from the feature detection information of the approach side detection device (21), and among the feature detection information of the passage side detection device (22), Feature detection information including the same feature increase / decrease information is specified. Among the specified feature detection information, the closest time is closest to the assumed time obtained by substituting the feature detection time included in one detection signal input from the entry side detection device (21) into a predetermined function. The feature detection information including the feature detection time is specified. The detection signal input from the approach side detection device (21) and the detection signal input from the passage side detection device (22) used to generate the specified feature detection information are used as the same feature point of the vehicle (30). A detection signal corresponding to the detection is determined.

Description

The present invention relates to a measurement object measuring apparatus that measures the length of a measurement object, a processing method thereof, and a program.
This application claims priority about Japanese Patent Application No. 2011-215383 for which it applied to Japan on September 29, 2011, and uses the content here.

  In toll roads, the toll is set based on the size of the vehicle that has passed through the road in a predetermined section. For example, in the ETC system and ERP system, the vehicle type information obtained by communication with the vehicle-mounted device and the consistency of the vehicle type specified by measuring the vehicle outer shape are determined, and the vehicle equipment is illegally replaced. It is carried out. Therefore, on the toll road, it is necessary to accurately determine the vehicle size, that is, the vehicle specifications such as the vehicle length, vehicle height, and vehicle width. And the technique which determines the magnitude | size of a vehicle is disclosed by patent document 1 and patent document 2. FIG.

JP-A-11-203588 JP 2000-020876 A

  Here, the above-mentioned patent document includes a technique for measuring the size of the vehicle with a laser emitted by the measuring device, but when measuring the size in the length direction of the vehicle (hereinafter referred to as the vehicle length). Therefore, it is necessary to consider the influence of acceleration and deceleration of a vehicle passing between a plurality of detection devices installed at a distance, and there is a need to improve the measurement accuracy of the vehicle length of the vehicle. . In order to improve the measurement accuracy of the vehicle length of such a vehicle, it is necessary to extract an appropriate vehicle detection signal from detection signals input from a plurality of detection devices installed at a distance.

  Accordingly, an object of the present invention is to provide a measuring object measuring apparatus, a processing method thereof, and a program that can solve the above-described problems.

  In order to achieve the above object, the present invention provides a detection that shows the characteristics of the measurement object from each of an entry-side detection device and a passage-side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input unit that inputs a signal, the entry side detection device, and the passage side detection device, the feature increase / decrease information indicating the value of increase or decrease of the feature of the measurement object and the detection signal And a feature detection information generating unit that generates feature detection information including the feature detection time included in the input detection signal, and the detection signal for the measurement object is first detected by the approach side detection device. The feature detection time when the entry-side detection device detects the measurement object on a later time axis, and the feature detection time when the passage-side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship, a point having the first feature detection time in each of the two detection devices of the approach side detection device and the passage side detection device, and the measurement object in the two detection devices A function passing through a point having the last feature detection time as a component, and the approach side detection device based on an average acceleration of the measurement object traveling between the approach side detection device and the passage side detection device; A function derivation unit for deriving a function representing the passage time of each feature of the measurement object in the passage-side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component. By calculating the component, when it is assumed that the measurement object travels between the entry side detection device and the passage side detection device at the average acceleration, the entry side detection device or the An assumed time calculation unit that calculates an assumed time at which the feature indicated by the feature detection information generated based on the detection signal input from any one of the excess detection devices may be detected by the other detection device. And identifying feature detection information generated based on one detection signal from the one detection device, reading feature increase / decrease information from the feature detection information, and based on the detection signal from the other detection device Among the generated feature detection information, a feature detection information candidate specifying unit that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information, and Of the identified feature detection information, the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component, and the other component is calculated. The assumed detection time, the feature detection information specifying unit that specifies the feature detection information including the closest feature detection time, the one detection signal input from the one detection device, and the feature detection information specifying unit are specified A detection signal correspondence determining unit that determines a detection signal input from the other detection device used for generating the detected feature detection information as a corresponding detection signal when the feature point of the measurement object is detected. It is a measuring object measuring device.

  Further, the present invention provides the above-described measurement object measuring apparatus, the number of times that the measurement object is detected between the first feature detection time and the last feature detection time in the entry side detection device, and the passage side Compared with the number of times the measurement object is detected between the first feature detection time and the last feature detection time in the detection device, among the entry side detection device and the passage side detection device, the A reference detection device specifying unit that specifies a detection device with a small number of times of detection of the measurement object as the one detection device.

  According to the present invention, in the measurement object measuring apparatus described above, the input unit receives a detection signal including a characteristic indicating the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the measurement object and the characteristic detection time. , Input from each of the entry side detection device and the passage side detection device, the feature detection information generation unit, based on the detection signal, an increase in the measurement target feature indicating the optical feature of the measurement target or Feature detection information including feature increase / decrease information indicating a decrease value and a feature detection time included in the detection signal is generated.

  According to the present invention, in the measurement object measuring apparatus described above, the input unit is configured to detect the height of the measurement object detected using a transmission / reception interval between the irradiation time of the light irradiation signal and the reception time of the light reflection signal. The detection signal including the feature indicating the feature information and the feature detection time is input from each of the entry side detection device and the passage side detection device, and the feature detection information generation unit performs the measurement based on the detection signal. Feature detection information including feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the geometric feature of the target and a feature detection time included in the detection signal is generated.

  In the measurement object measuring apparatus described above, the detection signal correspondence determination unit may detect one of the feature detection times included in the feature detection information specified by the feature detection information candidate specifying unit. The feature detection time closest to the assumed time obtained by substituting the feature detection time included in the one detection signal input from the apparatus as one component into the function and calculating the other component is the assumed time. And a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit and only one detection signal input from the one detection device. The signal is determined as a corresponding detection signal when the feature point of the measurement object is detected.

  According to the present invention, in the above-described measurement object measuring apparatus, the feature detection time included in the detection signal first input about the measurement object from the entry side detection apparatus and the measurement object from the passage side detection apparatus The feature detection time included in the detection signal input to the front and back, the feature detection time included in the detection signal last input for the measurement object from the entry side detection device, and the measurement object from the passage side detection device If the front-rear relationship of the feature detection times included in the last-input detection signal is different and the front-rear relationship is different, the response of the detection signal input from the entry-side detection device and the passage-side detection device A correspondence determination stop unit that stops the determination of the relationship.

  Further, the present invention provides the above-described measurement object measurement apparatus, wherein one detection signal input from the one detection apparatus is determined as a corresponding detection signal when the feature point of the measurement object is detected; A speed calculation unit that calculates a speed for each of the feature points of the measurement object based on a plurality of combinations of feature detection times included in each of the detection signals input from the other detection device and the installation interval; .

  In the measurement object measuring apparatus described above, the present invention provides the speed of each of the feature points and the feature detection time included in the detection signal input from the entry side detection device or the detection input from the passage side detection device. A length calculation unit that calculates the length of the measurement object in the traveling direction based on one or both of the feature detection times included in the signal.

  Further, the present invention is a processing method for a measurement object measuring device, wherein the input unit is provided by each of an entry side detection device and a passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object. A detection signal indicating the characteristic of the measurement object is input, and the feature detection information generation unit increases the characteristic of the measurement object each time the detection signal is input from the entry side detection device and the passage side detection device. Alternatively, feature detection information including feature increase / decrease information indicating a decrease value and feature detection time included in the detection signal is generated based on the input detection signal, and a function derivation unit performs the measurement with the entry side detection device. The feature detection time when the entry-side detection device detects the measurement object on the time axis after first detecting the detection signal for the object, and the passage-side detection device on the time axis performs the measurement The object In the two-dimensional coordinate system representing the relationship with the feature detection time when it is issued, the first feature detection time in each of the two detection devices of the entry side detection device and the passage side detection device as a component, A function passing through a point having the last feature detection time for the measurement object in the two detection devices as a component, and the measurement object traveling between the entry side detection device and the passage side detection device. A function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device based on the average acceleration is derived, and the assumed time calculation unit calculates the feature detection time included in the input detection signal. By substituting into the function as one component and calculating the other component, it was assumed that the measurement object traveled between the entry side detection device and the passage side detection device at the average acceleration. The feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device and the passage side detection device may be detected by the other detection device. A certain assumed time is calculated, the feature detection information candidate specifying unit specifies the feature detection information generated based on one detection signal from the one detection device, and reads the feature increase / decrease information from the feature detection information. Feature detection including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from the other detection device The information is specified, and the feature detection information specifying unit uses, as one component, the feature detection time included in the one detection signal input from the one detection device among the specified feature detection information. The feature detection information including the assumed time obtained by calculating the other component by substituting into the function and the feature detection time closest to the time is specified, and the detection signal correspondence determination unit Correspondence when detecting a feature point of the measurement object using one input detection signal and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit This is a processing method for determining a detection signal to be detected.

  Further, the present invention relates to a computer of a measurement object measuring device, wherein the characteristics of the measurement object are respectively determined from an entrance side detection device and a passage side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input means for inputting the detection signal indicating, the entry side detection device and the passage side detection device, the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object and the detection Feature detection information generating means for generating feature detection information including the feature detection time included in the signal based on the input detection signal, and the detection signal for the measurement object is first detected by the entry side detection device The feature detection time when the entry-side detection device detects the measurement object on a later time axis, and the feature detection time when the passage-side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship with the sign detection time, the two detection devices include a point having a first feature detection time as a component in each of the two detection devices of the approach side detection device and the passage side detection device. Is a function that passes through a point having the last feature detection time for the measurement object as a component, and the average acceleration of the measurement object that has traveled between the entry side detection device and the passage side detection device, Function deriving means for deriving a function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component By calculating the other component, the entry side detection is performed when it is assumed that the measurement object travels between the entry side detection device and the passage side detection device at the average acceleration. Assumption to calculate an assumed time at which the feature indicated by the feature detection information generated based on the detection signal input from one of the detectors or the passing side detection device may be detected by the other detection device The time calculation means identifies feature detection information generated based on one detection signal from the one detection device, reads feature increase / decrease information from the feature detection information, and generates a detection signal from the other detection device. Feature detection information candidate specifying means for specifying feature detection information including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the feature detection information, Of the identified feature detection information, the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component, and the other An assumed time obtained by calculating components, feature detection information specifying means for specifying feature detection information including the closest feature detection time, one detection signal input from the one detection device, and the feature detection information Detection signal correspondence determination means for determining a detection signal input from the other detection device used for generating the feature detection information specified by the specification means as a corresponding detection signal when the feature point of the measurement object is detected It is a program that functions as.

  According to the processing of the measurement object measuring apparatus of the present invention, when measuring the vehicle length, an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.

It is a figure which shows the structure of a measurement system. It is a functional block diagram of a measuring object measuring device. It is a figure which shows the example of data which an input part inputs. It is a figure which shows the outline | summary of the extraction process of the detection signal used for a process. It is a block diagram which shows the function structure of a detection signal extraction part. It is a figure which shows the processing flow of a detection signal extraction part. It is a figure which shows the measurement result data based on the information which the input part input. It is a figure which shows the example of data of the information output from the detection signal extraction part. It is a figure which shows the relationship between the speed calculated using feature detection time and feature detection time. It is a figure which shows the processing flow of a measuring object measuring apparatus.

Hereinafter, a measuring system including a measuring object measuring apparatus according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing a configuration of a measurement system according to the embodiment.
In this figure, reference numeral 10 denotes a measuring object measuring apparatus for measuring the size of the measuring object. In the present embodiment, the measuring object measuring apparatus 10 measures the vehicle length of the vehicle 30 as the size of the measuring object. It is assumed that the vehicle 30 travels on the road in the traveling direction (from the right to the left in the figure). Moreover, in FIG. 1, the code | symbol 21 is an approach side detection apparatus, and the code | symbol 22 is a passage side detection apparatus. The approach side detection device 21 and the passage side detection device 22 include a laser sensor, and receive a reflection signal (light reflection signal) corresponding to the irradiation signal (light irradiation signal) of the laser sensor. Thereby, the approach side detection device 21 and the passage side detection device 22 are distances from the difference between the irradiation time of the irradiation signal and the reception time of the reflected signal received corresponding to the signal and the speed of the optical signal to the measurement object. And the intensity of the reflected signal (the amount of reflected light) is detected.

In addition, in FIG. 1, the approach side detection device 21 and the passage side detection device 22 are scattered at each installation position provided in the traveling direction of the vehicle 30 above the vehicle 30 traveling on the road. The situation where one each is installed is shown. The distance D (installation interval) between the approach side detection device 21 and the passage side detection device 22 is assumed to be, for example, about 0.4 m to 0.6 m. Hereinafter, each point parallel to the width direction on the road of the point detected by the approach side detection device 21 is designated as A point, and each point parallel to the width direction on the road of the point detected by the passage side detection device 22 is designated as B point. I will call it. Further, although not shown, a plurality of the entry side detection devices 21 and the passage side detection devices 22 may be installed on the upper portion of the vehicle 30 in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position.
Alternatively, the entry-side detection device 21 and the passage-side detection device 22 are provided at the upper portion of the vehicle 30 approximately at the center in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position. The passing side detection device 22 may irradiate the irradiation signal at each angle in a wide range in the width direction of the road centering on the lower vertical direction.
Furthermore, it is good also as an arrangement | positioning which can irradiate the vehicle which drive | works the all lanes by installing a laser sensor above the roadside. At this time, for example, it can be installed at a plurality of locations such as on both sides of the road.

  The measuring object measuring device 10 is connected to the approach side detection device 21 and the passage side detection device 22 via a communication network, and the reflected signal detected by the device from the approach side detection device 21 and the passage side detection device 22. Detection time, the intensity of the reflected signal (the amount of reflected light), and the height information of the vehicle 30 calculated by the device. The height information is information indicating either “the difference between the height of the entry side detection device 21 and the height of the measurement site of the measurement object” or “the height of the measurement site of the measurement object from the road”. is there. When the height information output from the approach side detection device 21 (or the passage side detection device 22) to the measurement object measurement device 10 is information indicating "the height of the measurement part of the measurement object from the road" The approach side detection device 21 (or the passage side detection device 22) calculates the height value from the “distance in the vertical direction from the approach side detection device 21 (or the passage side detection device 22) to the road”. It is calculated by subtracting the “vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object”. The height information output from the entry side detection device 21 (or the passage side detection device 22) to the measurement object measurement device 10 is “the measurement of the height of the entry side detection device 21 (or the passage side detection device 22) and the measurement object. In the case of “difference from the height of the part”, the measurement object measuring device 10 determines the value of the height based on the detection result of the entry side detection device 21 (or the passage side detection device 22). The vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object ”is acquired.

And the measuring object measuring apparatus 10 measures the vehicle length of the vehicle 30 which is a measuring object using the information input from the approach side detection apparatus 21 or the passage side detection apparatus 22.
In addition, although the measuring object measuring apparatus 10 in this embodiment is demonstrated as what measures the vehicle length of the vehicle 30 which passes on a road, even if it applies to what measures the length of other moving bodies, etc. Good.

FIG. 2 is a functional block diagram of the measuring object measuring apparatus 10.
As shown in this figure, the measuring object measuring apparatus 10 includes an input unit 11, a storage unit 12, a height correspondence determination unit 13, a signal strength correspondence determination unit 14, a second speed calculation unit 15, and a first speed calculation. Each processing unit and storage unit includes a unit 16, a length calculation unit 17, and a detection signal extraction unit 18.

The input unit 11 is a processing unit that inputs the height information of the vehicle 30 and the intensity of the reflected signal from the entry side detection device 21 and the passage side detection device 22.
Further, the height correspondence determination unit 13 uses the height information of the vehicle 30 detected by the approach side detection device 21 and the passage side detection device 22 over time to indicate the same portion of the vehicle 30. It is a processing unit that classifies each information correspondence.
In addition, the second speed calculation unit 15 calculates the height information included in the correspondence relationship between the height information indicating the same part of the vehicle 30 and the height information in the approach side detection device 21 and the passage side detection device 22. The time difference of the height detection time is calculated for each correspondence relationship of the classified height information, the time difference of the height detection time, and the traveling direction of the entry side detection device 21 and the passage side detection device 22 Based on the installation interval D, the velocity of the measurement object at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 is determined for each correspondence relationship of the classified height information. It is a processing part to calculate.

Further, the signal strength correspondence determining unit 14 corresponds to the signal strength corresponding to the same part of the vehicle 30 with respect to the signal strengths of the light reflection signals detected by the approach side detection device 21 and the passage side detection device 22 over time. It is a processing unit that classifies each relationship.
In addition, the first speed calculation unit 16 calculates the signal strength of each of the signal strengths in the approach-side detection device 21 and the passage-side detection device 22 that calculate the signal strengths included in the correspondence relationship of the signal strengths indicating the same part of the vehicle 30. The time difference of the detection time is calculated for each correspondence relationship of the classified signal strength, and the approach side detection device 21 and the passage side detection device are based on the time difference of the signal strength detection time and the installation interval D. 22 is a processing unit that calculates the speed of the vehicle 30 at the signal strength detection time at any one or both of the numbers 22 for each correspondence relationship of the classified signal strengths.

Further, the length calculation unit 17 calculates the vehicle 30 at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified height information. And the velocity of the measurement object at the signal intensity detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified signal strength. The processing unit calculates the length of the vehicle 30 in the traveling direction.
The detection signal extraction unit 18 is a processing unit that extracts a detection signal used for processing in the measurement object measuring apparatus 10 from the detection signals input from the input unit 11.

FIG. 3 is a diagram illustrating an example of data input by the input unit 11.
The input unit 11 receives the height information indicating the height of the vehicle 30, the amount of reflected light that is the intensity of the reflected signal, and the information on the detection times thereof at predetermined time intervals, and the approach side detection device 21 and the passage side detection device 22. Enter from. The predetermined time interval is, for example, 10 msec, and FIG. 3 shows a data table in the case where each information input at each time t1, t2, t3, t4, t5,. ing. FIG. 3 shows the height information, reflected light amount, and detection time information detected by the approach side detection device 21 for one point on the road. The input unit 11 inputs each piece of information as shown in FIG. 3 for a plurality of points in the width direction of the road perpendicular to the traveling direction of the vehicle 30. The interval in the width direction is, for example, 10 cm. The input unit 11 also inputs height information, reflected light amount, and detection time information from the passage side detection device 22 at a predetermined time interval for a plurality of points in the width direction on the road.

FIG. 4 is a diagram showing an outline of detection signal extraction processing used for processing.
The measuring object measuring device 10 inputs detection signals sequentially from the approach side detection device 21 and the passage side detection device 22 as time passes. The detection signal includes height information, reflected light amount, feature detection time (height information or time when any feature of the reflected light amount is detected), identification information of the detection device, and the like. The height information is the height of the vehicle 30, and the reflected light amount is a reflected light amount (signal intensity) of light irradiated on the vehicle 30. Here, in order to accurately calculate the speed and the vehicle length of the vehicle 30 based on the detection signal, each of the detection signal input from the approach side detection device 21 and the detection signal input from the passage side detection device 22 is included. Therefore, it is necessary to specify a pair of detection signals indicating the same characteristics (height and reflected light amount) of the vehicle 30.

  However, for example, when the traveling speed of the vehicle 30 is extremely slow (including when the vehicle 30 is stopped due to traffic jams) and the approach side detection device 21 or the passage side detection device 22 is shaken by the influence of wind or the like, The approach side detection device 21 or the passage side detection device 22 may transmit a detection signal for the same feature of the vehicle 30 to the measurement object measurement device 10 a plurality of times. In such a case, the measurement object measuring apparatus 10 simply associates a pair of the detection signal input from the entry side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22 in the order of input time. A pair of detection signals for the same feature of the vehicle 30 cannot be obtained. Therefore, the measuring object measuring apparatus 10 is based on the extraction process as shown in FIG. 4, and has the same characteristics of the detection signal input from the approach side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22. A pair of detection signals indicating is determined.

The detection signal extraction process will be described more specifically with reference to FIG.
First, in FIG. 4, the horizontal axis indicates the feature detection time t _E included in the detection signal input from the approach side detection device 21. In FIG. 4, the vertical axis indicates the feature detection time t _P included in the detection signal input from the passage side detection device 22. Then, shows a case in FIG. 4, the four detection signals E1~E4 inputted from the entry side detector 21, respectively, are included feature detection time _{t E1, t E2, t E3} , t E4 . In FIG. 4, the eight detection signal P1~P8 inputted from the pass side detector 22, respectively, wherein the detection time _{t P1, t P2, t P3} , t P4, t P5, t P6, t P7, t _The case where _P8 is included is shown.

  Here, the detection signal E <b> 1 is a detection signal that first detects the characteristics of one vehicle 30 in the approach side detection device 21. The detection signal P <b> 1 is a detection signal obtained by first detecting the characteristics of one vehicle 30 in the passage side detection device 22. When a detection signal including height information higher than the road surface height is input from a state in which a detection signal including height information indicating the road surface height is input, the vehicle 30 as a measurement object is measured. Can be determined. Therefore, the detection signal extraction unit 18 can determine, from the height information included in the detection signal, the detection signal that first detects the feature of the vehicle 30 in each of the approach side detection device 21 and the passage side detection device 22. .

  Further, the detection signal E4 is a detection signal in which the feature of one vehicle 30 is detected last in the approach side detection device 21. Further, the detection signal P8 is a detection signal in which the characteristic of one vehicle 30 is detected last in the passage side detection device 22. When a detection signal including height information indicating the road surface height is input from a state in which the height information higher than the road surface height is continued, it may be determined that the vehicle 30 as the measurement object has passed. it can. Therefore, the detection signal extraction unit 18 can determine, from the height information included in the detection signal, the detection signal that lastly detected the feature of the vehicle 30 in each of the approach side detection device 21 and the passage side detection device 22. it can.

  Although the road surface height is not a feature indicating the vehicle 30, the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information of the vehicle 30 becomes “0”. That is, it can be determined that the time has passed. In the present embodiment, the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information that is a feature of the vehicle 30 is “0” for convenience. It is determined that (the time when the feature of the vehicle was last detected).

And the detection signal extraction part 18 of the measuring object measuring device 10 detects the characteristic of the vehicle 30 and the detection signal E1 which first detected the characteristic of the vehicle 30 in the approach side detection device 21 from each input detection signal. When the last detected detection signal E4 is determined, among the detection signals input from the approach side detection device 21, the feature detection time between the feature detection times included in the two detection signals E1 and E4 is included. The detection signal is extracted. By this processing, the detection signal extracting unit 18 and the detection signal E2 that includes a feature detection time t _E2, and extracts a detection signal E3 including feature detection time t _E3.

In addition, the detection signal extraction unit 18 detects, from the input detection signals, the detection signal P1 that first detects the characteristics of the vehicle 30 in the passage side detection device 22, and the detection signal P8 that detects the characteristics of the vehicle 30 last. Is detected, other detection signals including the feature detection time between the feature detection times included in the two detection signals P1 and P8 are extracted from the detection signals input from the passage side detection device 22. By this processing, the detection signal extracting unit 18 includes a detection signal P2, the detection signal P3 including the feature detection time _{t P3,} detected signal P4 including feature detection time _{t P4,} wherein detection time _{t P5} including the feature detection time _{t P2} detection signal P5, the detection signal P6 including the feature detection time _{t P6,} the detection signal P7 including the feature detection time _{t P7,} to extract.

  The detection signal extraction unit 18 detects detection signals E2 and E3 extracted from the detection signals input from the approach side detection device 21 and detection signals P2 and P3 extracted from the detection signals input from the passage side detection device 22. , P4, P5, P6, and P7, a pair of corresponding detection signals indicating the characteristics of the same vehicle 30 is extracted.

FIG. 5 is a block diagram showing a functional configuration of the detection signal extraction unit.
As shown in this figure, the detection signal extraction unit 18 includes a feature detection information generation unit 181, a function derivation unit 182, a reference detection device specification unit 183, an assumed time calculation unit 184, a feature detection information candidate specification unit 185, and feature detection information specification. Unit 186, detection signal correspondence determination unit 187, correspondence determination stop unit 188, and processing result output unit 189.
Here, each time the detection signal is input from the approach side detection device 21 and the passage side detection device 22, the feature detection information generation unit 181 includes feature increase / decrease information indicating a value of increase or decrease of the feature of the vehicle 30, and the detection It is a processing unit that generates feature detection information including a feature detection time included in a signal based on an input detection signal.

  The function deriving unit 182 also detects the feature detection time when the approach side detection device 21 detects the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the approach side detection device 21 and the time. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passage side detection device 22 detects the vehicle 30 on the axis, the first detection device in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22 This is a processing unit that derives a function that passes through a point having the feature detection time as a component and a point having the last feature detection time for the vehicle 30 in the two detection devices as a component. Further, the function is a passing time of each feature of the vehicle 30 in each of the approaching side detection device 21 and the passing side detection device 22 based on an average acceleration of the vehicle 30 that has traveled between the approaching side detection device 21 and the passing side detection device 22. Is shown.

  The reference detection device specifying unit 183 also detects the number of times the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach-side detection device 21, and the vehicle in the passage-side detection device 22. The processing unit compares the number of times the vehicle 30 is detected between the first feature detection time of 30 and the last feature detection time. In addition, the reference detection device specifying unit 183 is a processing unit that specifies a detection device with a small number of times of detecting the vehicle 30 among the entry side detection device 21 and the passage side detection device 22 as one detection device.

Further, the assumed time calculation unit 184 calculates the other component by substituting the feature detection time included in the detection signal input from the identified one detection device into the function as one component. Assuming that the vehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 at the acceleration indicated by the function by such processing, the assumed time calculation unit 184 inputs from one detection device. This is a processing unit that calculates an assumed time at which the same feature as the feature indicated by the feature detection information generated based on the detected signal may be detected by the other detection device.
The feature detection information candidate specifying unit 185 specifies feature detection information generated based on one detection signal from one detection device, reads feature increase / decrease information from the feature detection information, and detects the other detection device. A processing unit that identifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from is there.

In addition, the feature detection information specifying unit 186 calculates the other component by substituting the feature detection time included in one detection signal input from one detection device into the function as one component of the specified feature detection information. It is a processing unit that identifies feature detection information including the assumed time obtained and the feature detection time closest to the time.
Further, the detection signal correspondence determining unit 187 has one detection signal input from one detection device and a detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit 186. Is a processing unit that determines a corresponding detection signal when a feature point of the vehicle 30 is detected.

Further, the correspondence determination stop unit 188 is included in the feature detection time included in the detection signal first input about the vehicle 30 from the approach side detection device 21 and the detection signal input first regarding the vehicle 30 from the passage side detection device 22. The feature detection time and the feature detection time included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the feature detection included in the detection signal last input for the vehicle 30 from the passage side detection device 22 It is a processing unit that compares the time context. Then, the correspondence determination stop unit 188 is a processing unit that determines to stop the determination of the correspondence relationship of the detection signals input from the approach side detection device 21 and the passage side detection device 22 when the front-rear relationships are different.
The processing result output unit 189 is a processing unit that outputs the processing result of the detection signal extraction unit 18.

  And the process of the detection signal extraction part 18 provided with the function of each of such processing parts causes the same characteristics of the vehicle 30 from the detection signals input from the approach side detection device 21 and the passage side detection device 22 respectively. Corresponding detection signal pairs in the entry side detection device 21 and the passage side detection device 22 are extracted.

FIG. 6 is a diagram illustrating a processing flow of the detection signal extraction unit.
Next, the processing flow of the detection signal extraction unit will be described in order with reference to FIG.
First, the input unit 11 of the measurement object measuring apparatus 10 inputs a detection signal received from the entry side detection device 21 or the passage side detection device 22 via the communication network. The detection signal includes the signal intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 such as the amount of reflected light (first characteristic of the vehicle 30), the irradiation time of the light irradiation signal, and reception of the light reflection signal. The height information of the measurement object detected using the transmission / reception interval with the time (second feature of the vehicle 30) is included. In addition, the detection signal includes the feature detection time and the identification number of the detection device indicating the entry side detection device 21 or the passage side detection device 22 that has detected the signal intensity (amount of reflected light) or height information. Yes. Then, the input unit 11 outputs the input detection signal to the detection signal extraction unit 18.

  Next, the feature detection information generation unit 181 of the detection signal extraction unit 18 receives the detection signal input from the entry side detection device 21 or the passage side detection device 22 from the input unit 11 (step S601). The feature detection information generation unit 181 then detects the signal intensity (reflected light amount) and height information of the light reflection signal included in the detection signal input this time, and the detection input last time for the detection signal including the identification number of the same detection device. The signal intensity (the amount of reflected light) of the light reflection signal included in the signal is compared with the height information.

  Then, the feature detection information generation unit 181 has a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input this time, rather than a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input last time. When the threshold value changes more than the threshold value, feature increase / decrease information indicating an increase or decrease value of the signal intensity (amount of reflected light) is generated. In addition, when the height information included in the detection signal input this time changes more than a threshold value compared to the height information included in the detection signal input last time, the feature detection information generation unit 181 increases the height information or Feature increase / decrease information indicating a decrease value is generated. Hereinafter, the signal intensity feature increase / decrease information is referred to as signal intensity increase / decrease information, and the height information feature increase / decrease information is referred to as height increase / decrease information.

  Then, the feature detection information generation unit 181 generates feature detection information including the signal intensity increase / decrease information, the height increase / decrease information, the detection time included in the received detection signal, and the identification number of the detection device. (Step S602). The feature detection information generation unit 181 generates this feature detection information every time a detection signal is input. Then, the feature detection information generation unit 181 sequentially outputs the generated feature detection information to the function derivation unit 182.

  Next, the function deriving unit 182 identifies feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21 from the input feature detection information. In the specific processing, the function deriving unit 182 first generates the feature detection information generated from the detection signal of the entry side detection device 21 based on the identification number of the entry side detection device 21 and the identification number of the passage side detection device 22. And feature detection information generated by the detection signal of the passage side detection device 22. Then, the function deriving unit 182 sequentially compares the height information included in the feature detection information generated by the detection signal of the approach side detection device 21, and inputs the feature detection information indicating the height information indicating the road surface height. Thereafter, it is determined whether a predetermined number or more of feature detection information indicating height information higher than the threshold value from the road surface height is continuously input. When the feature detection information indicating the height information higher than the threshold from the road surface is continuously input a predetermined number or more, the feature detection information indicating the height information higher than the threshold from the road height The feature detection information including the earliest detection time is identified as feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21.

  Next, the function deriving unit 182 sequentially inputs the previous feature sequentially from the feature detection information input from the approach side detection device 21 next to the feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21. The height information included in the detection information is compared with the height information included in the feature detection information input this time. If the difference between the height information included in the feature detection information input last time and the height information included in the feature detection information input this time is equal to or greater than a threshold value, the feature detection information input this time is It is determined as feature detection information indicating a feature point (a point at which height information has changed) of the vehicle 30 detected by the detection device 21. Then, the function deriving unit 182 sequentially specifies feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21.

  In the present embodiment, the method for specifying the feature detection information indicating the feature points of the vehicle 30 is the height information included in the feature detection information input last time, and the height information included in the feature detection information input this time. When the difference is equal to or greater than the threshold, the feature detection information input this time is determined as feature detection information indicating the feature point of the vehicle 30. However, the present invention is not limited to this, and feature detection information indicating the feature points of the vehicle 30 may be specified by other methods.

  Further, after specifying the feature detection information indicating that the vehicle 30 has been detected first, the function deriving unit 182 is the feature detection information indicating that the vehicle 30 has been detected last. Determine whether. In this process, it is determined whether or not the height information included in the input feature detection information matches the road surface height information stored in advance. If it can be determined that the values match even when the error is taken into consideration, the function deriving unit 182 determines that the feature detection information is feature detection information indicating that the vehicle 30 was detected last. In addition, when a plurality of feature detection information that can be determined to match the road surface height information is input, the feature detection information including the earliest feature detection time is feature detection information indicating that the vehicle 30 was detected last. Is determined. Then, the function deriving unit 182 includes feature detection information indicating that the vehicle 30 has been detected first, feature detection information indicating that the vehicle 30 has been detected last, and the vehicle 30 specified between these feature detection information. The feature detection information indicating the feature points is determined as feature detection information indicating a plurality of features for one vehicle 30 detected by the approach side detection device 21.

Here, the feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21 includes four features including feature detection times t _E1 , t _E2 , t _E3 , and t _E4 as shown in FIG. 4. It is assumed that the detection information is F _E1 , F _E2 , F _E3 , and F _E4 . Further, the function deriving unit 182 determines feature detection information indicating the feature point of the vehicle 30 detected by the passing side detection device 22 by the same process. The feature detection information indicating the feature points of the vehicle 30 detected by the passing side detection device 22 is the feature detection times t _P1 , t _P2 , t _P3 , t _p4 , t _P5 , t _P6 , t _P7 , as shown in FIG. t _p8, and a is an eight feature detection information including each _{F P1, F P2, F P3} , F P4, F P5, F P6, F P7, F P8.

Next, the function deriving unit 182 includes a point (t _E1 , t _P1 ) having the first feature detection time as a component in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22, and the two detection devices. A function that passes through a point (t _E4 , t _P8 ) whose component is the last feature detection time for the vehicle 30 is derived (step S603). The function includes a feature detection time when the approach side detection device 21 detects a feature of the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the approach side detection device 21, and the time axis. 2 is a function in a two-dimensional coordinate system representing the relationship with the feature detection time when the passage-side detection device 22 detects the feature of the vehicle 30. Further, the function is a passing time of each feature of the vehicle 30 in each of the approaching side detection device 21 and the passing side detection device 22 based on an average acceleration of the vehicle 30 that has traveled between the approaching side detection device 21 and the passing side detection device 22. Is shown.
More specifically, the derived function is
_{t p = {(t P8 -t} P1) ÷ (t E4 -t E1)} is a _t E ₊ t _P1.

Then, the function deriving unit 182 outputs the derived function information and feature detection information F _{E1 to} F _E4 and F _{P1 to} F _P8 indicating the feature points of the vehicle 30 to the assumed time calculation unit 184, and also the vehicle 30. The feature detection information F _{E1 to} F _E4 and F _{P1 to} FP ₈ indicating the feature points are output to the reference detection device specifying unit 183 and the detection signal correspondence determination unit 187. At this time, it is notified that the feature detection information F _E1 and _FP1 is feature detection information indicating the first feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done. Similarly, the feature detection information F _E4 and _{FP 8} is feature detection information indicating the last feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done. In addition, the function deriving unit 182 outputs the derived function information and feature detection information F _{E1 to} F _E4 and F _{P1 to} F _P8 indicating the feature points of the vehicle 30 to the correspondence determination stop unit 188.

Next, the reference detection device specifying unit 183 uses the input feature detection information F _{E1 to} F _E4 and F _{P1 to} FP ₈ to input the last feature detection time from the first feature detection time of the vehicle 30 in the approach side detection device 21. The number of times the feature of the vehicle 30 has been detected is compared with the number of times that the feature of the vehicle 30 has been detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22. To do. That is, the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach side detection device 21 is twice of the feature detection information F _E2 and F _E3 . In addition, the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22 is six times of feature detection information F _{E2 to} F _E7. . And the reference | standard detection apparatus specific | specification part 183 specifies the detection apparatus with few frequency | counts which detected the characteristic of the vehicle 30 among the approach side detection apparatus 21 and the passage side detection apparatus 22 with a reference | standard detection apparatus (step S604). In this embodiment, the approach side detection device 21 with a small number of times of detecting the characteristics of the vehicle 30 is specified as the reference detection device. Then, the reference detection device specifying unit 183 outputs the identification number of the entry side detection device 21 specified as the reference detection device to the assumed time calculation unit 184.

When the assumed time calculation unit 184 inputs the identification number of the approach side detection device 21 serving as the reference detection device, the assumed time calculation unit 184 includes the feature detection information F _{E1 to} F _E4 indicating the feature points of the vehicle 30 detected by the approach side detection device 21. The feature detection information F _E2 and F _E3 excluding the feature detection information F _E1 indicating that the vehicle 30 is detected first and the feature detection information F _E4 indicating that it is detected last are extracted. Then, the assumed time calculation unit 184 substitutes the feature detection time t _E2 included in the feature detection information F _E2 for the variable t _E of the function derived by the function deriving unit 182, and calculates the variable t _P of the function. To calculate an assumed time T1 (step S605). The assumed time T1 is generated based on a detection signal input from the approach side detection device 21 when it is assumed that the vehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 with an average acceleration. This is an assumed time at which the feature indicated by the feature detection information may be detected by the passage side detection device 22.

Similarly to the calculation of the assumed time T1, the assumed time calculation unit 184 substitutes the feature detection time t _E3 included in the feature detection information F _E3 for the variable t _E of the function derived by the function deriving unit 182. calculating the assumed time T2 by calculating the function of the variable t _P. Then, the assumed time calculation unit 184 outputs the assumed time T1 and the feature detection information _FE2 used to calculate the assumed time T1 to the feature detection information candidate specifying unit 185. Also, the assumed time calculation unit 184 outputs the assumed time T2 and the feature detection information _FE3 used for calculating the assumed time T2 to the feature detection information candidate specifying unit 185.

When the feature detection information candidate specifying unit 185 receives the assumed time T1 and the feature detection information _FE2 used to calculate the assumed time T1, the feature detection information candidate specifying unit 185 extracts height increase / decrease information included in the feature detection information _FE2 . The height decrease information included in the feature detection information F _E2 indicates "increase" as represented as "↑" in Figure 4 for the feature detection time t _E2 contained in the feature detection information F _E2. Therefore, the feature detection information candidate specifying unit 185 includes feature detection information F indicating that the vehicle 30 is first detected among the feature detection information F _{P1 to} F _P8 indicating the feature points of the vehicle 30 detected by the passing side detection device 22. and _P1, finally excluding the feature detection information _{F P8} indicating the detection feature detection information _F P2 _{to F} from in _P7, candidate _{F P2} feature detection information indicating the height increase or decrease information is "up", F _P4 and F _P6 are extracted (step S606). Then, the feature detection information candidate specifying unit 185 includes feature detection information _FE2 indicating the feature point of the vehicle 30 detected by the approach side detection device 21, the assumed time T1 calculated using the feature detection information, and the feature detection candidates passing side detection device 22 side corresponding to information F _E2, and outputs it to the feature detection information identification unit 186. The candidates on the passing side detection device 22 are the feature detection information F _P2 , F _P4 , and the feature detection information specified by the feature detection information candidate specifying unit 185 as feature detection information candidates indicating the feature points of the vehicle 30 detected by the passing side detection device 22. _FP6 .

Then, the feature detection information specifying unit 186 compares the assumed time T1 with the feature detection information F _P2 , F _P4 , and _{FP 6,} and from the feature detection information F _P2 , F _P4 , and _{FP 6} , the feature detection information F extracting the feature detection information including the nearest feature detection time on the assumption time T1 calculated by the feature detection time t _E2 contained in _E2 (step S607). That is, assume the time T1 calculated by the feature detection time _{t E2} included in the feature detection information _{F E2,} the feature detection information _{F P2, F P4, F P6} feature detection time _t P2 contained in _each, t _{P4, t P6} Using these, “t _P2 −T1”, “t _P4 −T1”, and “t _P6 −T1” are respectively calculated. Then, the feature detection information specifying unit 186 determines the feature detection information including the feature detection time when the time difference is the smallest for the calculation using the feature detection times t _P2 , t _P4 , and t _P6. Extracted from _P2 , F _P4 and _FP6 . In the present embodiment, feature detection information _FP2 is extracted. The feature detecting information identifying unit 186, a set of feature detection information F _P2 corresponding to the feature detection information F _E2 to the feature detection information F _E2, and outputs the detection signal corresponding relation determining unit 187.

When the difference between the feature detection time _tP2 and the assumed time T1 when the time difference is the smallest is equal to or greater than a predetermined threshold, the feature detection information F _E2 and feature detection corresponding to the feature detection information F _E2 The set of information _FP2 may be discarded. It is considered that the acceleration or deceleration of the vehicle 30 traveling between the approach side detection device 21 and the passage side detection device 22 is within a certain range to some extent. However, when the difference between the feature detection time _tP2 and the assumed time T1 is equal to or greater than a predetermined threshold value, acceleration or deceleration exceeding the assumption was performed between the approach side detection device 21 and the passage side detection device 22. This is information on feature points with high possibility and low reliability. Therefore, for the purpose not to adopt such information, and thus the set of feature detection information F _E2, wherein detection information F _P2 corresponding to the feature detection information F _E2 is discarded.

The feature detection information specifying unit 186, feature detection information F _E2 and in a way analogous to that specified a set of feature detection information F _P2 corresponding to the feature detection information F _E2, feature detection information F _E3 and its feature detection information F A set of feature detection information _FP7 corresponding to _E3 is specified and output to the detection signal correspondence determination unit 187.

Next, based on the feature detection information F _{E1 to} F _E4 and F _{P1 to} F _P8 indicating the feature points of the vehicle 30 input from the function deriving unit 182, the detection signal correspondence determination unit 187 determines the vehicle in the approach side detection device 21. The detection signal E1 used to generate the feature detection information F _E1 indicating that the vehicle 30 is detected first, and the feature detection information _FP1 that indicates that the vehicle 30 is first detected by the passage side detection device 22 are used. The detection signal P1 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected (step S608).

Further, the detection signal correspondence determination unit 187 determines the vehicle in the approach side detection device 21 based on the feature detection information F _{E1 to} F _E4 and F _{P1 to} F _P8 indicating the feature points of the vehicle 30 input from the function deriving unit 182. a detection signal E4 used to generate the feature detection information F _E4 indicating the detection of the 30 last, was used to generate the feature detection information F _P8 indicating that the passing side detector 22 detects the vehicle 30 to the end The detection signal P8 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected.

The detection signal correspondence determination unit 187, and input from the feature detection information specifying unit 186, based on the set of feature detection information F _P2 corresponding to the feature detection information F _E2 to the feature detection information F _E2, entry side detection the apparatus 21 and the detection signal E2 used for generating of the feature detection information F _E2, and a detection signal P2 used for generating of the feature detection information F _P2 in the pass-side detection device 22 to detect the feature points of the vehicle 30 The corresponding detection signal is determined.

Further, the detection signal correspondence determination unit 187 detects the approach side based on the combination of the feature detection information _FE3 and the feature detection information _FP7 corresponding to the feature detection information _FE3 input from the feature detection information specifying unit 186. A feature point of the vehicle 30 is detected using the detection signal E3 used for generating the feature detection information _{FE3 in} the device 21 and the detection signal P7 used for generating the feature detection information _{FP7 in} the passing side detection device 22. The corresponding detection signal is determined.

Then, the processing result output unit 189 detects detection points E1, P1, detection signals E2, P2, detection signals E3, P7 when detecting the feature points of the vehicle 30 determined by the detection signal correspondence determination unit 187. Each information included in the detection signals E4 and P8 is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14 (step S609).
More specifically, the processing result output unit 189 reads the height information, the reflected light amount, the detection time, and the identification number of the detection device from each detection signal determined by the detection signal correspondence determination unit 187 to obtain the height. Information on the combination of the information, the detection time, and the identification number of the detection device that detected them (the identification number identifying either the entry side detection device 21 or the passage side detection device 22) is output to the height correspondence determination unit 13 To do. The processing result output unit 189 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that has detected them (the entry side detection device 21 or the passage). Information of the combination with the identification number for identifying one of the side detection devices 22 is output to the signal strength correspondence determination unit 14.

In the processing in each processing unit of the detection signal extraction unit 18 described above, the detection signal when the geometric feature point of the vehicle 30 is detected based on the height information and the height increase / decrease information is set to the height. The example in the case of outputting to the correspondence determination part 13 and the signal strength correspondence determination part 14 is shown. However, the detection signal extraction unit 18 further calculates the optical feature point of the vehicle 30 based on the reflected light amount that is the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 and the signal intensity increase / decrease information. The detection signal at the time of detection is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14.
Alternatively, only one of the detection signal when the geometric feature point is detected and the detection signal when the optical feature point is detected is used as the height correspondence determination unit 13 and the signal strength correspondence determination unit. 14 may be output.

Here, while the above-described processing is being performed, the correspondence determination stop unit 188 may stop the determination of the feature point correspondence for the vehicle 30. In this case, specifically, the correspondence determination stop unit 188 includes the feature detection time t _E1 included in the detection signal first input about the vehicle 30 from the approach side detection device 21 and the vehicle 30 from the passage side detection device 22. determining the context of the feature detection time t _P1 contained in the first detection signal input. In addition, the correspondence determination stop unit 188 uses the feature detection time t _E4 included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the detection signal input for the vehicle 30 last from the passage side detection device 22. The anteroposterior relationship of the included feature detection time _tP8 is determined. Then, the correspondence determination stop unit 188 compares the two anteroposterior relationships, and if the anteroposterior relationships are different, the correspondence relationship determination of the detection signals input from the approach side detection device 21 and the passage side detection device 22 is performed. Decide to stop.

  Here, the fact that these two front-rear relations are different means that the first detection of the vehicle 30 is earlier than the passage-side detection device 22, but the last detection of the vehicle 30 is the detection of the entry-side. This means that the passing side detection device 22 is earlier than the device 21. Since such a phenomenon is not possible, the determination of the correspondence relationship between the detection signals input from the approach side detection device 21 and the passage side detection device 22 is stopped.

  According to the above processing, the detection signal indicating the same feature from the detection signal that detects the feature of the vehicle 30 in the approach side detection device 21 and the detection signal that detects the feature of the vehicle 30 in the passage side detection device 22. Can be determined. Thereby, in measuring the vehicle length of the vehicle 30, an appropriate detection signal of the vehicle 30 can be extracted from detection signals input from two detection devices installed at a distance.

FIG. 7 is a diagram showing measurement result data based on information input by the input unit.
This figure shows measurement result data based on information input from the entry side detection device 21 or the passage side detection device 22 by the measurement object measurement device 10. The measurement result data indicates height information at measurement points x1, x2, x3, x4,..., Xn at detection times t1, t2, t3, t4. The measurement result data can be generated by any information of information input from the approach side detection device 21 or information input from the passage side detection device 22. For example, when the measurement result data shown in FIG. 7 is created by reading the height information input from the approach side detection device 21 from the data table shown in FIG. 3, t1, t2, t3, t4. The height information which the approach side detection apparatus 21 detected about the measurement point of x1, x2, x3, x4, ..., xn in each detection time of tn is shown. Note that the measurement point is the road at the point A measured by the entry side detection device 21 when the measurement result data shown in FIG. 7 is created by the height information input from the entry side detection device 21. A plurality of measurement points parallel to the upper width direction (direction orthogonal to the traveling direction of the road) are shown.

  Each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point may be information measured by each of the plurality of entry side detection devices 21 installed corresponding to each measurement point. Good. Alternatively, each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point is obtained by the approach-side detection device 21 installed above one or more roads centering on the lower vertical direction. The information measured by irradiating the irradiation signal at each angle in the wide angle range in the width direction may be used.

  The measurement object measuring device 10 detects the detection time detected by the approach side detection device 21 in addition to the measurement result data shown in FIG. 7 based on the information input from the approach side detection device 21 or the passage side detection device 22. Measurement result data indicating the amount of reflected light at each measurement point, detection time detected by the passage side detection device 22, measurement result data indicating height information of each measurement point, detection time detected by the passage side detection device 22 Measurement result data indicating the amount of reflected light at each measurement point is stored.

  The measurement result data shown in FIG. 7 indicates that the entry side detection device 21 measured the height information at each measurement point in the range of x4 to x20 from time t3 to time t29. In addition, as the measurement result data, the measurement object measuring apparatus 10 inputs substantially the same height information A1 measured at the measurement points x4 to x20 during the time t3 to the time t10 in the entry side detection apparatus 21. Then, approximately the same height information B1 measured for each of the measurement points x4 to x20 is input in the approach side detection device 21 from time t11 to time t22, and in the approach side detection device 21 from time t23 to time t29. In the meantime, it shows that almost the same height information C1 measured for each measurement point of x4 to x20 was input.

Moreover, the measurement result data of FIG. 7 has shown each height information of height information A1, B1, C1, and, thereby, the vehicle 30 is the height information A1, height information B1, and height information C1. It can be recognized that it has three characteristics.
Similarly, the measuring object measuring apparatus 10 is configured so that the vehicle 30 can change the body color and part (sunroof, truck bed, etc.) based on the information on the amount of reflected light input from the approach side detection apparatus 21 indicated by the measurement result data. It can be recognized that it has a plurality of optically different characteristics.

Similarly, the measuring object measuring apparatus 10 is configured such that the vehicle 30 is connected to a hood or other part (roof, truck bed, etc.) based on the height information input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has a plurality of geometric features.
Similarly, the measuring object measuring apparatus 10 is configured so that the vehicle 30 has a plurality of optically different body colors and parts based on information on the amount of reflected light input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has characteristics.

  Then, the measuring object measuring device 10 includes a geometric feature based on the height information of the vehicle 30 input from the approach side detection device 21, an optical feature based on the reflected light amount, and the passage side detection device 22. The vehicle length of the vehicle 30 is calculated using the geometric feature based on the input height information of the vehicle 30 and the optical feature based on the amount of reflected light.

FIG. 8 is a diagram illustrating a data example of information output from the detection signal extraction unit.
Next, a specific method for calculating the vehicle length of the vehicle 30 will be described.
The measuring object measuring apparatus 10 determines that the height information A1 is detected at time t3 based on the height information input from the approach side detection apparatus 21. Further, the measuring object measuring apparatus 10 determines that the height information B1 having a height different from the height information A1 by a predetermined threshold or more is detected at time t11.
Further, the measuring object measuring apparatus 10 determines that the height information C1 having a height different from the height information B1 by a predetermined threshold or more is detected at time t23. Then, based on the height information input from the approach side detection device 21, the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, C1 is detected for the first time as a feature detection time t3, The feature detection time t11 and the feature detection time t23 are specified. Further, the measurement object measuring device 10 detects the time when it is determined that the road surface is detected next after detecting the height of the vehicle 30 based on the height information input from the approach side detection device 21, and the time Is determined as a feature detection time t30.

Further, the measuring object measuring apparatus 10 determines that the reflected light quantity m1 that has changed from the reflected light quantity on the road by a predetermined threshold or more at time t3 is detected based on the reflected light quantity input from the approach side detection apparatus 21. The measuring object measuring device 10 determines that it has detected the time tn ₁ the reflected light amount n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1. The measuring object measuring device 10 determines that it has detected the time tn ₂ the amount of reflected light o1 that has changed a predetermined threshold value or higher amount than the amount of reflected light n1. Then, the measuring object measuring apparatus 10 uses the reflected light quantity m1, n1, and o1 whose light quantity has changed by a predetermined threshold or more than the previously detected reflected light quantity based on the reflected light quantity input from the entry side detection device 21. Each time when each feature is detected for the first time is identified as feature detection time t3, feature detection time tn ₁ , and feature detection time tn ₂ .
The time relationship is assumed to be feature detection time t3 <feature detection time tn ₁ <feature detection time tn ₂ <feature detection time t11 <feature detection time t23 <feature detection time t30.

Further, the measurement object measuring apparatus 10 determines that the height information A1 is detected at time tn ₃ based on the height information input from the passage side detection apparatus 22. The measuring object measuring device 10 determines that it has detected more than a predetermined threshold level different height information B1 to the time tn ₆ than the height information A1. Further determines that detects a measuring object measuring apparatus 10 is height information height information C1 of different predetermined threshold or higher than B1 at time tn _7. Then, based on the height information input from the passage side detection device 22, the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, and C1 is detected for the first time as a feature detection time tn _3. , Feature detection time tn ₆ and feature detection time tn ₇ . Further, the measuring object measuring device 10 detects the time when it is determined that the road surface has been detected next after detecting the height of the vehicle 30 based on the height information input from the passing side detection device 22, and the time It determines that the feature detection time tn ₈ a.

The measuring object measuring apparatus 10 determines that, based on the amount of reflected light input from the pass side detector 22, detects the reflected light amount m1 has changed more than a predetermined threshold value from the reflected light amount of the road at the time tn _3. The measuring object measuring device 10 determines that it has detected the time tn ₄ the reflected light quantity n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1. The measuring object measuring device 10 determines that it has detected the time tn ₅ the amount of reflected light o1 that the variation of the predetermined threshold value or higher amount than the amount of reflected light n1. Then, the measurement object measuring apparatus 10 uses the reflected light amounts m1, n1, and o1 whose light amounts have changed by a predetermined threshold or more than the previously detected reflected light amount based on the reflected light amount input from the passage side detection device 22. Each time when each feature is detected for the first time is identified as feature detection time tn ₃ , feature detection time tn ₄ , and feature detection time tn ₅ .
The time relationship is assumed to be feature detection time tn ₃ <feature detection time tn ₄ <feature detection time tn ₅ <feature detection time tn ₆ <feature detection time tn ₇ <feature detection time tn ₈ .

Then, the measuring object measuring device 10 includes the feature detection time specified by the height information input from the approach side detection device 21 and the passage side detection device 22, and the installation interval D between the approach side detection device 21 and the passage side detection device 22. Based on the above, the speed of the vehicle 30 at the feature detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 is calculated for each correspondence relationship of the height information. In other words, the measuring object measuring apparatus 10 uses the difference in characteristic detection time (tn ₃ −t3) and the installation interval D for the height information A1, “the speed V1 of the vehicle 30 = D ÷ (tn ₃ -T3) ". Further, the measuring object measuring apparatus 10 uses the difference in the characteristic detection times (tn ₆ −t11) and the installation interval D for the height information B1, and “the speed V2 of the vehicle 30 = D ÷ (tn ₆ − t11) ". Further, the measuring object measuring apparatus 10 uses the difference in the characteristic detection times (tn ₇ −t 23) and the installation interval D for the height information C 1, “Vehicle 30 speed V 3 = D ÷ (tn ₇ − t23) ". In addition, the measurement object measuring apparatus 10 uses the difference between the characteristic detection times (tn ₈ -t30) at which the road surface is detected by the approach side detection apparatus 21 and the passage side detection apparatus 22 and the installation interval D to determine the “vehicle 30 speed V7 = calculated by D ÷ _(tn 8 -t30) "on.

In addition, the measurement object measuring apparatus 10 determines the feature detection time specified by the amount of reflected light input from the approach side detection device 21 or the passage side detection device 22 and the installation interval D between the approach side detection device 21 and the passage side detection device 22. Based on this, the speed of the vehicle 30 at the feature detection time in either one or both of the entry side detection device 21 and the passage side detection device 22 is calculated for each correspondence of the change in the amount of reflected light. In other words, the measurement object measuring apparatus 10 uses the difference (tn ₃ −t3) in the characteristic detection time and the installation interval D for the reflected light amount m1, and “the speed V4 of the vehicle 30 = D ÷ (tn ₃ − t3) ". Further, the measurement object measuring apparatus 10 uses the difference between the characteristic detection times (tn ₄ −tn ₁ ) and the installation interval D for the reflected light amount n ₁ , “Vehicle 30 speed V 5 = D ÷ (tn ₄ − tn ₁ ) ". Further, the measurement object measuring apparatus 10 uses the difference between the characteristic detection times (tn ₅ −tn ₂ ) and the installation interval D for the reflected light amount o1, and “the vehicle 30 speed V6 = D ÷ (tn ₅ − tn ₂ ) ".
In this embodiment, the speed V1 calculated using the feature detection time specified by the height information A1 and the speed V4 calculated using the feature detection time specified by the reflected light amount m1 are the same feature detection time. Since they are calculated using Therefore, the speed V4 will not be used for the processing thereafter.

  And by the above process, the measuring object measuring apparatus 10 uses the speed V1 calculated using the feature detection time when the height information A1 is detected, and the speed calculated using the feature detection time when the height information B1 is detected. V2, velocity V3 calculated using the feature detection time when the height information C1 was detected, velocity V5 calculated using the feature detection time when the reflected light amount n1 was detected, and feature detection time when the reflected light amount o1 was detected A speed V6 calculated using the feature detection time at which the road surface is detected and a speed V7 calculated using the road surface are calculated.

FIG. 9 is a diagram illustrating the relationship between each feature detection time and the speed calculated using the feature detection time.
FIG. 9 shows the relationship between the feature detection time t3 when the height information A1 is detected and the velocity V1 calculated by the measurement object measuring apparatus 10 using the feature detection time t3.
The relationship between the feature detection time tn ₁ at which the reflected light amount n1 was detected and the velocity V5 calculated by the measurement object measuring device 10 using the feature detection time tn ₁ ;
A relationship between the feature detection time tn ₂ at which the reflected light amount o1 is detected and the velocity V6 calculated by the measurement object measuring apparatus 10 using the feature detection time tn ₂ ;
The relationship between the feature detection time t11 when the height information B1 is detected and the velocity V2 calculated by the measurement object measuring apparatus 10 using the feature detection time t11;
The relationship between the feature detection time t23 when the height information C1 is detected and the velocity V3 calculated by the measurement object measuring apparatus 10 using the feature detection time t23;
The relationship between the feature detection time t30 when the road surface is detected and the velocity V7 calculated by the measurement object measuring apparatus 10 using the feature detection time t30.
Is shown.

The measurement object measuring device 10 integrates an expression representing the relationship between the feature detection time shown in FIG. 8 and the speed calculated by the measurement object measurement device 10 using the feature detection time from t3 to t30. The vehicle length of the vehicle 30 can be calculated.
As described above, the measurement object measuring apparatus 10 detects the feature detection time when each of the geometric feature (feature based on the height information) and the optical feature (reflected light amount) of the vehicle 30 that is the measurement target is detected. The vehicle length L of the vehicle 30 is calculated using each speed.

Here, normally, when calculating the vehicle length of the vehicle 30, the detection time T1 of the vehicle 30 in the entry side detection device 21, the passage time (detection end time) T2 of the vehicle 30 in the entry side detection device 21, and When the time interval t from when the vehicle 30 is detected by the approach side detection device 21 until it is detected by the passage side detection device 22 and the installation interval between the approach side detection device 21 and the passage side detection device 22 are D, Since the speed v of the vehicle 30 is calculated by v = D ÷ t,
Vehicle length L of the vehicle 30 = (D ÷ t) · (T2−T1)
It can be calculated using the following formula.
However, the vehicle length L calculated by such an expression is substantially correct when the vehicle 30 is moving at a constant speed v, but the distance between the approach side detection device 21 and the passage side detection device 22 is approximately the same. If you pass while changing the speed at, it will not be an accurate value.

  Therefore, as the measurement object measuring apparatus 10 according to the present embodiment performs, the vehicle length L is calculated in consideration of the change in speed according to the passage of time using the speed V of the vehicle 30 at many feature detection times. Thus, the vehicle length L of the vehicle 30 can be calculated with high accuracy. Since the accuracy of the vehicle length L to be calculated increases as the number of features of the vehicle 30 increases, not only geometric features but also optical features are used. By using optical features, even in a box type vehicle 30 such as a bus with a small amount of change in geometric features such as vehicle height, the amount of reflected light changes due to changes in the material of the vehicle part. More characteristic point changes can be detected, and the vehicle speed and the vehicle length L of the vehicle 30 can be measured more accurately.

Next, a processing flow of the measuring object measuring apparatus 10 according to the present embodiment will be described.
FIG. 10 is a diagram showing a processing flow of the measuring object measuring apparatus according to the present embodiment.
The detection signal extraction unit 18 sequentially inputs detection signals including height information, amount of reflected light, detection time, and the like at predetermined time intervals as time passes (step S101). As described above, the detection signal extraction unit 18 reads the height information, the amount of reflected light, and the detection time from the detection signal input from the entry side detection device 21 or the passage side detection device 22 to obtain the height information and the detection time. And the information of the combination with the identification number (identification number which identifies either the approach side detection apparatus 21 or the passage side detection apparatus 22) of the detection apparatus which detected them is output to the height corresponding | compatible relationship determination part 13. FIG.
The input unit 11 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that detects them (the entry side detection device 21 or the passage side detection). The information of the combination with the identification number for identifying one of the devices 22 is output to the signal strength correspondence determining unit 14.

As a result, the height correspondence determination unit 13 obtains the height information in the data example “information input from the approach side detection device 21” shown in FIG. In the data example “input information”, the height information and each information corresponding to the detection time are input.
The signal intensity correspondence determining unit 14 also includes information corresponding to the amount of reflected light and the detection time in the data example “information input from the entry side detection device 21” illustrated in FIG. Each piece of information corresponding to the amount of reflected light and the detection time in the “information” data example is input.

And whenever the height corresponding | compatible determination part 13 inputs the height information contained in the detection signal transmitted from the approach side detection apparatus 21, for example, the height information (entrance side detection apparatus 21 previously input) is input. (Height information included in the detection signal transmitted from) to determine whether or not the threshold value has changed. Then, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the height correspondence determination unit 13 inputs the earliest among the pieces of height information that fall within the threshold. The detection time corresponding to the height information thus determined is determined as the feature detection time at which the height information is first detected by the approach side detection device 21 (step S102). In the example of FIG. 8, the time when the height information A1 is first detected by the approach side detection device 21 is determined as the feature detection time t3.
Similarly, the time when the height information B1 is first detected by the approach side detection device 21 is the feature detection time t11, and the time when the height information C1 is first detected by the approach side detection device 21 is the feature detection time t23. Thereafter, the time at which the road surface height information is first detected by the approach side detection device 21 is determined as the feature detection time t30. The feature detection time when the road surface height is first detected coincides with the time when the last height information of the vehicle 30 is detected last.

Similarly, each time the height correspondence determination unit 13 inputs the height information included in the detection signal transmitted from the passage side detection device 22, for example, the height information (passage side detection) that has been input one time before is input. It is determined whether or not the threshold value has changed by more than a threshold value compared with height information included in the detection signal transmitted from the device 22. Then, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the height correspondence determination unit 13 inputs the earliest among the pieces of height information that fall within the threshold. The detection time corresponding to the height information is determined as the feature detection time at which the height information is first detected by the passage side detection device 22 (step S103). Determines that the feature detection time tn ₃ initially detected time in the pass-side detecting device 22 the height information A1 in the example of FIG. 8. Similarly, the time at which the height information B1 is first detected by the passage side detection device 22 is the feature detection time tn ₆ and the time at which the height information C1 is first detected by the passage side detection device 22 is the feature detection time tn _7. Then, the time when the road surface height information is first detected by the passage side detection device 22 is determined as the feature detection time tn ₈ .

Then, the height correspondence determination unit 13 determines the feature detection time t3, the feature detection time t11, the feature detection time t23, and the feature detection time t30 determined for the approach side detection device 21, and the feature detection determined for the passage side detection device 22. Correspondence of height information indicating the same part of the vehicle 30 based on the value of height information corresponding to the time tn ₃ , feature detection time tn ₆ , feature detection time tn ₇ , and feature detection time tn _8. Classification is made for each relationship (step S104). In other words, the height correspondence determining unit 13 compares the value of the height information detected by the feature detection time t3 the entrance side detector 21, the value of the height detected by the passage-side detection device 22 in the feature detection time tn ₃ Since the difference is less than or equal to the threshold value, it is determined that the classification is the same. The height correspondence determining unit 13, a feature detection time t3, the feature detection time t3 height information detected by the entrance side detection device 21 to A1, also a feature detection time tn _3, the feature detection time tn ₃ The height information A1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.

Similarly, the height correspondence determination unit 13 determines the height information value detected by the approach side detection device 21 at the feature detection time t11 and the height information detected by the passage side detection device 22 at the feature detection time tn _6. Since the difference between the values is equal to or less than the threshold value, the same classification is determined. The height correspondence determining unit 13, a feature detection time t11, the feature detection time t11 height information detected by the entrance side detection device 21 to B1, also a feature detection time tn _6, the feature detection time tn ₆ The height information B1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in a queue provided in the second speed calculation unit 15.
Similarly, the height correspondence determining unit 13 compares the value of the height detected by the entrance side detection device 21 in the feature detection time t23, the height information detected by the passage-side detection device 22 in the feature detection time tn ₇ Since the difference between the values is equal to or less than the threshold value, the same classification is determined. The height correspondence determining unit 13, a feature detection time t23, the feature detection time t23 the entrance side detector 21 height information C1 detected in addition, a feature detection time tn _7, the feature detection time tn ₇ The height information C1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.

Similarly, the height correspondence determination unit 13 detects the value of the height information (road surface) detected by the approach side detection device 21 at the feature detection time t30 and the passage side detection device 22 at the feature detection time tn ₈ . Since the difference in the value of the height information (road surface) is equal to or less than the threshold value, it is determined that the classification is the same. The height correspondence determining unit 13, a feature detection time t30, the feature detection time t30 the entrance side detection device 21 with the detected road surface height, also a feature detection time tn _8, passed through a feature detection time tn ₈ The road surface height detected by the side detection device 22 is associated with classification information belonging to the same classification, and written in a queue provided in the second speed calculation unit 15.

  Then, the height correspondence determination unit 13 repeats the determination of the feature detection time based on the height information detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time as described above. . The height correspondence determination unit 13 compares the input height information with the road height stored in advance, and determines that the input height information is the road height. Vehicle passing information indicating that the vehicle has passed through the approach side detection device 21 and the passage side detection device 22 is written in a queue provided in the second speed calculation unit 15 and the first speed calculation unit 16.

Next, the second speed calculation unit 15 reads the first classification information from the queue. The Classification information, wherein detection time t3, the feature detection time t3 height information detected by the entrance side detection device 21 to A1, also a feature detection time tn _3, the feature detection time tn ₃ to the passage side detection device The height information A1 detected at 22 is stored. Then, the second speed calculation unit 15 acquires the feature detection time t3 and the feature detection time tn ₃ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature. The speed V1 of the vehicle 30 at the detection time tn ₃ is calculated by V1 = D ÷ (tn ₃ −t3) (step S105), and is associated with either the feature detection time t3 or the feature detection time tn ₃ and is long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V1 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.

Here, the second speed calculation unit 15 determines whether the information read from the queue next is vehicle passage information (step S106). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the second speed calculation unit 15 reads the next classification information from the queue. The Classification information, wherein detection time t11, the feature detection time t11 height information detected by the entrance side detection device 21 to B1, also a feature detection time tn _6, the feature detection time tn ₆ to the passage side detection device The height information B1 detected at 22 is stored. Then, the second speed calculation unit 15 acquires the feature detection time t11 and the feature detection time tn ₆ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t11 or the feature. The speed V2 of the vehicle 30 at the detection time tn ₆ is calculated by V2 = D ÷ (tn ₆ −t11), and associated with either the feature detection time t11 or the feature detection time tn ₆ , and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V2 and the feature detection time t11 are associated with each other and written to a queue provided in the length calculation unit 17.

Similarly, the second speed calculation unit 15 reads the next classification information from the queue. The Classification information, wherein detection time t23, the feature detection time t23 the entrance side detector 21 height information C1 detected in addition, a feature detection time tn _7, feature detection time tn ₇ to the passage side detection device The height information C1 detected at 22 is stored. The second speed calculation unit 15 acquires the feature detection time t23 and the feature detection time tn ₇ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t23 or the feature. The speed V3 of the vehicle 30 at the detection time tn ₇ is calculated by V3 = D ÷ (tn ₇ −t23), and associated with either the feature detection time t23 or the feature detection time tn ₇ , and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V3 and the feature detection time t23 are associated with each other and written to the queue provided in the length calculation unit 17.

Similarly, the second speed calculation unit 15 reads the next classification information from the queue. To the classification information, wherein the detection time t30, height information detected by the entrance side detection device 21 on the feature detection time t30 (the road surface height), also a feature detection time tn _8, the feature detection time tn ₈ The height information (road surface height) detected by the passage side detection device 22 is stored. The second speed calculation unit 15 acquires the feature detection time t30 and the feature detection time tn ₈ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t30 or the feature. The speed V7 of the vehicle 30 at the detection time tn ₈ is calculated by V7 = D ÷ (tn ₈ −t30), and is associated with either the feature detection time t23 or the feature detection time tn ₈ , and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V7 and the feature detection time t30 are associated with each other and written in a queue provided in the length calculation unit 17.

  Then, when the vehicle passage information is read from the queue, the second speed calculation unit 15 stops calculating the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.

On the other hand, whenever the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the approach side detection device 21, for example, the previously reflected light amount (transmitted from the approach side detection device 21 is transmitted). It is determined whether or not the amount of reflected light included in the detected signal has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the amount of reflected light is first detected by the approach side detection device 21 (step S107). In the example of FIG. 8, the time when the reflected light amount m1 is first detected by the approach side detection device 21 is determined as the feature detection time t3. Similarly, determine the amount of reflected light n1, wherein detection time tn ₁ initially detected time the entry side detector 21, the detected first time in the entry side detecting device 21 the amount of reflected light o1, wherein detection time tn ₂ To do.

Similarly, whenever the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the passage side detection device 22, for example, the reflected light amount (passing side detection device 22) that was input one time before is input. (Amount of reflected light included in the detection signal transmitted from) is determined whether it has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the reflected light amount is first detected by the passage side detection device 22 (step S108). It determines that the feature detection time tn ₃ the first time detected in the pass side detecting device 22 reflected light amount m1 in the example of FIG. 8. Similarly, the time when the reflected light amount n1 is first detected by the passage side detection device 22 is determined as a feature detection time tn _4, and the time when the reflected light amount o1 is first detected by the passage side detection device 22 is determined as a feature detection time tn _5. To do.

Then, the signal intensity corresponding relationship determination unit 14, the feature detection time t3 which is determined for entry side detector 21, the feature detection time tn _1, wherein the detection time tn _2, wherein the detection time tn ₃ was determined for passing side detector 22 , Feature detection time tn ₄ and feature detection time tn ₅ are classified for each correspondence relationship of the reflected light amount indicating the same part of the vehicle 30 based on the value of the reflected light amount corresponding to the detected time (step S109). That is, the signal strength correspondence determining unit 14 compares the value of the reflected light amount detected by the entrance side detection device 21 to the feature detection time t3, the difference between the values of the reflected light amount detected by the passage-side detection device 22 in the feature detection time tn ₃ Are equal to or less than the threshold value, it is determined to be the same classification. The signal intensity correspondence determining unit 14, a feature detection time t3, the feature detection time t3 reflected light amount detected by the entrance side detection device 21 to m1, also a feature detection time tn _3, passes to the feature detection time tn ₃ The reflected light amount m1 detected by the side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.

Similarly, the signal intensity correspondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn ₁ and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn ₄ . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same. The signal intensity correspondence determining unit 14 then detects the feature detection time tn ₁ , the reflected light amount n 1 detected by the entry side detection device 21 at the feature detection time tn ₁ , the feature detection time tn _4, and the feature detection time tn _4. The reflected light amount n1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and written to the queue provided in the first speed calculation unit 16.
Similarly, the signal strength correspondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn ₂ and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn ₅ . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same. The signal intensity correspondence determining unit 14 then detects the feature detection time tn ₂ , the reflected light amount o 1 detected by the approach side detection device 21 at the feature detection time tn ₂ , the feature detection time tn _5, and the feature detection time tn _5. The reflected light amount o1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.

  Then, as described above, the signal intensity correspondence determination unit 14 repeats the determination of the feature detection time based on the amount of reflected light detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time. When the repeated processing for one vehicle 30 is completed, the vehicle passage information output from the height correspondence determination unit 13 described above is written in a queue provided in the first speed calculation unit 16.

Next, the first speed calculation unit 16 reads the first classification information from the queue. To the classification information, wherein the detection time t3, the feature detection time t3 reflected light amount detected by the entrance side detection device 21 to m1, also a feature detection time tn _3, passing side detection device, wherein the detection time tn ₃ 22 The amount of reflected light m1 detected in step 1 is stored. The first speed calculation unit 16 acquires the feature detection time t3 and the feature detection time tn ₃ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature. the speed V4 of the vehicle 30 at the detection time tn _3, calculated by _{V4 = D ÷ (tn 3 -t3} ) ( step S110), in association with either one of the feature detection time t3 or feature detection time tn _3, the length The data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V4 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.

Here, the first speed calculation unit 16 determines whether the information read from the queue next is vehicle passage information (step S111). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the first speed calculation unit 16 reads the next classification information from the queue. The Classification information, wherein detection time tn _1, the feature detection time tn ₁ reflected light amount detected by the entrance side detection device 21 to n1, also a feature detection time tn _4, passing side detection in the feature detection time tn ₄ The amount of reflected light n1 detected by the device 22 is stored. The first speed calculation unit 16 acquires the feature detection time tn ₁ and the feature detection time tn ₄ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn _1. or the speed V5 of the vehicle 30 in the feature detection time tn _4, V5 = calculated by _{D ÷ (tn 4 -tn 1)} , in association with either one of the feature detection time tn ₁ or feature detection time tn _4, the length The data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V5 and feature detection time tn _1, and written to the queue included in the length calculating unit 17.

Further, the first speed calculation unit 16 reads the next classification information from the queue. The Classification information, wherein detection time tn _2, the feature detection time tn ₂ the entrance side detector 21 the reflected light quantity o1 detected in, also a feature detection time tn _5, passing side detection in the feature detection time tn ₅ The amount of reflected light o1 detected by the device 22 is stored. The first speed calculation unit 16 acquires the feature detection time tn ₂ and the feature detection time tn ₅ included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn _2. Alternatively, the speed V6 of the vehicle 30 at the feature detection time tn ₅ is calculated by V6 = D ÷ (tn ₅ −tn ₂ ), and is associated with either the feature detection time tn ₂ or the feature detection time tn ₅ to be long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V6 and feature detection time tn _2, and written into the queue included in the length calculating unit 17.

  Then, when the vehicle passage information is read from the queue, the first speed calculation unit 16 stops the calculation of the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.

The queue provided in the length calculation unit 17 is now
Information in which the speed V1 and the feature detection time t3 are associated with each other;
Information in which the speed V2 is associated with the feature detection time t11,
Information in which the speed V3 and the feature detection time t23 are associated with each other;
Information in which the speed V4 and the feature detection time t3 are associated with each other;
Information in which the speed V5 and the feature detection time tn ₁ are associated with each other,
Information in which the speed V6 and the feature detection time tn ₂ are associated with each other,
Information in which the speed V7 and the passage time t30 are associated with each other;
Vehicle passing information,
Is recorded. Then, the length calculation unit 17 uses the queues to obtain information about the combination of the speed V1 and the feature detection time t3, information about the combination of the speed V2 and the feature detection time t11, and the combination of the speed V3 and the feature detection time t23. information, the combination of information between the speed V4 and the feature detection time t3, the combination of information between the speed V5 and feature detection time tn _1, and the combination information of the speed V6 and feature detection time tn _2, speed V7 and passage time t30 The information on the combination and the vehicle passage information are sequentially read. Then, when the vehicle passage information is read, the length calculation unit 17 temporarily stops reading the information from the queue, reads the feature detection time from the information of each combination, and determines whether there is a matching feature detection time. To do. Then, when there is a matching feature detection time, the length calculation unit 17 determines to exclude the combination information including the later feature detection time from the information used for processing. In the present embodiment, the feature detection times coincide in the information on the combination of the speed V1 and the feature detection time t3 and the information on the combination of the speed V4 and the feature detection time t3. Therefore, the length calculation unit 17 determines to exclude the information on the combination of the speed V4 and the feature detection time t3 from the information used for processing. Note that information determined to be excluded from information used for processing may be deleted.

Then, the length calculation unit 17 includes information on the combination of the speed V1 and the feature detection time t3, information on the combination of the speed V2 and the feature detection time t11, information on the combination of the speed V3 and the feature detection time t23, and the speed V5. The vehicle length L of the vehicle 30 is calculated using information on the combination of the vehicle speed and the feature detection time tn ₁ and information on the combination of the speed V6 and the feature detection time tn ₂ (step S112). More specifically, information of two combinations is specified in the order of early feature detection time. Here, identification and combination of the speed V1 and the feature detection time t3 information, the information of the combination of velocity V5 and feature detection time tn _1. The length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V1, feature detection time t3) and (speed V5, feature detection time tn ₁ ). function was using the equation shown, for calculating the integral value from the feature detection time t3 to the feature detection time tn _1. Then, the combination information including the earliest feature detection time is excluded from the information used for processing. The information on the combination to be excluded is information on the combination of the speed V1 and the feature detection time t3.

Next, the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of speed V5 and feature detection time tn ₁ and information on the combination of speed V6 and feature detection time tn ₂ are specified.
The length calculation unit 17 is a function where x is a feature detection time and y is a speed, and (speed V5, feature detection time tn ₁ ) and (speed V6, feature detection time tn ₂ ) An integral value from the feature detection time tn ₁ to the feature detection time tn ₂ is calculated using an expression indicated by the passing function. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
Information combinations are excluded, the information of the combination of the speed V5 and feature detection time tn _1.

Next, the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, identification and combination of the speed V6 and feature detection time tn ₂ information, the information of the combination of the speed V2 and the feature detection time t11.
The length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V6, feature detection time tn ₂ ) and (speed V2, feature detection time t11). An integral value from the feature detection time tn ₂ to the feature detection time t11 is calculated using an expression indicated by the function. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
Information combinations are excluded, the information of the combination of the speed V6 and feature detection time tn _2.

Next, the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of the speed V2 and the feature detection time t11 and information on the combination of the speed V3 and the feature detection time t23 are specified.
The length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V2, feature detection time t11) and (speed V3, feature detection time t23). Is calculated from the feature detection time t11 to the feature detection time t23. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
The information on the excluded combination is information on the combination of the speed V2 and the feature detection time t11.

Next, the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of speed V3 and feature detection time t23 and information on the combination of speed V7 and feature detection time t30 are specified.
The length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V3, feature detection time t23) and (speed V7, feature detection time t30). Is calculated from the feature detection time t23 to the feature detection time t30. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
The information on the excluded combination is information on the combination of the speed V3 and the feature detection time t23.

  Finally, when only one piece of information on the combination of the speed V7 and the feature detection time t30 remains, the integration process ends. Then, the length calculation unit 17 sums up the results calculated by integration, and outputs this as the length L of the vehicle 30.

The length calculation unit 17 uses the x-axis as the feature detection time and the y-axis as the speed, and (speed V1, feature detection time t3), (speed V5, feature detection time tn ₁ ), (speed V6, feature detection time). tn ₂ ), (velocity V2, feature detection time t11), (velocity V3, feature detection time t23) and (velocity V7, feature detection time t30) are obtained as smooth approximation formulas, and the approximate formulas are used. Thus, an integrated value from the feature detection time t3 with the earliest detection time to the feature detection time t30 with the latest detection time may be calculated and output as the length L of the vehicle 30.

  As mentioned above, although embodiment of this invention was described, according to the process of the above-mentioned measuring object measuring apparatus 10, the length of the advancing direction of a measuring object can be detected with sufficient precision.

In the above-described processing of Step S102 and Step S103, the height correspondence determination unit 13 falls within the threshold when the height information whose change in height information is within the threshold is continuously input a predetermined number of times or more. Among the stored height information, the detection time corresponding to the earliest input height information is determined as the feature detection time at which the height information was first detected. However, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the earliest input height information among the pieces of height information that fall within the threshold is the measurement target. Since the height of the object changes, the reliability of the detected height information value is low. Accordingly, when the height information whose change in height information is within the threshold value is input continuously for a predetermined number of times or more, the height information other than the earliest input height information among the height information that falls within the threshold value. Information detection time may be determined as feature detection time.
That is, in this case, referring to FIG. 7, for example, the detection time t4 is determined as the feature detection time of the height information A1, the detection time t12 is determined as the feature detection time of the height information B1, and the detection time t24 is set as the detection time t24. It will be determined as the feature detection time of the height information C1.

Further, in the processing of step S107 and step S108 described above, the signal intensity correspondence determination unit 14 inputs each amount of reflected light whose change in reflected light amount is within the threshold value continuously for a predetermined number of times or more. Of the reflected light amounts, the detection time corresponding to the reflected light amount input earliest is determined as the feature detection time at which each reflected light amount that falls within the threshold is first detected. However, when the amount of reflected light whose change in reflected light amount is within the threshold is continuously input for a predetermined number of times or more, the earliest reflected light amount among the reflected light amounts that fall within the threshold is the reflected light amount of the measurement object. Therefore, the reliability of the detected amount of reflected light is low. Therefore, when a reflected light amount whose change in reflected light amount is within the threshold is continuously input a predetermined number of times or more, the detection time of the reflected light amount other than the earliest input reflected light amount among the reflected light amounts that fall within the threshold value is set. The feature detection time may be determined.
That is, in this case, referring to FIG. 8, for example, the next detection time after the detection time tn ₁ is determined as the feature detection time of the reflected light amount n1, and the next detection time after the detection time tn ₂ is the feature of the reflected light amount o1. The detection time is determined.

  In this embodiment, the length of the measurement object is determined by using the detection time of the geometric feature of the measurement object and the detection time of the optical feature in each detection device installed in the traveling direction. An example of calculating the thickness is described. However, the present invention is not limited to this, and the detection time of the optical feature of the measurement object is used instead of the detection time of the geometric feature of the measurement object in each detection device installed in the traveling direction. The length of the measurement object may be calculated. When there is no geometric feature in the measurement object, the measurement object is used by using the optical characteristics of the measurement object (characteristics in which the amount of reflected light changes greatly, such as the color of the glass surface of the vehicle 30 or the body color). Can be measured.

The measurement object measuring apparatus 10 described above has a computer system inside.
Each process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing the program. Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.

The program may be for realizing a part of the functions described above.
Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

  According to the processing of the measurement object measuring apparatus of the present invention, when measuring the vehicle length, an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.

DESCRIPTION OF SYMBOLS 10 ... Measuring object measuring apparatus 11 ... Input part 12 ... Memory | storage part 13 ... Height correspondence determination part 14 ... Signal strength correspondence determination part 15 ... 2nd speed calculation part 16 ... 1st speed calculation part 17 ... Length calculation part 21 ... Approaching side detection apparatus 22 ... Passing side detection apparatus 30 ... Vehicle

In order to achieve the above object, the present invention provides a detection that shows the characteristics of the measurement object from each of an entry-side detection device and a passage-side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input unit that inputs a signal, the entry side detection device, and the passage side detection device, the feature increase / decrease information indicating the value of increase or decrease of the feature of the measurement object and the detection signal And a feature detection information generating unit that generates feature detection information including the feature detection time included in the input detection signal, and the detection signal for the measurement object is first detected by the approach side detection device. The feature detection time when the entry-side detection device detects the measurement object on a later time axis, and the feature detection time when the passage-side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship, a point having the first feature detection time in each of the two detection devices of the approach side detection device and the passage side detection device, and the measurement object in the two detection devices based on the point of the component last feature detection time for, when a function therethrough point, where the measurement object between the passage side detecting device and the entry side detector has traveled an average acceleration A function derivation unit for deriving a function representing the passage time of each feature of the measurement object in the entry side detection device and the passage side detection device, and the feature detection time included in the input detection signal as one component By substituting into the function and calculating the other component, it is assumed that the measurement object has traveled between the entry side detection device and the passage side detection device at the average acceleration. A hypothetical time at which the feature indicated by the feature detection information generated based on the detection signal input from either the detection device or the detection device of the passing side detection device may be detected by the other detection device is calculated. The feature detection information generated based on the assumption time calculation unit and one detection signal from the one detection device is specified, the feature increase / decrease information is read from the feature detection information, and the detection from the other detection device is performed. Feature detection information candidate identification that identifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the signal And the feature detection time included in the one detection signal input from the one detection device among the specified feature detection information is substituted into the function as one component. An assumption time obtained by calculating the other component, a feature detection information specifying unit for specifying feature detection information including the closest feature detection time, one detection signal input from the one detection device, Corresponding to a detection signal, a detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit is determined as a corresponding detection signal when the feature point of the measurement object is detected. A measurement object measuring apparatus comprising: a relationship determination unit.

Further, the present invention is a processing method for a measurement object measuring device, wherein the input unit is provided by each of an entry side detection device and a passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object. A detection signal indicating the characteristic of the measurement object is input, and the feature detection information generation unit increases the characteristic of the measurement object each time the detection signal is input from the entry side detection device and the passage side detection device. Alternatively, feature detection information including feature increase / decrease information indicating a decrease value and feature detection time included in the detection signal is generated based on the input detection signal, and a function derivation unit performs the measurement with the entry side detection device. The feature detection time when the entry-side detection device detects the measurement object on the time axis after first detecting the detection signal for the object, and the passage-side detection device on the time axis performs the measurement The object In the two-dimensional coordinate system representing the relationship with the feature detection time when it is issued, the first feature detection time in each of the two detection devices of the entry side detection device and the passage side detection device as a component, Based on a point having the last feature detection time for the measurement object in the two detection devices as a component, a function that passes through these points , and between the entry side detection device and the passage side detection device , lead to function measurement object representing the passage time of each feature of the measurement object in the passage side detecting device and the entry side detecting device when the vehicle travels at an average acceleration, assuming the time calculation unit, a detection signal input By substituting the feature detection time included in the function as one component and calculating the other component, the measurement object is between the entry side detection device and the passage side detection device at the average acceleration. When it is assumed that the vehicle has traveled, the feature indicated by the feature detection information generated based on the detection signal input from either the entry side detection device or the passage side detection device is detected by the other detection device. An assumed time that may be detected, and a feature detection information candidate specifying unit specifies feature detection information generated based on one detection signal from the one detection device, and features from the feature detection information Feature increase / decrease indicating the same value as the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from the other detection device by reading the increase / decrease information Feature detection information including information is specified, and the feature detection information specifying unit includes feature detection information included in the one detection signal input from the one detection device among the specified feature detection information. The assumed time obtained by substituting the time as one component into the function and calculating the other component and feature detection information including the feature detection time closest to the time are specified, and the detection signal correspondence determination unit One detection signal input from one detection device and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit are used as feature points of the measurement object. This is a processing method for determining a corresponding detection signal at the time of detection.

Further, the present invention relates to a computer of a measurement object measuring device, wherein the characteristics of the measurement object are respectively determined from an entrance side detection device and a passage side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input means for inputting the detection signal indicating, the entry side detection device and the passage side detection device, the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object and the detection Feature detection information generating means for generating feature detection information including the feature detection time included in the signal based on the input detection signal, and the detection signal for the measurement object is first detected by the entry side detection device The feature detection time when the entry-side detection device detects the measurement object on a later time axis, and the feature detection time when the passage-side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship with the sign detection time, the two detection devices include a point having a first feature detection time as a component in each of the two detection devices of the approach side detection device and the passage side detection device. Based on a point having the last feature detection time for the measurement object in the component as a component, and a function passing through these points, and the measurement object is averaged between the entry side detection device and the passage side detection device Function deriving means for deriving a function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device when traveling at an acceleration , and the feature detection time included in the input detection signal Assuming that the measurement object travels between the entry-side detection device and the passage-side detection device at the average acceleration by substituting the component as the component and calculating the other component. In addition, there is a possibility that the feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device and the passage side detection device is detected by the other detection device. Assumed time calculating means for calculating an assumed time, identifying feature detection information generated based on one detection signal from the one detection device, reading feature increase / decrease information from the feature detection information, and detecting the other A feature that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from the device Detection information candidate specifying means, among the specified feature detection information, the feature detection time included in the one detection signal input from the one detection device as one component Feature detection information specifying means for specifying feature detection information including the feature detection time closest to the assumed time obtained by calculating the other component by substituting into the function, one detection input from the one detection device The signal and the detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying means are determined as the corresponding detection signals when the feature point of the measurement object is detected. This is a program that functions as detection signal correspondence relationship determining means.

Claims (10)

An input unit for inputting a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object;
Each time the detection signal is input from the entry side detection device and the passage side detection device, feature increase / decrease information indicating an increase or decrease value of the feature of the measurement object and a feature detection time included in the detection signal are obtained. A feature detection information generating unit that generates feature detection information including the detected detection signal based on the input detection signal;
The feature detection time when the entry side detection device detects the measurement object on the time axis after the detection signal for the measurement object is first detected by the entry side detection device, and the time axis. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing side detecting device detects the measurement object, the first in each of the two detecting devices of the approaching side detecting device and the passing side detecting device A function having a feature detection time as a component and a point having the last feature detection time for the measurement object in the two detection devices as a component, the entry side detection device and the passage side detection. A function derivation unit for deriving a function representing a passage time of each feature of the measurement object in the entry side detection device and the passage side detection device according to an average acceleration of the measurement object that has traveled between devices;
By substituting the feature detection time included in the input detection signal into the function as one component and calculating the other component, the measurement object is detected by the average acceleration and the entry side detection device and the passage side detection. When it is assumed that the vehicle has traveled between devices, the feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device and the passage side detection device is the other feature. An assumed time calculation unit for calculating an assumed time that may be detected by the detection device;
The feature detection information generated based on one detection signal from the one detection device is specified, the feature increase / decrease information is read from the feature detection information, and the feature detection information is generated based on the detection signal from the other detection device. A feature detection information candidate specifying unit that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information,
Of the specified feature detection information, an assumed time obtained by substituting the feature detection time included in the one detection signal input from the one detection device into the function as one component and calculating the other component And a feature detection information specifying unit for specifying feature detection information including the feature detection time closest to the time,
One detection signal input from the one detection device and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit are feature points of the measurement object. A detection signal correspondence determining unit that determines a corresponding detection signal when detecting
A measuring object measuring apparatus comprising: The number of times the measurement object is detected between the first feature detection time and the last feature detection time in the entry side detection device;
The number of times the measurement object is detected between the first feature detection time and the last feature detection time in the passage-side detection device;
Comparing the detection device with a small number of times of detecting the measurement object among the entry side detection device and the passage side detection device, a reference detection device specifying unit for specifying the one detection device,
The measuring object measuring apparatus according to claim 1, comprising: The input unit outputs a detection signal including a characteristic indicating the intensity of a light reflection signal corresponding to a light irradiation signal irradiated to the measurement object and a characteristic detection time of each of the entry side detection device and the passage side detection device. Enter more
The feature detection information generation unit, based on the detection signal, feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the optical feature of the measurement target and a feature detection time included in the detection signal The measurement object measuring apparatus according to claim 1, wherein the feature detection information is generated. The input unit includes a feature indicating height information of the measurement object detected using a transmission / reception interval between the irradiation time of the light irradiation signal and the reception time of the light reflection signal, and a detection signal including the feature detection time Is input from each of the approach side detection device and the passage side detection device,
The feature detection information generation unit, based on the detection signal, feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the geometric feature of the measurement target and feature detection included in the detection signal The measurement object measuring device according to any one of claims 1 to 3, wherein feature detection information including time is generated. The detection signal correspondence determination unit
Of the feature detection times included in the feature detection information specified by the feature detection information candidate specifying unit, the feature detection time included in the one detection signal input from the one detection device is used as one component in the function. One detection signal input from the one detection device only when the feature detection time closest to the assumed time obtained by substituting and calculating the other component is within a predetermined time difference from the assumed time And the detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit is determined as a corresponding detection signal when the feature point of the measurement object is detected. The measuring object measuring apparatus as described in any one of Claims 1-4. The relationship between the feature detection time included in the detection signal first input for the measurement object from the entry side detection device and the feature detection time included in the detection signal first input for the measurement object from the passage side detection device And a feature detection time included in a detection signal last input for the measurement object from the entry side detection device and a feature detection time included in a detection signal last input for the measurement object from the passage side detection device. Compared with the context, if the context is different, a correspondence determination stop unit that stops the determination of the correspondence of the detection signals input from the entry side detection device and the passage side detection device,
The measuring object measuring device according to any one of claims 1 to 5, further comprising: Included in each of the one detection signal input from the one detection device and the detection signal input from the other detection device, which are determined as corresponding detection signals when the feature point of the measurement object is detected A speed calculating unit that calculates a speed for each of the feature points of the measurement object based on a plurality of combinations of feature detection times and the installation interval;
A measuring object measuring apparatus according to any one of claims 1 to 6, further comprising: The speed for each of the feature points and / or the feature detection time included in the detection signal input from the entry side detection device and / or the feature detection time included in the detection signal input from the passage side detection device A length calculating unit that calculates the length of the measurement object in the traveling direction;
The measuring object measuring device according to claim 7 provided with. A processing method for a measuring object measuring apparatus,
The input unit inputs a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object,
Each time the feature detection information generation unit inputs the detection signal from the entry side detection device and the passage side detection device, the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object and the detection signal Generate feature detection information including the feature detection time included based on the input detection signal,
The feature detection time when the entry side detection device detects the measurement object on the time axis after the function deriving unit first detects the detection signal for the measurement object with the entry side detection device; In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing-side detection device detects the measurement object on the time axis, two of the approach-side detection device and the passing-side detection device A function that passes through a point having the first feature detection time in each of the detection devices as a component and a point having the last feature detection time for the measurement object in the two detection devices as components, the entry side detection device And a function representing the passage time of each feature of the measurement object in the entry side detection device and the passage side detection device, based on the average acceleration of the measurement object that has traveled between the passage side detection device and
The assumed time calculation unit calculates the other component by substituting the feature detection time included in the input detection signal into the function as one component, so that the measurement object is detected on the entry side by the average acceleration. Feature detection information generated based on a detection signal input from either the entry side detection device or the passage side detection device, assuming that the vehicle travels between the device and the passage side detection device Calculate the assumed time that the characteristic indicated by may be detected by the other detection device,
A feature detection information candidate specifying unit specifies feature detection information generated based on one detection signal from the one detection device, reads feature increase / decrease information from the feature detection information, and reads from the other detection device Identifying feature detection information including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal of
The feature detection information specifying unit assigns the feature detection time included in the one detection signal input from the one detection device to the function as one component of the specified feature detection information, and substitutes the other component into the function. Identify the feature detection information that includes the calculated assumed time and the closest feature detection time,
The detection signal correspondence determining unit receives one detection signal input from the one detection device, and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit. A processing method for determining a corresponding detection signal when a feature point of the measurement object is detected. The computer of the measuring object measuring device
Input means for inputting a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object;
Each time the detection signal is input from the entry side detection device and the passage side detection device, feature increase / decrease information indicating an increase or decrease value of the feature of the measurement object and a feature detection time included in the detection signal are obtained. Feature detection information generating means for generating feature detection information including the input based on the input detection signal;
The feature detection time when the entry side detection device detects the measurement object on the time axis after the detection signal for the measurement object is first detected by the entry side detection device, and the time axis. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing side detecting device detects the measurement object, the first in each of the two detecting devices of the approaching side detecting device and the passing side detecting device A function having a feature detection time as a component and a point having the last feature detection time for the measurement object in the two detection devices as a component, the entry side detection device and the passage side detection. A function derivation unit for deriving a function representing a passage time of each feature of the measurement object in the entry side detection device and the passage side detection device, based on an average acceleration of the measurement object that has traveled between devices;
By substituting the feature detection time included in the input detection signal into the function as one component and calculating the other component, the measurement object is detected by the average acceleration and the entry side detection device and the passage side detection. When it is assumed that the vehicle has traveled between the devices, the feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device or the passage side detection device is the other feature. Assumed time calculation means for calculating an assumed time that may be detected by the detection device;
The feature detection information generated based on one detection signal from the one detection device is specified, the feature increase / decrease information is read from the feature detection information, and the feature detection information is generated based on the detection signal from the other detection device. Feature detection information candidate specifying means for specifying feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information,
Of the specified feature detection information, an assumed time obtained by substituting the feature detection time included in the one detection signal input from the one detection device into the function as one component and calculating the other component And feature detection information specifying means for specifying feature detection information including the closest feature detection time,
One detection signal input from the one detection device and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying means are feature points of the measurement object. Detection signal correspondence determination means for determining a corresponding detection signal when detecting
Program to function as.

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