JP2008045998A - Object detecting device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an object detecting device capable of determining more surely whether the same object exists or not, and accurately performing tracking of an object highly. <P>SOLUTION: An ACC system 1a is equipped with a stereo camera 11, a target tracking part 20, a preceding-car recognition ECU 30, and a traveling control unit 40. The target tracking part 20 has a width fluctuation history counter 21, a tracking reference determining part 22, and a tracking processing part 23. The width fluctuation history counter 21 counts the width fluctuation of an image target, and the tracking reference determining part 22 takes a tracking reference position at the near end to the stereo camera 11, in between the right and left both ends of the target, when the width fluctuations are large, and takes the tracking reference position on the center of the target, when the width fluctuation is small. As a result, tracking of the object can be performed with high accuracy. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an object detection device, and more particularly to an object detection device that detects an object such as an interrupting vehicle on a road.

As one of the vehicle driving support devices, a driving support device that detects an object such as an interrupted vehicle on the road and automatically controls the throttle and brake so as to maintain the set values of the speed and the inter-vehicle distance is put into practical use. Has been. In Patent Document 1, a radar wave is transmitted to an object in front of a vehicle, a center of gravity position of the object is calculated from a reflected wave from the object, and the center of gravity position of the object calculated at the next timing is compared with the previously calculated center of gravity position. Describes a technique for tracking an object while determining that the object is the same object by comparing.
Japanese Patent Laid-Open No. 5-180933

  However, in the situation where an interrupting vehicle or the like is detected in the above-described technique, the width of the vehicle detected by the radar is likely to fluctuate, so that the calculated center of gravity position of the vehicle is likely to fluctuate. Therefore, when it is determined that they are the same vehicle by comparing the center of gravity position of the vehicle calculated at each time as in the above technique, it can be determined that they are the same vehicle even though they are the same vehicle. In some cases, the interrupted vehicle cannot be tracked.

  The present invention has been made in view of such circumstances, and an object of the present invention is to provide an object detection device that can more reliably determine whether or not the objects are the same and perform object tracking with higher accuracy. There is.

  The present invention provides an acquisition unit that acquires position information of a plurality of locations of an object that is a detection target, a setting unit that sets reference position information based on the position information of a plurality of locations of the object acquired by the acquisition unit, and a setting unit In the object detection apparatus comprising: the same determination unit that determines whether the objects related to the reference position information are the same object by comparing the reference position information set at different times according to The reference position information is set while placing importance on the position information closer to the acquisition means among the position information.

  As described above, the width of the detected object may fluctuate. In such a case, it is difficult to reliably determine the identity of the object based on the position of the center of gravity of the object. However, according to the configuration described above, the setting unit sets the reference position information while placing importance on the position information closer to the acquisition unit in the position information of the object. Since the position information close to the acquisition unit is relatively stable, according to this configuration, it is possible to reliably determine whether or not the detected object is the same even if the width of the detected object is not stable. The possibility can be increased and the object can be tracked with higher accuracy.

  In this case, it is preferable that the setting means sets the reference position information based on the position information of the end close to the acquisition means among the left and right ends of the object.

  As described above, the width of the detected object may fluctuate, and this tendency is particularly remarkable when the far end from the acquisition means is located outside the detection range within the left and right ends of the object. Therefore, in such a case, it is difficult to reliably determine the identity of the object based on the position of the center of gravity of the object. However, according to the above configuration, the setting unit sets the reference position information that serves as a reference for determining the identity of the object, based on the position information of the end close to the acquisition unit among the left and right ends of the object. Since the position information of the end near the acquisition means among the left and right ends of the object is relatively stable, even if the width of the detected object is not stable, it is reliably determined whether or not they are the same object The possibility of being able to be increased and tracking of the object can be performed with higher accuracy.

  In this case, when the setting unit determines that the stability of the position information acquired by the acquiring unit exceeds the first threshold, the setting unit sets the reference position information based on the position information of the center of the object, and the acquiring unit When it is determined that the stability of the position information acquired by the step is less than or equal to the first threshold, the reference position information is set based on the position information of the end close to the acquisition means among the position information of the left and right ends of the object Is preferred.

  According to this configuration, when the setting unit determines that the stability of the position information acquired by the acquiring unit exceeds the first threshold value, the setting unit sets the reference position information based on the position information of the center of the object. . If the position information acquired by the acquisition means is relatively stable, setting reference position information based on the position information of the center of the object is more robust against noise. Therefore, in such a case, by setting the reference position information based on the position information of the center of the object, it is possible to reliably determine whether or not they are the same object and perform tracking of the object with higher accuracy. . On the other hand, according to this configuration, when the setting unit determines that the stability of the position information acquired by the acquiring unit is equal to or less than the first threshold value, the setting unit is close to the acquiring unit in the position information of the left and right ends of the object. The reference position information is set based on the end position information. As described above, even if the position information acquired by the acquisition unit is not stable, the position information of the end close to the acquisition unit among the left and right ends of the object is relatively stable. For this reason, in such a case, the reference position information is set based on the position information of the end close to the acquisition means among the left and right ends of the object, thereby reliably determining whether or not they are the same object. Can be performed with higher accuracy.

  In this case, the setting unit calculates the size of the object based on the position information acquired by the acquisition unit, and when the calculated variation in the size of the object is equal to or larger than the second threshold, the position information is stabilized. It can be determined that the degree is equal to or less than the first threshold.

  When the calculated degree of variation in the size of the object is relatively large, the stability of the position information is often low, so the setting means determines the size of the object based on the position information acquired by the acquisition means. When the calculated variation in the size of the object is equal to or greater than the second threshold, it is determined which of the position information of the object is determined by determining that the stability of the position information is equal to or less than the first threshold. It is possible to appropriately determine whether or not the position information of the place should be emphasized.

  Alternatively, in this case, the setting unit calculates a positional relationship between the object and the acquiring unit based on the positional information acquired by the acquiring unit, and the stability of the positional information is equal to or less than the first threshold value based on the calculated positional relationship. It can be determined whether or not.

  Since the stability of the position information varies depending on the relative positional relationship between the object and the acquisition unit, the positional relationship between the object and the acquisition unit is determined based on the position information acquired by the acquisition unit as in the above configuration. Which position information should be emphasized in the position information of the object by determining whether or not the stability of the position information is less than or equal to the first threshold based on the calculated positional relationship Can be determined appropriately.

  According to the object detection device of the present invention, it is possible to more reliably determine whether or not they are the same object, and to perform tracking of the object with higher accuracy.

  Hereinafter, an object detection device according to an embodiment of the present invention will be described with reference to the accompanying drawings.

  FIG. 1 is a diagram illustrating a configuration of a cruise control system (hereinafter referred to as an ACC (Adaptive Cruise Control) system) as an example in which the object detection device according to the first embodiment is applied to a travel support device.

  The ACC system 1a mainly includes a millimeter wave sensor 10, a stereo camera 11, a vehicle speed sensor 13, sensors of a yaw rate sensor 14 and a steering angle sensor 15, a target tracking unit 20, a preceding vehicle recognition ECU 30, and a travel control unit 40. It is configured. When the preceding vehicle is not recognized, the ACC system 1a performs constant speed control that maintains the vehicle speed set by the driver. When the preceding vehicle is recognized, the ACC system 1a performs tracking control that maintains a set inter-vehicle distance with respect to the preceding vehicle. Slow acceleration / slow deceleration control is performed.

  The millimeter wave sensor 10 irradiates the front of the vehicle while scanning a millimeter wave band radio wave in the horizontal direction, receives the radio wave reflected on the surface of the object such as the vehicle ahead, and takes precedence from the radio wave intensity and the frequency change of the received signal. Parameters such as the presence / absence of the vehicle candidate, the distance between the preceding vehicle candidate and the host vehicle, the relative speed, and the lateral displacement (lateral position) from the host vehicle are obtained and output to the preceding vehicle recognition ECU 30 as a detection result.

  The stereo camera 11 has a pair of CCD cameras that acquire an image ahead of the vehicle, and an image processing unit that detects an object such as a preceding vehicle from the acquired image by image recognition. In this image processing unit, position information of a plurality of locations of an object to be detected is acquired from an image captured by the CCD camera by edge extraction or pattern recognition processing. In addition, the triangulation method is used to determine the distance from the preceding vehicle and the lateral displacement from the host vehicle based on the difference in the position of the object (preceding vehicle) in the left and right acquired images, and the amount of change with respect to the distance obtained during the previous frame Find the relative speed from The detection result is output to the target tracking unit 20. That is, the stereo camera 11 functions as an acquisition unit described in the claims.

  The vehicle is also provided with a vehicle speed sensor 13 for detecting the vehicle speed, a yaw rate sensor 14 for detecting the yaw rate of the vehicle, a steering angle sensor 15 for detecting the steering angle of the steering wheel, and the like. Each sensor is connected to the preceding vehicle recognition ECU 30, and the detected signal is input to the preceding vehicle recognition ECU 30.

  The target tracking unit 20 is stored by a microprocessor that performs calculations, a ROM that stores a program for causing the microprocessor to execute each process, a RAM that stores various data such as calculation results, and a 12V battery. A backup RAM or the like. The target tracking unit 20 performs tracking of an object based on the position information of the object that is the detection target acquired by the stereo camera 11, and includes a width variation history counter 21, a tracking reference determination unit 22, and a tracking processing unit 23. Have.

  The width fluctuation history counter 21 counts the fluctuation history of the width of the image target such as the preceding vehicle detected by the stereo camera 11. The width fluctuation history counter 21 increments (increases) the count number when the fluctuation of the width of the image target is equal to or larger than an arbitrary threshold value X [m], and the fluctuation of the width of the image target is X [m ], The count is decremented (decreased).

  The tracking reference determination unit 22 determines which position information is to be used as the tracking reference position among the position information at a plurality of positions of the object detected by the stereo camera 11 according to the count number of the width variation history counter 21. To do. That is, the tracking reference determination unit 22 functions as setting means described in the claims.

  The tracking processing unit 23 compares the tracking reference positions determined at different times by the tracking reference determination unit 22 to determine whether or not the objects related to the tracking reference position are the same object, and performs the tracking process. Do. That is, the tracking processing unit 23 functions as the same determination means described in the claims.

  The preceding vehicle recognition ECU 30 also holds the stored contents by a microprocessor that performs calculations, a ROM that stores a program for causing the microprocessor to execute each process, a RAM that stores various data such as calculation results, and a 12V battery. The vehicle includes a backup RAM and the like, and has a preceding vehicle selection unit 31 and an interrupted vehicle determination unit 32.

  The preceding vehicle selection unit 31 determines the course of the host vehicle from the traveling state of the host vehicle obtained based on the vehicle speed signal from the vehicle speed sensor 13, the yaw rate signal from the yaw rate sensor 14, the steering angle signal from the steering angle sensor 15, and the like. When the estimation result is compared with the position of another vehicle that is a preceding vehicle candidate tracked by the target tracking unit 20 and it is determined that the preceding vehicle candidate is present ahead of the course of the host vehicle. The preceding vehicle candidate is recognized as a preceding vehicle. Note that white line information detected by the stereo camera 11 may be used when estimating the course of the host vehicle.

  The interrupting vehicle determination unit 32 includes a traveling state of another vehicle that is tracked by the target tracking unit 20 from the millimeter wave sensor 10 and the stereo camera 11, and a traveling state of the host vehicle that is acquired by the accelerator pedal 12, the vehicle speed sensor 13, and the like. And, based on the information about the preceding vehicle from the preceding vehicle selection unit 31, whether or not the other vehicle is an interrupting vehicle, and the lateral position, distance, and lateral direction of the other vehicle with respect to the own vehicle It is determined whether the other vehicle is an interrupted vehicle using speed or the like.

  The traveling control unit 40 also holds its storage contents by a microprocessor that performs calculations, a ROM that stores programs for causing the microprocessor to execute each process, a RAM that stores various data such as calculation results, and a 12V battery. It is composed of a backup RAM or the like. It should be noted that the target tracking unit, the preceding vehicle recognition ECU 30 and the travel control unit 40 may be configured to be integrated or share a part in hardware. The travel control ECU 40 is connected to a brake actuator that controls the hydraulic pressure supplied to a wheel cylinder that operates a brake attached to each wheel, an electronically controlled throttle valve that controls the amount of air supplied to the engine, and the like. . The traveling control unit 40 controls the brake actuator, the electronically controlled throttle valve, and the like based on the presence / absence of the preceding vehicle, the object parameter of the preceding vehicle, and the object type information input from the preceding vehicle recognition ECU 30, Constant speed control, follow-up control, and slow acceleration / slow deceleration control are executed by adjusting the driving force and braking force applied to the vehicle.

  Next, the operation of the ACC system 1a will be described with reference to FIG. FIG. 2 is a flowchart showing a processing procedure of driving support control by the ACC system 1a. This control is repeatedly executed at a predetermined timing by the target tracking unit 20, the preceding vehicle recognition ECU 30, and the travel control unit 40 from when the vehicle power is turned on to when it is turned off.

  In step S100, parameters such as the presence / absence of the object, the distance between the object and the host vehicle, the relative speed, and the lateral displacement from the host vehicle are read from the stereo camera 11, and the target data is obtained from the image information of the stereo camera 11. Read.

  In subsequent step S102, the width fluctuation history counter 21 of the target tracking unit 20 determines whether or not the fluctuation of the width of the image target is equal to or greater than an arbitrary threshold value X [m]. If the variation in the width of the image target is equal to or greater than an arbitrary threshold value X [m], the width variation history counter 21 proceeds to step S104 and increments the count number. On the other hand, if the variation in the width of the image target is less than an arbitrary threshold value X [m], the width variation history counter 21 proceeds to step S106 and decrements the count. Through the processes in steps S102 to S106 described above, the stability of the position information of the object that is the detection target can be detected.

  In step S108, the tracking reference determination unit 22 refers to the count number of the width variation history counter 21, and when the count number of the width variation history counter 21 is equal to or greater than an arbitrary threshold value Y times, the position information of the object is stabilized. Considering that the degree is low, the process proceeds to step S112.

  When the target is detected by the stereo camera 11, the distance is calculated based on the parallax between the two eyes of the camera, and the horizontal size (lateral position, width, etc.) is calculated using the edge. However, as shown in FIGS. 3A-1 to 3A-2, when detecting the other vehicle 200 that enters the lane of the host vehicle 100, the side edge of the vehicle is not stable. When the tracking reference position T is set at the center of the detection region R because the width of the detection region R is not stable, the tracking reference position T is often not stable. That is, although the edge of the other vehicle 200 close to the own vehicle 100 is easy to detect an edge, the end of the other vehicle 200 far from the own vehicle 100 is difficult to detect the edge, and is often outside the detection range of the stereo camera 11. Therefore, there is a case where the edge of the door of the other vehicle 200 is taken near the end of the other vehicle 200 far from the host vehicle 100, and the width of the detection region R becomes narrower or wider. The tracking reference position T at the center of is unstable.

  Normally, the target position and speed (distance, lateral position, relative speed, lateral speed) are used for tracking when judging the target as the same object, so when the center position of the target is not stable There are many cases where stable tracking is not possible. A target history that has been determined to be the same object for a certain period of time in order to eliminate false control and false alarms when it is judged as an interrupting vehicle and an alarm such as control or alerting is issued to that vehicle. Use some data. For this reason, even if the target is actually the same, if the tracking is not stable, uncontrollable and non-alarming occurs for the interrupting vehicle. If tracking cannot be performed stably, the relative position calculated from the distance and the lateral velocity calculated from the center position of the lateral position are not accurately calculated, and erroneous control and false alarm are likely to occur.

  Therefore, in the present embodiment, using the fact that the edge of the other vehicle 200 near the host vehicle 100 is easy to capture, as shown in FIGS. 3 (b-1) to (b-2), the other vehicle 200 When the vehicle is on the right side of the host vehicle 100, the left end position of the detection region R is set as the tracking reference position T. Conversely, when the other vehicle 200 is on the left side of the host vehicle 100, the right end position in the detection region R is set as the tracking reference position T. By setting the tracking reference position T in this way, the tracking reference position T is stable even if the width of the detection region R changes. Therefore, even when the width of the detection region R is unstable, stable tracking is performed. It can be carried out. Further, the lateral velocity is calculated not by the center position of the target but by differentiating the difference at the lateral end, so that a more accurate value can be calculated.

  Returning to FIG. 2, in step S112, the tracking reference determination unit 22 determines whether or not a target such as an interrupting vehicle is on the right side of the own vehicle. When the target is on the right side of the host vehicle, the process proceeds to step S116, and the left end of the target is used as the tracking reference position. On the other hand, when the target is on the left side of the host vehicle, the process proceeds to step S118, and the right end of the target is used as the tracking reference position.

  In step S108, even if the count number of the width variation history counter 21 is less than Y, which is an arbitrary threshold value, the tracking reference determination unit 22 determines that the count number of the width variation history counter 21 is the subsequent step S110. If the threshold is equal to or greater than Z times (Y> Z) and the left or right lateral edge is used as the tracking reference position in the previous frame, the process proceeds to step S112 again, and either the left or right side of the target is Set the end to the tracking reference position. That is, by referring to the history of determining the tracking reference position so far, it is possible to prevent the end of the target from being easily set as the tracking reference position when the stability of the position information is low. .

  On the other hand, when the count value of the width fluctuation history counter 21 is equal to or greater than Z which is an arbitrary threshold (Y> Z), and does not correspond to the case where either the left or right lateral end is used as the tracking reference position in the previous frame. The tracking reference determination unit 22 considers that the stability of the position information of the object is high, and proceeds to step S114.

  During the follow-up traveling of another vehicle such as a preceding vehicle, stable tracking may not be possible if the end of the other vehicle close to the host vehicle is always set as the tracking reference position. That is, as shown in FIGS. 4A to 4C, at the rear end of the other vehicle 200, an edge E such as a lamp that is not at the end of the vehicle is detected, and the width of the detection region R changes. This is because there are many. This tendency is particularly noticeable when the other vehicle 200 is a carrier car, a truck, or the like. Unlike the case where the side of the interrupting vehicle is captured, the rear end of such a preceding vehicle or the like following the side of the interrupting vehicle cannot be predicted as to whether the width of the detection region R is narrowed to the left or right. In many cases, tracking is more stable when the center of the detection region R is used as the tracking reference position than when using. Therefore, as shown in FIG. 2, the tracking reference determination unit 22 uses the center position of the detection region R for tracking when the stability of the position information of the object is high in step S114.

  In step S120, the tracking processing unit 23 of the target tracking unit 20 performs target tracking processing using the tracking reference position determined by the tracking reference determining unit 22.

  According to the present embodiment, the tracking reference determination unit 22 uses the tracking reference position serving as a reference for determining the identity of the object based on the position information of the end close to the stereo camera 11 among the position information of the left and right ends of the object. Set. Since the position information of the end near the stereo camera 11 among the left and right ends of the object is relatively stable, even if the width of the detected object is not stable, it is reliably determined whether or not they are the same object The possibility of being able to be increased is increased, and object tracking can be performed with higher accuracy.

  Further, according to the present embodiment, when the tracking reference determination unit 22 determines that the stability of the position information acquired by the stereo camera 11 exceeds an arbitrary threshold value, the tracking reference determination unit 22 is based on the position information of the center of the object. To set the tracking reference position. When the position information acquired by the stereo camera 11 is relatively stable, setting the tracking reference position based on the position information of the center of the object is more robust against noise. For this reason, in such a case, by setting the tracking reference position based on the position information of the center of the object, it is possible to reliably determine whether or not they are the same object and perform tracking of the object with higher accuracy. .

  On the other hand, according to the present embodiment, when the tracking reference determination unit 22 determines that the stability of the position information acquired by the stereo camera 11 is equal to or less than an arbitrary threshold value, The tracking reference position is set based on the position information of the end close to the stereo camera 11. As described above, even when the position information acquired by the stereo camera 11 is not relatively stable, the position information of the end near the stereo camera 11 among the left and right ends of the object is relatively stable. ing. For this reason, in such a case, the tracking reference position is set based on the position information of the end close to the stereo camera 11 among the left and right ends of the object, thereby reliably determining whether or not they are the same object. Tracking can be performed with higher accuracy.

  In particular, if the image of a preceding vehicle or the like can be tracked stably, the accuracy of the fusion between the millimeter wave sensor 10 and the stereo camera 11 is improved, and when the preceding vehicle is selected, the preceding vehicle can be selected with higher accuracy. is there. Therefore, in the present embodiment, in order to change the tracking reference position to the center position and the lateral position of the object, the tracking reference position is determined using the count number of the width variation history counter 21. When detecting the side of an object, the fluctuation of the width of the detection area tends to be large, so when the width fluctuation history is small, the center position of the object is taken as the tracking reference position, and when the width fluctuation history is large, The tracking method is changed so that the position information of the end close to the stereo camera 11 among the position information of the left and right ends is taken as the tracking reference position. Thereby, it becomes possible to perform the selection of the preceding vehicle and the determination of the interrupted vehicle with higher accuracy. In particular, the stereo camera 11 has an aspect that it is easier to catch the side surface of the interrupting vehicle and that the detection angle is easily widened than a sensor such as a millimeter wave radar (laser radar). It is effective for.

  Hereinafter, a second embodiment of the present invention will be described. FIG. 5 is a block diagram showing a configuration of an ACC system according to the second embodiment. As shown in FIG. 5, in the present embodiment, the target tracking unit 20 includes a relative position detection unit 24 instead of the width variation history counter 21. The relative position detector 24 detects the relative position between the preceding vehicle and the vehicle detected by the stereo camera 11 and estimates the stability of the position information from the relative position. The relative position detection unit 24 considers that the position information is stable when the angle of the object center from the vehicle center line is within X ° (the stability of the position information exceeds the first threshold). When the angle of the object center from the vehicle center line exceeds X °, the position information is regarded as unstable (the stability of the position information is not more than the first threshold).

FIG. 6 is a flowchart showing a processing procedure of driving support control by the ACC system according to the second embodiment. As shown in FIG. 6, in this embodiment, in step S202, the relative position detection unit 24 of the target tracking unit 20 determines whether or not the angle of the object center from the vehicle center line is within X °. In this case, for example, as shown in FIG. 7, a plurality of areas A ₁ and A ₂ are provided by an angle θ [deg] with respect to the center line of the host vehicle 100, and the angle of the host vehicle 100 with respect to the stereo camera 11 is for other vehicle 200 existing in the region a ₁ is X ° or less, to evaluate the high stability of the position information. That is, for an object whose lateral displacement is small, the entire object can be easily detected, and the stability of the position information is high. On the other hand, for the other vehicle 300 angle in a lateral direction with respect to the stereo camera 11 of vehicle 100 is present in the area A ₂ that is greater than X °, is evaluated to be less stable in the position information. This is because it is difficult to detect the entire object for an object having a large lateral displacement, and the stability of the position information is low. Thus, in the present embodiment, the stability of the position information is estimated according to the relative position with respect to the host vehicle 100. More regions may be set as appropriate according to the situation.

  Returning to FIG. 6, steps S212 to S220 can be performed in the same manner as steps S112 to S120 of the first embodiment. In the present embodiment, by changing the tracking reference position according to the relative position of the preceding vehicle and the own vehicle, it is possible to perform the selection of the preceding vehicle and the determination of the interrupted vehicle with higher accuracy.

  Although the embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made. In the present embodiment, the travel support device according to the ACC system is described as an example of the object detection device, but the application field of the object detection device of the present invention is not limited to this.

  Moreover, in the said embodiment, although the stereo camera was used for the tracking of the target, a monocular camera can also be used. In addition, a millimeter wave radar may be used for tracking a target and can be applied to any detection means. Further, in the above embodiment, the edge of the object is set as the tracking reference position when the stability of the position information of the object acquired by the acquisition unit is low. However, a position other than the edge of the object can be set as the tracking reference position. By setting the tracking reference position with a weighted average of a plurality of pieces of position information of the object acquired by the acquisition means and increasing the weighting ratio of the position information close to the acquisition means, the position information closer to the acquisition means is emphasized while tracking. A reference position may be set, and is included in the scope of the present invention.

It is a block diagram which shows the structure of the ACC system which concerns on 1st Embodiment. It is a flowchart which shows the process sequence of the driving assistance control by the ACC system which concerns on 1st Embodiment. (A-1)-(b-2) is a figure which shows the difference in the stability of tracking by a tracking reference position. (A)-(c) is a figure which shows the fluctuation | variation of an edge detection position. It is a block diagram which shows the structure of the ACC system which concerns on 2nd Embodiment. It is a flowchart which shows the process sequence of the driving assistance control by the ACC system which concerns on 2nd Embodiment. It is a figure which shows the relationship between the positional relationship of the other vehicle and the own vehicle in 2nd Embodiment, and the stability of positional information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1a, 1b ... ACC system, 10 ... Millimeter wave sensor, 11 ... Stereo camera, 13 ... Vehicle speed sensor, 14 ... Yaw rate sensor, 15 ... Steering angle sensor, 20 ... Target tracking part, 21 ... Width fluctuation history counter, 22 ... Tracking reference determination unit, 23 ... tracking processing unit, 24 ... relative position detection unit, 30 ... preceding vehicle recognition ECU, 31 ... preceding vehicle selection unit, 32 ... interrupt vehicle determination unit 32, 40 ... travel control unit, 100 ... own vehicle , 200, 300 ... other vehicles.

Claims (5)

Acquisition means for acquiring position information of a plurality of locations of an object to be detected;
Setting means for setting reference position information based on position information of a plurality of locations of the object acquired by the acquisition means;
The same determination means for comparing the reference position information set at different times by the setting means and determining whether or not the objects related to the reference position information are the same object;
In an object detection apparatus comprising:
The setting means sets the reference position information while placing importance on the position information closer to the acquisition means among the position information of the object.
Object detection device. The setting means sets reference position information based on position information of an end close to the acquisition means among position information of left and right ends of the object.
The object detection apparatus according to claim 1. The setting means includes
When it is determined that the stability of the position information acquired by the acquisition unit exceeds the first threshold, the reference position information is set based on the position information of the center of the object,
When it is determined that the stability of the position information acquired by the acquisition unit is equal to or less than the first threshold value, the reference position information is obtained based on the position information of the end close to the acquisition unit among the left and right ends of the object. Set,
The object detection apparatus according to claim 2. The setting means includes
The size of the object is calculated based on the position information acquired by the acquisition means, and when the degree of variation in the calculated size of the object is greater than or equal to a second threshold, the stability of the position information is It is determined that it is equal to or less than the first threshold.
The object detection apparatus according to claim 3. The setting means includes
The positional relationship between the object and the acquisition unit is calculated based on the positional information acquired by the acquisition unit, and whether the stability of the positional information is equal to or less than the first threshold value based on the calculated positional relationship. To determine,
The object detection apparatus according to claim 3.

Images