CN110260815B - Moving vehicle judgment method and system based on fuzzy algorithm - Google Patents
Moving vehicle judgment method and system based on fuzzy algorithm Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
- B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
- B60Q1/14—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
- B60Q1/1415—Dimming circuits
- B60Q1/1423—Automatic dimming circuits, i.e. switching between high beam and low beam due to change of ambient light or light level in road traffic
- B60Q1/143—Automatic dimming circuits, i.e. switching between high beam and low beam due to change of ambient light or light level in road traffic combined with another condition, e.g. using vehicle recognition from camera images or activation of wipers
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- G—PHYSICS
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
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- G01P3/36—Devices characterised by the use of optical means, e.g. using infrared, visible, or ultraviolet light
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q2300/00—Indexing codes for automatically adjustable headlamps or automatically dimmable headlamps
- B60Q2300/40—Indexing codes relating to other road users or special conditions
- B60Q2300/41—Indexing codes relating to other road users or special conditions preceding vehicle
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Abstract
The embodiment of the invention discloses a moving vehicle judgment method and a moving vehicle judgment system based on a fuzzy algorithm.A group of infrared ranging lasers are arranged at the tail of a vehicle, and the road width is measured by the lasers emitted on a vertical plane; secondly, arranging a second group of infrared ranging lasers above the engine cover of the locomotive, horizontally emitting laser beams towards the front of the vehicle for front target ranging, and combining a first group of laser devices to realize definition of a front target detection range; then, a front target contour detection algorithm is designed based on the fuzzy recognition principle, and automatic recognition of the front target (namely vehicle/non-vehicle, moving vehicle/static vehicle) is realized according to the relative displacement of the front target and the second group of laser beams of the test vehicle.
Description
Technical Field
The embodiment of the invention relates to the technical field of vehicle safe driving, in particular to a moving vehicle judgment method and system based on a fuzzy algorithm.
Background
In recent years, people-oriented traffic has become a trend of traffic development because transportation facilities should meet the requirements of personal safety in addition to maneuverability and feasibility. The high beam is a lighting device for automobile, which emits light rays in parallel, and is concentrated and has high brightness. When the driver drives at night at a high speed, in a suburb or on a road section with poor lighting conditions, the driver usually turns on the high beam for a long time in order to bring better sight and safer psychological feelings to the driver. However, if the high beam is turned on at will under an unsuitable condition, drivers or pedestrians who face the vehicle will be blinded instantly, so that the ability of the drivers or pedestrians to observe the surrounding environment is reduced, and the road conditions cannot be seen clearly.
The regulations of the road traffic safety law in China stipulate that a high beam lamp and a low beam lamp are switched off when vehicles meet at night and are 150m away from an opposite coming vehicle. However, abusing high beam is often the first in Chinese style driving bad habit. According to the statistics of traffic departments, about 3 accidents are related to abuse of high beam lights and are in a rising trend in the driving accidents at night every year.
At present, the front vehicle detection is carried out by utilizing a light sensor in China. As shown in fig. 1, the rear-view mirror of the vehicle a is equipped with an optical sensor, and the optical sensor can detect the intensity of light from the vehicle B, and then determine whether the vehicle B will meet the vehicle within a certain distance. If yes, the vehicle A starts the voice prompt and automatically switches the high beam into the dipped headlight. However, the photoresistor is easily interfered by an external light source, and if an opposite vehicle does not start the vehicle lamp or the brightness of the vehicle lamp is low due to reasons, the opposite vehicle is difficult to be timely and accurately found out beyond a safe distance, automatic conversion of far and near lamps cannot be accurately realized, and the actual use effect is not ideal. There is also a method of mounting a laser transmitter and receiver at the roof end. This method requires that each vehicle be equipped with a laser transmitter and receiver as shown in fig. 2. The vehicle B detects the laser signal emitted by the vehicle A and feeds the laser signal back to the control circuit, and the control circuit completes the conversion of the high beam and the low beam. Because the technology needs both vehicles to be provided with the signal transmitting and receiving devices, if the vehicle is not provided with the device, the device cannot be detected by other vehicles, and a detection hole is formed. And the system can not determine a proper laser emission range for the lane where the vehicle is located, so that light source waste or insufficient detection range is easily caused.
Some automotive companies have also tested automatic supplementary control systems for high beam. The existing infrared night vision system can clearly see the radiation heat energy object within 150-300m in front by imaging by using the thermal contrast generated by the difference of temperature or emissivity between the target object and the surrounding environment. However, the infrared night vision system can only be used as far-beam assistance, cannot completely solve the problem of far-beam hazard, is expensive and has no popularization. In addition, an intelligent dimming automobile headlamp is developed, which senses a front light source by using a sensing device, automatically reduces the illuminance of the headlamp when a vehicle comes from head on, and restores the strong light when the vehicle is not in a meeting. However, when the traffic flow in front is suddenly increased, the illuminance of the vehicle is immediately reduced during the turning, and the cost is still high. In the prior art, only the detection in front of the vehicle is considered, and the detection of lanes on two sides of the current vehicle is not involved, so that a proper laser emission range cannot be determined for the lane where the vehicle is located, and the waste of a light source or the insufficient detection range is easily caused.
Disclosure of Invention
Therefore, the embodiment of the invention provides a moving vehicle judgment method and a moving vehicle judgment system based on a fuzzy algorithm, which are used for depicting the outline of a target object by using edge rays in a target light array and finally judging whether the target object is a vehicle or not.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to a first aspect of embodiments of the present invention, there is provided a moving vehicle determination method based on a fuzzy algorithm, including:
determining the detection range of the vehicle head based on the lane widths of the two sides of the current vehicle and a preset detection angle;
emitting a target optical array in the detection range, and acquiring a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance and does not hit the side surface of a target object in a light ray cluster of the target optical array;
and describing the contour of the target object based on the critical light beam, and judging whether the target object is a moving vehicle or not based on the contour of the target object and the states of the target object at different moments.
Further, the detection range of the vehicle head is determined based on the lane width of the two sides of the current vehicle and the preset detection angle, and the method specifically comprises the following steps:
and setting a detection range on a lane in front of the current vehicle by taking the lane widths at two sides of the current vehicle as boundaries based on the preset infrared ray length and the preset detection angle.
Further, emitting the target optical array in the detection range specifically includes:
emitting a plurality of target light rays with equal included angles in the detection range to form a target light array; the radiation distance of each target ray is 150-250 m, and the radiation width is 10-18 m; the emission period of the target optical array is 30-60 ms.
Further, acquiring the critical light beam in the target optical array specifically includes:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
Further, determining whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different times specifically includes:
and judging whether the target object is a vehicle or not based on the contour of the target object, and if so, judging whether the vehicle is a moving vehicle or not based on the distance measured by the critical light beams at different moments and the running speed of the current vehicle.
According to a second aspect of the embodiments of the present invention, there is provided a moving vehicle determination system based on a fuzzy algorithm, including:
the first module is used for determining the detection range of the vehicle head based on the lane width of the two sides of the current vehicle and a preset detection angle;
the second module is used for transmitting the target optical array in the detection range and acquiring a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance and does not hit the side face of a target object in a light ray cluster of the target optical array;
and the third module is used for depicting the contour of the target object based on the critical light beam and judging whether the target object is a moving vehicle or not based on the contour of the target object and the states of the target object at different moments.
Further, the second module is specifically configured to:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
According to a third aspect of embodiments of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to embodiments of the first aspect of the present invention when executing the program.
According to a fourth aspect of embodiments of the present invention, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described in embodiments of the first aspect of the present invention.
The embodiment of the invention provides a moving vehicle judgment method and system based on a fuzzy algorithm, wherein a group of infrared ranging lasers are arranged at the tail of a vehicle, and the road width is measured through the lasers emitted on a vertical plane; secondly, arranging a second group of infrared ranging lasers above the engine cover of the locomotive, horizontally emitting laser beams towards the front of the vehicle for front target ranging, and combining a first group of laser devices to realize definition of a front target detection range; then, a front target contour detection algorithm is designed based on the fuzzy recognition principle, and automatic recognition of the front target (namely vehicle/non-vehicle, moving vehicle/static vehicle) is realized according to the relative displacement of the front target and the second group of laser beams of the test vehicle.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a schematic control diagram of an automatic switching device for headlamps in the prior art;
FIG. 2 is a schematic diagram of an intelligent switching system for distance light and near light in the prior art;
FIG. 3 is a schematic diagram of a method for determining a moving vehicle based on a fuzzy algorithm according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a road edge light array according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of active prevention control of high beam in an embodiment of the present invention;
FIG. 6 is a schematic view of a road edge laser monitoring plane according to an embodiment of the present invention;
FIG. 7 is a schematic view of a road edge laser monitoring plane parameter according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of the detection range of the target optical array according to the embodiment of the present invention;
FIG. 9 is a schematic diagram illustrating changes in motion of an object at different times according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of an oncoming vehicle traveling in a target light array in accordance with an embodiment of the present invention;
fig. 11 is a schematic diagram of a control scheme of active prevention control of a high beam based on infrared sensing according to an embodiment of the present invention;
fig. 12 is a schematic physical structure diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the front vehicle detection is carried out by utilizing a light sensor in China. As shown in fig. 1, the rear-view mirror of the vehicle a is equipped with an optical sensor, and the optical sensor can detect the intensity of light from the vehicle B, and then determine whether the vehicle B will meet the vehicle within a certain distance. If yes, the vehicle A starts the voice prompt and automatically switches the high beam into the dipped headlight. However, the photoresistor is easily interfered by an external light source, and if an opposite vehicle does not start the vehicle lamp or the brightness of the vehicle lamp is low due to reasons, the opposite vehicle is difficult to be timely and accurately found out beyond a safe distance, automatic conversion of far and near lamps cannot be accurately realized, and the actual use effect is not ideal. There is also a method of mounting a laser transmitter and receiver at the roof end. This method requires that each vehicle be equipped with a laser transmitter and receiver as shown in fig. 2. The vehicle B detects the laser signal emitted by the vehicle A and feeds the laser signal back to the control circuit, and the control circuit completes the conversion of the high beam and the low beam. Because the technology needs both vehicles to be provided with the signal transmitting and receiving devices, if the vehicle is not provided with the device, the device cannot be detected by other vehicles, and a detection hole is formed. And the system can not determine a proper laser emission range for the lane where the vehicle is located, so that light source waste or insufficient detection range is easily caused.
Therefore, the embodiment of the invention realizes the road width measurement by arranging a group of infrared ranging lasers at the tail of the vehicle and emitting the lasers on the vertical plane. The following description and description will proceed with reference being made to various embodiments.
First, an embodiment of the present invention provides an active prevention and control method for a high beam based on infrared sensing, including:
s1, obtaining lane widths of two sides of the vehicle in the current vehicle driving process, and determining the detection range of the vehicle head based on the lane widths of the two sides of the current vehicle and a preset detection angle;
and S2, emitting a target light array in the detection range, acquiring the outline and the state of each target object in the detection range based on the marginal light of the target light array, and controlling the current vehicle to be switched to a dipped headlight if the target object is judged to be a moving vehicle.
In the embodiment, a set of infrared ranging lasers are arranged at the tail of the vehicle, and the road width is measured through the lasers emitted on a vertical plane; secondly, arranging a second group of infrared ranging lasers above the engine cover of the locomotive to emit and form a target optical array, horizontally emitting laser beams towards the front of the vehicle to carry out front target ranging, and combining a first group of laser devices to realize the definition of a front target detection range; then, a front target contour detection algorithm is designed based on a fuzzy recognition principle, and automatic recognition of the front target (namely vehicle/non-vehicle, moving vehicle/static vehicle) is realized according to the relative displacement of the front target and a second group of laser beams of the test vehicle; and finally, carrying out night meeting safety assessment according to the motion state of the front vehicle and the relative distance between the front vehicle and the test vehicle, and realizing active prevention control of the high beam of the test vehicle.
To achieve the above object, an embodiment of the present invention first provides a road width detection method based on a road edge optical array, as shown in fig. 3, including:
s01, emitting road edge light arrays to the two sides of the vehicle so as to detect the road based on the light rays in the road edge light arrays; if the height difference exists between the road surfaces detected by the two adjacent light rays, the road is judged to be detected by the light ray with the large vertical deflection angle in the two adjacent light rays, and the road is detected by the light ray with the small vertical deflection angle;
and S02, acquiring the road width based on the deflection angle and the single lane width of each light ray in the road edge light array.
Due to the height difference between the sidewalk and the lane, the light rays in the road edge light array are emitted to the pedestrian path and the lane to produce different effects. Based on the characteristics, the light deflection angle of the road edge light array is set according to the lane width, the number of adjacent lanes is calculated by utilizing the geometric relation according to the light measured by the infrared equipment, and the road width of the two sides of the vehicle is obtained through calculation so as to determine the detection range of the vehicle head target light array. As shown in fig. 4, O is that the light source emits laser beams to the left and right to form an optical road edge array, and the plane of the laser array is a vertical plane.
On the basis of the above embodiments, as a preferred implementation, the method for emitting the road edge light arrays to both sides of the vehicle specifically includes:
and emitting road edge light arrays perpendicular to a running road surface to two sides of the vehicle along the direction perpendicular to the running direction of the vehicle during the running of the vehicle.
On the basis of the above embodiments, as a preferred implementation manner, in the road edge light array, the distance between every two adjacent light rays projected on the horizontal road surface is equal.
On the basis of the above embodiments, as a preferred implementation manner, in the road edge matrix, the distance of every two adjacent light rays projected on the horizontal road surface is the same as the width of a single lane.
On the basis of the foregoing embodiments, as a preferred implementation manner, in the road edge optical array, the deflection angle in the vertical direction of the nth light ray on both sides of the light ray in the vertical direction is:
wherein, L is the width of a single lane, and H is the vertical height from the light emitting point to the road surface.
Further, the method for obtaining the road width based on the deflection angle and the single lane width of each light ray in the road edge light array specifically comprises the following steps:
and judging the number of lanes on one side of the vehicle based on the deflection angle of each light ray in the road edge light array, and acquiring the width of the road on one side of the vehicle based on the number of lanes and the width of a single lane.
On the basis of the foregoing embodiments, the present embodiment further provides a moving vehicle determination method based on a fuzzy algorithm, including:
s201, determining a detection range of a vehicle head based on lane widths of two sides of a current vehicle and a preset detection angle;
s202, emitting a target optical array in the detection range, and obtaining a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance in a light ray cluster of the target optical array and does not hit the side face of a target object;
s203, depicting the contour of the target object based on the critical light beam, and judging whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different moments.
The method comprises the steps of blurring a vehicle in a target optical array into a point which has a vehicle profile and continuously moves along with a measuring period, wherein part of light rays in the optical array are shielded along with the movement of the vehicle in the optical array and have a certain rule. To determine whether the target is a vehicle, the light ray that has the smallest laser measurement distance in the target light ray cluster and does not hit the side of the target is defined as an edge light ray. And (4) utilizing the edge light in the target light array to depict the outline of the target object, and finally judging whether the target object is a vehicle. If the vehicle is the high beam, the system judges that the high beam is switched to the low beam.
As shown in fig. 5, when the oncoming vehicle B1Or vehicles B in the same direction2When the vehicle enters an infrared light array (target light array) emitted by a middle light source O of the head of the current vehicle A, the system judges that B is within the range of 150 plus 250 meters1Or B2Whether it is a vehicle. If the vehicle is a vehicle, the current vehicle a can remind the driver to switch to the dipped headlight or autonomously switch to the dipped headlight.
On the basis of the above embodiment, acquiring lane widths of both sides of the vehicle in the current vehicle driving process specifically includes:
arranging an infrared sensor behind a current vehicle, transmitting road edge light arrays to two sides of the current vehicle based on the infrared sensor, and acquiring lane boundaries of two sides of the current vehicle based on the height difference between a sidewalk and a lane so as to obtain the lane widths of two sides of the current vehicle; the laser array plane in the road edge optical array is a vertical plane.
In this embodiment, since there is a height difference between the sidewalk and the lane, in order to detect the number of adjacent lanes on both sides of the vehicle and determine the monitoring range, 4 beams of laser are respectively set in the middle of the tail end of the vehicle to form a road edge light array to determine the number of adjacent lanes of the vehicle.
The light rays in the road edge light array are emitted from the light source points at the tail end of the vehicle, and can be a plurality of light rays, and in the embodiment, are 4 light rays. Due to the height difference between the sidewalk and the lane, the laser is different from the laser which is applied to the lane. Under the condition that the vertical deviation angle of the light is fixed, the number of the adjacent lanes can be estimated through the actually measured data of the laser and the geometric relationship.
As shown in FIG. 6, the point O is the starting point of the emission of the optical array along the road, S1、S2、S3、S4Four rays are emitted for the sensing device.
Let the initial height (distance from the ground) of the rear infrared device be a0. Among the light rays not striking the sidewalk, adjacent light rays are projected on the ground at a distance of A, B, C, respectively. In any divergence period of the light array, the deflection angle of the light needs to be strictly controlled. If the vertical deflection angle is too large, the adjacent lane cannot be detected, and if the vertical deflection angle is too small, a plurality of laser beams may be concentrated on one lane. Let the included angles between the light rays be α, β, γ, respectively, as shown in fig. 7.
In the embodiment, the sensing device is installed at the position 1 meter away from the ground at the tail part of the vehicle, namely H is 1, namely a01. According to road regulations, the lane width is 3.5 meters at most, namely, L is 3.5 meters, so that the distance from the center line of the vehicle to the middle line of the side lane is 3.5 meters, namely, a is 3.5 m. The vertical deflection angle of each light ray is adjusted by utilizing trigonometric function relationship as follows, so that each laser beam is projected to the center of the adjacent road to the maximum extent.
The oblique distance matrix of the road edge optical array is M ═ b0 c0 d0) The diagonal angle matrix corresponding to M is:
vertical matrix Q ═ a0 a0 a0) Then, the matrix P is determined to be mxn-Q. If P is within a certain range, the judgment is valid.
Since the vehicle is a straight-lane crossing in this embodiment, the road widths on both sides of the vehicle can be determined by determining the number of adjacent lanes of the test vehicle.
On the basis of the above embodiments, determining the detection range of the vehicle head based on the lane widths of the two sides of the current vehicle and the preset detection angle specifically includes:
and setting a detection range on a lane in front of the current vehicle by taking the lane widths at two sides of the current vehicle as boundaries based on the preset infrared ray length and the preset detection angle.
In the embodiment, it is determined whether the target object is a moving vehicle within the distance of 150-250 meters, so that the front vehicle is simplified to be the detection of the object with the specific contour feature, and thus the detection of the moving vehicle by using the optical array formed by a limited single beam of laser becomes possible.
The schematic diagram of the detection range of the target light array obtained by calculating the lane widths of the two sides of the vehicle according to the above embodiments of the present invention is shown in fig. 8.
a, b are the road width on both sides of the vehicle, theta1，θ2Is a preset ray declination angle (preset detection angle). The actual lengths OA and OD of the light rays at the edge of the optical array can be obtained by a trigonometric function, and then two detection range boundary points are determined. As the straight-road meeting condition is researched, the shortest distance is used according to the far-reaching headlamp specified by the road safety law, and the length of the infrared ray is preset to be 250 meters. The light is emitted from one point of the head of the vehicle on the lane to form a detection area, and the restriction of two points A and D is added, so that the detection of the target optical array can be finally obtainedThe measurement range is the irregular polygon OABCD in FIG. 8.
When the detection target enters the range of the target light array of the test vehicle, the movement changes as shown in fig. 9.
From the figure, at time t, y1＝y2＝y3＝y4＝D0And y is5＞D0(ii) a At time t ', y'2＝y′3＝y′4＝y′5＝D0'and y'1＞D0′。
If v (t' -t) ═ D, assuming that the current vehicle speed is v0-D′0And if not, the target is a static object, otherwise, the target is a moving object. When the target is a moving object and the critical light beam has a corresponding change rule, the target can be judged to be a moving vehicle, and then the high beam switching reminding is carried out on the current vehicle and the autonomous switching is carried out.
On the basis of the above embodiments, the emitting a target optical array in the detection range specifically includes:
emitting a plurality of target light rays with equal included angles in the detection range to form a target light array; the radiation distance of each target ray is 150-250 m, and the radiation width is 10-18 m; the emission period of the target optical array is 30-60 ms.
To determine whether the target object is a moving vehicle, a target light array is disposed in front of the vehicle, wherein the amount of light in the target light array is 40, specifically p1、p2...p40. The target light array is composed of 40 blue light rays, and the included angle between each light ray is 0.1 degrees. The farthest radiation distance of the light beam is 250 meters, the radiation width is 14m, the emission period of the optical array is 50ms, and a large number of experiments show that the optical array can complete data collection, processing and output in the period.
On the basis of the above embodiments, acquiring the profile and state of each target object in the detection range based on the marginal ray of the target optical array specifically includes:
obtaining a critical light beam in the target optical array, wherein the critical light beam is the light beam which has the minimum measurement distance in the light cluster of the target optical array and is irradiated on the side surface of the target object;
and describing the contour of the target object based on the critical light beam, and controlling the current vehicle to be switched into a dipped headlight if the target object is judged to be the vehicle.
In this embodiment, when two vehicles meet in a straight lane, the test vehicle body emits a target light array into which the oncoming vehicle will enter, as shown in fig. 10. According to the lane where the vehicle is located and the determined boundary range obtained in the embodiments, part of the target light in front of the vehicle is blocked by the target object. To determine the type of the target, the critical beam is defined as the light that has the smallest distance of the laser measurement in the target light cluster and does not hit the side of the target. And (4) utilizing the critical light beam in the target light array to depict the outline of the target object, and further judging whether the target object is a vehicle. If the vehicle is a vehicle and is located within the range of 150-200 meters away from the test vehicle, the system makes a judgment of switching the high beam to the low beam.
Once a vehicle enters the target optical array, a plurality of light rays are blocked, and along with the continuous approach of the vehicle, part of the blocked light rays are not blocked. The target object is classified by tracking a critical beam in the target beam.
Critical beam of light is pCritical point of，p1～p40(removal of pCritical point of) For a target light array, the subject vehicle experiences the process of intersecting, tangency, and separation with edge blocking rays. Since the laser emission period is 50ms and the relative speed of the two vehicles is the maximum value, namely 240km/h, the relative movement distance of the two vehicles is 2 × 0.05 × 120/3.6-3.33 m in a single period, so that the edge blocking light can capture the target object with the side length of more than or equal to 3.33 m.
On the basis of the foregoing embodiments, acquiring the critical light beam in the target optical array specifically includes:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
In this embodiment, the target object may block a plurality of continuous light beams, and the target light beam cluster may be found according to the described target state of each light beam.
On the same horizontal plane, the light rays are numbered 1, 2, 3, 40 from left to right, resulting in a numbering matrix N (12 … 40). Taking a unidirectional 3-lane as an example, the test vehicle is located in a middle lane, and the adjacent lanes have the judgment results of 1 lane on the left and right, so that the target light array only detects the range between the 2 two lanes (3 lanes in total). Note thetaiThe horizontal deflection angle of the ith ray.
The theoretical arrival distance of each ray is F, and the actual measurement distance is G, then
G＝(d1 d2 ... dn) If it is
Then
Wherein:
that is, the distance of each light ray in the measuring range without the target object is determined.
Horizontal deflection angle matrix:
with the sensing device as the origin, the vertical component matrix L of the light length is G × K. Let the decision matrix T ═ lambda1 λ2… λn)。
If λi1, the light is blocked by the target in the measuring range; if λ i0, it is not blocked.
The target light cluster of a moving vehicle is different from the target light clusters of other target objects. If the target object is a vehicle, in the target light cluster, the vertical components corresponding to most target light rays should be equal, and only a small part of the target light rays will hit the side surface of the vehicle.
For distinguishing critical beams, a variable U is introducedj＝λj-1+λj+1. If U isjIf it is 1, it is determined that there is a light ray near the light ray from the light-blocking state to the light-non-blocking state, and it is defined as a transition node.
The transition node divides the optical array into a plurality of intervals, and the effective target object interval can be obtained by screening the intervals. And assuming that the light ray number of the target object interval is m-n, solving the mode R of the corresponding vertical component of the light ray between the light rays m to n. The criteria for critical beam are as follows:
wherein k is0The number corresponding to the critical light beam.
On the basis of the foregoing embodiments, after determining that the target object is a vehicle, the method further includes:
and judging whether the vehicle is a moving vehicle or not based on the distance measured by the critical light beams at different moments and the running speed of the current vehicle, and if the vehicle is known to be the moving vehicle, controlling the current vehicle to be switched to a dipped headlight.
In this embodiment, if the y values of the light beam target light clusters are the same as the light beam, the target is determined to be a stationary object, otherwise, the target is determined to be a moving object.
And time t: y is1＝y2＝y3＝y4＝D0And y is5＞D0；
time t': y'2＝y′3＝y′4＝y′5＝D0And y'1＞D0
v(t′-t)＝D0-D′0，
Then k of the determined moving object0Proceed with tracing if
Then the pair k is abandoned0When the global safety count X is larger than or equal to 2, the high beam safety problem is judged, and the high beam is forbidden and switched to be the dipped beam.
On the basis of the above embodiments, in this embodiment, a simulation environment is established in the C language based on the above algorithm, the speed of the test vehicle and the speed of the target vehicle are input, and it is set that both vehicles move at a constant speed and start time interval is 1000 m. And (3) calculating the relative speed by using the relative position of the test vehicle and the target so as to judge whether the target moves, and judging whether the vehicle profile exists or not according to the critical light speed and the change rule of the target light beam cluster. And if the target is a moving object and has the vehicle outline, reminding the test vehicle and automatically switching the high beam into the low beam. The 9 sets of velocities were randomly generated and the experimental data are shown in table 1. As can be seen from Table 1, the algorithm always makes a judgment within the range of 150-250 m, and the accuracy is 100%.
TABLE 1 test data
In conclusion, in the embodiment, a road width measurement and front vehicle detection method in a night driving scene is developed based on an infrared ranging laser array. The method comprises the following steps of utilizing laser ranging devices arranged at the head and the tail of a vehicle to measure the distance of a target object based on a laser array to realize the measurement of the width of a straight road; by analyzing the relative position change of the target object and the laser array, a target object contour recognition method is established, and accordingly front vehicle detection is achieved. And (4) evaluating the safety of vehicle meeting at night based on the vehicle motion state and relative distance measurement, and realizing active prevention control of the high beam. And in the range of the relative distance of 150 plus 250 meters, identifying whether the target is a moving vehicle by judging the relative position relationship between the test vehicle and the front target, and if meeting conditions are met, starting the high beam active prevention control system to radically avoid abuse of the high beam during short-distance meeting.
The embodiment of the invention also provides an active prevention and control system of a high beam based on infrared sensing, which comprises:
the fourth module is used for acquiring lane widths of two sides of the vehicle in the current vehicle running process and determining the detection range of the vehicle head based on the lane widths of the two sides of the current vehicle and a preset detection angle;
and the fifth module is used for emitting the target light array in the detection range, acquiring the outline and the state of each target object in the detection range based on marginal light of the target light array, and controlling the current vehicle to be switched to the dipped headlight if the target object is judged to be a moving vehicle.
In this embodiment, a physical model is designed based on main components such as a vehicle-mounted single chip microcomputer and an infrared receiver, an L298N motor driving module, a ranging sensing single chip microcomputer, an infrared ranging sensing module and the like, and high beam prevention control during vehicle meeting at night is simulated through laser signal acquisition processing, front vehicle detection and model vehicle light switching.
The single chip microcomputer is selected as a core of the demonstration model, data acquired by the sensing equipment and data processed by the monitoring video are transmitted into the single chip microcomputer, and the data are processed by using a corresponding program in the single chip microcomputer, specifically as shown in fig. 11. When the received analog signal meets the condition of forcibly turning off the high beam, active control can be realized, and the harm caused by the high beam is reduced.
In this embodiment, a moving vehicle determination system based on a fuzzy algorithm is further provided, including:
the first module is used for determining the detection range of the vehicle head based on the lane width of the two sides of the current vehicle and a preset detection angle;
the second module is used for transmitting the target optical array in the detection range and acquiring a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance and does not hit the side face of a target object in a light ray cluster of the target optical array;
and the third module is used for depicting the contour of the target object based on the critical light beam and judging whether the target object is a moving vehicle or not based on the contour of the target object and the states of the target object at different moments.
Further, the second module is specifically configured to:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
Fig. 12 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 12, the electronic device may include: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may invoke a computer program stored on the memory 830 and operable on the processor 810 to perform the fuzzy algorithm based moving vehicle determination methods provided by the various embodiments described above, including, for example:
s201, determining a detection range of a vehicle head based on lane widths of two sides of a current vehicle and a preset detection angle;
s202, emitting a target optical array in the detection range, and obtaining a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance in a light ray cluster of the target optical array and does not hit the side face of a target object;
s203, depicting the contour of the target object based on the critical light beam, and judging whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different moments.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to, when executed by a processor, perform the method for determining a moving vehicle based on a fuzzy algorithm provided in the foregoing embodiments, for example, the method includes:
s201, determining a detection range of a vehicle head based on lane widths of two sides of a current vehicle and a preset detection angle;
s202, emitting a target optical array in the detection range, and obtaining a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance in a light ray cluster of the target optical array and does not hit the side face of a target object;
s203, depicting the contour of the target object based on the critical light beam, and judging whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different moments.
An embodiment of the present invention further provides a computer program product, which includes a computer program stored on a non-transitory computer readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer being capable of executing the moving vehicle determination method based on the fuzzy algorithm as described above, for example, including:
s201, determining a detection range of a vehicle head based on lane widths of two sides of a current vehicle and a preset detection angle;
s202, emitting a target optical array in the detection range, and obtaining a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance in a light ray cluster of the target optical array and does not hit the side face of a target object;
s203, depicting the contour of the target object based on the critical light beam, and judging whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different moments.
In summary, the embodiment of the present invention provides a method and a system for determining a moving vehicle based on a fuzzy algorithm, in which a set of infrared ranging lasers is arranged at a vehicle tail, and a road width is measured by the lasers emitted on a vertical plane; secondly, arranging a second group of infrared ranging lasers above the engine cover of the locomotive, horizontally emitting laser beams towards the front of the vehicle for front target ranging, and combining a first group of laser devices to realize definition of a front target detection range; then, a front target contour detection algorithm is designed based on the fuzzy recognition principle, and automatic recognition of the front target (namely vehicle/non-vehicle, moving vehicle/static vehicle) is realized according to the relative displacement of the front target and the second group of laser beams of the test vehicle.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A moving vehicle determination method based on a fuzzy algorithm is characterized by comprising the following steps:
determining the detection range of the vehicle head based on the lane widths of the two sides of the current vehicle and a preset detection angle;
emitting a target optical array in the detection range, and acquiring a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance and does not hit the side surface of a target object in a light ray cluster of the target optical array;
depicting the contour of a target object based on the critical light beam, and judging whether the target object is a moving vehicle based on the contour of the target object and the states of the target object at different moments;
the detection scope of locomotive is confirmed based on the lane width of current vehicle both sides and predetermine detection angle, specifically includes:
setting a detection range on a lane in front of a current vehicle by taking lane widths on two sides of the current vehicle as boundaries based on a preset infrared ray length and a preset detection angle;
acquiring a critical light beam in the target optical array, specifically including:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
2. The method for determining a moving vehicle based on the fuzzy algorithm as claimed in claim 1, wherein emitting the target light array in the detection range specifically comprises:
emitting a plurality of target light rays with equal included angles in the detection range to form a target light array; the radiation distance of each target ray is 150-250 m, and the radiation width is 10-18 m; the emission period of the target optical array is 30-60 ms.
3. The method for determining a moving vehicle based on a fuzzy algorithm according to claim 1, wherein determining whether the object is a moving vehicle based on the contour of the object and the state of the object at different times specifically comprises:
and judging whether the target object is a vehicle or not based on the contour of the target object, and if so, judging whether the vehicle is a moving vehicle or not based on the distance measured by the critical light beams at different moments and the running speed of the current vehicle.
4. A moving vehicle determination system based on a fuzzy algorithm, comprising:
the first module is used for determining the detection range of the vehicle head based on the lane width of the two sides of the current vehicle and a preset detection angle;
the second module is used for transmitting the target optical array in the detection range and acquiring a critical light beam in the target optical array, wherein the critical light beam is a light ray which has the minimum measurement distance and does not hit the side face of a target object in a light ray cluster of the target optical array;
and the third module is used for depicting the contour of the target object based on the critical light beam and judging whether the target object is a moving vehicle or not based on the contour of the target object and the states of the target object at different moments.
5. The fuzzy algorithm-based moving vehicle determination system of claim 4 wherein the second module is specifically configured to:
acquiring a set distance of each light ray in a detection range under the condition of no target object and an actual measurement distance when the target object exists, and if the set distance is equal to the actual measurement distance through judgment, dividing the corresponding light ray into a blocked light ray;
acquiring a transition node in the target optical array to divide the target optical array into a plurality of optical array subintervals, wherein the transition node is a light node for changing light from a blocked state to a non-blocked state;
and taking the light rays with equal components in the current vehicle driving direction in the multiple light array subintervals as critical light beams.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of any of claims 1 to 4 when executing the program.
7. A non-transitory computer readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of any one of claims 1 to 4.
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