CN116645817A - Illegal vehicle tracking method, system, electronic equipment and storage medium - Google Patents
Illegal vehicle tracking method, system, electronic equipment and storage medium Download PDFInfo
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- CN116645817A CN116645817A CN202310443859.9A CN202310443859A CN116645817A CN 116645817 A CN116645817 A CN 116645817A CN 202310443859 A CN202310443859 A CN 202310443859A CN 116645817 A CN116645817 A CN 116645817A
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000003860 storage Methods 0.000 title claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 230000008859 change Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 16
- 238000004590 computer program Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 238000001514 detection method Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000008676 import Effects 0.000 description 4
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- 239000013589 supplement Substances 0.000 description 3
- 241000283070 Equus zebra Species 0.000 description 2
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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Abstract
The invention provides a method, a system, electronic equipment and a storage medium for tracking a violation vehicle, wherein the method, the system and the electronic equipment acquire the running track of a target vehicle in real time through a preset millimeter wave radar, predict the follow-up track based on the running track to obtain a predicted follow-up track, analyze the violation of the target vehicle based on the predicted follow-up track, and track the target vehicle through a plurality of cameras on the predicted follow-up track when the analysis result is suspected violation, thereby realizing automatic completion of dynamic monitoring of the suspected violation vehicle, providing accurate video basis for the violation judgment of follow-up police, greatly improving the accuracy of the violation judgment of police and the working efficiency of the violation judgment.
Description
Technical Field
The present invention relates to the field of target tracking technologies, and in particular, to a method, a system, an electronic device, and a storage medium for tracking a violation vehicle.
Background
The traffic sequence of the intersections is disturbed to a certain extent, the traffic delay of the intersections is increased, the traffic capacity of the intersections is reduced, even unnecessary traffic accidents are caused, and the traffic sequence has higher danger.
Because the hysteresis of the existing supervision technology and many illegal driving behaviors cannot be effectively identified and supervised in time, the post-incident responsibility cannot be completed; in addition, the existing video image technology has insufficient coverage, dead angle monitoring blind areas exist, and the traffic police dispatch check is needed, so that manpower is wasted, and all-weather real-time supervision cannot be guaranteed. Therefore, how to further realize the automatic tracking of the violation vehicle to acquire the violation record is a problem to be solved.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a method, a system, electronic equipment and a storage medium for tracking a violation vehicle, which are used for solving the problem of how to further realize automatic tracking of the violation vehicle to acquire a violation record.
According to a first aspect of the present invention, there is provided a method of tracking a violation vehicle, comprising:
acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar;
acquiring a predicted follow-up track of the target vehicle based on the driving track;
performing violation analysis on the target vehicle based on the predicted follow-up track;
and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track.
On the basis of the technical scheme, the invention can also make the following improvements.
Preferably, the step of tracking the target vehicle based on the plurality of cameras on the predicted subsequent track when the analysis result is suspected violation includes:
when the analysis result is suspected rule violations, the types of a plurality of cameras on the preset follow-up track are obtained;
and when the types of the cameras are all gun cameras, tracking the target vehicle based on the cameras.
Preferably, the method for tracking the illegal vehicle further comprises the following steps:
when any one of the plurality of cameras is a ball camera, adjusting the rotation angle of the camera with the ball camera based on the preset follow-up track and the running track, and tracking the target vehicle based on the adjusted camera.
Preferably, after the step of tracking the target vehicle based on the plurality of cameras on the predicted subsequent track when the analysis result is suspected violations, the method includes:
and based on the tracking result of the target vehicle, carrying out violation classification on videos acquired by the cameras, and pushing the videos to corresponding law enforcement personnel based on the classification result.
Preferably, the classification result comprises reverse driving, illegal lane changing, red light running, overspeed driving and illegal parking.
Preferably, the step of performing violation analysis on the target vehicle based on the predicted subsequent trajectory includes:
according to the direction of the predicted follow-up track, predicting whether the target vehicle runs reversely; according to the intersection point of the preset follow-up track and the lane line of the lane where the target vehicle is located, whether the target vehicle breaks rules and changes lanes or not is judged in advance; according to the distance between the predicted subsequent track and the traffic light of the intersection, the speed and the state of the traffic light, whether the target vehicle runs the red light or not is predicted; according to the intersection point of the preset follow-up track and the road boundary, whether the target vehicle parks in a violation manner is judged;
when the pre-judging result is that the vehicle runs reversely, breaks into rules and channels, breaks the red light or breaks rules and channels, the analysis result is set as a suspected rule breaking.
Preferably, the method for tracking the illegal vehicle further comprises the following steps:
and acquiring the driving speed of the target vehicle in real time, prejudging whether the target vehicle is in overspeed driving or not based on the driving speed and the road speed limit, and setting the analysis result as suspected violations when the prejudging result is overspeed driving.
According to a second aspect of the present invention there is provided a violation vehicle tracking system comprising:
the track acquisition module is used for acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar;
the track prediction module is used for acquiring a predicted follow-up track of the target vehicle based on the running track;
the violation analysis module is used for carrying out violation analysis on the target vehicle based on the predicted follow-up track;
and the vehicle tracking module is used for tracking the target vehicle based on the plurality of cameras on the predicted follow-up track when the analysis result is suspected violations.
According to a third aspect of the present invention there is provided an electronic device comprising a memory, a processor for implementing the steps of any of the above-described method of tracking a violation vehicle of the first aspect when executing a computer management-like program stored in the memory.
According to a fourth aspect of the present invention there is provided a computer readable storage medium having stored thereon a computer management class program which when executed by a processor implements the steps of any of the above-described method of tracking a violation vehicle of the first aspect.
The invention provides a method, a system, electronic equipment and a storage medium for tracking a violation vehicle, wherein the method comprises the following steps: acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; acquiring a predicted follow-up track of the target vehicle based on the running track; performing violation analysis on the target vehicle based on the predicted follow-up track; and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track. According to the method, the running track of the target vehicle is obtained in real time through the preset millimeter wave radar, the follow-up track is predicted based on the running track to obtain the predicted follow-up track, the follow-up track is predicted based on the predicted follow-up track, the target vehicle is subjected to violation analysis based on the predicted follow-up track, and when the analysis result is suspected violation, the target vehicle is tracked through the cameras on the predicted follow-up track, so that the dynamic monitoring of the suspected violation vehicle is automatically completed, an accurate video basis is provided for the violation judgment of follow-up police personnel, the accuracy of the violation judgment of the police personnel is greatly improved, and the working efficiency of the violation judgment is improved.
Drawings
FIG. 1 is a flow chart of a method for tracking a violation vehicle provided by the invention;
FIG. 2 is a schematic diagram of an application scenario for tracking a offending vehicle provided by the present invention;
FIG. 3 is a schematic diagram of a system for tracking a vehicle against regulations according to the present invention;
fig. 4 is a schematic hardware structure of one possible electronic device according to the present invention;
fig. 5 is a schematic hardware structure of a possible computer readable storage medium according to the present invention.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
Fig. 1 is a flowchart of a method for tracking a violation vehicle, provided by the invention, as shown in fig. 1, the method includes:
step S100: acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar;
it should be noted that, the execution body of the method of this embodiment may be a computer terminal device having functions of data processing, network communication, and program running, for example: computers, tablet computers, etc.; the present embodiment is not limited to this, and may be a server device having the same similar function, or may be a cloud server having a similar function. For ease of understanding, this embodiment and the following embodiments will be described by taking a server device as an example.
It is understood that the preset millimeter wave radar may be a radar installed in advance on a driving section of the target vehicle, where the millimeter wave radar is used to acquire a driving position of the target vehicle by radar wave implementation to form a driving track, and may also be used to acquire a specific driving lane of the target vehicle by mapping the driving track onto a high-precision map in combination with the high-precision map.
Furthermore, the running track can be displayed in real time through the high-precision map, so that the simulation of the actual running condition of the traffic road and the road junction is realized, and the traffic road junction is conveniently monitored by law enforcement personnel remotely.
It should be understood that the above-mentioned driving tracks include, but are not limited to, vehicle license plates, vehicle colors, and driving gestures.
Step S200: acquiring a predicted follow-up track of the target vehicle based on the driving track;
it is to be understood that the step of obtaining the predicted subsequent track based on the driving track may be a track simulation of a future period of the driving track based on the speed, the acceleration, and the driving direction of the target vehicle.
Further, since the travel track is acquired in real time, the predicted subsequent track may be corrected according to the travel track.
Step S300: performing violation analysis on the target vehicle based on the predicted follow-up track;
further, the step of analyzing the violation includes:
step S301: according to the direction of the predicted follow-up track, predicting whether the target vehicle runs reversely; according to the intersection point of the preset follow-up track and the lane line of the lane where the target vehicle is located, whether the target vehicle breaks rules and changes lanes or not is judged in advance; according to the distance between the predicted subsequent track and the traffic light of the intersection, the speed and the state of the traffic light, whether the target vehicle runs the red light or not is predicted; according to the intersection point of the preset follow-up track and the road boundary, whether the target vehicle parks in a violation manner is judged;
step S302: when the pre-judging result is that the vehicle runs reversely, breaks into rules and channels, breaks the red light or breaks rules and channels, the analysis result is set as a suspected rule breaking.
Step S303: and acquiring the driving speed of the target vehicle in real time, prejudging whether the target vehicle is in overspeed driving or not based on the driving speed and the road speed limit, and setting the analysis result as suspected violations when the prejudging result is overspeed driving.
It can be understood that whether the target vehicle is a suspected illegal vehicle is judged by analyzing the predicted follow-up track of the target vehicle, so that the important attention vehicle is locked in the traffic flow, and a nearby camera is mobilized to monitor the important attention vehicle in real time, so that powerful evidence is provided for follow-up law enforcement personnel to judge the illegal.
Further, when there are a plurality of vehicles of great interest, the plurality of vehicles of great interest can be monitored simultaneously by calling a plurality of cameras in the vicinity.
Step S400: and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track.
In a specific implementation, when the analysis result judges that the target vehicle is a suspected illegal vehicle, cameras on the predicted follow-up track are obtained one by one, and the running process of the target vehicle is monitored in real time based on the cameras.
Further, when the analysis result is suspected violation, tracking the target vehicle based on the plurality of cameras on the predicted subsequent track, including:
step S401: when the analysis result is suspected rule violations, the types of a plurality of cameras on the preset follow-up track are obtained;
step S402: and when the types of the cameras are all gun cameras, tracking the target vehicle based on the cameras.
Step S403: when any one of the plurality of cameras is a ball camera, adjusting the rotation angle of the camera with the ball camera based on the preset follow-up track and the running track, and tracking the target vehicle based on the adjusted camera.
It will be appreciated that since the camera of the gun camera is fixed angle, it is necessary to track the target vehicle in real time in combination with multiple cameras and stitch the tracking video in combination with time.
Further, when the camera is a dome camera, since the shooting angle of the dome camera is adjustable, in this embodiment, the shooting angle of the dome camera can be adjusted and controlled by combining the speed and the acceleration of the target vehicle, so as to realize real-time tracking of the target vehicle, and when the target vehicle exceeds the shooting range of the current dome camera, the next dome camera can be controlled in advance to enter the shooting point of the predicted follow-up track in advance. Therefore, seamless connection of tracking the target vehicle among the cameras of the ball cameras can be realized, and the reliability of tracking video and the accuracy of judging the follow-up law enforcement violation event are greatly improved.
It can be appreciated that based on the defects in the background technology, the embodiment of the invention provides a method for tracking a violation vehicle. The method comprises the following steps: acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; acquiring a predicted follow-up track of the target vehicle based on the running track; performing violation analysis on the target vehicle based on the predicted follow-up track; and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track. According to the method, the running track of the target vehicle is obtained in real time through the preset millimeter wave radar, the follow-up track is predicted based on the running track to obtain the predicted follow-up track, the follow-up track is predicted based on the predicted follow-up track, the target vehicle is subjected to violation analysis based on the predicted follow-up track, and when the analysis result is suspected violation, the target vehicle is tracked through the cameras on the predicted follow-up track, so that the dynamic monitoring of the suspected violation vehicle is automatically completed, an accurate video basis is provided for the violation judgment of follow-up police personnel, the accuracy of the violation judgment of the police personnel is greatly improved, and the working efficiency of the violation judgment is improved.
In one possible application scenario, referring to fig. 2, fig. 2 is a schematic diagram of an application scenario for tracking a violation vehicle provided by the present invention; in fig. 2, the vehicle A, B is a target vehicle traveling at an intersection, a traffic light intersection is in front of the vehicle B, and traffic marks are also located beside the zebra crossings, at which the traffic light intersection is in communication with camera cameras C1, C2 and camera C3. The system corresponding to the method of the embodiment is a holographic intersection detection system, which comprises a hardware component and a software component, wherein the hardware component comprises a millimeter wave radar, an edge calculation unit, a camera and a traffic light detector; the software components include artificial intelligence algorithms, high precision maps, big data platforms and video streaming services.
In one possible embodiment, the traffic light is a green light countdown period, the vehicle B starts to run at a reduced speed due to the observation of the red light signal, the vehicle a is ready to accelerate through the traffic light, at this time, the millimeter wave radar of the embodiment acquires the running track of the target vehicle a as the accelerated running, and the traffic light detector judges that the vehicle enters the red light immediately, so that the possibility that the vehicle a runs the red light is possibly divided into focusing vehicles, the gun camera C1 and the gun camera C2 track the track of the vehicle a, and the dome camera C3 supplements the cameras C1 and C2, so that the whole process tracking of the vehicle a at the intersection is realized.
In another possible embodiment, the traffic light is a green light, the vehicle B starts to run at a reduced speed because it finds a zebra crossing in front, the vehicle a is ready to run at a changed speed because it finds a green light, at this time, the millimeter wave radar of the embodiment acquires that the running track of the target vehicle a is an accelerating and changing track running, and the front of the vehicle a is a solid line prohibiting changing track, so that the vehicle a may generate a illegal changing track, and is classified into focusing vehicles, the camera cameras C1 and C2 track the track of the vehicle a, and the camera C3 supplements the cameras C1 and C2, thereby realizing the whole process tracking of the vehicle a at the intersection.
In another possible embodiment, the traffic light is a green light, the millimeter wave radar of the present embodiment obtains the running track of the vehicle B and determines that the vehicle B will turn left based on the running track, but the vehicle B is running on a straight lane, so that it is determined that the vehicle B may not run according to the lane, the vehicle B is divided into vehicles of great interest, the camera cameras C1 and C2 track the track of the vehicle B, and the camera C3 supplements the cameras C1 and C2, so as to track the vehicle B at the intersection in the whole process.
In another possible embodiment, in the process of tracking the vehicle focused on the point, the edge computing unit may be further used to fit multidimensional basic source data such as radar data, video information, vehicle license plates, location, vehicle speed, driving posture, vehicle attribute, real-time track, etc., and upload the multidimensional basic source data to a holographic intersection detection system, where the holographic intersection detection system displays the information in a three-dimensional map form, and further may further synthesize various service indexes for the source data, for example: crossing overflow, queuing length, parking times, running speed, traffic flow, traffic illegal events and the like, thereby providing more comprehensive traffic conditions for law enforcement, greatly improving the accuracy of traffic control judgment of police officers and improving the working efficiency of traffic control judgment.
Furthermore, on the basis of the source data, intersection rating, import statistics, index comparison, 24-hour trend graphs and congestion thermodynamic diagrams can be further carried out on the intersections, so that more convenient traffic condition analysis is provided for law enforcement through the holographic intersection detection system.
The intersection grading can be that the current intersection running state in the selected time range is calculated through the intersection state, the queuing length, the parking times, the delay time and the radar, the intersection grading is given, the actual value and the standard value difference change of 6 different indexes in the selected time range are displayed through the radar chart, and meanwhile, the specific data and the average value comparison result of the index peak time period value are given.
The import statistics can be that the running directions of all import vehicles at the current intersection within the selected time range are displayed through a bar graph, and the index conditions comprise import flow, delay time, queuing length, parking times and the like.
The index comparison can be a comparison index of the traffic running condition of the current intersection in the same period of the current selected time linkage history, and the indexes comprise but are not limited to flow, delay, queuing, stopping, fuel consumption and events.
The 24-hour trend graph can display the traffic change trend in the current intersection 24 hours at the current selected time and the same historical time through the line graph, and the indexes include but are not limited to flow, delay time, queuing length, stopping times, delay time and traffic events.
The congestion thermodynamic diagram can be used for displaying all inlet congestion conditions of the current intersection within 24 hours, pushing data once every 10 minutes, and reflecting the traffic operation saturation state of the current intersection through the congestion conditions of the thermodynamic diagram.
In the embodiment, the holographic intersection detection system corresponding to the method of the embodiment not only can track the target vehicles suspected to be illegal, but also can further excavate the data in the tracking process and display the traffic state of each traffic intersection for law enforcement officers in a holographic three-dimensional mode, so that the accurate tracks of the traffic intersection, namely the machine, non-man, are accurately depicted, the number of vehicles and the all-direction, all-weather and all-element traffic running conditions of the intersection are accurately restored, the urban traffic management scene is oriented, traffic management service is served, and high-precision and real-time traffic data are provided for traffic control optimization, intersection evaluation, intersection coordination control, black point and hidden danger point safety adjustment and other services.
Referring to fig. 3, fig. 3 is a schematic diagram of a structure diagram of a system for tracking a vehicle against rules provided in an embodiment of the present invention, as shown in fig. 3, a system for tracking a vehicle against rules includes a track acquisition module 100, a track prediction module 200, a rule analysis module 300, and a vehicle tracking module 400, where:
the track acquisition module 100 is used for acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; a track prediction module 200, configured to obtain a predicted subsequent track of the target vehicle based on the driving track; the violation analysis module 300 is configured to perform violation analysis on the target vehicle based on the predicted subsequent track; and the vehicle tracking module 400 is configured to track the target vehicle based on the plurality of cameras on the predicted subsequent track when the analysis result is a suspected violation.
It can be understood that the system for tracking the illegal vehicle provided by the present invention corresponds to the method for tracking the illegal vehicle provided by the foregoing embodiments, and the relevant technical features of the system for tracking the illegal vehicle may refer to the relevant technical features of the method for tracking the illegal vehicle, which is not described herein.
Referring to fig. 4, fig. 4 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 4, an embodiment of the present invention provides an electronic device including a memory 1310, a processor 1320, and a computer program 1311 stored on the memory 1310 and executable on the processor 1320, the processor 1320 implementing the following steps when executing the computer program 1311:
acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; acquiring a predicted follow-up track of the target vehicle based on the running track; performing violation analysis on the target vehicle based on the predicted follow-up track; and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track.
Referring to fig. 5, fig. 5 is a schematic diagram of an embodiment of a computer readable storage medium according to the present invention. As shown in fig. 5, the present embodiment provides a computer-readable storage medium 1400 having stored thereon a computer program 1411, which computer program 1411, when executed by a processor, performs the steps of:
acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; acquiring a predicted follow-up track of the target vehicle based on the running track; performing violation analysis on the target vehicle based on the predicted follow-up track; and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track.
The invention provides a method, a system, electronic equipment and a storage medium for tracking a violation vehicle, wherein the method comprises the following steps: acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar; acquiring a predicted follow-up track of the target vehicle based on the running track; performing violation analysis on the target vehicle based on the predicted follow-up track; and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track. According to the method, the running track of the target vehicle is obtained in real time through the preset millimeter wave radar, the follow-up track is predicted based on the running track to obtain the predicted follow-up track, the follow-up track is predicted based on the predicted follow-up track, the target vehicle is subjected to violation analysis based on the predicted follow-up track, and when the analysis result is suspected violation, the target vehicle is tracked through the cameras on the predicted follow-up track, so that the dynamic monitoring of the suspected violation vehicle is automatically completed, an accurate video basis is provided for the violation judgment of follow-up police personnel, the accuracy of the violation judgment of the police personnel is greatly improved, and the working efficiency of the violation judgment is improved.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A method of tracking a offending vehicle, the method comprising:
acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar;
acquiring a predicted follow-up track of the target vehicle based on the driving track;
performing violation analysis on the target vehicle based on the predicted follow-up track;
and when the analysis result is suspected illegal, tracking the target vehicle based on a plurality of cameras on the predicted follow-up track.
2. The method of claim 1, wherein the step of tracking the target vehicle based on the plurality of cameras on the predicted subsequent trajectory when the analysis result is a suspected violation comprises:
when the analysis result is suspected rule violations, the types of a plurality of cameras on the preset follow-up track are obtained;
and when the types of the cameras are all gun cameras, tracking the target vehicle based on the cameras.
3. The method of claim 2, further comprising:
when any one of the plurality of cameras is a ball camera, adjusting the rotation angle of the camera with the ball camera based on the preset follow-up track and the running track, and tracking the target vehicle based on the adjusted camera.
4. The method according to claim 1, wherein after the step of tracking the target vehicle based on the plurality of cameras on the predicted subsequent trajectory when the analysis result is a suspected violation, the method comprises:
and based on the tracking result of the target vehicle, carrying out violation classification on videos acquired by the cameras, and pushing the videos to corresponding law enforcement personnel based on the classification result.
5. The method of claim 4, wherein the classification result includes reverse travel, lane change, red light running, speeding, and parking violations.
6. The method of claim 1, wherein the step of performing a violation analysis on the target vehicle based on the predicted subsequent trajectory comprises:
according to the direction of the predicted follow-up track, predicting whether the target vehicle runs reversely;
according to the intersection point of the preset follow-up track and the lane line of the lane where the target vehicle is located, whether the target vehicle breaks rules and changes lanes or not is judged in advance;
according to the distance between the predicted subsequent track and the traffic light of the intersection, the speed and the state of the traffic light, whether the target vehicle runs the red light or not is predicted;
according to the intersection point of the preset follow-up track and the road boundary, whether the target vehicle parks in a violation manner is judged;
when the pre-judging result is that the vehicle runs reversely, breaks into rules and channels, breaks the red light or breaks rules and channels, the analysis result is set as a suspected rule breaking.
7. The method of claim 6, further comprising:
and acquiring the driving speed of the target vehicle in real time, prejudging whether the target vehicle is in overspeed driving or not based on the driving speed and the road speed limit, and setting the analysis result as suspected violations when the prejudging result is overspeed driving.
8. A system for tracking a vehicle against regulations, comprising:
the track acquisition module is used for acquiring the running track of the target vehicle in real time based on a preset millimeter wave radar;
the track prediction module is used for acquiring a predicted follow-up track of the target vehicle based on the running track;
the violation analysis module is used for carrying out violation analysis on the target vehicle based on the predicted follow-up track;
and the vehicle tracking module is used for tracking the target vehicle based on the plurality of cameras on the predicted follow-up track when the analysis result is suspected violations.
9. An electronic device comprising a memory, a processor for implementing the steps of the method for tracking a violation vehicle of any of claims 1-7 when executing a computer management class program stored in the memory.
10. A computer readable storage medium, having stored thereon a computer management class program which when executed by a processor implements the steps of the method of violation vehicle tracking of any of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117012032A (en) * | 2023-09-28 | 2023-11-07 | 深圳市新城市规划建筑设计股份有限公司 | Intelligent traffic management system and method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117012032A (en) * | 2023-09-28 | 2023-11-07 | 深圳市新城市规划建筑设计股份有限公司 | Intelligent traffic management system and method based on big data |
| CN117012032B (en) * | 2023-09-28 | 2023-12-19 | 深圳市新城市规划建筑设计股份有限公司 | Intelligent traffic management system and method based on big data |
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