CN114694387B - Method and system for tracking automobile track - Google Patents
Method and system for tracking automobile track Download PDFInfo
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- CN114694387B CN114694387B CN202210336310.5A CN202210336310A CN114694387B CN 114694387 B CN114694387 B CN 114694387B CN 202210336310 A CN202210336310 A CN 202210336310A CN 114694387 B CN114694387 B CN 114694387B
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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
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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Abstract
One or more embodiments of the present disclosure relate to the field of intelligent traffic technology, and more particularly, to a method and system for tracking a track of an automobile. The method comprises a tracking library setting link, a tracking request link, a target identification link and a tracking link; the tracking library setting link comprises: a target request library; a target verification library; a target registry. The system comprises an information transmission module, a request end, a vehicle end, a control center and a cloud data center. The method supplements a monitoring blind area of a road section not covered by the monitoring camera; by utilizing the existing vehicle resources, the vehicle position can be automatically uploaded and monitored by the vehicle end for identification, so that the matching cost is reduced, and the accuracy of identification and tracking is improved. The vehicle is rapidly positioned and monitored through the image recognition and intelligent networking technology, and compared with the large-scale investigation efficiency is greatly improved.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of intelligent traffic technology, and more particularly, to a method and system for tracking a track of an automobile.
Background
With the continuous development and progress of society, vehicles are increasingly used. While the use of vehicles brings great convenience to people's life, at the same time, along with the large-scale emergence of vehicles, a number of problems are caused. For example, some drivers have a non-civilized behavior in driving a motor vehicle, even a serious hit-and-run behavior, and thus it is often necessary to find out the involved vehicle. Because of the excessive number of vehicles, the motor performance of the vehicle is strong, the workload of identifying and finding the target vehicle is huge, the efficiency is low, and the probability of finding the target vehicle is very small.
The usual measures taken to find the target vehicle at present are: when a certain vehicle driving track needs to be monitored, the following measures can be taken at present: monitoring by a video monitoring camera on the passage way; calling a private camera of a road section through which the vehicle possibly passes to view video; pedestrians are investigated on the road section through which the vehicle may pass to determine whether a license plate number vehicle is seen. The specific method is as follows: and acquiring the influence video of the passing vehicles on the road through video cameras arranged on the road. And displayed in real time on a large monitor screen. When the running track of a certain vehicle needs to be monitored, the real-time monitoring video needs to be checked manually. When the vehicle is found, the position of the next camera is judged manually through the running direction of the vehicle on the road, and then the video image of the next camera is called. And by analogy, video monitoring of one vehicle is realized.
The problems with this approach are: when the vehicle approaches some rural sections or remote sections and the like do not cover the monitoring camera sections, the monitoring of the vehicle cannot be realized; when calling the private camera of the road section where the vehicle passes to check the video, the other party needs to cooperate. And the situation that the video is automatically covered is possible to occur; the efficiency is relatively low when the pedestrian is investigated on a road section through which the vehicle may pass.
Disclosure of Invention
In view of the foregoing, it is an object of one or more embodiments of the present disclosure to provide a method and a system for tracking a track of an automobile, so as to solve the problems of inefficiency and difficulty in monitoring existing in the prior art.
In view of the above objects, one or more embodiments of the present disclosure provide a method and system for tracking a track of an automobile:
a method for tracking the track of an automobile comprises a track library setting link, a track request link, a target identification link and a track link;
wherein, the track library setting link includes:
establishing a target request library for tracking different situations;
establishing a target verification library aiming at different situation verification categories;
establishing a tracked target registry;
the tracking request link comprises:
first, a request is sent: the method comprises the steps that a request party makes a request for tracking a target vehicle;
second, selecting the category: selecting a corresponding request category in a target request library;
thirdly, verifying: verifying the legal request in a target verification library, wherein the verification is successful in entering the target registration library;
fourth, entering a registry: after entering a target registry, starting a target identification link;
the target recognition link includes a first step of inputting data: inputting identification data of a target vehicle;
second, an instruction is sent: the control center sends an instruction to send the identification data of the target vehicle to the vehicle end;
third, starting identification: the vehicle end starts the identification function, and if the target vehicle is identified, the next link is entered; if the target vehicle is not identified, the step is circulated;
the tracking link comprises a preliminary tracking stage:
the preliminary tracking stage comprises the following specific steps:
step one, uploading data: the vehicle end uploads the identified primary target data;
and secondly, continuously following: the control center receives the related data to continuously follow up, and continuously transmits the positioning data of the vehicle end;
thirdly, missing report: when the target vehicle exceeds the recognition range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
fourth, judging the following steps: if the control center sends out a tracking stopping signal, the preliminary tracking stage is ended; if the control center sends out a continuous tracking signal, the vehicle end recognition function is continuously started, after the time of a minutes, if the vehicle end recognition function is recognized again, the second step of the stage is continued, and if the vehicle end recognition function cannot be recognized again, the stage is ended.
The method also comprises a data analysis link, wherein the link comprises deep analysis of the cloud;
the method specifically comprises the following steps:
first, uploading the cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
second, store and calculate: the cloud data center continuously stores and calculates preprocessing data;
thirdly, generating a track: and the cloud data center generates a track of the target vehicle according to the calculation result.
The target request library comprises a vehicle abnormal reminding request and a vehicle accident reminding request; the target verification library comprises picture verification and video verification; the target registry includes conventional tracking targets, emergency tracking targets, and significant emergency tracking targets.
The identification equipment adopted in the target identification link is driving recording equipment of the vehicle, and the collected identification data comprises license plate number information of the vehicle.
The target recognition link comprises a step of recognizing a license plate number part through an algorithm by the driving recording equipment through the acquired real-time road condition picture, comparing the recognized license plate number with an instruction license plate number, discarding the vehicle after the comparison fails, continuing to recognize a new vehicle until the target license plate number is recognized, and locking the front vehicle for continuous recognition until the target vehicle disappears from the image acquisition range of the driving recording equipment after the target license plate number is recognized.
The identification equipment adopted in the target identification link is radar equipment of the vehicle, and the collected identification data comprises characteristic data of the vehicle.
The tracking link further includes a collaborative tracking phase, where the collaborative tracking phase includes: at this time, the vehicle end at least comprises a first tracking vehicle and a second tracking vehicle;
the method comprises the following steps:
step one, when a target vehicle exceeds the identification range of a first tracking vehicle, the first tracking vehicle reports an assistance signal to a control center;
step two, the control center receives the assistance signal and sends an identification instruction to the vehicle end;
and thirdly, a vehicle end recognition function, after the second tracking vehicle is successfully recognized, starting a preliminary tracking stage, and finishing the preliminary tracking stage, wherein the tracking link of the vehicle end is finished.
The system for tracking the automobile track comprises an information transmission module, a request end, a vehicle end, a control center and a cloud data center;
the information transmission module is used for signal communication among all the components of the system;
the request end comprises a target request input end and a target verification end for verifying the request;
the vehicle end is used for collecting position data of a target vehicle; the vehicle end comprises at least one tracked vehicle, and the tracked vehicle comprises a vehicle driving recording device of the vehicle;
the control center serves as a control center of the whole system to play a command role;
the cloud data control center is used for analyzing data and generating a position track.
The vehicle end comprises two tracked vehicles, and the tracked vehicles comprise a first tracked vehicle and a second tracked vehicle;
the vehicle end acquires position data of a target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center performs data calculation by adopting a service cloud.
As can be seen from the foregoing, one or more embodiments of the present disclosure provide a method for tracking a track of an automobile, which supplements a monitoring blind area of a road section not covered by a monitoring camera; by the scheme, the vehicle resources running on the road can be fully utilized. The vehicle running on the road can identify the current vehicle by using the device and upload related position signals, so that the track of the current vehicle is tracked. By utilizing the existing vehicle resources, the vehicle position can be automatically uploaded and monitored by the vehicle end for identification, so that the matching cost is reduced, and the accuracy of identification and tracking is improved. The vehicle is rapidly positioned and monitored through the image recognition and intelligent networking technology, and compared with the large-scale investigation efficiency is greatly improved.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only one or more embodiments of the present description, from which other drawings can be obtained, without inventive effort, for a person skilled in the art.
FIG. 1 is a schematic diagram of a first embodiment of a method for tracking a track of an automobile;
FIG. 2 is a schematic diagram of a trace repository configuration link in FIG. 1;
FIG. 3 is a schematic diagram illustrating steps of tracking a request link in FIG. 1;
FIG. 4 is a schematic diagram illustrating steps of the object recognition link in FIG. 1;
FIG. 5 is a schematic step diagram illustrating a preliminary tracking stage of a first embodiment of a method for tracking a vehicle track according to the present disclosure;
FIG. 6 is a schematic diagram illustrating steps of a data analysis step in a second embodiment of a method for tracking a track of an automobile according to the present disclosure;
FIG. 7 is a schematic diagram illustrating the composition of a target request library in a third embodiment of a method for tracking a trajectory of a vehicle according to the present disclosure;
FIG. 8 is a schematic diagram illustrating the composition of a target verification library in a third embodiment of a method for tracking a trajectory of an automobile according to the present disclosure;
FIG. 9 is a schematic diagram showing the composition of a target registry in a third embodiment of a method for tracking a trajectory of an automobile according to the present disclosure;
fig. 10 is a schematic diagram of a seventh embodiment of a system for tracking a track of an automobile according to the present disclosure.
Detailed Description
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.
It is noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present disclosure should be taken in a general sense as understood by one of ordinary skill in the art to which the present disclosure pertains. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
An embodiment one of a method of tracking a track of an automobile of the present specification is shown in fig. 1 to 5:
the method comprises a tracking library setting link, a tracking request link, a target identification link and a tracking link;
wherein, the track library setting link includes:
establishing a target request library for tracking different situations;
establishing a target verification library aiming at different situation verification categories;
establishing a tracked target registry;
the tracking request link comprises:
first, a request is sent: the method comprises the steps that a request party makes a request for tracking a target vehicle;
second, selecting the category: selecting a corresponding request category in a target request library;
thirdly, verifying: verifying the legal request in a target verification library, wherein the verification is successful in entering the target registration library;
fourth, entering a registry: after entering a target registry, starting a target identification link;
the target recognition link comprises
First, inputting data: inputting identification data of a target vehicle;
second, an instruction is sent: the control center sends an instruction to send the identification data of the target vehicle to the vehicle end;
third, starting identification: the vehicle end starts the identification function, and if the target vehicle is identified, the next link is entered; if the target vehicle is not identified, the step is circulated;
the tracking link comprises a preliminary tracking stage:
the preliminary tracking stage comprises the following specific steps:
step one, uploading data: the vehicle end uploads the identified primary target data;
and secondly, continuously following: the control center receives the related data to continuously follow up, and continuously transmits the positioning data of the vehicle end;
thirdly, missing report: when the target vehicle exceeds the recognition range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
fourth, judging the following steps: if the control center sends out a tracking stopping signal, the preliminary tracking stage is ended; if the control center sends out a continuous tracking signal, the vehicle end recognition function is continuously started, after the time of a minutes, if the vehicle end recognition function is recognized again, the second step of the stage is continued, and if the vehicle end recognition function cannot be recognized again, the stage is ended.
According to the method for tracking the automobile track, the monitoring blind area of the road section which is not covered by the monitoring camera is supplemented; by the scheme, the vehicle resources running on the road can be fully utilized. The vehicle running on the road can identify the current vehicle by using the device and upload related position signals, so that the track of the current vehicle is tracked. By utilizing the existing vehicle resources, the vehicle position can be automatically uploaded and monitored by the vehicle end for identification, so that the matching cost is reduced, and the accuracy of identification and tracking is improved. The vehicle is rapidly positioned and monitored through the image recognition and intelligent networking technology, and compared with the large-scale investigation efficiency is greatly improved.
A second embodiment of a method for tracking a track of an automobile according to the present disclosure is shown in fig. 6:
the method also comprises a data analysis link, wherein the link comprises deep analysis of the cloud;
the method specifically comprises the following steps:
first, uploading the cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
second, store and calculate: the cloud data center continuously stores and calculates preprocessing data;
thirdly, generating a track: and the cloud data center generates a track of the target vehicle according to the calculation result.
Through setting, the method analyzes application capacity by means of powerful cloud data. The track of the target vehicle is generated, so that the cost is saved, the utilization rate of related data is improved, and the accuracy of the track is further improved.
A third embodiment of a method of tracking a vehicle track of the present disclosure is shown in fig. 7-9:
preferably, the target request library comprises a vehicle abnormality reminding request and a vehicle accident reminding request;
preferably, the target verification library comprises picture verification and video verification;
preferably, the target registry includes a regular tracking target, an emergency tracking target, and a significant emergency tracking target.
By setting the target request library, the tracking purpose can be clarified. Only trace requests meeting the target request library requirements can be received. Thus, a part of personnel can be prevented from illegally tracing the vehicle, and the safety of the related vehicle is improved.
The target verification library is mainly used for verifying the sent request, and the necessity and the authenticity of the request are improved.
The target register is mainly used for storing different target classes after the tracking request passes. The conventional tracking target, the urgent tracking target and the important urgent tracking target are tracked preferentially according to the current urgency of tracking.
An embodiment four of a method of tracking a trajectory of an automobile of the present specification:
the identification equipment adopted in the target identification link is driving recording equipment of the vehicle, and the collected identification data comprises license plate number information of the vehicle.
Preferably, the target recognition link comprises a step of recognizing the acquired real-time road condition picture by the driving recording equipment through an algorithm, comparing the recognized license plate number with the command license plate number, discarding the vehicle after the comparison fails, continuing to recognize the new vehicle until the target license plate number is recognized, and locking the front vehicle for continuous recognition until the target vehicle disappears from the image acquisition range of the driving recording equipment after the target license plate number is recognized.
According to the technical scheme, the target license plate number of the front vehicle is identified for relevant identification, so that corresponding tracking is performed.
An embodiment five of a method of tracking a trajectory of an automobile of the present specification:
preferably, the identification device adopted in the target identification link is a radar device of the vehicle, and the collected identification data comprises characteristic data of the vehicle.
According to the technical scheme, the radar equipment is used for identifying the target vehicle, and the radar equipment detects the characteristic of the front vehicle according to the characteristic of the radar equipment and compares the characteristic data of the current vehicle so as to identify the corresponding target vehicle.
An embodiment six of a method of tracking a trajectory of an automobile of the present specification:
the tracking link further includes a collaborative tracking phase, where the collaborative tracking phase includes: at this time, the vehicle end at least comprises a first tracking vehicle and a second tracking vehicle;
the method comprises the following steps:
step one, when a target vehicle exceeds the identification range of a first tracking vehicle, the first tracking vehicle reports an assistance signal to a control center;
step two, the control center receives the assistance signal and sends an identification instruction to the vehicle end;
and thirdly, a vehicle end recognition function, after the second tracking vehicle is successfully recognized, starting a preliminary tracking stage, and finishing the preliminary tracking stage, wherein the tracking link of the vehicle end is finished.
According to the scheme, the cooperative tracking of multiple vehicles is carried out, and because the power of a single vehicle is limited after all, the utilization of the resources can greatly improve the tracking efficiency and accuracy by integrating the vehicle resources on the road. And the action track of the target vehicle is more detailed and comprehensive due to the participation of multiple vehicles.
A seventh embodiment of a system for tracking a track of an automobile according to the present disclosure is shown in fig. 10:
the system for tracking the automobile track comprises an information transmission module, a request end, a vehicle end, a control center and a cloud data center;
the information transmission module is used for signal communication among all the components of the system;
the request end comprises a target request input end and a target verification end for verifying the request;
the vehicle end is used for collecting position data of a target vehicle; the vehicle end comprises at least one tracked vehicle, and the tracked vehicle comprises a vehicle driving recording device of the vehicle;
the control center serves as a control center of the whole system to play a command role;
the cloud data control center is used for analyzing data and generating a position track.
An embodiment eight of the system for tracking a vehicle track of the present specification:
preferably, the vehicle end comprises two tracked vehicles, and the tracked vehicles comprise a first tracked vehicle and a second tracked vehicle;
the vehicle end acquires position data of a target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center performs data calculation by adopting a service cloud.
It should be noted that the methods of one or more embodiments of the present description may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of one or more embodiments of the present description, the devices interacting with each other to accomplish the methods.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in one or more pieces of software and/or hardware when implementing one or more embodiments of the present description.
The system of the foregoing embodiment is configured to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the disclosure, including the claims, is limited to these examples; combinations of features of the above embodiments or in different embodiments are also possible within the spirit of the present disclosure, steps may be implemented in any order, and there are many other variations of the different aspects of one or more embodiments described above which are not provided in detail for the sake of brevity.
Additionally, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the present description.
Furthermore, the apparatus may be shown in block diagram form in order to avoid obscuring the one or more embodiments of the present description, and also in view of the fact that specifics with respect to implementation of such block diagram apparatus are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., such specifics should be well within purview of one skilled in the art).
Where specific details are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details.
Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description.
The present disclosure is intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Any omissions, modifications, equivalents, improvements, and the like, which are within the spirit and principles of the one or more embodiments of the disclosure, are therefore intended to be included within the scope of the disclosure.
Claims (9)
1. The method for tracking the automobile track is characterized by comprising a tracking library setting link, a tracking request link, a target identification link and a tracking link;
wherein, the track library setting link includes:
establishing a target request library for tracking different situations;
establishing a target verification library aiming at different situation verification categories;
establishing a tracked target registry;
the tracking request link comprises:
first, a request is sent: the method comprises the steps that a request party makes a request for tracking a target vehicle;
second, selecting the category: selecting a corresponding request category in a target request library;
thirdly, verifying: verifying the legal request in a target verification library, wherein the verification is successful in entering the target registration library;
fourth, entering a registry: after entering a target registry, starting a target identification link;
the target recognition link includes a first step of inputting data: inputting identification data of a target vehicle;
second, an instruction is sent: the control center sends an instruction to send the identification data of the target vehicle to the vehicle end;
third, starting identification: the vehicle end starts the identification function, and if the target vehicle is identified, the next link is entered; if the target vehicle is not identified, the step is circulated;
the tracking link comprises a preliminary tracking stage:
the preliminary tracking stage comprises the following specific steps:
step one, uploading data: the vehicle end uploads the identified primary target data;
and secondly, continuously following: the control center receives the related data to continuously follow up, and continuously transmits the positioning data of the vehicle end;
thirdly, missing report: when the target vehicle exceeds the recognition range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
fourth, judging the following steps: if the control center sends out a tracking stopping signal, the preliminary tracking stage is ended; if the control center sends out a continuous tracking signal, the vehicle end recognition function is continuously started, after the time of a minutes, if the vehicle end recognition function is recognized again, the second step of the stage is continued, and if the vehicle end recognition function cannot be recognized again, the stage is ended.
2. The method of claim 1, further comprising a data analysis step comprising a deep analysis of the cloud;
the method specifically comprises the following steps:
first, uploading the cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
second, store and calculate: the cloud data center continuously stores and calculates preprocessing data;
thirdly, generating a track: and the cloud data center generates a track of the target vehicle according to the calculation result.
3. The method for tracking vehicle trajectories according to claim 2, wherein said target request library comprises a vehicle anomaly alert request, a vehicle hit alert request; the target verification library comprises picture verification and video verification; the target registry includes conventional tracking targets, emergency tracking targets, and significant emergency tracking targets.
4. The method of tracking a vehicle track according to claim 1, wherein the identification device used in the target identification step is a vehicle driving recording device of a vehicle, and the collected identification data includes license plate number information of the vehicle.
5. The method according to claim 4, wherein the target recognition step includes the step of the vehicle recording device recognizing the acquired real-time road condition picture, recognizing the license plate number part through the algorithm, recognizing the license plate number and commanding the license plate number to be compared, discarding the recognition of the vehicle after the comparison fails, continuing to recognize the new vehicle until the target license plate number is recognized, and locking the preceding vehicle for continuous recognition until the target vehicle disappears from the image acquisition range of the vehicle recording device after the target license plate number is recognized.
6. The method of tracking a vehicle track according to claim 1, wherein the identification device employed in the target identification step is a radar device of the vehicle, and the collected identification data includes characteristic data specific to the vehicle.
7. The method of claim 1, wherein the tracking link further comprises a collaborative tracking phase, the collaborative tracking phase comprising: at this time, the vehicle end at least comprises a first tracking vehicle and a second tracking vehicle;
the method comprises the following steps:
step one, when a target vehicle exceeds the identification range of a first tracking vehicle, the first tracking vehicle reports an assistance signal to a control center;
step two, the control center receives the assistance signal and sends an identification instruction to the vehicle end;
and thirdly, a vehicle end recognition function, after the second tracking vehicle is successfully recognized, starting a preliminary tracking stage, and finishing the preliminary tracking stage, wherein the tracking link of the vehicle end is finished.
8. A system for tracking a vehicle track according to the method of any one of claims 1 to 7, comprising an information transmission module, wherein the system further comprises a request end, a vehicle end, a control center, a cloud data center;
the information transmission module is used for signal communication among all the components of the system;
the request end comprises a target request input end and a target verification end for verifying the request;
the vehicle end is used for collecting position data of a target vehicle; the vehicle end comprises at least one tracked vehicle, and the tracked vehicle comprises a vehicle driving recording device of the vehicle;
the control center serves as a control center of the whole system to play a command role;
the cloud data control center is used for analyzing data and generating a position track.
9. The system for tracking a vehicle's trajectory as claimed in claim 8,
the vehicle end comprises two tracked vehicles, and the tracked vehicles comprise a first tracked vehicle and a second tracked vehicle;
the vehicle end acquires position data of a target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center performs data calculation by adopting a service cloud.
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