CN114694387A - Method and system for tracking automobile track - Google Patents
Method and system for tracking automobile track Download PDFInfo
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- CN114694387A CN114694387A CN202210336310.5A CN202210336310A CN114694387A CN 114694387 A CN114694387 A CN 114694387A CN 202210336310 A CN202210336310 A CN 202210336310A CN 114694387 A CN114694387 A CN 114694387A
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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 technologies, and in particular, to a method and a system for tracking a vehicle trajectory. 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 the following steps: a target request repository; a target validation library; a target registry. The tracking system comprises an information transmission module, a request end, a vehicle end, a control center and a cloud data center. The method supplements the monitoring blind area of the section which does not cover the monitoring camera; through utilizing current vehicle resource, can discern through the vehicle end and upload the control vehicle position automatically, reduce the cooperation cost, improve the degree of accuracy of discernment and pursuit. The monitoring vehicle is rapidly positioned through image recognition and an intelligent networking technology, and compared with the large-scale investigation, the efficiency is greatly improved.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of intelligent transportation technologies, and in particular, to a method and a system for tracking a vehicle trajectory.
Background
With the continuous development and progress of society, vehicles are used more and more. Although the use of vehicles brings great convenience to the life of people, many problems are caused along with the large-scale emergence of vehicles. For example, some drivers have an unequivocal behavior in driving a motor vehicle, and even a serious hit-and-run behavior, so that it is often necessary to find a vehicle involved in the accident. Due to the fact that the number of vehicles is too large, the maneuvering performance of the vehicles is strong, and the target vehicles are identified and found with great workload, low efficiency and low probability of finding the target vehicles.
The current common measures for searching for a target vehicle are as follows: when a certain vehicle running track needs to be monitored, the following measures can be taken at present: monitoring through a video monitoring camera on the road; calling a private camera of a road section which a vehicle may pass through to check videos; pedestrians are investigated on the road segment that the vehicle may travel to determine if a vehicle of a certain license plate number has been seen. The specific mode is as follows: through arranging the video camera on the road, gather the influence video of the vehicle of passing by the road. And displaying on a large monitoring screen in real time. When the running track of a certain vehicle needs to be monitored, the real-time monitoring video needs to be checked manually. After the vehicle is found, the position of the next camera is judged manually according to the driving direction of the vehicle on the road, and then the video image of the next camera is taken. By analogy, video monitoring of one vehicle is realized
The problems with such an approach are: when the vehicle approaches some rural road sections or remote road sections and the like without covering the monitoring camera, the vehicle cannot be monitored; when a private camera of a vehicle passing through a road section is called to check videos, the private camera needs to be matched with the other side. And the situation that the video is automatically covered may occur; when a pedestrian is investigated on a road section that a vehicle may pass through, efficiency is low.
Disclosure of Invention
In view of the above, one or more embodiments of the present disclosure are directed to a method and a system for tracking a vehicle track, so as to solve the problems of low efficiency and difficult monitoring in the prior art.
In view of the above, one or more embodiments of the present disclosure provide a method and system for tracking a car track:
a method for tracking the car track, said method comprises tracing the storehouse and setting up the link, tracing requesting the link, target identification link and tracing the link;
wherein, track storehouse and set for the link and include:
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 the following steps:
first, a request is sent: the requester makes a request for tracking the target vehicle;
and secondly, selecting a category: selecting a corresponding request category from a target request library;
thirdly, verification is carried out: carrying out verification for forming a legal request in a target verification library, and successfully entering a target registration library;
step four, entering a registry: after entering a target registration library, starting a target identification link;
the target identification link comprises a first step of inputting data: inputting identification data of a target vehicle;
and step two, sending an instruction: the control center sends out an instruction to send the identification data of the target vehicle to the vehicle end;
thirdly, starting recognition: the vehicle end starts an identification function, and if a 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 specific steps of the initial tracking stage are as follows:
the first step, upload data: the vehicle end uploads the identified preliminary target data;
and step two, continuously following: the control center receives the related data to carry out continuous follow-up and continuously transmits the positioning data of the vehicle end;
step three, loss reporting: when the target vehicle exceeds the identification range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
step four, judging follow-up: if the control center sends out a signal for stopping tracking, the initial tracking stage is finished; if the control center sends out a continuous tracking signal, the vehicle end identification function is continuously turned on, after a minute, if the vehicle end identification function is identified again, the second step of the stage is continued, and if the vehicle end identification function cannot be identified again, the stage is ended.
The method also comprises a data analysis link, wherein the data analysis link comprises the deep analysis of a cloud end;
the method specifically comprises the following steps:
the first step, uploading cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
step two, storage calculation: the cloud data center continuously stores and calculates the 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 vehicle abnormity reminding requests and vehicle hit-and-run reminding requests; the target verification library comprises picture verification and video verification; the target registry comprises a conventional tracking target, an emergency tracking target and a great emergency tracking target.
The identification equipment adopted in the target identification link is vehicle driving recording equipment of the vehicle, and the acquired identification data comprises license plate number information of the vehicle.
The target identification link comprises the steps that the driving recording equipment identifies the collected real-time road condition pictures, the license plate number part is identified through an algorithm, the identified license plate number is compared with the instruction license plate number, when the comparison fails, the vehicle is abandoned to be identified, new vehicles are continuously identified until the target license plate number is identified, and after the target license plate number is identified, the front vehicles are locked for continuous identification until the target vehicles disappear from the image acquisition range of the driving recording equipment.
The identification equipment adopted in the target identification link is radar equipment of the vehicle, and the acquired identification data comprises the unique characteristic data of the vehicle.
The tracking link further comprises a collaborative tracking stage, wherein the collaborative tracking stage comprises the following steps: at the moment, 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 step three, a vehicle end identification function is performed, after the second tracking vehicle identification is successful, a preliminary tracking stage is started, the preliminary tracking stage is completed, and the tracking link of the vehicle end is finished.
A tracking system 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 components of the system;
wherein, the request end comprises a target request input end, a target verification end for verifying the request and
the vehicle end is used for acquiring position data of a target vehicle; the vehicle end comprises at least one tracking vehicle, and the tracking vehicle comprises a driving recording device of the vehicle;
wherein, the control center is used 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 tracking vehicles, wherein the tracking vehicles comprise a first tracking vehicle and a second tracking vehicle;
the vehicle end collects the position data of the target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center adopts the service cloud to perform data calculation.
As can be seen from the above description, one or more embodiments of the present disclosure provide a method for tracking a car track, which supplements a dead zone of a road segment not covered by a monitoring camera; by the scheme, vehicle resources running on the road can be fully utilized. Vehicles running on the road can utilize the equipment to identify the current vehicle and upload related position signals, so that the tracking of the current vehicle track is realized. Through utilizing current vehicle resource, can discern through the vehicle end and upload control vehicle position automatically, reduce the cooperation cost, improve the degree of accuracy of discernment and pursuit. The monitoring vehicle is rapidly positioned through image recognition and an intelligent networking technology, and compared with the large-scale investigation, the efficiency is greatly improved.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
FIG. 1 is a schematic diagram illustrating a first link of a first embodiment of a method for tracking a vehicle trajectory according to the present disclosure;
FIG. 2 is a schematic diagram of a trace library setup procedure in FIG. 1;
FIG. 3 is a schematic diagram illustrating the steps of tracking a requested link in FIG. 1;
FIG. 4 is a schematic diagram illustrating steps of the target identification process of FIG. 1;
FIG. 5 is a schematic diagram illustrating a preliminary tracking stage of a first embodiment of a method for tracking a vehicle trajectory according to the present disclosure;
FIG. 6 is a schematic diagram illustrating a data analysis procedure in a second embodiment of a method for tracking a vehicle trajectory according to the present disclosure;
FIG. 7 is a schematic diagram illustrating a composition of a target request library in a third embodiment of a method for tracking a vehicle trajectory according to the present disclosure;
FIG. 8 is a schematic diagram illustrating a target verification library according to a third embodiment of the present disclosure;
FIG. 9 is a schematic diagram illustrating a third target registry according to an embodiment of the present disclosure;
fig. 10 is a schematic composition diagram of a seventh embodiment of a tracking system according to the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure more apparent, the present disclosure will be described in further detail below with reference to specific embodiments and the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The word "comprising" or "comprises", and the like, means that the element or item preceding the word comprises the element or item listed after the word and its equivalent, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
An embodiment of a method for tracking a car track according to the present disclosure 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, track storehouse and set for the link and include:
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 the following steps:
first, a request is sent: the requester makes a request for tracking the target vehicle;
and secondly, selecting a category: selecting a corresponding request category from a target request library;
thirdly, verification is carried out: carrying out verification for forming a legal request in a target verification library, and successfully entering a target registration library;
step four, entering a registry: after entering a target registration library, starting a target identification link;
the object recognition link comprises
First, input data: inputting identification data of a target vehicle;
and step two, sending an instruction: the control center sends out an instruction to send the identification data of the target vehicle to the vehicle end;
thirdly, starting recognition: the vehicle end starts an identification function, and if a 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 specific steps of the initial tracking stage are as follows:
the first step, upload data: the vehicle end uploads the identified preliminary target data;
and step two, continuously following: the control center receives the related data to carry out continuous follow-up and continuously transmits the positioning data of the vehicle end;
step three, loss reporting: when the target vehicle exceeds the identification range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
step four, judging follow-up: if the control center sends out a signal for stopping tracking, the initial tracking stage is finished; if the control center sends out a continuous tracking signal, the vehicle end identification function is continuously turned on, after a minute, if the vehicle end identification function is identified again, the second step of the stage is continued, and if the vehicle end identification function cannot be identified again, the stage is ended.
The method for tracking the automobile track supplements a monitoring blind area of a road section which is not covered by a monitoring camera; by the scheme, vehicle resources running on the road can be fully utilized. Vehicles running on the road can utilize the equipment to identify the current vehicle and upload related position signals, so that the tracking of the current vehicle track is realized. Through utilizing current vehicle resource, can discern through the vehicle end and upload control vehicle position automatically, reduce the cooperation cost, improve the degree of accuracy of discernment and pursuit. The monitoring vehicle is rapidly positioned through image recognition and an intelligent networking technology, and compared with the large-scale investigation, the efficiency is greatly improved.
An embodiment of a method for tracking a car track according to the present specification is shown in fig. 6:
the method also comprises a data analysis link, wherein the data analysis link comprises the deep analysis of a cloud end;
the method specifically comprises the following steps:
the first step, uploading cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
step two, storage calculation: the cloud data center continuously stores and calculates the preprocessing data;
thirdly, generating a track: and the cloud data center generates a track of the target vehicle according to the calculation result.
By means of the method, the application capacity is analyzed by means of the strong data of the cloud. 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.
An embodiment of a method for tracking a car track according to the present specification is shown in fig. 7 to 9:
preferably, the target request library comprises vehicle abnormity reminding requests and vehicle hit-and-run reminding requests;
preferably, the target verification library comprises picture verification and video verification;
preferably, the object registry includes regular tracking objects, emergency tracking objects and critical emergency tracking objects.
By setting the target request library, the purpose of tracking can be clarified. Only trace requests that meet the requirements of the target request repository can be received. This prevents some persons from tracking the vehicle for improper reasons, thereby improving the safety of the associated vehicle.
The target verification library is set to be mainly used for verifying the sent request, and the necessity and the authenticity of the request are improved.
And setting a target registry to be mainly used for storing different target classes after the tracking request passes through. And the conventional tracking target, the emergency tracking target and the important emergency tracking target are preferentially tracked according to the current urgency degree of tracking.
An embodiment of a method for tracking a vehicle trajectory according to the present specification is:
the identification equipment adopted in the target identification link is vehicle driving recording equipment of the vehicle, and the acquired identification data comprises license plate number information of the vehicle.
Preferably, the target identification link comprises the steps that the driving recording equipment identifies the collected real-time road condition picture, the license plate number part is identified through an algorithm, the identified license plate number is compared with the instruction license plate number, after the comparison fails, the vehicle is abandoned to be identified, new vehicles continue to be identified until the target license plate number is identified, and after the target license plate number is identified, the front vehicles are locked for continuous identification until the target vehicle disappears from the image collection range of the driving recording equipment.
According to the technical scheme, the target license plate number of the front vehicle is identified to perform relevant identification so as to perform corresponding tracking.
Fifth embodiment of a method for tracking a trajectory of a vehicle according to the present description:
preferably, the identification device used in the target identification link is a radar device of a vehicle, and the collected identification data includes vehicle specific characteristic data.
According to the technical scheme, the radar equipment is used for identifying the target vehicle, and the radar equipment detects the characteristics of the front vehicle according to the characteristics of the front vehicle and compares the characteristics with the characteristic data of the current vehicle so as to identify the corresponding target vehicle.
An embodiment six of the method for tracking the trajectory of the vehicle of the present specification:
the tracking link further comprises a collaborative tracking stage, wherein the collaborative tracking stage comprises the following steps: at the moment, 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 step three, a vehicle end identification function is performed, after the second tracking vehicle identification is successful, a preliminary tracking stage is started, the preliminary tracking stage is completed, and the tracking link of the vehicle end is finished.
The scheme can be used for cooperatively tracking multiple vehicles, and because the force of a single vehicle is limited after all, vehicle resources on the road are integrated, so that the tracking efficiency and accuracy can be greatly improved by utilizing the resources. And the action track of the target vehicle is more detailed and comprehensive due to the participation of multiple vehicles.
A seventh embodiment of the tracking system of the present specification is shown in fig. 10:
a tracking system 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 components of the system;
wherein, the request end comprises a target request input end, a target verification end for verifying the request and
the vehicle end is used for acquiring position data of a target vehicle; the vehicle end comprises at least one tracking vehicle, and the tracking vehicle comprises a driving recording device of the vehicle;
wherein, the control center is used as the 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 of the tracking system of this specification is eight:
preferably, the vehicle end comprises two tracking vehicles, and the tracking vehicles comprise a first tracking vehicle and a second tracking vehicle;
the vehicle end collects the position data of the target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center adopts the service cloud to perform data calculation.
It should be noted that the method of one or more embodiments of the present disclosure may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The system of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
Furthermore, the description and discussion are intended to be simplified and not to obscure the description of one or more embodiments.
Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., 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 will be apparent to one skilled in the art that one or more embodiments of the disclosure may be practiced without, or with variation of, these specific details.
Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (9)
1. A method for tracking the automobile track is characterized in that the method comprises a tracking library setting link, a tracking request link, a target identification link and a tracking link;
wherein, track storehouse and set for the link and include:
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 the following steps:
first, a request is sent: the requester makes a request for tracking the target vehicle;
and secondly, selecting a category: selecting a corresponding request category from a target request library;
thirdly, verification is carried out: carrying out verification for forming a legal request in a target verification library, and successfully entering a target registration library;
step four, entering a registry: after entering a target registration library, starting a target identification link;
the target identification link comprises a first step of inputting data: inputting identification data of a target vehicle;
and step two, sending an instruction: the control center sends out an instruction to send the identification data of the target vehicle to the vehicle end;
thirdly, starting recognition: the vehicle end starts an identification function, and if a 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 specific steps of the initial tracking stage are as follows:
the first step, uploading data: the vehicle end uploads the identified preliminary target data;
and step two, continuously following: the control center receives the related data to carry out continuous follow-up and continuously transmits the positioning data of the vehicle end;
thirdly, reporting loss: when the target vehicle exceeds the identification range of the vehicle end, the vehicle end reports the loss information of the target vehicle of the control center;
step four, judging follow-up: if the control center sends out a signal for stopping tracking, the initial tracking stage is finished; if the control center sends out a continuous tracking signal, the vehicle end identification function is continuously turned on, after a minute, if the vehicle end identification function is identified again, the second step of the stage is continued, and if the vehicle end identification function cannot be identified again, the stage is ended.
2. The method of claim 1, further comprising a data analysis step, wherein the data analysis step comprises a cloud-based depth analysis;
the method specifically comprises the following steps:
the first step, uploading cloud: the control center transmits the preprocessing data acquired by the vehicle end to the cloud data center;
and step two, storing and calculating: the cloud data center continuously stores and calculates the 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 vehicular tracks according to claim 2, wherein said target request library comprises vehicular abnormal alert requests, vehicular hit-and-run alert requests; the target verification library comprises picture verification and video verification; the target registry comprises a conventional tracking target, an emergency tracking target and a great emergency tracking target.
4. The method for tracking the automobile track according to claim 1, wherein the identification device adopted in the target identification link is a driving recording device of the automobile, and the collected identification data comprises license plate number information of the automobile.
5. The method for tracking the automobile track according to claim 4, wherein the target identification link comprises the steps that the driving recording equipment identifies the collected real-time road condition picture, the license plate number part is identified through an algorithm, the identified license plate number is compared with the instruction license plate number, when the comparison fails, the vehicle is abandoned and identified, new vehicles are continuously identified until the target license plate number is identified, and after the target license plate number is identified, the front vehicle is locked for continuous identification until the target vehicle disappears from the image collection range of the driving recording equipment.
6. The method for tracking the automobile track according to claim 1, wherein the identification device adopted in the target identification link is a radar device of the automobile, and the collected identification data comprises characteristic data specific to the automobile.
7. The method for tracking the automobile trajectory according to claim 1, wherein the tracking link further comprises a cooperative tracking phase, the cooperative tracking phase comprising: at the moment, 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 step three, a vehicle end identification function is performed, after the second tracking vehicle identification is successful, a preliminary tracking stage is started, the preliminary tracking stage is completed, and the tracking link of the vehicle end is finished.
8. The tracking system comprises an information transmission module and is characterized by further comprising 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 components of the system; wherein, the request end comprises a target request input end, a target verification end for verifying the request and
the vehicle end is used for acquiring position data of a target vehicle; the vehicle end comprises at least one tracking vehicle, and the tracking vehicle comprises a driving recording device of the vehicle;
wherein, the control center is used 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. A tracking system according to claim 8,
the vehicle end comprises two tracking vehicles, wherein the tracking vehicles comprise a first tracking vehicle and a second tracking vehicle;
the vehicle end acquires the position data of a target vehicle, including GPS data;
the control center adopts computer equipment;
and the cloud data control center adopts the service cloud to perform data calculation.
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