CN114694416A - Violation vehicle avoidance method and avoidance system based on cloud server - Google Patents
Violation vehicle avoidance method and avoidance system based on cloud server Download PDFInfo
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Abstract
The invention discloses a violation vehicle avoidance system based on a cloud server, which comprises a cloud violation vehicle identification and management platform, a violation vehicle information database and a violation vehicle identification and avoidance system, wherein the cloud violation vehicle identification and management platform is connected with the violation vehicle information database; the cloud-side violation vehicle identification and management platform acquires real-time regional road traffic information and surrounding vehicle information uploaded by a violation vehicle identification and avoidance system, analyzes vehicle identity information according to the information, judges the danger level of the violation vehicle and the actual possible violation behaviors by inquiring a violation vehicle information database, generates an avoidance strategy, and issues the avoidance strategy to the violation vehicle identification and avoidance system for avoidance; and the violation vehicle identification and avoidance system also feeds back the real-time avoidance effect to the cloud violation vehicle identification and management platform. The invention further provides a violation vehicle avoidance method based on the cloud server. The invention is a forward management scheme, and can reduce the damage of traffic violation vehicles to running vehicles.
Description
Technical Field
The invention belongs to the field of vehicle control, and particularly relates to a violation vehicle avoidance method and avoidance system based on a cloud server.
Background
With the development of urban construction and the improvement of the living standard of people, the number of urban road vehicles increases in a geometric manner. Along with the higher automobile holding amount, traffic accidents caused by vehicle violation are more and more, and great hidden dangers are brought to the traveling and safety of the whole people. When the dangerous driving behaviors of the current violation vehicles cause damage to the surroundings, the current violation vehicles are mainly avoided by the surrounding vehicles. This has very high requirements on the timeliness of the response of the surrounding vehicle and the driving skill of the vehicle driver, and is difficult to achieve in practice. At present, monitoring cameras are installed at all important visual angles of roads, and traffic management departments also increase the punishment force of violation. However, the above-mentioned methods all belong to post-generation management for the management of violation behaviors, i.e. remedial management performed after the occurrence of an event and the damage have occurred, and thus loss cannot be avoided.
Patent application with publication number CN109949573A discloses a vehicle violation monitoring method, which comprises the following steps: receiving the driving video information and road condition information of the front vehicle sent by the vehicle-mounted camera structure; determining the running condition and the license plate number of the front vehicle according to the running video information of the front vehicle; judging whether the front vehicle breaks rules or not according to the road condition information and the running condition of the front vehicle; the violation comprises a solid line lane change violation and/or an unconveniled pedestrian violation and/or an overspeed violation; and if the vehicle breaks rules, sending the license plate number of the front vehicle and the running video information of the front vehicle to the vehicle management server. The method is used for real-time monitoring and recording of the violation behaviors, cannot prevent damage caused by the violation behaviors, can only be used as a supplementary technology for managing the violation vehicles in a public traffic management system, and still belongs to a post-issuing management type technical scheme. There is no safety protection for the vehicle itself.
Disclosure of Invention
The invention aims to provide a violation vehicle avoidance method and an avoidance system based on a cloud server, wherein the avoidance method and the avoidance system are a forward management scheme and can reduce the damage of traffic violation vehicles to running vehicles.
The technical scheme adopted by the invention is as follows:
a violation vehicle avoidance system based on a cloud server comprises a cloud server end and a vehicle end, wherein the cloud server end and the vehicle end are communicated in a wireless mode;
the cloud server side comprises a cloud illegal vehicle identification and management platform and an illegal vehicle information database;
the vehicle end comprises a violation vehicle identification and avoidance system;
the violation vehicle identification and avoidance system senses current regional road traffic information and surrounding vehicle information in real time, summarizes the real-time information and uploads the real-time information to the cloud violation vehicle identification and management platform; the cloud-side violation vehicle identification and management platform acquires current regional road traffic information and surrounding vehicle information, analyzes vehicle identity information according to the information, judges the danger level and the actual possible violation behaviors of the violation vehicles by inquiring a violation vehicle information database, generates an avoidance strategy and issues the avoidance strategy to a violation vehicle identification and avoidance system for avoidance; the violation vehicle identification and avoidance system also feeds back the real-time avoidance effect to the cloud violation vehicle identification and management platform to complete strategy closed loop and optimization.
The cloud illegal vehicle identification and management platform comprises a road section area illegal vehicle selection system and an illegal vehicle avoidance strategy library;
the road section area violation vehicle selection system acquires current area road section traffic information and surrounding vehicle information transmitted by a vehicle terminal, analyzes vehicle identity information according to the information, and judges whether the vehicle frequently violates rules and often violates the rules and regulations, and which road sections are easy to violate the rules and the dangerous conditions caused to surrounding vehicles after violating the rules and regulations after acquiring the vehicle violation information by reversely inquiring a violation vehicle information database to generate the dangerous grade of the vehicle; then, analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information;
the violation vehicle avoidance strategy library receives the danger level transmitted by the violation vehicle selection system in the road section area, the possible violation behaviors generated by the vehicle and the current traffic information transmitted by the violation vehicle identification and avoidance system, makes an avoidance strategy and issues the avoidance strategy to the violation vehicle identification and avoidance system for avoidance; and the violation vehicle avoidance strategy library receives the real-time avoidance effect feedback information transmitted by the violation vehicle identification and avoidance system, and perfects the violation vehicle avoidance strategy library.
According to a further scheme, the violation vehicle avoidance strategy library is used for generating a real-time avoidance strategy from the strategy library, the scene library and the avoidance action model library in a matching mode according to input information.
The further scheme is that the generation of the strategy base is strategy accumulation completed by deep learning of a mass data set based on past historical big data;
the scene library is generated based on the accumulation of historical scenes and the training of real data;
the avoidance action model library is obtained based on feedback of real-time avoidance effect and accumulation of historical data;
the three are continuously perfected through massive real-time data verification and optimization at the cloud.
The system for identifying and avoiding the violation vehicles comprises a road section environment perception subsystem and an avoidance strategy planning control subsystem;
the road section environment sensing subsystem receives real-time environment traffic information transmitted by each sensing device, summarizes the information and then respectively transmits the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of the terminal violation vehicle identification and management platform;
the avoidance strategy planning control subsystem receives an avoidance strategy transmitted from the violation vehicle avoidance strategy library, plans a real-time driving path, and transmits an execution command of the avoidance strategy to the actuator to complete avoidance; and the avoidance strategy planning control subsystem also feeds back the real-time avoidance effect to the violation vehicle avoidance strategy library of the violation vehicle identification and management platform.
According to a further scheme, the real-time environment traffic information comprises vehicle information, position information, traffic signals and weather environment information.
In a further aspect, the violation vehicle information database is provided by a traffic management department that includes historical violation records for various types of vehicles within the administrative jurisdiction.
According to a further scheme, the sensing equipment comprises a laser radar, a millimeter wave radar, an ultrasonic radar, a front camera, a rear camera, a look-around camera and a monitoring camera.
According to a further scheme, the vehicle information comprises a license plate, color, vehicle type, distance and direction.
The invention also provides a violation vehicle avoidance method based on the cloud server, which adopts the violation vehicle avoidance system based on the cloud server and comprises the following steps:
receiving real-time environmental traffic information transmitted by each sensing device through a road section environmental sensing subsystem, summarizing the information, and respectively transmitting the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of a terminal violation vehicle identification and management platform;
receiving real-time traffic information provided by a vehicle end road section environment sensing subsystem through a road section area violation vehicle selection system, extracting the identity information of all identifiable vehicles from the real-time traffic information, selecting a plurality of target vehicles which are possibly harmful from the identity information, and submitting the identity information of the target vehicles to a violation vehicle information database so as to obtain violation records of related vehicles; judging whether the vehicle often breaks rules and regulations, which types of violation rules and regulations are often violated, which road sections are easy to break rules and dangerous conditions caused to surrounding vehicles after the violation rules and regulations are violated according to the violation records to generate a dangerous grade of the vehicle; then, analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information;
receiving the danger level and possibly generated violation behaviors transmitted by the violation vehicle selection system in the road section area and current traffic information transmitted by the violation vehicle identification and avoidance system through a violation vehicle avoidance strategy library, making an avoidance strategy, and issuing the avoidance strategy to the violation vehicle identification and avoidance system for avoidance;
receiving an avoidance strategy transmitted from the violation vehicle avoidance strategy library through an avoidance strategy planning control subsystem, planning a real-time driving path, and issuing an execution command of the avoidance strategy to an actuator to complete avoidance;
and the avoidance strategy planning control subsystem feeds back the real-time avoidance effect to the violation vehicle avoidance strategy library of the violation vehicle identification and management platform.
The invention has the following beneficial effects:
by introducing the information resource of the cloud big data and the high computing capacity and training capacity of the cloud, the avoiding capacity of the vehicle in the face of damage of the violation vehicle is greatly enhanced, traffic accidents can be effectively reduced, and the safety of normal vehicles is guaranteed;
the invention has high instantaneity, high effectiveness and high safety, can reduce the occurrence of traffic accidents and reduce the safety risk of travel;
through continuous real-time avoidance effect feedback, deep learning training can be completed, a large amount of prior data can be generated, and reliable avoidance strategy matching is continuously and effectively provided for normally running vehicles, namely the data of the violation vehicle avoidance strategy library is continuously improved, an avoidance strategy is more favorably generated, and traffic accidents are more effectively prevented;
with the assistance of cloud computing, a short board of the vehicle-end equipment for processing the computing capacity of intelligent avoidance is reduced, and the implementation cost of a single vehicle is reduced;
the requirements on the driving technology of a driver in the process of avoiding the violation vehicles can be greatly reduced, and the driver can be pre-judged in advance and guided to make correct operation in advance, so that the risk of traffic accidents is reduced;
not only be applicable to a platform truck, can also be applicable to many platform trucks and dodge simultaneously.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a block diagram of a violation vehicle avoidance system based on a cloud server;
FIG. 2 is a schematic structural diagram of a violation vehicle avoidance system based on a cloud server;
FIG. 3 is a schematic structural diagram of a cloud violation vehicle identification and management platform;
FIG. 4 is a schematic diagram of the operation of a road segment area violation vehicle selection system;
FIG. 5 is a schematic diagram of the operation of the violation vehicle avoidance strategy library;
fig. 6 is a block diagram of the violation vehicle identification and avoidance system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
A violation vehicle avoidance system based on a cloud server respectively establishes subsystems in a cloud end (cloud server end) and a vehicle end (vehicle end), establishes various related subsystems in the system according to different function requirements of the cloud end and the vehicle end, and provides a set of communication and data interaction protocols (including control signal streams and data streams and communication interaction protocols among subsystems, the control signal streams can effectively cooperate with control interaction of the cloud end and the vehicle end, and the data streams can upload real-time data sensed by the vehicle end to the cloud end in time and can also completely issue the data streams of the cloud end to the vehicle end in time).
An existing cloud violation vehicle information database (usually provided by a traffic management department) is established at the cloud, and contains historical violation records of various vehicles in the administrative jurisdiction. The database can respond to the vehicle violation information inquiry request uploaded in real time and can reply the required vehicle violation information in real time. Therefore, the violation information of the appointed vehicle can be inquired more quickly and more accurately according to the existing cloud big data support.
Establishing a violation vehicle identification and management platform at the cloud, wherein the working procedures are as follows: the method comprises the steps of obtaining road traffic information uploaded by a vehicle end, analyzing vehicle identity information according to the information, reversely inquiring a violation vehicle information database, generating violation vehicle danger levels and possible actual violation behaviors, and generating an avoidance strategy to be issued to the vehicle end. And reversely, the vehicle end feeds back the real-time avoidance effect to the violation vehicle identification and management platform, so that the evaluation capability of the strategy library is enhanced, and the strategy closed loop and optimization are completed.
The method comprises the following steps of establishing a road section area violation vehicle selection system under a cloud violation vehicle identification and management platform, wherein the working procedures are as follows: the vehicle identity information (vehicle type/color/license plate and the like) is analyzed through the road traffic information which is uploaded by the vehicle end and sensed by the vehicle end, the vehicle identity information is transmitted to the violation vehicle information database, and the relevant violation records of the vehicle are requested to be inquired. The violation vehicle information database returns the historical violation records and the recent violation records of the relevant vehicle; and the road section area violation vehicle selection system analyzes the real-time violation risk of the relevant vehicle from the violation record statistics and judges the violation danger level of the relevant vehicle. Judging possible violation behaviors of the vehicle according to the generated violation vehicle danger level and the current road traffic information uploaded by the vehicle end; the system synchronously transmits the danger level of the violation vehicle, the actual possible violation behaviors and the current road information to the violation vehicle avoidance strategy library.
The method comprises the following steps of establishing a violation vehicle avoidance strategy library under a cloud violation vehicle identification and management platform, wherein the working procedures are as follows: receiving the violation vehicle danger level output from the road section area violation vehicle selection system, importing the violation vehicle danger level into a local strategy library, selecting a strategy type (I/II/III …) from the library based on the danger level, and obtaining a confirmed strategy; receiving 'actual possible violation behaviors' and 'current road traffic information' from a road section area violation vehicle selection system, importing the information into a local scene library, confirming the current scene type (scene I/scene II/scene III …), and obtaining a confirmed scene; and leading the confirmed strategy and the confirmed scene into an avoidance action model library to generate reliable avoidance action, and issuing the avoidance action as a strategy to a vehicle end. Meanwhile, the vehicle end dynamically reports the effect of the avoidance action matched with the environment to an avoidance action model library in real time, so that an information closed loop is formed by the effect of executing the avoidance strategy and the avoidance action model library, and the scene information, the strategy information and the action model in the avoidance strategy library are continuously optimized.
And establishing mapping logic in a violation vehicle avoidance strategy library, inputting the result output by the violation vehicle selection system in the road section area into the violation vehicle avoidance strategy library, mapping out matched avoidance actions, and sending the avoidance strategy to a vehicle end.
A system for identifying and avoiding the illegal vehicles is established in an automatic driving domain of a vehicle end. The system is responsible for sensing traffic information (road information, surrounding vehicle information, weather environment information and the like) of road sections in surrounding areas in real time. Meanwhile, an avoidance strategy planning control subsystem for executing an avoidance strategy is established in the violation vehicle identification and avoidance system, and the subsystem can control each actuator to complete avoidance actions according to the avoidance strategy transmitted by the cloud end; moreover, the system can report the avoided traffic environment condition to the cloud in real time.
The vehicle is provided with various types of sensors (sensing devices) for collecting real-time environment data, which may include laser radar, millimeter wave radar, ultrasonic radar, front camera, rear camera, look-around camera, surveillance camera, and the like. The vehicle must also have an autopilot domain to carry the perception fusion system. Meanwhile, the automatic driving domain of the vehicle end must contain a violation vehicle identification and avoidance system.
Referring to fig. 1-6, a violation vehicle avoidance system based on a cloud server comprises a cloud server end and a vehicle end, wherein the cloud server end and the vehicle end communicate in a wireless mode.
The cloud server side comprises a cloud violation vehicle identification and management platform and a violation vehicle information database; the cloud violation vehicle identification and management platform comprises a road section area violation vehicle selection system and a violation vehicle avoidance strategy library. The road section area is used for acquiring current area road section traffic information and surrounding vehicle information transmitted by a vehicle end by the illegal vehicle selection system, analyzing vehicle identity information according to the information, reversely inquiring the illegal vehicle information database, and after acquiring the vehicle illegal information, judging whether the vehicle often violates the regulations and often violates the regulations, which types of violations are often violated, and which road sections are easy to violate the regulations and dangerous conditions caused to surrounding vehicles after the violation of the regulations are easy to generate the dangerous grade of the vehicle; and then analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information. The violation vehicle avoidance strategy library receives the danger level transmitted by the violation vehicle selection system in the road section area, the violation behaviors possibly generated by the vehicle and the current traffic information transmitted by the violation vehicle identification and avoidance system, makes an avoidance strategy and issues the avoidance strategy to the violation vehicle identification and avoidance system for avoidance; and the violation vehicle avoidance strategy library receives the real-time avoidance effect feedback information transmitted by the violation vehicle identification and avoidance system, and perfects the violation vehicle avoidance strategy library.
The vehicle end comprises a violation vehicle identification and avoidance system, and the violation vehicle identification and avoidance system comprises a road section environment perception subsystem and an avoidance strategy planning control subsystem. The road section environment sensing subsystem receives real-time environment traffic information transmitted by each sensing device, summarizes the information and then respectively transmits the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of the terminal violation vehicle identification and management platform. The avoidance strategy planning control subsystem receives an avoidance strategy transmitted from the violation vehicle avoidance strategy library, plans a real-time driving path, and transmits an execution command of the avoidance strategy to the actuator to complete avoidance; and the violation vehicle avoidance strategy library feeds back the real-time avoidance effect to the violation vehicle identification and management platform.
According to the method, a violation vehicle avoidance strategy library is generated by matching from a strategy library, a scene library and an avoidance action model library according to input information. The generation of the strategy library is strategy accumulation completed by deep learning of a mass data set based on the past historical big data; the generation of the scene library is completed based on the accumulation of historical scenes and the training of real data; the avoidance action model library is obtained based on the feedback of real-time avoidance effect and the accumulation of historical data; the three are continuously perfected through mass real-time data verification and optimization at the cloud.
In the invention, the real-time environment traffic information comprises information such as vehicle information, position information, traffic signals, weather environment information and the like, wherein the vehicle information comprises information such as license plates, colors, vehicle types, distances, directions and the like. The violation vehicle information database is provided by the traffic management department and includes historical violation records for various types of vehicles within the administrative jurisdiction.
Example 2
The invention also provides a violation vehicle avoidance method based on the cloud server, which adopts the violation vehicle avoidance system based on the cloud server and comprises the following steps:
receiving real-time environmental traffic information transmitted by each sensing device through a road section environmental sensing subsystem, summarizing the information, and respectively transmitting the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of a side violation vehicle identification and management platform;
receiving real-time traffic information provided by a vehicle end road section environment sensing subsystem through a road section area violation vehicle selection system, extracting identifiable identity information (such as vehicle type, color, license plate, distance, direction and the like) of all vehicles from the real-time traffic information, selecting a plurality of target vehicles which are possibly harmful from the identity information, and submitting the identity information of the target vehicles to a violation vehicle information database so as to obtain recent violation records (historical violation records and violation records) of related vehicles; judging whether the vehicle often breaks rules and regulations, which types of rules and regulations are often broken, which road sections are easy to break rules and regulations, and the dangerous condition caused to surrounding vehicles after the rules and regulations are broken, according to the violation records, and generating the dangerous grade of the vehicle; then, analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information (vehicle information, position information, traffic signals, weather environment information and the like);
receiving the danger level and possibly produced violation behaviors transmitted by a violation vehicle selecting system in the road section area and current traffic information transmitted by a violation vehicle identification and avoidance system through a violation vehicle avoidance strategy library, matching and generating a real-time avoidance strategy from the strategy library, the scene library and the avoidance action model library, and issuing the avoidance strategy to the violation vehicle identification and avoidance system for avoidance;
receiving an avoidance strategy transmitted from the violation vehicle avoidance strategy library through an avoidance strategy planning control subsystem, planning a real-time driving path, and issuing an execution command of the avoidance strategy to an actuator to complete avoidance;
and the avoidance strategy planning control subsystem feeds back the real-time avoidance effect to the violation vehicle avoidance strategy library of the violation vehicle identification and management platform.
The method collects the result of the implementation of the avoidance measures of the dangerous violation vehicles in real time, feeds the result back to the cloud in real time, and provides the result for continuous optimization of the cloud.
The hardware of the invention can be an independent chip in the automatic driving domain controller or a chip carried in the existing SOC or MCU module, and can also be finished by using a special chip outside the domain controller. The software of the present invention may be deployed on dedicated components either within or external to the domain controller.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. The utility model provides a system is dodged to vehicle violating regulations based on high in the clouds server which characterized in that: the system comprises a cloud server side and a vehicle side, wherein the cloud server side and the vehicle side are communicated in a wireless mode;
the cloud server side comprises a cloud illegal vehicle identification and management platform and an illegal vehicle information database;
the vehicle end comprises a violation vehicle identification and avoidance system;
the violation vehicle identification and avoidance system senses current regional road traffic information and surrounding vehicle information in real time, summarizes the real-time information and uploads the real-time information to the cloud violation vehicle identification and management platform; the cloud-side illegal vehicle identification and management platform analyzes vehicle identity information according to the information, judges the danger level of the illegal vehicle and the actual possible illegal behaviors by reversely inquiring the illegal vehicle information database, generates an avoidance strategy and issues the avoidance strategy to the illegal vehicle identification and avoidance system for avoidance; the violation vehicle identification and avoidance system also feeds back the real-time avoidance effect to the cloud violation vehicle identification and management platform to complete strategy closed loop and optimization.
2. The cloud server-based violation vehicle avoidance system of claim 1, wherein: the cloud illegal vehicle identification and management platform comprises a road section area illegal vehicle selection system and an illegal vehicle avoidance strategy library;
the road section area violation vehicle selection system acquires current area road section traffic information and surrounding vehicle information, analyzes vehicle identity information according to the information, and judges whether the vehicle often violates rules and often violates the rules or regulations and whether the road sections are easy to violate the rules or the regulations and dangerous conditions caused to surrounding vehicles after the vehicles violate the rules by reversely inquiring a violation vehicle information database to obtain the vehicle violation information, so as to generate the dangerous grade of the vehicle; then, analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information;
the violation vehicle avoidance strategy library receives the danger level transmitted by the violation vehicle selection system in the road section area, the possible violation behaviors generated by the vehicle and the current traffic information transmitted by the violation vehicle identification and avoidance system, makes an avoidance strategy and issues the avoidance strategy to the violation vehicle identification and avoidance system for avoidance; and the violation vehicle avoidance strategy library receives the real-time avoidance effect feedback information transmitted by the violation vehicle identification and avoidance system, and perfects the violation vehicle avoidance strategy library.
3. The cloud server-based violation vehicle avoidance system according to claim 2, wherein: the violation vehicle avoidance strategy library is used for generating a real-time avoidance strategy from the strategy library, the scene library and the avoidance action model library in a matching manner according to the input information.
4. The cloud server-based violation vehicle avoidance system of claim 3, wherein:
the generation of the strategy library is strategy accumulation completed by deep learning of a mass data set based on the past historical big data;
the scene library is generated based on the accumulation of historical scenes and the training of real data;
the avoidance action model library is obtained based on feedback of real-time avoidance effect and accumulation of historical data;
the three are continuously perfected through mass real-time data verification and optimization at the cloud.
5. The cloud server-based violation vehicle avoidance system of claim 1, wherein:
the violation vehicle identification and avoidance system comprises a road section environment perception subsystem and an avoidance strategy planning control subsystem;
the road section environment sensing subsystem receives real-time environment traffic information transmitted by each sensing device, summarizes the information and then respectively transmits the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of the terminal violation vehicle identification and management platform;
the avoidance strategy planning control subsystem receives an avoidance strategy transmitted from the violation vehicle avoidance strategy library, plans a real-time driving path, and issues an execution command of the avoidance strategy to the actuator to complete avoidance; and the avoidance strategy planning control subsystem also feeds back the real-time avoidance effect to the violation vehicle avoidance strategy library of the violation vehicle identification and management platform.
6. The cloud server-based violation vehicle avoidance system of claim 5, wherein: the real-time environmental traffic information comprises vehicle information, position information and traffic signals.
7. The cloud server-based violation vehicle avoidance system of claim 5, wherein:
the violation vehicle information database is provided by a traffic management department and comprises historical violation records of various vehicles in the administrative jurisdiction.
8. The cloud server-based violation vehicle avoidance system according to claim 5, wherein:
the sensing equipment comprises a laser radar, a millimeter wave radar, an ultrasonic radar, a front camera, a rear camera, a look-around camera and a monitoring camera.
9. The cloud server-based violation vehicle avoidance system of claim 1, wherein:
the vehicle information comprises a license plate, color, vehicle type, distance and direction.
10. A violation vehicle avoidance method based on a cloud server is characterized by comprising the following steps: the method adopts the violation vehicle avoidance system based on the cloud server as set forth in any one of claims 1-8, and comprises the following steps:
receiving real-time environmental traffic information transmitted by each sensing device through a road section environmental sensing subsystem, summarizing the information, and respectively transmitting the information to a road section area violation vehicle selection system and a violation vehicle avoidance strategy library of a terminal violation vehicle identification and management platform;
receiving real-time traffic information provided by a vehicle end road section environment sensing subsystem through a road section area violation vehicle selection system, extracting the identity information of all identifiable vehicles from the real-time traffic information, selecting a plurality of target vehicles which are possibly harmful from the identity information, and submitting the identity information of the target vehicles to a violation vehicle information database so as to obtain violation records of related vehicles; judging whether the vehicle often breaks rules and regulations, which types of violation rules and regulations are often violated, which road sections are easy to break rules and dangerous conditions caused to surrounding vehicles after the violation rules and regulations are violated according to the violation records to generate a dangerous grade of the vehicle; then, analyzing possible violation behaviors of the vehicle under the current traffic road condition according to the current traffic information;
receiving the danger level and possibly generated violation behaviors transmitted by the violation vehicle selection system in the road section area and current traffic information transmitted by the violation vehicle identification and avoidance system through a violation vehicle avoidance strategy library, making an avoidance strategy, and issuing the avoidance strategy to the violation vehicle identification and avoidance system for avoidance;
receiving an avoidance strategy transmitted from the violation vehicle avoidance strategy library through an avoidance strategy planning control subsystem, planning a real-time driving path, and issuing an execution command of the avoidance strategy to an actuator to complete avoidance;
and the avoidance strategy planning control subsystem feeds back the real-time avoidance effect to the violation vehicle avoidance strategy library of the violation vehicle identification and management platform.
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| CN115346370A (en) * | 2022-08-10 | 2022-11-15 | 重庆大学 | Intersection anti-collision system and method based on intelligent traffic |
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| CN115346370B (en) * | 2022-08-10 | 2023-11-03 | 重庆大学 | Intersection anti-collision system and method based on intelligent traffic |
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