CN113852928B - Accident automatic reporting system and method based on 5G-V2X - Google Patents
Accident automatic reporting system and method based on 5G-V2X Download PDFInfo
- Publication number
- CN113852928B CN113852928B CN202111107232.3A CN202111107232A CN113852928B CN 113852928 B CN113852928 B CN 113852928B CN 202111107232 A CN202111107232 A CN 202111107232A CN 113852928 B CN113852928 B CN 113852928B
- Authority
- CN
- China
- Prior art keywords
- accident
- vehicle
- information
- module
- accident detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- 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
- G08G1/127—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 to a central station ; Indicators in a central station
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The disclosure provides an accident automatic reporting system and method based on 5G-V2X, which respectively detect accidents according to sensor data and video image data to obtain respective accident detection results; transmitting the sensor data, the video image data and the respective accident detection results to a cloud control center; the cloud control center receives the information, positions the corresponding vehicles, and obtains the vehicle sensory information in the adjacent positions and adjacent time periods of the corresponding vehicles, so as to obtain the vehicle dynamic environment information when an accident happens; the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and generates an accident report by fusion judgment to obtain an accident detection result; the method provides effective information for accident identification, driver driving behaviors, vehicle conditions and the like, and provides effective reference information for responsibility identification, vehicle improvement, traffic management and the like; the utility model provides a vehicle safety public service platform has been solved the potential safety hazard problem that the vehicle was driven.
Description
Technical Field
The disclosure belongs to the technical field of intelligent transportation, and particularly relates to an accident automatic reporting system and method based on 5G-V2X.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the rapid development of the economy in China, the automobile conservation amount is continuously increased, so that road traffic accidents tend to rise year by year, and the problem of traffic safety hidden danger is already a focus of attention; the traffic accidents frequently happen, and after the accidents happen, drivers are likely to be in coma and cannot save oneself, life is dangerous at any time, or key information before and after the accidents cannot be recorded, so that great difficulty is brought to the study and judgment of the traffic accidents in the future; the traditional traffic accident solution cannot cope with the increasingly complex traffic accident situation nowadays, and has the following problems that (1) the traffic accident of the vehicle cannot be accurately and rapidly detected; (2) The method can not accurately and rapidly provide comprehensive and reliable information for the generation of rescue schemes after accidents, the study and judgment of the accidents and the like.
Disclosure of Invention
In order to solve the problems, the disclosure provides an accident automatic reporting system and method based on 5G-V2X, which provides effective information for accident identification, driver driving behavior, vehicle conditions and the like, and provides effective reference information for responsibility identification, vehicle improvement, traffic management and the like; the utility model provides a vehicle safety public service platform has been solved the potential safety hazard problem that the vehicle was driven.
In order to achieve the above object, the present application is realized by the following technical scheme:
in a first aspect, the present disclosure provides a 5G-V2X-based accident automatic reporting system, including an information transmission module, a vehicle-mounted unit accident detection module, a drive test unit accident detection module, a vehicle-road collaborative accident detection module, and an accident report generation module;
the vehicle-mounted unit accident detection module is configured to: receiving sensor data, and judging an accident detection result according to the sensor data;
the drive test unit accident detection module is configured to: receiving video image data, and judging an accident detection result by using the video image data;
the vehicle-road cooperative accident detection module is configured to: summarizing the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit and the accident detection result judged by the accident detection module of the drive test unit, and judging the final detection result of the accident;
the incident report generation module is configured to: integrating all information summarized by the vehicle-road collaborative accident detection module and the final detection result of the accident to generate an accident report;
the information transmission module is configured to: transmitting the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit, the accident detection result judged by the accident detection module of the drive test unit and the final detection result of the accident to a cloud control center in real time through a 5G-V2X information transmission frame; transmitting information of the cloud control center to the accident report generating module; the information is transmitted through the 5G-V2X information transmission frame, and the technical characteristics of ultralow time delay and ultra-large bandwidth of the 5G-V2X communication technology are exerted.
Further, the sensor data includes crash sensor information, acceleration sensor information, angle sensor information, and attitude sensor information acquired by the HV (Host Veh i c l e) on-board unit at the time of occurrence of an accident.
Furthermore, the information transmission module also transmits surrounding dynamic environment information acquired by the RV (Remote Veh i c l e) vehicle-mounted unit when the accident occurs to the cloud control center in real time.
Further, after receiving all the information, the cloud control center firstly positions corresponding vehicles and acquires vehicle sensory information in adjacent positions and adjacent time periods of the corresponding vehicles to obtain vehicle dynamic environment information when accidents occur; and the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and fusion judgment is performed to obtain an accident detection result.
Further, after an accident occurs, the vehicle-mounted unit accident detection module collects vehicle-mounted sensor data in real time, the vehicle-mounted sensor data enter the preprocessing module, and the preprocessing module performs data verification and denoising processing on the original data of the sensor data; the preprocessed data enter a control module, the control module sends the preprocessed data to an accident detection module, and whether an accident occurs or not is judged in the accident detection module;
the control module is also connected with the fault detection module, the positioning module, the standby manual button and the monitoring module.
Further, the monitoring device of the road test unit accident detection module monitors road vehicles in real time, and preprocesses the obtained video image data to obtain a video time frame period of accident occurrence; detecting and tracking all vehicles in real time, respectively predicting the tracks of the vehicles, and performing cross prediction on the tracks of adjacent vehicles; meanwhile, the collision angle and the tilting degree of the vehicle in the accident occurrence are obtained by utilizing the road test unit accident detection module.
Further, integrating all information collected by the vehicle-road collaborative accident detection module and the final detection result of the accident, filtering and combining the integrated information to generate an accident report document in a fixed format.
In a second aspect, the present disclosure further provides a 5G-V2X-based accident automatic reporting method, employing the 5G-V2X-based accident automatic reporting system as described in the first aspect; the main content comprises:
respectively carrying out accident detection according to the sensor data and the video image data to obtain respective accident detection results;
transmitting the sensor data, the video image data and the respective accident detection results to a cloud control center;
the cloud control center receives the information, positions the corresponding vehicles, and obtains the vehicle sensory information in the adjacent positions and adjacent time periods of the corresponding vehicles, so as to obtain the vehicle dynamic environment information when an accident happens;
and the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and generates an accident report by fusion judgment to obtain an accident detection result.
In a third aspect, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the automatic incident reporting method based on 5G-V2X according to the second aspect when the program is executed.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the 5G-V2X-based incident automatic reporting method of the second aspect.
Compared with the prior art, the beneficial effects of the present disclosure are:
1. the C-V2X system based on the 5G transmission network ensures that the field accident data information can be transmitted to the cloud control center in real time by the characteristics of ultra-low time delay and ultra-large bandwidth; the intelligent traffic accident detection system solves the problems of accurately and rapidly detecting traffic accidents of vehicles, providing comprehensive and reliable information for rescue scheme generation, accident research and judgment and the like after the accidents occur, greatly improving the processing efficiency of the traffic accidents, reducing the potential safety hazards and assisting intelligent traffic construction.
2. The method and the device provide effective information for accident identification, driver driving behaviors, vehicle conditions and the like, and effective reference information for responsibility identification, vehicle improvement, traffic management and the like; the utility model provides a vehicle safety public service platform has been solved the potential safety hazard problem that the vehicle was driven.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification, illustrate and explain the embodiments and together with the description serve to explain the embodiments.
FIG. 1 is a functional block diagram of embodiment 1 of the present disclosure;
FIG. 2 is a flow chart illustrating the operation of embodiment 1 of the present disclosure;
fig. 3 is an information transmission frame of embodiment 1 of the present disclosure;
FIG. 4 is a flow chart of on-board unit (OBU) accident detection of embodiment 1 of the present disclosure;
fig. 5 is a flow chart of drive test unit (RSU) accident detection in embodiment 1 of the present disclosure;
fig. 6 is a flow chart of vehicle-road cooperative accident detection in embodiment 1 of the present disclosure.
The specific embodiment is as follows:
the disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Example 1:
as shown in fig. 1, the present embodiment proposes an accident automatic reporting system based on 5G-V2X, which includes an information transmission module, a vehicle-mounted unit accident detection module, a drive test unit accident detection module, a vehicle-road collaborative accident detection module, an accident report generation module, and other functional modules.
The vehicle-mounted unit accident detection module is configured to: receiving sensor data, and judging an accident detection result according to the sensor data; in this embodiment, the sensor data includes crash sensor information, acceleration sensor information, angle sensor information, and attitude sensor information acquired by the HV (Host Veh i c l e) vehicle-mounted unit at the time of occurrence of an accident; specifically, after an accident occurs, the vehicle-mounted unit accident detection module collects vehicle-mounted sensor data in real time, the vehicle-mounted sensor data enter the preprocessing module, and the preprocessing module performs data verification and denoising processing on the original data of the sensor data; the preprocessed data enter a control module, the control module sends the preprocessed data to an accident detection module, and whether an accident occurs or not is judged in the accident detection module; in this embodiment, the control module is further connected to the fault detection module, the positioning module, the backup manual button, and the monitoring module.
The drive test unit accident detection module is configured to: receiving video image data, and judging an accident detection result by using the video image data; specifically, a monitoring device of the road test unit accident detection module monitors road vehicles in real time, and preprocesses obtained video image data to obtain a video time frame period of accident occurrence; detecting and tracking all vehicles in real time, respectively predicting the tracks of the vehicles, and performing cross prediction on the tracks of adjacent vehicles; meanwhile, the collision angle and the tilting degree of the vehicle in the accident occurrence are obtained by utilizing the road test unit accident detection module.
The vehicle-road cooperative accident detection module is configured to: and summarizing the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit and the accident detection result judged by the accident detection module of the drive test unit, and judging the final detection result of the accident.
The incident report generation module is configured to: integrating all information summarized by the vehicle-road collaborative accident detection module and the final detection result of the accident to generate an accident report; specifically, all information collected by the vehicle-road cooperative accident detection module and the final detection result of the accident are integrated, and the integrated information is filtered and combined to generate an accident report document in a fixed format.
The information transmission module is configured to: transmitting the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit, the accident detection result judged by the accident detection module of the drive test unit and the final detection result of the accident to a cloud control center in real time through a 5G-V2X information transmission frame; the information transmission module is used for transmitting surrounding dynamic environment information acquired by the RV (Remote Veh i c l e) vehicle-mounted unit when an accident occurs to the cloud control center in real time; transmitting information of a cloud control center to the accident report generation module, specifically, after the cloud control center receives all the information, positioning the position of a corresponding vehicle, and acquiring vehicle sensory information of the adjacent position and the adjacent time period of the corresponding vehicle to obtain vehicle dynamic environment information when an accident occurs; and the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and fusion judgment is performed to obtain an accident detection result.
The working process or principle of the embodiment is as follows:
as shown in fig. 2, after a traffic accident occurs, an on-board unit (OBU) and a road test unit (RSU) perform accident detection independently to obtain respective accident detection results, the respective collected corresponding information data and accident judgment results are sent to a cloud control center, the cloud control center receives the information, first locates the accurate position of the corresponding vehicle, checks the sensory information of the vehicle in the adjacent position and the adjacent time period of the corresponding vehicle, obtains the dynamic environment information of the vehicle when the accident occurs, and the cloud control center comprehensively analyzes the obtained accident detection information and the dynamic environment information to generate an accident report. The information transmission in the system operation process is based on the 5G-V2X communication transmission technology, so that the real-time performance can be achieved to the greatest extent.
As shown in fig. 4, after an accident occurs, the vehicle-mounted unit accident detection module collects vehicle-mounted sensor data in real time, including a collision sensor, an acceleration sensor, an angular velocity sensor, an attitude sensor and the like; the vehicle-mounted sensor data enter a preprocessing module, and the preprocessing module performs data verification and denoising processing on the original data to eliminate the influence of abnormal data points on the overall data quality; the processed data enter a control module, the control module sends the processed data to an accident detection module, and whether an accident occurs or not is judged in the accident detection module; the final detection result is fed back to the control module, and the final accident detection result and the sensor data information are sent out together through the communication module; the control module is connected with the fault detection module, the positioning module, the standby manual button and the monitoring module.
As shown in fig. 5, a monitoring device of the drive test unit monitors road vehicles in real time, and preprocesses the obtained video image information to obtain video time frame segments of corresponding accidents; detecting and tracking all vehicles in real time, respectively carrying out track prediction, carrying out cross prediction on tracks of adjacent vehicles, and judging that the vehicles have accidents if the tracks possibly cross and the space distance of the cross is larger than a preset space threshold value; and the vehicle collision angle and the tilting degree when the accident happens are obtained by utilizing the perception range advantage of the drive test unit, and the accident judgment result and the corresponding accident information are sent to the cloud control center through the communication module.
As shown in fig. 6, after obtaining the accident detection results of the vehicle-mounted terminal and the drive test unit, the cloud control center first locates the accurate position of the corresponding vehicle, checks the adjacent position of the corresponding vehicle, checks the sensory information of the vehicle in the adjacent time period, and obtains the dynamic environment information of the vehicle when the accident occurs; the fusion detection module performs feature extraction on data from the HV, the RV and the RSU, and then fusion judgment is performed to obtain an accident detection result; and finally, integrating all the information to generate an accident report in a fixed format.
Example 2:
the embodiment provides a 5G-V2X-based accident automatic reporting method, which is characterized in that the 5G-V2X-based accident automatic reporting system as described in the embodiment 1 is adopted; the main content comprises:
respectively carrying out accident detection according to the sensor data and the video image data to obtain respective accident detection results;
transmitting the sensor data, the video image data and the respective accident detection results to a cloud control center;
the cloud control center receives the information, positions the corresponding vehicles, and obtains the vehicle sensory information in the adjacent positions and adjacent time periods of the corresponding vehicles, so as to obtain the vehicle dynamic environment information when an accident happens;
and the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and generates an accident report by fusion judgment to obtain an accident detection result.
Example 3:
the embodiment provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the accident automatic reporting method based on 5G-V2X according to the embodiment 2.
Example 4:
the present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a 5G-V2X-based automatic incident reporting method as described in embodiment 2.
The above description is only a preferred embodiment of the present embodiment, and is not intended to limit the present embodiment, and various modifications and variations can be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment should be included in the protection scope of the present embodiment.
Claims (7)
1. The accident automatic reporting system based on 5G-V2X is characterized by comprising an information transmission module, a vehicle-mounted unit accident detection module, a drive test unit accident detection module, a vehicle-road cooperative accident detection module and an accident report generation module;
the vehicle-mounted unit accident detection module is configured to: receiving sensor data, and judging an accident detection result according to the sensor data;
the drive test unit accident detection module is configured to: receiving video image data, and judging an accident detection result by using the video image data;
the vehicle-road cooperative accident detection module is configured to: summarizing the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit and the accident detection result judged by the accident detection module of the drive test unit, and judging the final detection result of the accident;
the incident report generation module is configured to: integrating all information summarized by the vehicle-road collaborative accident detection module and the final detection result of the accident to generate an accident report;
the information transmission module is configured to: transmitting the sensor data, the video image data, the accident detection result judged by the accident detection module of the vehicle-mounted unit, the accident detection result judged by the accident detection module of the drive test unit and the final detection result of the accident to a cloud control center in real time through a 5G-V2X information transmission frame; transmitting information of the cloud control center to the accident report generating module;
after the cloud control center receives all the information, the position of the corresponding vehicle is firstly positioned, and the vehicle sensory information in the adjacent position and the adjacent time period of the corresponding vehicle is obtained, so that the vehicle dynamic environment information when an accident happens is obtained; the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and fusion judgment is performed to obtain an accident detection result;
integrating all information summarized by the vehicle-road collaborative accident detection module and the final detection result of the accident, filtering and combining the integrated information to generate an accident report document in a fixed format;
the monitoring device of the road test unit accident detection module monitors road vehicles in real time, and preprocesses the obtained video image data to obtain a video time frame section of accident occurrence; detecting and tracking all vehicles in real time, respectively predicting tracks of the vehicles, and performing cross prediction on tracks of adjacent vehicles, and if the tracks are crossed and the space distance of the crossing is greater than a preset space threshold value, judging that the vehicles have accidents; meanwhile, the collision angle and the tilting degree of the vehicle in the accident occurrence are obtained by utilizing the road test unit accident detection module.
2. The 5G-V2X based automatic crash reporting system as claimed in claim 1, wherein the sensor data includes crash sensor information, acceleration sensor information, angle sensor information, and attitude sensor information at the time of occurrence of a crash collected by the HV on-board unit.
3. The accident automatic reporting system based on 5G-V2X as set forth in claim 1, wherein the information transmission module further transmits the surrounding dynamic environment information acquired by the RV on-board unit to the cloud control center in real time when the accident occurs.
4. The accident automatic reporting system based on 5G-V2X as set forth in claim 1, wherein after an accident occurs, the accident detection module of the vehicle-mounted unit collects vehicle-mounted sensor data in real time, the vehicle-mounted sensor data enters the preprocessing module, and the preprocessing module performs data verification and denoising processing on the original data of the sensor data; the preprocessed data enter a control module, the control module sends the preprocessed data to an accident detection module, and whether an accident occurs or not is judged in the accident detection module;
the control module is also connected with the fault detection module, the positioning module, the standby manual button and the monitoring module.
5. A 5G-V2X-based accident automatic reporting method, characterized in that the 5G-V2X-based accident automatic reporting system according to any one of claims 1 to 4 is employed; the main content comprises:
respectively carrying out accident detection according to the sensor data and the video image data to obtain respective accident detection results;
transmitting the sensor data, the video image data and the respective accident detection results to a cloud control center;
the cloud control center receives the information, positions the corresponding vehicles, and obtains the vehicle sensory information in the adjacent positions and adjacent time periods of the corresponding vehicles, so as to obtain the vehicle dynamic environment information when an accident happens;
and the fusion detection module performs feature extraction on the sensor data, the vehicle dynamic environment information and the video image data, and generates an accident report by fusion judgment to obtain an accident detection result.
6. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the 5G-V2X based incident automatic reporting method of claim 5 when the program is executed.
7. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the 5G-V2X-based incident automatic reporting method of claim 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111107232.3A CN113852928B (en) | 2021-09-22 | 2021-09-22 | Accident automatic reporting system and method based on 5G-V2X |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111107232.3A CN113852928B (en) | 2021-09-22 | 2021-09-22 | Accident automatic reporting system and method based on 5G-V2X |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113852928A CN113852928A (en) | 2021-12-28 |
CN113852928B true CN113852928B (en) | 2023-09-12 |
Family
ID=78974862
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111107232.3A Active CN113852928B (en) | 2021-09-22 | 2021-09-22 | Accident automatic reporting system and method based on 5G-V2X |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113852928B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103810879A (en) * | 2012-11-01 | 2014-05-21 | 现代摩比斯株式会社 | On-vehicle information service system and method for providing on-vehicle information service in the system |
CN106652445A (en) * | 2016-11-15 | 2017-05-10 | 成都通甲优博科技有限责任公司 | Road traffic accident judging method and device |
CN108470441A (en) * | 2018-03-30 | 2018-08-31 | 饶雄刚 | A kind of method and device of vehicle traffic accident processing |
CN109070888A (en) * | 2016-03-21 | 2018-12-21 | 福特全球技术公司 | Propagate the alarm about traffic events |
CN109671006A (en) * | 2018-11-22 | 2019-04-23 | 斑马网络技术有限公司 | Traffic accident treatment method, apparatus and storage medium |
CN113240909A (en) * | 2021-06-17 | 2021-08-10 | 阿波罗智联(北京)科技有限公司 | Vehicle monitoring method, equipment, cloud control platform and vehicle road cooperative system |
-
2021
- 2021-09-22 CN CN202111107232.3A patent/CN113852928B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103810879A (en) * | 2012-11-01 | 2014-05-21 | 现代摩比斯株式会社 | On-vehicle information service system and method for providing on-vehicle information service in the system |
CN109070888A (en) * | 2016-03-21 | 2018-12-21 | 福特全球技术公司 | Propagate the alarm about traffic events |
CN106652445A (en) * | 2016-11-15 | 2017-05-10 | 成都通甲优博科技有限责任公司 | Road traffic accident judging method and device |
CN108470441A (en) * | 2018-03-30 | 2018-08-31 | 饶雄刚 | A kind of method and device of vehicle traffic accident processing |
CN109671006A (en) * | 2018-11-22 | 2019-04-23 | 斑马网络技术有限公司 | Traffic accident treatment method, apparatus and storage medium |
CN113240909A (en) * | 2021-06-17 | 2021-08-10 | 阿波罗智联(北京)科技有限公司 | Vehicle monitoring method, equipment, cloud control platform and vehicle road cooperative system |
Also Published As
Publication number | Publication date |
---|---|
CN113852928A (en) | 2021-12-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7263233B2 (en) | Method, system and program for detecting vehicle collision | |
CN102044162B (en) | Vehicle early warning analyzing and processing method and system | |
CN105976450A (en) | Unmanned vehicle data processing method and device, and black box system | |
CN105719482A (en) | Dynamic vehicle information collecting device | |
US20210201666A1 (en) | Scalable and distributed detection of road anomaly events | |
CN111311914A (en) | Vehicle driving accident monitoring method and device and vehicle | |
CN110995771A (en) | Freight train land transportation monitoring management system based on thing networking | |
CN102963298A (en) | Abnormal behavior monitoring method based on sight detection | |
CN109094574B (en) | Unmanned vehicle driving state measurement control system based on rack | |
Smith et al. | Feasibility of driver judgment as basis for a crash avoidance database | |
CN114360210A (en) | Vehicle fatigue driving early warning system | |
CN106530827A (en) | Corner driving early warning device, system and method | |
CN114489004B (en) | Unmanned test method and system thereof | |
CN112863244A (en) | Method and device for promoting safe driving of vehicle | |
CN114038196A (en) | Vehicle forward collision avoidance early warning system and method | |
CN113852928B (en) | Accident automatic reporting system and method based on 5G-V2X | |
CN211765389U (en) | Intelligent monitoring system for safe driving of automobile | |
Alsubaei | Reliability and security analysis of artificial intelligence-based self-driving technologies in Saudi Arabia: A case study of Openpilot | |
CN112937599B (en) | Driving assistance performance monitoring system and method | |
US20220319185A1 (en) | Method for preventing collisions in blind area of a vehicle, and electronic device using the same | |
CN114572138A (en) | Self-checking method, device and equipment for accident fault of automatic driving vehicle and storage medium | |
CN104340118A (en) | Traffic offence prompting device and implementing method thereof for drivers | |
CN108648479B (en) | Device and method for reminding night foggy road section in real time by using electronic map | |
CN112937562A (en) | Vehicle travel control method, electronic device, and storage medium | |
CN103632412A (en) | Vehicle-mounted data management method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |