TW202329057A - Method, equipment and storage medium for road condition warning - Google Patents

Abstract

This application discloses a method, equipment and storage medium for road condition warning, and relates to a technical field of internet of vehicles. The method includes: obtain the driving information of multiple vehicles in the target area. determine whether there is an abnormal road section in the target area according to the driving information of multiple vehicles. if there is an abnormal road section in the target area, determine the abnormal cause according to the image of the abnormal road section. warning for the abnormal road section. This application can remotely confirm abnormal road conditions and timely warn vehicles that may enter an abnormal road section.

Description

Road condition early warning method, device and storage medium

The present application relates to the technical field of Internet of Vehicles, in particular to a road condition early warning method, device and storage medium.

At present, when abnormal conditions occur on the road (such as subsidence, water accumulation, foreign object obstacles, or car accidents, etc.), the abnormal conditions are usually confirmed on the spot, and early warning is given by setting warning signs on the abnormal road sections. If the warning is not timely, it may cause serious congestion on the abnormal road section, and even cause road traffic accidents.

The present application provides a road condition early warning method, device and storage medium, which can remotely confirm abnormal road conditions, and timely give early warning to vehicles that may enter the abnormal road section.

The first aspect of the present application provides a road condition early warning method, including: extracting the driving information of multiple vehicles in the destination area; determining whether there is an abnormal road section in the destination area according to the driving information of the multiple vehicles; if there is an abnormal road section in the destination area , the cause of the abnormality is determined according to the image of the abnormal road section; and an early warning is given to the abnormal road section.

The second aspect of the present application provides a road condition early warning device, including a memory and a processor, and the processor is used to execute a computer program stored in the memory to implement the road condition early warning method of the embodiment of the present application.

The third party of the present application provides a storage medium, which is installed in the server and is used to store the computer program. When the computer program is executed by the processor, the condition warning method of the embodiment of the present application is realized.

The embodiment of this application determines whether there is an abnormal road section in the destination area according to the driving information of multiple vehicles, determines the cause of the abnormality according to the image of the abnormal road section, and gives an early warning to the abnormal road section, and can remotely confirm the abnormal road condition and the cause of the abnormality, and then advance Provide early warning for vehicles that may enter abnormal road sections, improve driving safety, reduce road congestion, and improve traffic efficiency.

In order to understand the above-mentioned purpose, features and advantages of the present application more clearly, the present application will be described in detail below in conjunction with the accompanying drawings and specific embodiments. A number of specific details are set forth in the following description to facilitate a full understanding of the application, and the described embodiments are only part of the embodiments of the application, not all of the embodiments.

It should be noted that although a logical sequence is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than in the flow chart. The methods disclosed in the embodiments of the present application include one or a plurality of steps or actions for realizing the method. The method steps and/or actions may be interchanged with one another without departing from the scope of the claims.

Please refer to FIG. 1 , which is a block diagram of a road condition warning device 10 according to an embodiment of the present application. The road condition warning device 10 includes a processor 11 , a memory 12 and a communication interface 13 , and the above components can be connected by a bus bar or directly.

The processor 11 is used to execute the computer program stored in the memory 12 to realize the condition warning method of the embodiment of the present application (refer to the detailed description later). The processor 11 includes, but is not limited to, a central processing unit (Central Processing Unit, CPU), a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

Memory 12 includes volatile or non-volatile memory components, such as digital multiple function disk (DVD) or other optical discs, magnetic disks, hard disks, smart memory cards (Smart Media Card, SMC), secure digital (Secure Digital , SD) card, flash memory card (Flash Card), etc.

The communication interface 13 is used to realize the network communication between the server and the vehicle terminal. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The vehicle terminal can be a vehicle-mounted terminal installed on the vehicle, or a mobile terminal carried by the driver. Vehicle terminals include, but are not limited to, smart phones, tablet computers, laptops, smart speakers, smart watches, on-board servers, on-board sensors, etc. Data transmission can be performed between the server and the vehicle terminal through a wireless communication network. Wireless communication networks include, but are not limited to, wireless local area networks (Wireless Local Area Networks, WLAN), cellular communication networks (eg, 2G/3G/4G/5G, etc.), satellite communication networks, and the like.

In one of the implementation manners, the road condition warning device 10 may be a server. The road condition early warning device 10 communicates with the vehicle terminal via the communication interface 13 via the network.

In another embodiment, the road condition warning device 10 may be a vehicle terminal. The road condition early warning device 10 communicates with the server via the communication interface 13 via the network. In other embodiments, the road condition warning device 10 can also communicate with vehicle terminals on other vehicles through the communication interface 13 via the network.

It can be understood that the road condition warning device 10 may also include more or less elements, or have different element configurations.

The road condition early warning method according to the embodiment of the present application will be described in detail below.

Please refer to FIG. 2 , which is a flowchart of a road condition early warning method according to an embodiment of the present application. The road condition warning method can be implemented by the above road condition warning device 10 . The road condition early warning method comprises the steps:

S21. Acquiring driving information of multiple vehicles in the destination area.

In one embodiment, when the road condition warning device 10 is a server, the road condition warning device 10 can send instructions to the vehicles in the destination area through the communication interface 13 to retrieve the driving information of the vehicles in the destination area. After the vehicle receives the command, it can send its driving information to the road condition warning device 10 through the vehicle terminal. In other embodiments, the vehicles in the destination area can also actively send their driving information to the road condition warning device 10 through the vehicle terminal. Destination area refers to the coverage area of the planned driving route of the vehicle from the place of departure to the destination.

In one embodiment, the driving information includes positioning information and sensor information. Among them, the positioning information refers to the geographic location information of the vehicle. In one of the implementation manners, the vehicle terminal can retrieve the location information through the location system, and send the location information to the road condition warning device 10 . Positioning systems include, but are not limited to, Global Positioning System (Global Positioning System, GPS), Beidou Navigation Satellite System (BeiDou Navigation Satellite System, BDS), Galileo Satellite Navigation System (Galileo Satellite Navigation System, GALILEO), Global Navigation Satellite System ( Global Navigation Satellite System, GLONASS), etc.

Sensor information refers to the information collected by the sensors of the vehicle. Sensors include, but are not limited to, camera sensors, millimeter wave radar, lidar, ultrasonic radar, infrared sensors, acceleration sensors, sensing in electronic stability control systems (Electronic Stability Controller, ESC) Sensors, sensors in the tracking anti-skid control system, etc. Sensors can detect light, heat, pressure or other variables used to monitor the state of the vehicle. The sensors can be mounted on the vehicle's front and rear bumpers, side mirrors, inside the steering column or on the windshield.

In other embodiments, the driving information may also include at least one of the following: map information, driver behavior information. Among them, map information refers to geographic and traffic information in the form of images, animations, or videos. In one of the implementation manners, the road condition warning device 10 can retrieve map information through an application program, and the application program can provide map information services, such as Baidu map, Gaode map and so on.

Driver behavior information refers to the information on the driver's operation of the vehicle. Driver behavior information includes, but is not limited to, activation of the anti-lock braking system (Anti-lock Braking System, ABS), activation of the electric power steering system (Electric Power Steering, EPS), emergency braking, steering wheel angle, etc.

It can be understood that the driving information may also include other information representing the state of the vehicle, which is not limited in this application.

In another embodiment, when the road condition warning device 10 is a vehicle terminal, the road condition warning device 10 sends a request to other vehicles in the destination area through the communication interface 13 to retrieve the driving information of other vehicles in the destination area. After other vehicles receive the request, they can send their driving information to the road condition warning device 10 through the corresponding vehicle terminal.

In another embodiment, when the road condition warning device 10 is a vehicle terminal, the road condition warning device 10 sends a request to the server through the communication interface 13 to retrieve the driving information of other vehicles in the destination area. After receiving the request, the server can send instructions to all vehicles in the destination area to retrieve the driving information of all vehicles in the destination area. After the vehicles in the destination area receive the command, they can send their driving information to the server through the corresponding vehicle terminal. After the server receives the driving information of all vehicles in the destination area, it can send the driving information of other vehicles in the destination area to the road condition warning device 10 . In other embodiments, after receiving the driving information of all vehicles in the destination area, the server may also broadcast the driving information of all vehicles in the destination area to all vehicles in the destination area.

S22. Determine whether there is an abnormal road section in the destination area according to the driving information of the plurality of vehicles. If it is determined that there is an abnormal road section in the destination area, step S23 is executed. If it is determined that there is no abnormal road section in the destination area, the process ends.

In one embodiment, the road condition warning device 10 can monitor the state of the vehicle in real time according to the sensor information, and determine whether there is an abnormal road section in the destination area by judging whether the vehicle is driving abnormally. Abnormal driving includes abnormal detour, abnormal parking, or abnormal driving speed.

In one of the implementations, the road condition warning device 10 can monitor the geographic location of the vehicle in real time according to the positioning information, so that after it is determined that there is an abnormal road section in the destination area, the location of the abnormal road section can be determined in time. The road condition early warning device 10 uses the positioning information to determine a fixed point where no vehicle passes by, and defines the fixed point as an abnormal road section.

In other embodiments, the road condition warning device 10 can also retrieve geographical and traffic information in the destination area according to the map information. For example, the road condition warning device 10 can determine whether there is a closed road section or a traffic jam section in the destination area according to the map information, so that the driving route can be re-planned to avoid driving into the closed road section or traffic jam section.

The road condition warning device 10 can also determine whether the driver operates the vehicle abnormally according to the driver's behavior information, so as to determine whether there is an abnormal road section in the destination area. Abnormal operations include abnormal steering, frequent braking or emergency braking, etc. Steering can be determined by the steering wheel angle, and abnormal steering can be determined by the vehicle turning at a non-corner or non-turning road section.

The road condition early warning device 10 can also determine whether the driver operates abnormally on the vehicle according to the driver's behavior information and location information, so as to determine whether there is an abnormal road section in the destination area.

S23. Determine the cause of the abnormality according to the image of the abnormal road section.

The road condition warning device 10 captures images of abnormal road sections. In one of the implementation manners, the road condition warning device 10 can capture images of abnormal road sections by invoking the camera of the vehicle. In other embodiments, the road condition warning device 10 can also be connected to the network traffic management platform through the communication interface 13 to capture images of abnormal road sections, and the network traffic management platform can take pictures by monitoring cameras installed on abnormal road sections Image of abnormal road section.

The road condition warning device 10 determines the cause of the abnormality according to the image of the abnormal road section. Abnormal causes include road subsidence, water accumulation, potholes, foreign object obstacles, or car accidents. In one embodiment, the road condition warning device 10 can extract image features from images of abnormal road sections, and then compare the image features with different types of abnormal features to determine whether the image features are abnormal features. There is a corresponding relationship between abnormal features and abnormal road conditions and abnormal reasons. The road condition early warning device 10 can use different types of abnormal features to determine the abnormal road conditions and abnormal reasons corresponding to the abnormal features.

It can be understood that the road condition warning device 10 can use the memory 12 to store abnormal features, abnormal road conditions, abnormal causes and their corresponding relationships.

S24, giving an early warning to the abnormal road section.

In one of the implementation manners, the road condition early warning device 10 can provide early warning for abnormal road sections through at least one of the following methods: broadcast notification, message push, voice prompt or text prompt, etc.

In one embodiment, the road condition early warning device 10 can send early warning messages to all vehicles in the destination area, so as to give early warning to vehicles that may enter abnormal road sections. In other embodiments, the road condition early warning device 10 may also send early warning messages to the network traffic management platform, so as to issue early warning to vehicles in a larger area through the network traffic management platform. The road condition early warning device 10 can also add the cause of the abnormality into the early warning message, and send the early warning message to the traffic management department, thereby assisting the traffic management department to timely check and repair the abnormal road section.

It can be understood that the road condition warning device 10 may also perform step S23 after performing step S24.

Please refer to FIG. 3 , which is a block diagram of a road condition warning device 30 according to an embodiment of the present application. The road condition early warning device 30 includes a collection module 31 , a judgment module 32 , an analysis module 33 and an early warning module 34 . The judgment module 32 is electrically connected to the acquisition module 31 , the analysis module 33 and the early warning module 34 . The analysis module 33 is electrically connected to the early warning module 34 .

The acquisition module 31 is used to acquire the driving information of multiple vehicles in the destination area.

The judging module 32 is used to determine whether there is an abnormal road section in the destination area according to the driving information of a plurality of vehicles.

The analysis module 33 is used to determine the cause of the abnormality according to the image of the abnormal road section.

The early warning module 34 is used for early warning of abnormal road sections.

In one of the implementations, when the road condition warning device 30 is a server, the collection module 31 can send instructions to vehicles in the destination area to retrieve the driving information of the vehicles. After the vehicle receives the instruction, it can send its driving information to the road condition warning device 30 through the vehicle terminal, and the collecting module 31 receives the driving information. In other implementations, vehicles in the destination area can also actively send their driving information to the road condition warning device 30 through the vehicle terminal. Destination area refers to the coverage area of the planned driving route of the vehicle from the place of departure to the destination.

In one embodiment, the driving information includes positioning information and sensor information. In other implementations, the driving information may also include map information, driver behavior information or other information representing the state of the vehicle.

In another embodiment, when the road condition warning device 30 is a vehicle terminal, the collection module 31 can send a request to other vehicles in the destination area to retrieve the driving information of other vehicles in the destination area. After other vehicles receive the request, they can send their driving information to the road condition warning device 30 through the corresponding vehicle terminal, and the acquisition module 31 receives the driving information.

In another embodiment, when the road condition warning device 30 is a vehicle terminal, the acquisition module 31 can send a request to the server to acquire the driving information of other vehicles in the destination area. After receiving the request, the server can send instructions to all vehicles in the destination area to retrieve the driving information of all vehicles in the destination area. After the vehicles in the destination area receive the command, they can send their driving information to the server through the corresponding vehicle terminal. After the server receives the driving information of all vehicles in the destination area, it can send the driving information of other vehicles in the destination area to the road condition warning device 30, and the acquisition module 31 receives the driving information. In other embodiments, after the server receives the driving information of all vehicles in the destination area, it may also broadcast the driving information of all vehicles in the destination area to all vehicles in the destination area, and the collection module 31 receives the driving information.

In one embodiment, the judging module 32 can monitor the state of the vehicle in real time according to the sensor information, and determine whether there is an abnormal road section in the destination area by judging whether the vehicle is driving abnormally. Abnormal driving includes abnormal detour, abnormal parking, or abnormal driving speed.

In one embodiment, the judging module 32 can monitor the geographic location of the vehicle in real time according to the positioning information, so that after it is determined that there is an abnormal road section in the destination area, the position of the abnormal road section can be determined in time.

In one of the implementation manners, the analysis module 33 captures images of the abnormal road section, and determines the cause of the abnormality according to the image of the abnormal road section. Abnormal causes include road subsidence, water accumulation, potholes, foreign object obstacles, or car accidents.

In one of the implementations, the analysis module 33 can capture images of abnormal road sections by invoking the camera of the vehicle. In other embodiments, the analysis module 33 can also be connected to the network traffic management platform through the communication interface 13 to capture images of abnormal road sections, and the network traffic management platform can take pictures by monitoring cameras installed on abnormal road sections Image of abnormal road section.

In one embodiment, the analysis module 33 can extract image features from images of abnormal road sections, and then compare the image features with different types of abnormal features to determine whether the image features are abnormal features. There is a corresponding relationship between abnormal features and abnormal road conditions and abnormal reasons. The analysis module 33 can use different types of abnormal features to determine the abnormal road conditions and abnormal reasons corresponding to the abnormal features.

In one embodiment, the early warning module 34 can provide early warning for abnormal road sections through at least one of the following methods: broadcast notification, message push, voice prompt or text prompt, etc.

In one embodiment, the early warning module 34 can send early warning messages to all vehicles in the destination area, so as to give early warning to vehicles that may enter abnormal road sections. In other implementations, the early warning module 34 can also send early warning messages to the network traffic management platform, so as to issue early warnings to vehicles in a larger area through the network traffic management platform. The early warning module 34 can also add the cause of the abnormality into the early warning message, and send the early warning message to the traffic management department, thereby assisting the traffic management department to timely check and repair the abnormal road section.

It can be understood that the acquisition module 31, the judgment module 32, the analysis module 33, and the early warning module 34 can be microcontrollers, processors, or integrated circuits for special applications, etc., and can implement the condition early warning method of the embodiment of the present application.

In one of the implementation manners, the acquisition module 31 , the judgment module 32 , the analysis module 33 and the early warning module 34 can be implemented as computer programs with special functions. The computer program can be stored in the memory 12 of the road condition warning device 10, and can be executed by the processor 11 of the road condition warning device 10 to realize the road condition warning method of the embodiment of the present application.

The embodiment of the present application also provides a storage medium, which is set in the server and used to store the computer program. When the computer program is executed by the processor, the condition warning method of the embodiment of the present application is realized.

Storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. medium. Storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, DVD or other optical disc storage, magnetic cartridges, magnetic tape, magnetic disk storage or other A magnetic storage device, or any other medium that can be used to store desired information and that can be accessed by a computer.

It should be understood that all or some of the steps in the road condition warning method of the embodiment of the present application and the functional modules in the road condition warning device 30 can be implemented as software, firmware, hardware and an appropriate combination thereof.

In the hardware implementation, the division among functional modules mentioned in the above description does not necessarily correspond to the division of physical components. For example, one physical element may have a plurality of functions, or one function or step may be performed cooperatively by several physical elements. Some or all of the physical elements may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuits. Such software may be distributed on storage media.

The embodiments of the present application have been described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments, within the scope of knowledge possessed by ordinary skilled persons in the technical field, and without departing from the purpose of the present application. Make various changes.

10: Road condition warning equipment 11: Processor 12: Memory 13: Communication interface 30: Road condition warning device 31: Acquisition Module 32: Judgment module 33: Analysis Module 34: Early warning module S21-S24: Steps

FIG. 1 is a block diagram of a road condition early warning device according to an embodiment of the present application. Fig. 2 is a flowchart of a road condition early warning method according to an embodiment of the present application. Fig. 3 is a block diagram of a road condition early warning device according to an embodiment of the present application.

none

S21-S24: Steps

Claims (10)

A road condition early warning method, comprising: Acquire the driving information of multiple vehicles in the destination area; Determine whether there is an abnormal road section in the destination area according to the driving information of the plurality of vehicles; If it is determined that there is an abnormal road section in the destination area, then determine the cause of the abnormality according to the image of the abnormal road section; An early warning is given to the abnormal road section. The road condition warning method according to claim 1, wherein the driving information at least includes positioning information and sensor information. The road condition warning method according to claim 2, wherein the driving information further includes at least one of the following: map information and driver behavior information. The road condition early warning method according to claim 2, wherein the determining whether there is an abnormal road section in the destination area according to the driving information of the plurality of vehicles includes: determining whether the plurality of vehicles are running abnormally according to the sensor information; If it is determined that the plurality of vehicles are running abnormally, it is determined that there is an abnormal road section in the destination area. The road condition early warning method according to claim 4, wherein, after determining that there is an abnormal road section in the destination area, the method further includes: The position of the abnormal road section is determined according to the positioning information. The road condition early warning method according to claim 3, wherein the determining whether there is an abnormal road section in the destination area according to the driving information of the plurality of vehicles includes: Determine whether there is a closed road section or a traffic jam section in the destination area according to the map information. The road condition early warning method according to claim 3, wherein the determining whether there is an abnormal road section in the destination area according to the driving information of the plurality of vehicles includes: Determine whether the driver has performed abnormal operations on the vehicle according to the driver's behavior information; If it is determined that the driver operates the vehicle abnormally, it is determined that there is an abnormal road section in the destination area. The road condition early warning method according to claim 1, wherein the determining the cause of the abnormality based on the image of the abnormal road section includes: extracting image features from the image of the abnormal road section; comparing the image features with different types of abnormal features to determine whether the image features are abnormal features; A corresponding abnormal cause is determined according to the abnormal characteristics. A road condition warning device, comprising: Memory; A processor, the processor is used to execute the computer program stored in the memory, so as to realize the road condition warning method according to any one of claims 1 to 8. A storage medium set in a server for storing computer programs. The improvement is that when the computer programs or codes are executed by a processor, the road condition warning method as described in any one of claims 1 to 8 is realized.

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