TWI816271B - 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, equipment and storage medium

This application relates to the technical field of Internet of Vehicles, and specifically relates to a road condition early warning method, equipment and storage medium.

Currently, when an abnormal condition occurs on the road (such as collapse, water accumulation, foreign object obstruction, or car accident, etc.), the abnormal condition is usually confirmed on site and warning signs are set up on the abnormal road sections to provide early warning. If the early warning is not timely, it may cause serious congestion on the abnormal road section and even cause a road traffic accident.

This application provides a road condition early warning method, equipment and storage medium, which can remotely confirm abnormal road conditions and provide timely warning to vehicles that may enter abnormal road sections.

The first aspect of this application provides a road condition early warning method, including: acquiring the driving information of a plurality of vehicles in the destination area; determining whether there is an abnormal road section in the destination area based on the driving information of the plurality of vehicles; if there is an abnormal road section in the destination area , then the cause of the abnormality is determined based on the image of the abnormal road section; an early warning is provided for the abnormal road section.

A second aspect of the present application provides a road condition early warning device, which includes a memory and a processor. 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 this application provides a storage medium, which is installed on the server and used to store computer programs. When the computer program is executed by the processor, the road condition early warning method of the embodiment of this application is implemented.

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

10: Road warning equipment

11: Processor

12:Memory

13: Communication interface

30: Road condition warning device

31: Collection module

32:Judgement module

33:Analysis module

34: Early warning module

S21-S24: Steps

Figure 1 is a block diagram of a road condition early warning device according to an embodiment of the present application.

Figure 2 is a flow chart of a road condition early warning method according to an embodiment of the present application.

Figure 3 is a block diagram of a road condition early warning device according to an embodiment of the present application.

In order to understand the above objects, features and advantages of the present application more clearly, the present application will be described in detail below with reference to the accompanying drawings and specific embodiments. Plural specific details are set forth in the following description to facilitate a full understanding of the present application. The described embodiments are only some, but not all, of the embodiments of the present application.

It should be noted that although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a sequence different from that in the flowchart. In the embodiment of this application A disclosed method includes one or more steps or actions for implementing the method. Method steps and/or actions may be interchanged with each other 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. The above components can be connected through a bus or directly.

The processor 11 is used to execute the computer program stored in the memory 12 to implement the road condition warning method according to the embodiment of the present application (see details below). The processor 11 includes, but is not limited to, a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), and 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.

The memory 12 includes volatile or non-volatile memory components, such as digital disks (DVDs) or other optical discs, magnetic disks, hard drives, smart media cards (SMC), secure digital (Secure Digital) , SD) card, flash memory card (Flash Card), etc.

The communication interface 13 is used to realize 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, smartphones, tablets, laptops, smart speakers, smart watches, vehicle servers, vehicle sensors, etc. Data can be transmitted between the server and the vehicle terminal through the wireless communication network. Wireless communication networks include, but are not limited to, Wireless Local Area Networks (WLAN), cellular communication networks (for example, 2G/3G/4G/5G, etc.), satellite communication networks, etc.

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

In another implementation, the road condition warning device 10 may be a vehicle terminal. The traffic warning device 10 communicates with the server through the communication interface 13 over the network. In other embodiments, the road condition warning device 10 can also perform network communication with vehicle terminals on other vehicles through the communication interface 13 .

It can be understood that the road condition warning device 10 may also include more or less components, or have different component 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 flow chart of a road condition early warning method according to an embodiment of the present application. The road condition warning method can be executed by the above-mentioned road condition warning device 10 . The road condition warning method includes the following steps:

S21: Acquire the 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 capture the driving information of the vehicles in the destination area. After receiving the instruction, the vehicle can send its driving information to the road condition warning device 10 through the vehicle terminal. In other embodiments, vehicles in the destination area can also actively send their driving information to the road condition warning device 10 through the vehicle terminal. The destination area refers to the coverage area of the vehicle's scheduled driving route from the departure point to the destination.

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

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

In other implementations, the driving information may also include at least one of the following: map information and driver behavior information. Among them, map information refers to geographical and transportation information in the form of images, animations or videos. In one implementation, the traffic warning device 10 can retrieve map information through an application program, which can provide map information services, such as Baidu Map, Amap, etc.

Driver behavior information refers to information about 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 vehicle status, 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 receiving the request, other vehicles 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 the server receives the request, it can send instructions to all vehicles in the destination area. To capture the driving information of all vehicles in the destination area. After receiving the instruction, vehicles in the destination area can send their driving information to the server through the corresponding vehicle terminal. After receiving the driving information of all vehicles in the destination area, the server can send the driving information of other vehicles in the destination area to the road condition warning device 10 . In other implementations, after the server receives the traveling information of all vehicles in the destination area, it may also broadcast the traveling 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 based on the driving information of multiple 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, it ends.

In one embodiment, the road condition warning device 10 can monitor the status of the vehicle in real time based on sensor information, and determine whether there is an abnormal road section in the destination area by determining whether the vehicle is driving abnormally. Driving abnormalities include abnormal detours, abnormal parking, or abnormal driving speeds.

In one embodiment, the road condition warning device 10 can monitor the geographical location of the vehicle in real time based on the positioning information, so that after determining that there is an abnormal road section in the destination area, the location of the abnormal road section can be determined in a timely manner. The road condition warning device 10 uses the positioning information to determine a fixed point where no vehicle passes, 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 based on map information. For example, the road condition warning device 10 can determine whether there are closed roads or traffic jams in the destination area based on map information, so that the driving route can be re-planned to avoid driving into the closed roads or traffic jams.

The road condition warning device 10 can also determine whether the driver performs abnormal operations on the vehicle based on the driver's behavior information, thereby determining 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 on non-turning corners or non-rotating road sections.

The road condition warning device 10 can also determine whether the driver performs abnormal operations on the vehicle based on the driver's behavior information and positioning information, thereby determining whether there is an abnormal road section in the destination area.

S23: Determine the cause of the abnormality based on the image of the abnormal road section.

The road condition warning device 10 captures images of abnormal road sections. In one embodiment, the road condition warning device 10 can capture images of abnormal road sections by calling the vehicle's camera. 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. The network traffic management platform can capture images through surveillance cameras installed on the abnormal road sections. Images of abnormal road sections.

The road condition warning device 10 determines the cause of the abnormality based on the image of the abnormal road section. Abnormal causes include road collapse, water accumulation, potholes, foreign objects, 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 characteristics, abnormal road conditions and abnormal causes. The road condition warning device 10 can use different types of abnormal features to determine the abnormal road conditions and abnormal causes 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, provide early warning for abnormal road sections.

In one embodiment, the road condition warning device 10 can provide warnings for abnormal road sections through at least one of the following methods: broadcast notifications, message push, voice prompts or text prompts, etc.

In one embodiment, the road condition warning device 10 can send warning messages to all vehicles in the destination area, so that vehicles that may enter the abnormal road section can be warned in advance. In other embodiments, the road condition early warning device 10 can also send an early warning message to an online traffic management platform, thereby providing early warning to vehicles in a larger geographical area through the online traffic management platform. Traffic warning The device 10 can also add the cause of the abnormality to the warning message and send the warning message to the traffic management department, thereby assisting the traffic management department in timely inspection and maintenance of abnormal road sections.

It can be understood that the road condition warning device 10 may also execute step S23 after executing 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 warning device 30 includes a collection module 31 , a judgment module 32 , an analysis module 33 and a 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 a plurality of vehicles in the destination area.

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

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

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

In one embodiment, when the road condition warning device 30 is a server, the collection module 31 can send instructions to vehicles in the destination area to capture the driving information of the vehicles. After receiving the instruction, the vehicle can send its driving information to the road condition warning device 30 through the vehicle terminal, and the collection module 31 receives the driving information. In other embodiments, vehicles in the destination area can also actively send their driving information to the road condition warning device 30 through the vehicle terminal. The destination area refers to the coverage area of the vehicle's scheduled driving route from the departure point to the destination.

In one implementation, 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 vehicle status.

In another embodiment, when the road condition warning device 30 is a vehicle terminal, the collection module 31 can send requests to other vehicles in the destination area to capture the traffic information of other vehicles in the destination area. Driving information. 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 collection module 31 receives the driving information.

In another implementation, when the road condition warning device 30 is a vehicle terminal, the collection module 31 can send a request to the server to capture 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 receiving the instruction, vehicles in the destination area 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 collection module 31 receives the driving information. In other embodiments, after the server receives the traveling information of all vehicles in the destination area, it may also broadcast the traveling information of all vehicles in the destination area to all vehicles in the destination area, and the acquisition module 31 receives the traveling information.

In one embodiment, the determination module 32 can monitor the status of the vehicle in real time based on the sensor information, and determine whether there is an abnormal road section in the destination area by determining whether the vehicle is driving abnormally. Driving abnormalities include abnormal detours, abnormal parking, or abnormal driving speeds.

In one embodiment, the determination module 32 can monitor the geographical location of the vehicle in real time based on the positioning information, so that after determining that there is an abnormal road section in the destination area, the location of the abnormal road section can be determined in a timely manner.

In one implementation, the analysis module 33 captures images of abnormal road sections and determines the cause of the abnormality based on the images of abnormal road sections. Abnormal causes include road collapse, water accumulation, potholes, foreign objects, or car accidents.

In one implementation, the analysis module 33 can capture images of abnormal road sections by calling the vehicle's camera. 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. The network traffic management platform can capture images through surveillance cameras installed on the abnormal road sections. Images of abnormal road sections.

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 characteristics, abnormal road conditions and abnormal causes. The analysis module 33 can use different types of abnormal features to determine the abnormal road conditions and abnormal causes corresponding to the abnormal features.

In one implementation, 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 an early warning message to all vehicles in the destination area, so that vehicles that may enter the abnormal road section can be warned in advance. In other embodiments, the early warning module 34 can also send an early warning message to the network traffic management platform, thereby providing early warning to vehicles in a larger geographical area through the network traffic management platform. The early warning module 34 can also add abnormal causes to the early warning message and send the early warning message to the traffic management department, thereby assisting the traffic management department in timely inspection and maintenance of abnormal road sections.

It can be understood that the collection module 31 , the judgment module 32 , the analysis module 33 and the warning module 34 can be a microcontroller, a processor or a special application integrated circuit, etc., and can execute the road condition warning method of the embodiment of the present application.

In one implementation, the collection 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 the computer program can be executed by the processor 11 of the road condition warning device 10 to implement the road condition warning method according to the embodiment of the present application.

Embodiments of the present application also provide a storage medium, which is provided in a server and used to store a computer program. When the computer program is executed by a processor, the road condition early warning method of the embodiment of the present application is implemented.

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, fast Flash memory or other memory technology, CD-ROM, digital disk (DVD) or other optical disk storage, magnetic cassettes, tapes, magnetic disk storage or other magnetic storage devices, or can be used to store the desired information and can be Any other media accessed by the computer.

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

In a hardware implementation, the division between functional modules mentioned in the above description does not necessarily correspond to the division of physical components. For example, one physical element may have multiple 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, a digital signal processor, or a microprocessor, or as hardware, or as integrated circuits, such as a dedicated integrated circuits. Such software can be distributed on storage media.

The embodiments of the present application have been described in detail in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned embodiments. Within the scope of knowledge possessed by ordinary people with ordinary skills in the technical field, the present application can also be modified without departing from the purpose of the present application. Make various changes.

S21-S24: Steps

Claims (9)

A road condition early warning method includes: acquiring the driving information of a plurality of vehicles in a destination area; determining whether there is an abnormal road section in the destination area based on the driving information of the plurality of vehicles; if it is determined that there is an abnormality in the destination area road section, by calling the cameras of the plurality of vehicles to capture the abnormal road section to capture the image of the abnormal road section, and determine the cause of the abnormality based on the image of the abnormal road section, including: from the abnormal road section Extract image features from the image; compare the image features with different types of abnormal features to determine whether the image features are abnormal features; determine the corresponding abnormal road conditions and the resulting causes based on the abnormal features Describe the abnormal causes of abnormal road conditions; provide early warning for the abnormal road sections. The road condition early warning method of claim 1, wherein the driving information at least includes positioning information and sensor information. As described in claim 2, the road condition early warning method is characterized in that 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 based on the driving information of the plurality of vehicles includes: determining the plurality of vehicles based on the sensor information. Whether the vehicle is driving abnormally; if it is determined that the plurality of vehicles are driving abnormally, it is determined that an abnormal road section exists in the destination area. The road condition early warning method as described in claim 4, wherein the method is After determining that an abnormal road section exists in the destination area, the method further includes: determining the location of the abnormal road section based on the positioning information. The road condition early warning method of claim 3, wherein determining whether there is an abnormal road section in the destination area based on the driving information of the plurality of vehicles includes: determining whether there is an abnormal road section in the destination area based on the map information. Are there any road closures or traffic jams? The road condition early warning method of claim 3, wherein determining whether there is an abnormal road section in the destination area based on the driving information of the plurality of vehicles includes: determining whether the driver is right or not based on the driver behavior information. The vehicle performs abnormal operations; if it is determined that the driver performed abnormal operations on the vehicle, it is determined that there is an abnormal road section in the destination area. A road condition warning device includes: a memory; and a processor. The processor is used to execute a computer program stored in the memory to implement the road condition warning method described in any one of claims 1 to 7. A storage medium is provided in a server and is used to store a computer program. The improvement is that when the computer program or code is executed by a processor, the road condition early warning method as described in any one of claims 1 to 7 is implemented.

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