Vehicle early warning method, early warning system, storage medium and vehicle-mounted terminal

Abstract

The invention provides a vehicle early warning method, an early warning system, a storage medium and a vehicle-mounted terminal. The vehicle early warning method comprises the steps of adjusting acquisition parameters of vehicle-mounted sensing equipment in real time according to current environment information so as to acquire data of vehicles around a current vehicle in real time based on the acquisition parameters and a preset acquisition priority; screening the surrounding vehicle data based on the target early warning scene to obtain key early warning data; and further performing risk judgment based on the key early warning data to obtain target early warning information, and broadcasting the target early warning information to a target vehicle in a preset area range of the current vehicle through vehicle-mounted communication equipment. According to the invention, cooperative early warning between vehicles is realized, and the cooperative early warning mechanism can significantly reduce the probability of occurrence of accidents under the condition of high-speed driving or large traffic flow, thereby providing more powerful guarantee for driving safety.

Description

Technical Field

[0001] The present application relates to the field of early warning technology, and in particular to a vehicle early warning method, early warning system, storage medium and vehicle-mounted terminal. Background Art

[0002] Traditional single-vehicle perception and intelligent driving technologies often rely solely on the vehicle's own cameras, sensors, and other devices to perceive its surroundings. However, this approach has significant limitations. Due to the limited perception range of a single vehicle, it is difficult to fully and timely grasp the dynamic information of surrounding vehicles. For example, in complex traffic scenarios, the dynamics of obscured vehicles and vehicles at long distances are difficult to accurately capture. This makes it difficult for the vehicle to provide timely and accurate warnings of potential risks. At high speeds or in heavy traffic, this limitation can pose serious safety risks.

[0003] Therefore, how to break through the limitations of single-vehicle perception and improve the vehicle's ability to perceive the surrounding environment and the accuracy of risk warnings has become an urgent problem to be solved. Summary of the Invention

[0004] In order to solve the above technical problems, the present application provides a vehicle warning method, warning system, storage medium and vehicle-mounted terminal that can realize coordinated warning between vehicles.

[0005] Specifically, the present application provides a vehicle warning method, including: adjusting the collection parameters of the on-board sensing equipment in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the collection parameters and preset collection priority; screening the surrounding vehicle data based on the target warning scenario to obtain key warning data; and making risk judgments based on the key warning data to obtain target warning information, and broadcasting the target warning information to the target vehicles within the preset area of the current vehicle through the on-board communication equipment.

[0006] In the above technical solution, traditional single-vehicle sensing technology can only realize risk warning of the single vehicle itself, and it is difficult to realize coordination between vehicles. This application makes risk judgment based on key warning data to obtain target warning information, and then broadcasts it to target vehicles within the preset area of the current vehicle through the on-board communication equipment, so that vehicles in the area can obtain potential risks in time and make response preparations in advance, thus realizing coordinated warning between vehicles; in the case of high-speed driving or heavy traffic, this coordinated warning mechanism can significantly reduce the probability of accidents and provide stronger protection for driving safety.

[0007] Furthermore, the obtaining of key warning data includes: matching corresponding warning data types according to target warning scenarios, and filtering the surrounding vehicle data based on the warning data types to obtain key warning data.

[0008] In the above technical solution, the target warning scenarios, such as vehicle blind spot warning, vehicle collision accident warning, vehicle deviation warning, forward emergency braking warning, etc., have different types of surrounding vehicle data that need to be screened for different warning scenarios. Through targeted screening, the interference of irrelevant data can be avoided, so that the system can focus more on important information related to the current warning scenario, provide the accuracy of risk judgment, and at the same time, screen the surrounding vehicle data, and reduce the amount of data that needs to be processed. Within limited computing resources and time, the system can analyze and process the filtered key data more quickly, provide warning response speed, and issue target warning information in a timely manner.

[0009] Furthermore, the current environmental information includes at least weather information and road condition information; obtaining target warning information includes: making risk judgments based on the key warning data and in combination with the current environmental information to obtain preliminary warning information; judging whether the preliminary warning information has been broadcast within a preset time, and if so, continuing to obtain surrounding vehicle data; otherwise compressing the preliminary warning information to obtain target warning information.

[0010] In the above technical solution, different weather conditions will change the braking distance and handling performance of the vehicle, and different road conditions will also increase potential risks. Combining these environmental information to make risk judgments can enable the system to more comprehensively and accurately assess the current driving risks, while making the warning more in line with the actual situation, enhancing the adaptability and practicality of the warning system in various environments; if the preliminary warning information has been broadcast within the preset time, continuing to obtain surrounding vehicle data without repeatedly broadcasting the same warning information can avoid the driver being disturbed by too much repeated information, allowing the driver to focus more on processing important and new warning information, thereby improving driving safety; the communication bandwidth and transmission capacity of on-board communication equipment are limited. After compressing the preliminary warning information, the amount of data that needs to be transmitted can be greatly reduced, reducing communication costs and improving data transmission efficiency.

[0011] In addition, this application also involves adjusting the collection parameters of the on-board sensing equipment according to the current environmental information to improve the accuracy of the collected data; further obtaining surrounding vehicle data based on the collection parameters and preset collection priorities also avoids the collection of secondary data, improves the subsequent data processing speed, and ensures the timeliness of the target warning information broadcast.

[0012] Furthermore, the vehicle-mounted communication equipment includes at least two communication links; in the process of broadcasting the target warning information, it also includes: real-time detection of whether the communication status of the current communication link is normal, if so, continuing to broadcast the target warning information through the current communication link; otherwise, switching to the backup communication link to broadcast the target warning information through the backup communication link.

[0013] In the above technical solution, 5G or future higher-speed communication technologies can be used as the basic communication means to improve data transmission bandwidth and rate and reduce information transmission delay; building redundant communication links (that is, the backup communication links, such as using cellular networks and DSRC technology dedicated to the Internet of Vehicles at the same time) can achieve automatic switching to another communication method when one communication method fails or the signal is poor, thereby ensuring the stability and continuity of information transmission.

[0014] DSRC (Dedicated Short Range Communication) is a wireless mobile communication system that organically combines vehicles and roads through two-way data transmission. It uses computer networks to provide wireless communication services for high-speed information transmission between vehicles in intelligent transportation systems.

[0015] Furthermore, in the process of broadcasting the target warning information, it also includes: broadcasting the target warning information through the current communication link or the backup communication link according to the current environmental information and based on the anonymous communication protocol and / or dynamic identity.

[0016] In the above technical solution, anonymous communication technology is adopted to achieve information sharing and ensure security while avoiding the leakage of private information such as vehicle identity, thereby ensuring users' demand for privacy protection.

[0017] Furthermore, the vehicle warning method also includes: receiving target warning information through a vehicle-mounted sensing device, and performing vehicle risk analysis based on the target warning information, so as to perform risk warning work according to the analysis results.

[0018] In the above technical solution, the vehicle can receive target warning information broadcast from other surrounding vehicles, which enables the driver to know in advance the potential dangers beyond his or her perception range, thereby reducing the probability of accidents.

[0019] Furthermore, based on the same concept, the present application also provides a vehicle warning system, comprising: The acquisition module is used to adjust the acquisition parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and preset acquisition priorities.

[0020] The screening module is used to screen the surrounding vehicle data based on the target warning scenario to obtain key warning data.

[0021] The early warning module is used to make risk judgments based on the key early warning data to obtain target early warning information, and broadcast the target early warning information to target vehicles within the preset area of the current vehicle through the vehicle-mounted communication equipment.

[0022] In the above technical solution, each vehicle equipped with the warning system can be both a sender and a receiver of information, thus forming an interconnected warning network. This collaborative warning mechanism can greatly improve the safety and efficiency of the entire traffic system; and the perception range of a single vehicle is limited. Through information sharing between vehicles, the warning range can be effectively expanded, further enhancing the safety of the entire traffic environment.

[0023] Furthermore, the vehicle warning system further includes: The prompt module is used to receive target warning information through the vehicle-mounted sensing device, and perform vehicle risk analysis based on the target warning information to perform risk prompt work according to the analysis results.

[0024] In the above technical solution, the system automatically receives target warning information and performs risk analysis, which can help the driver understand potential risks in a timely manner, reduce the burden of the driver to always maintain a high level of attention in complex traffic environments, and reduce the probability of accidents.

[0025] Furthermore, based on the same concept, the present application also provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the vehicle warning method when running.

[0026] Furthermore, based on the same concept, the present application also provides a vehicle-mounted terminal, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by the processor to implement the vehicle warning method.

[0027] Compared with the prior art, the present invention has the following advantages: This application adjusts the acquisition parameters of the on-board sensing device in real time based on the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and preset acquisition priorities; then, based on the target warning scenario, the surrounding vehicle data is screened to obtain key warning data; further, risk assessment is performed based on the key warning data to obtain target warning information, and the target warning information is broadcast to the target vehicles within the preset area of the current vehicle via the on-board communication device. This application realizes the coordinated warning between vehicles. In the case of high-speed driving or heavy traffic, this coordinated warning mechanism can significantly reduce the probability of accidents and provide a stronger guarantee for driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of the vehicle warning method described in this application.

[0029] Figure 2 This is a framework diagram of the vehicle warning system described in this application. DETAILED DESCRIPTION

[0030] The following is a further detailed description of a vehicle warning method, warning system, storage medium and vehicle-mounted terminal of the present application in conjunction with specific embodiments and drawings.

[0031] See Figure 1 , this application provides a vehicle warning method, including the following steps S100-S300.

[0032] In some embodiments, during the information collection stage, the on-board sensing equipment is adaptively adjusted according to different weather and road conditions, such as adjusting the exposure parameters of the camera and / or adjusting the transmission power of the ultrasonic sensor, and then the surrounding environment data of the current vehicle is obtained according to the real-time adjusted collection parameters and the preset collection priority. The most relevant information for the target warning scenario (such as the blind spot collision risk scenario) is automatically screened based on the surrounding environment data as key warning data (such as relative speed, relative position, etc.); risk judgment is then made based on the key warning data, as well as the current weather and road conditions to determine whether there is a blind spot collision risk with the vehicles surrounding the current vehicle, and then corresponding warning information (such as the recommended driving speed, the current road friction coefficient, etc.) is obtained; the current vehicle further broadcasts the warning information obtained by anonymous communication to surrounding vehicles.

[0033] Next, the specific implementation of steps S100-S300 is described in detail.

[0034] Step S100: adjusting the collection parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the collection parameters and preset collection priorities; wherein the current environmental information includes at least weather information and road condition information.

[0035] In some embodiments, weather information such as rainy days, foggy days, snowy days, etc., and road condition information such as congested road sections, sharp turns, uphill and downhill slopes, etc.; during the information collection stage, the collection parameters of the on-board sensing equipment are adaptively adjusted according to different weather and road conditions; wherein, the on-board sensing equipment includes at least a camera, an ultrasonic sensor, etc.

[0036] For example, on rainy days, the camera automatically adjusts the exposure parameters and contrast to enhance image clarity. At the same time, the ultrasonic sensor increases the transmission power to ensure accurate detection of the distance to surrounding vehicles even in rainy environments. On complex and congested roads, the ultrasonic sensor also needs to increase the collection frequency to more intensively monitor the vehicle start-stop status and distance changes.

[0037] Furthermore, the preset collection priority is predetermined by those skilled in the art based on different target warning scenarios, such as vehicle blind spot warning, vehicle collision accident warning, vehicle deviation warning, etc.

[0038] For example, in the scenario of vehicle blind spot warning, the first-level priority includes relative speed, driving trajectory, relative position, etc., and the second-level priority includes vehicle model, exterior color, decoration, etc.; for the scenario of vehicle collision accident warning, the first-level priority includes relative distance, relative speed, driving trajectory, etc. of the vehicle, and the second-level priority includes vehicle decoration; for the scenario of vehicle deviation warning, the first-level priority includes the lateral offset data of the vehicle relative to the center line of the lane, the status data of the vehicle turn signal, and the lane position light, and the second-level priority includes vehicle color, etc.

[0039] It should be noted that data with a first-level priority is collected and transmitted first, while data with a second-level priority is collected at a lower frequency or not collected at all, which can be set by those skilled in the art.

[0040] It should also be noted that early warning work for multiple target warning scenarios can be implemented simultaneously.

[0041] In other embodiments, the surrounding vehicle data can also be preliminarily collected based on the collection parameters, such as speed, driving trajectory, steering operation, vehicle appearance, vehicle position, etc., to confirm the corresponding preset collection priority, and then the collection of surrounding vehicle data can be performed based on the collection parameters and the preset collection priority.

[0042] Among them, for example, based on the preliminary collected data of surrounding vehicles, it is detected that there is a target vehicle in the blind spot of a large vehicle. At this time, the target warning scenario is determined, namely the vehicle blind spot warning; for example, it is recognized that the vehicle in front suddenly slows down or stops, which may trigger a scenario of a forward collision accident warning.

[0043] In other embodiments, those skilled in the art may also configure only one of the target warning scenarios when configuring the vehicle.

[0044] Step S200: Filtering the surrounding vehicle data based on the target warning scenario to obtain key warning data.

[0045] Furthermore, the obtaining of key warning data includes: matching corresponding warning data types according to target warning scenarios, and filtering the surrounding vehicle data based on the warning data types to obtain key warning data.

[0046] In some embodiments, a classification algorithm based on machine learning is adopted. By learning from a large amount of historical data, the model can automatically identify and filter out information closely related to the current target warning scenario and filter out redundant information; for example, for the vehicle blind spot warning scenario, the key warning data at this time include relative speed, driving trajectory, relative position, and vehicle model.

[0047] In the above technical solution, the types of surrounding vehicle data that need to be screened are different for different warning scenarios. Through targeted screening, the interference of irrelevant data can be avoided, so that the system can focus more on important information related to the current warning scenario and provide accuracy in risk judgment. At the same time, screening of surrounding vehicle data can also reduce the amount of data that needs to be processed. Within limited computing resources and time, the system can analyze and process the filtered key data more quickly, increase the warning response speed, and issue target warning information in a timely manner.

[0048] Step S300: Perform risk assessment based on the key warning data to obtain target warning information, and broadcast the target warning information to target vehicles within a preset area of the current vehicle via an onboard communication device.

[0049] Furthermore, obtaining target warning information includes: making risk judgments based on the key warning data and in combination with current environmental information to obtain preliminary warning information; judging whether the preliminary warning information has been broadcast within a preset time, and if so, continuing to obtain surrounding vehicle data; otherwise compressing the preliminary warning information to obtain target warning information.

[0050] In some embodiments, when performing risk judgment, current environmental information is added to the algorithm; for example, on icy and snowy roads, the vehicle's safe speed threshold is lowered, and the judgment of the relative speed and distance between the two vehicles is more conservative; on roads with many bends, the impact of the vehicle's turning radius and centrifugal force on the driving trajectory is taken into account to more accurately judge the potential collision risk.

[0051] In addition, during the information broadcast stage, the timeliness of the broadcast content is set. If the preliminary warning information has been broadcast within the preset time, the surrounding vehicle data will continue to be obtained without repeatedly broadcasting the same warning information, so as to avoid the driver being disturbed by too much repeated information. This allows the driver to focus more on processing important and new warning information, thereby improving driving safety.

[0052] The preset time is set by those skilled in the art and is not limited here.

[0053] In the above technical solution, different weather conditions will change the braking distance and handling performance of the vehicle, and different road conditions will also increase potential risks. Combining these environmental information to make risk judgments can enable the system to more comprehensively and accurately assess the current driving risks, while making the warning more in line with the actual situation, enhancing the adaptability and practicality of the warning system in various environments; the communication bandwidth and transmission capacity of on-board communication equipment are limited. After compressing the preliminary warning information, the amount of data that needs to be transmitted can be greatly reduced, reducing communication costs and improving data transmission efficiency.

[0054] In addition, this application also involves adjusting the collection parameters of the on-board sensing equipment according to the current environmental information to improve the accuracy of the collected data; further obtaining surrounding vehicle data based on the collection parameters and preset collection priorities also avoids the collection of secondary data, improves the subsequent data processing speed, and ensures the timeliness of the target warning information broadcast.

[0055] Furthermore, the vehicle-mounted communication equipment includes at least two communication links; in the process of broadcasting the target warning information, it also includes: real-time detection of whether the communication status of the current communication link is normal, if so, continuing to broadcast the target warning information through the current communication link; otherwise, switching to the backup communication link to broadcast the target warning information through the backup communication link.

[0056] In some embodiments, those skilled in the art need to pre-build a redundant communication link (i.e., the backup communication link, such as using both the cellular network and the DSRC technology dedicated to the Internet of Vehicles) to automatically switch to another communication mode when one communication mode fails or the signal is poor; wherein, the current communication link may use 5G or future higher-speed communication technologies as the basic communication means.

[0057] In the above technical solution, the stability and continuity of information transmission are guaranteed by the backup communication link.

[0058] Furthermore, in the process of broadcasting the target warning information, it also includes: broadcasting the target warning information through the current communication link or the backup communication link according to the current environmental information and based on the anonymous communication protocol and / or dynamic identity.

[0059] In some embodiments, if the weather is bad or the road conditions are complex, key risk avoidance information, such as the current road friction coefficient, recommended driving speed, etc., will be broadcast first.

[0060] Furthermore, anonymous communication technology, such as the current vehicle's network request is first sent to a proxy server, which then forwards the request to the target vehicle's server. The target vehicle's server can only see the proxy server's IP address and cannot directly obtain the current vehicle's real IP address.

[0061] Alternatively, dynamic identity identification can be used, with each vehicle using a different temporary identity identification each time it broadcasts to prevent the information from being tracked. For example, when vehicle A broadcasts the road friction coefficient and recommended driving speed, it uses temporary identity ID-12345 to send it, and then changes to another temporary identity during the next broadcast.

[0062] In the above technical solution, anonymous communication technology is adopted to achieve information sharing and ensure security while avoiding the leakage of private information such as vehicle identity, thereby ensuring users' demand for privacy protection.

[0063] Furthermore, the vehicle warning method also includes: receiving target warning information through a vehicle-mounted sensing device, and performing vehicle risk analysis based on the target warning information, so as to perform risk warning work according to the analysis results.

[0064] In some embodiments, after the on-board sensing device of the target vehicle receives the target warning information, it analyzes the target warning information to determine whether the vehicle will be affected by the accident, and then activates the warning prompt device. The driver takes avoidance actions according to the prompt, such as slowing down, changing lanes, etc. At the same time, the vehicle's automatic driving assistance system can automatically optimize the driving strategy based on the target warning information.

[0065] In the above technical solution, the vehicle can receive target warning information broadcast from other surrounding vehicles, which enables the driver to know in advance the potential dangers beyond his or her perception range, thereby reducing the probability of accidents.

[0066] Further, based on the same concept, see Figure 2 , this application also provides a vehicle warning system, including: The acquisition module is used to adjust the acquisition parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and preset acquisition priorities.

[0067] The screening module is used to screen the surrounding vehicle data based on the target warning scenario to obtain key warning data.

[0068] The early warning module is used to make risk judgments based on the key early warning data to obtain target early warning information, and broadcast the target early warning information to target vehicles within the preset area of the current vehicle through the vehicle-mounted communication equipment.

[0069] In the above technical solution, each vehicle equipped with the warning system can be both a sender and a receiver of information, thus forming an interconnected warning network. This collaborative warning mechanism can greatly improve the safety and efficiency of the entire traffic system; and the perception range of a single vehicle is limited. Through information sharing between vehicles, the warning range can be effectively expanded, further enhancing the safety of the entire traffic environment.

[0070] Furthermore, the vehicle warning system further includes: The prompt module is used to receive target warning information through the vehicle-mounted sensing device, and perform vehicle risk analysis based on the target warning information to perform risk prompt work according to the analysis results.

[0071] In the above technical solution, the system automatically receives target warning information and performs risk analysis, which can help the driver understand potential risks in a timely manner, reduce the burden of the driver to always maintain a high level of attention in complex traffic environments, and reduce the probability of accidents.

[0072] Among them, the vehicle warning system and the vehicle warning method are based on the same concept, and their specific implementation methods are the same, which will not be described in detail here.

[0073] Furthermore, based on the same concept, the present application also provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the vehicle warning method when running.

[0074] In some embodiments, the storage medium stores several computer programs for causing an in-vehicle terminal to execute all or part of the steps of the methods described in various embodiments of the present application. The medium may include a USB flash drive, a mobile hard drive, a read-only memory, a random access memory, a magnetic disk, or an optical disk, among other media capable of storing program code.

[0075] Furthermore, based on the same concept, the present application also provides a vehicle-mounted terminal, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by the processor to implement the vehicle warning method.

[0076] In some embodiments, the memory and processor are interconnected via a bus; the processor may be one or more CPUs. When the processor is a CPU, the CPU may be a single-core CPU or a multi-core CPU. The processor is used to control various functional modules of the vehicle terminal and process signals.

[0077] The memory includes but is not limited to RAM (Random Access Memory), ROM (Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), and CD-ROM (Compact Disc Read-Only Memory). The memory is used to store computer programs, operating systems, various applications and data, such as storing computer programs used to implement the vehicle warning method.

[0078] In summary, the present application provides a vehicle warning method, warning system, storage medium, and vehicle-mounted terminal; adjusts the acquisition parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and the preset acquisition priority; then filters the surrounding vehicle data based on the target warning scenario to obtain key warning data; further makes risk judgments based on the key warning data to obtain target warning information, and broadcasts the target warning information to the target vehicle within the preset area of the current vehicle through the vehicle-mounted communication equipment. The present application realizes collaborative warning between vehicles. When driving at high speeds or with heavy traffic, this collaborative warning mechanism can significantly reduce the probability of accidents and provide a stronger guarantee for driving safety.

[0079] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely illustrative and are not intended to limit the scope of the present application. Various changes and modifications may be made therein by those skilled in the art without departing from the scope and spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0080] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units described is merely a logical function division. In actual implementation, other division methods may be used, such as combining or integrating multiple units or components into another device, or ignoring or not performing some features.

[0082] The various component embodiments of the present application can be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some modules according to the embodiments of the present application. The application can also be implemented as a part or all of a device program (e.g., a computer program and a computer program product) for performing the method described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0083] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0084] Although the present application is described in conjunction with the above specific embodiments, it is obvious that those skilled in the art can make many substitutions, modifications and variations based on the above content. Therefore, all such substitutions, improvements and variations are included in the spirit and scope of the appended claims.

Claims

1. A vehicle early warning method, characterized in that: include: Adjusting the acquisition parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and the preset acquisition priority; Filtering the surrounding vehicle data based on the target warning scenario to obtain key warning data; Furthermore, risk assessment is performed based on the key warning data to obtain target warning information, and the target warning information is broadcast to target vehicles within a preset area of the current vehicle via an onboard communication device.

2. The vehicle warning method according to claim 1, characterized in that: The obtaining of key early warning data includes: The corresponding warning data type is matched according to the target warning scenario, and the surrounding vehicle data is filtered based on the warning data type to obtain key warning data.

3. The vehicle warning method according to claim 2, characterized in that: The current environmental information includes at least weather information and road condition information; The obtaining of target warning information includes: Based on the key warning data and combined with current environmental information, risk assessment is performed to obtain preliminary warning information; Determine whether the preliminary warning information has been broadcast within a preset time. If so, continue to obtain surrounding vehicle data; otherwise, compress the preliminary warning information to obtain target warning information.

4. The vehicle warning method according to claim 3, characterized in that: The vehicle-mounted communication device includes at least two communication links; and in the process of broadcasting the target warning information, further includes: Real-time detection of whether the communication status of the current communication link is normal, if so, continue to broadcast the target warning information through the current communication link; otherwise, switch to the backup communication link to broadcast the target warning information through the backup communication link.

5. The vehicle warning method according to claim 4, characterized in that: The process of broadcasting the target warning information also includes: According to the current environmental information and based on the anonymous communication protocol and / or dynamic identity identification, the target warning information is broadcast through the current communication link or the backup communication link.

6. The vehicle warning method according to claim 5, characterized in that: Also includes: Target warning information is received through the vehicle-mounted sensing device, and vehicle risk analysis is performed based on the target warning information to perform risk warning work according to the analysis results.

7. A warning system using the vehicle warning method according to any one of claims 1 to 6, characterized in that: include: The acquisition module is used to adjust the acquisition parameters of the vehicle-mounted sensing device in real time according to the current environmental information, so as to obtain the surrounding vehicle data of the current vehicle in real time based on the acquisition parameters and the preset acquisition priority; A screening module, configured to screen the surrounding vehicle data based on a target warning scenario to obtain key warning data; The early warning module is used to make risk judgments based on the key early warning data to obtain target early warning information, and broadcast the target early warning information to target vehicles within the preset area of the current vehicle through the vehicle-mounted communication equipment.

8. The early warning system according to claim 7, characterized in that: Also includes: The prompt module is used to receive target warning information through the vehicle-mounted sensing device, and perform vehicle risk analysis based on the target warning information to perform risk prompt work according to the analysis results.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the vehicle early warning method according to any one of claims 1 to 6 when running.

10. A vehicle-mounted terminal, characterized in that: The vehicle-mounted terminal includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the vehicle warning method as described in any one of claims 1-6.

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