A pre-warning method and device of a vehicle, an electronic device and a computer readable storage medium
By collecting traffic video data from the vehicle's rearview camera to assess collision risks and execute warning actions, the system solves the problem of delayed protection in active seat belt systems and enables linkage between active seat belts and rear collision warning systems to provide early protection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA FAW CO LTD
- Filing Date
- 2026-05-28
- Publication Date
- 2026-07-14
Smart Images
Figure CN122379535A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle technology, and more specifically, to a vehicle warning method, device, electronic device, and computer-readable storage medium. Background Technology
[0002] With the continuous development of automotive safety technology, active seat belt systems have become an important component of passive safety in modern vehicles. Traditional active seat belt systems are mainly divided into two categories: pretensioners and force-limiting pretensioners. Their working principle involves using vehicle acceleration sensors to detect sudden changes in the vehicle's motion. In the event of a collision or sudden braking, the pretensioner is triggered, rapidly tightening the seat belt webbing to eliminate any slack between the webbing and the occupant, thus securely fixing the occupant to the seat. Simultaneously, the force-limiting mechanism can buffer the impact force of a collision, effectively reducing the occupant's body displacement due to inertia and lowering the risk of injury to critical areas such as the head and chest.
[0003] Existing active seat belt systems use a "passive triggering" mechanism, which only activates the pretensioning function at the moment when a collision has occurred or is about to occur (usually within 0.5 seconds before the collision), lacking the ability to provide early protection. Summary of the Invention
[0004] The purpose of this application is to provide a vehicle warning method, device, electronic device, and computer-readable storage medium to solve the technical problem of delayed seat belt protection in existing vehicle collision safety systems.
[0005] In a first aspect, the present invention provides a vehicle warning method, the method comprising acquiring a traffic environment video of the target vehicle behind a vehicle captured by an in-vehicle rearview camera; determining whether the target vehicle has a collision risk based on the traffic environment video; if a collision risk exists, determining the corresponding collision risk level; and executing a corresponding collision warning action based on the collision risk level.
[0006] In an optional implementation, the collision risk level includes low risk level, medium risk level and high risk level; When the collision risk is medium, the collision warning actions include: Control the interior ambient lighting and rearview mirror indicator lights of the target vehicle to be yellow and constantly lit; Control the target vehicle's audio system to play a low-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; Control the central control screen of the target vehicle to play traffic environment videos.
[0007] In an optional implementation, when the collision risk is high, the collision warning action includes: Control the ambient lighting and rearview mirror indicator lights inside the target vehicle to turn red and flash; Control the target vehicle's audio system to play a high-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; Control the tightening of the seat belts in the target vehicle.
[0008] In an optional implementation, the step of determining whether a target vehicle poses a collision risk based on traffic environment video specifically includes: Target detection is performed on traffic environment videos to identify vehicles behind the vehicle; Based on the continuous inter-frame optical flow displacement and the prior vehicle size, the relative distance and relative speed of the rear vehicle target relative to the target vehicle are calculated; The collision time (TTC) is calculated based on the relative distance and relative velocity. When TTC is less than or equal to a preset threshold and the relative speed is negative, a collision risk is identified.
[0009] In an optional implementation, when TTC is greater than a first threshold, the collision risk is determined to be low risk; When the second threshold is less than TTC, the collision risk is determined to be medium risk; When TTC is less than or equal to the second threshold, the collision risk is determined to be high risk; The first threshold is greater than the second threshold.
[0010] In an optional implementation, the step of controlling the tightening of the seat belt in the target vehicle specifically includes: After determining a preset duration for which the collision risk is high, a seatbelt pretensioning trigger signal is generated and sent to the seatbelt control module.
[0011] In an optional implementation, when the collision risk is determined to be eliminated, all warning actions are simultaneously turned off, and a reset signal is sent to the seat belt control module to release the seat belt pretensioner from its pretensioned state and restore it to its initial relaxed state.
[0012] Secondly, the present invention provides a vehicle warning device, the device comprising: The acquisition module is used to acquire video of the traffic environment behind the target vehicle captured by the vehicle's rear-view camera. The judgment module is used to determine whether a target vehicle poses a collision risk based on traffic environment video. If a collision risk exists, the corresponding collision risk level is determined. The execution module is used to execute corresponding collision warning actions based on the collision risk level.
[0013] Thirdly, the present invention provides an electronic device, comprising: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the warning method for any of the vehicles described in the foregoing embodiments.
[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the warning method for any of the vehicles described in the foregoing embodiments.
[0015] This application provides a vehicle early warning method, device, electronic device, and computer-readable storage medium. The method includes acquiring traffic environment video behind a target vehicle captured by an in-vehicle rearview camera; determining whether there is a collision risk to the target vehicle based on the traffic environment video; if a collision risk exists, determining the corresponding collision risk level; and executing a corresponding collision warning action based on the collision risk level. The vehicle early warning method provided in this application achieves linkage between active seat belts and RCW (Responsive Collision Warning) alerts, activating pretensioning in advance to provide active protection for occupants when a collision risk occurs but no actual collision occurs. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 A flowchart illustrating a vehicle early warning method provided in an embodiment of this application; Figure 2 A schematic diagram of the structure of a vehicle warning device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0018] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.
[0019] Example 1 In one embodiment of this application, a vehicle is provided, including at least a rear collision warning system and an active seat belt system.
[0020] The rear collision warning system includes components such as a driver assistance control unit, a cabin control unit, a rearview camera, rearview mirror indicator lights, interior ambient lighting, taillight indicator lights, audio system, and a central control screen.
[0021] The rear-view camera, located at the rear of the vehicle, is responsible for collecting traffic information from behind.
[0022] The driver assistance control unit is responsible for processing video information from the rearview camera, determining whether there is a collision risk and the level of that risk, and storing collision risk data for a certain period.
[0023] The cockpit control unit is responsible for further processing the collision risk signals and controlling components such as the rearview mirror indicator lights, taillight indicator lights, audio system, and central control screen to provide different levels of alarm prompts.
[0024] The active seatbelt system is responsible for responding to collision risk signals and, upon receiving the correct alarm signal, will activate the seatbelt pretensioning function.
[0025] Figure 1 A flowchart illustrating a vehicle early warning method provided in an embodiment of this application. Figure 1 As shown, this application provides a vehicle warning method, comprising: S1. Acquire the traffic environment video behind the target vehicle captured by the vehicle's rearview camera.
[0026] In step S1, it is also necessary to obtain the vehicle's speed, location, and other operational information.
[0027] S2. Based on traffic environment video, determine whether the target vehicle is at risk of collision.
[0028] Step S2, which determines whether the target vehicle poses a collision risk, specifically includes: Target detection is performed on traffic environment videos to identify rear vehicle targets. Based on continuous inter-frame optical flow displacement and prior vehicle dimensions, the relative distance and relative velocity of the rear vehicle target relative to the target vehicle are calculated. The collision time (TTC) is then calculated based on the relative distance and relative velocity.
[0029] When TTC is less than or equal to a preset threshold and the relative speed is negative, a collision risk is identified.
[0030] S3. If there is a collision risk, determine the corresponding collision risk level.
[0031] For example, when the TTC is greater than a first threshold, the collision risk is determined to be low. When the second threshold is less than the TTC, the collision risk is determined to be medium. When the TTC is less than or equal to the second threshold, the collision risk is determined to be high.
[0032] The first threshold is greater than the second threshold.
[0033] If there is no risk of collision, return to monitoring.
[0034] S4. Based on the collision risk level, execute the corresponding collision warning action.
[0035] Collision risk levels are categorized into low risk, medium risk, and high risk.
[0036] When the collision risk is medium, the collision warning actions include: Control the target vehicle's interior ambient lighting and rearview mirror indicator lights to turn yellow and remain constantly lit; control the target vehicle's audio system to play low-frequency warning sounds; control the target vehicle's taillights to flash at a high frequency; control the target vehicle's central control screen to play traffic environment videos.
[0037] When the collision risk is high, the collision warning actions include: Control the target vehicle's interior ambient lighting and rearview mirror indicator lights to turn red and flash; control the target vehicle's audio system to play a high-frequency warning tone; control the target vehicle's taillights to flash at a high frequency; control the target vehicle's seat belts to tighten.
[0038] Here, we will further explain the alarm logic. This system adopts a tiered early warning method, with a total of two alarm levels, as detailed below: Low risk: It only records data, does not trigger any warning actions, and does not interfere with the driver's normal driving.
[0039] Medium risk: Level 1 warning is activated, including ambient lighting inside the vehicle, yellow warning lights on the rearview mirrors remaining constantly lit, low-frequency warning sounds, and high-frequency flashing of taillight warning lights, while also triggering the activation of the visual display module.
[0040] By collecting and displaying road condition information behind the vehicle using a rear camera, drivers can quickly and accurately assess the level of danger.
[0041] High risk: Initiate a level 2 warning, including ambient lighting inside the vehicle, flashing red warning lights on the rearview mirror, continuous high-frequency warning sound, and continuous high-frequency flashing of the taillights. At the same time, immediately send a pretensioning trigger signal to the active seat belt linkage control module to achieve simultaneous activation of warning and pretensioning.
[0042] In one feasible implementation, the step of controlling the tightening of the seat belt in the target vehicle specifically includes: After determining a preset duration for which the collision risk is high, a seatbelt pretensioning trigger signal is generated and sent to the seatbelt control module.
[0043] When the collision risk is determined to be eliminated, all warning actions are simultaneously turned off, and a reset signal is sent to the seat belt control module to release the seat belt pretensioner from its pretensioned state and restore it to its initial relaxed state.
[0044] If the driver assistance control unit recognizes that the rear collision warning has been cancelled, it immediately cancels all warning actions, including warning lights, warning sounds, and visual images, and the active seat belt system returns to normal.
[0045] The vehicle warning method provided in this application collects road traffic information behind the vehicle using a rearview camera and transmits it to the driver assistance control unit to assess the collision risk of objects behind the vehicle. If a collision risk exists, the system alerts the driver with an audible alarm, rearview mirror warning lights, and rear road condition video based on the risk level. It also alerts other road users behind the vehicle via taillights. When necessary, the system uses active seatbelts to pretension the seatbelts in advance to reduce driver injury after a collision. This method solves the problems of delayed triggering and lack of early protection capabilities in existing active seatbelt systems. It achieves linkage between active seatbelts and RCW (Responsive Traffic Warning) systems, pretensioning is initiated in advance when a collision risk occurs but no actual collision occurs, providing active protection for occupants. By establishing interactive and collaborative control logic between the two systems, a complete protection chain is formed, fully leveraging the protective advantages of each system and improving the overall active safety level of the vehicle.
[0046] Example 2 Figure 2 This is a schematic diagram of the structure of a vehicle warning device provided in an embodiment of this application. Figure 2 As shown, based on the same inventive concept, this application also provides a vehicle warning device 20, which includes: The acquisition module 210 is used to acquire traffic environment video behind the target vehicle captured by the vehicle-mounted rearview camera; The judgment module 220 is used to determine whether the target vehicle has a collision risk based on the traffic environment video; If a collision risk exists, the corresponding collision risk level is determined. The execution module 230 is used to execute the corresponding collision warning action based on the collision risk level.
[0047] Collision risk levels are categorized into low risk, medium risk, and high risk.
[0048] When the collision risk is medium, the collision warning actions include: Control the interior ambient lighting and rearview mirror indicator lights of the target vehicle to be yellow and constantly lit; Control the target vehicle's audio system to play a low-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; Control the central control screen of the target vehicle to play traffic environment videos.
[0049] In an optional implementation, when the collision risk is high, the collision warning action includes: Control the ambient lighting and rearview mirror indicator lights inside the target vehicle to turn red and flash; Control the target vehicle's audio system to play a high-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; Control the tightening of the seat belts in the target vehicle.
[0050] In an optional implementation, the judgment module 220 is specifically used to perform target detection on the traffic environment video and identify the vehicle target behind; Based on the continuous inter-frame optical flow displacement and the prior vehicle size, the relative distance and relative speed of the rear vehicle target relative to the target vehicle are calculated; The collision time (TTC) is calculated based on the relative distance and relative velocity. When TTC is less than or equal to a preset threshold and the relative speed is negative, a collision risk is identified.
[0051] In an optional implementation, when TTC is greater than a first threshold, the collision risk is determined to be low risk; When the second threshold is less than TTC, the collision risk is determined to be medium risk; When TTC is less than or equal to the second threshold, the collision risk is determined to be high risk; The first threshold is greater than the second threshold.
[0052] In an optional implementation, the step of controlling the tightening of the seat belt in the target vehicle specifically includes: After determining a preset duration for which the collision risk is high, a seatbelt pretensioning trigger signal is generated and sent to the seatbelt control module.
[0053] In an optional implementation, when the collision risk is determined to be eliminated, all warning actions are simultaneously turned off, and a reset signal is sent to the seat belt control module to release the seat belt pretensioner from its pretensioned state and restore it to its initial relaxed state.
[0054] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 As shown, the electronic device 300 includes a processor 310, a memory 320, and a bus 330.
[0055] The memory 320 stores machine-readable instructions that can be executed by the processor 310. When the electronic device 300 is running, the processor 310 and the memory 320 communicate via the bus 330. When the machine-readable instructions are executed by the processor 310, the steps of a vehicle warning method as described in the above method embodiment can be executed. For specific implementation details, please refer to the method embodiment, which will not be repeated here.
[0056] Example 4 This application also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, it can execute the steps of a vehicle warning method as described in the above embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.
[0057] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0058] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.
[0059] Furthermore, the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0060] Furthermore, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0061] It should be noted that if the function is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0062] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.
[0063] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. A vehicle early warning method, characterized in that, The method includes: Acquire video of the traffic environment behind the target vehicle, captured by the vehicle's rearview camera; Based on the traffic environment video, it is determined whether the target vehicle poses a collision risk; If a collision risk exists, the corresponding collision risk level is determined. Based on the collision risk level, execute the corresponding collision warning action.
2. The method according to claim 1, characterized in that, Collision risk levels are categorized into low risk, medium risk, and high risk. When the collision risk is medium, the collision warning actions include: Control the ambient lighting and rearview mirror indicator lights inside the target vehicle to be yellow and constantly on; Control the target vehicle's audio system to play a low-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; The central control screen of the target vehicle plays the aforementioned traffic environment video.
3. The method according to claim 2, characterized in that, When the collision risk is high, the collision warning actions include: Control the ambient lighting and rearview mirror indicator lights inside the target vehicle to turn red and flash; Control the target vehicle's audio system to play a high-frequency alert tone; Control the taillights of the target vehicle to flash at a high frequency; Control the tightening of the seat belts in the target vehicle.
4. The method according to claim 1, characterized in that, The step of determining whether a target vehicle poses a collision risk based on the traffic environment video specifically includes: Target detection is performed on the traffic environment video to identify vehicles behind the vehicle; Based on the inter-frame optical flow displacement and the prior vehicle size, the relative distance and relative speed of the rear vehicle target relative to the target vehicle are calculated; The collision time TTC is calculated based on the relative distance and relative velocity. When TTC is less than or equal to a preset threshold and the relative speed is negative, a collision risk is identified.
5. The method according to claim 4, characterized in that, When TTC is greater than the first threshold, the collision risk is determined to be low risk; When the second threshold is less than TTC, the collision risk is determined to be medium risk; When TTC is less than or equal to the second threshold, the collision risk is determined to be high risk; Wherein, the first threshold is greater than the second threshold.
6. The method according to claim 3, characterized in that, The steps for controlling the tightening of the seat belts in the target vehicle specifically include: After determining a preset duration for which the collision risk is high, a seatbelt pretensioning trigger signal is generated and sent to the seatbelt control module.
7. The method according to claim 1 or 6, characterized in that, When the collision risk is determined to be eliminated, all warning actions are simultaneously deactivated, and a reset signal is sent to the seat belt control module to release the seat belt pretensioner from its pretensioned state and restore it to its initial relaxed state.
8. A vehicle warning device, characterized in that, The device includes: The acquisition module is used to acquire video of the traffic environment behind the target vehicle captured by the vehicle's rear-view camera. The judgment module is used to determine whether the target vehicle poses a collision risk based on the traffic environment video. If a collision risk exists, the corresponding collision risk level is determined. The execution module is used to execute corresponding collision warning actions based on the collision risk level.
9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the warning method for a vehicle as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the warning method for the vehicle as described in any one of claims 1 to 7.