Yts-based vehicle-mounted intelligent scene generation method and device and electronic equipment

Abstract

The application provides a YTS-based vehicle-mounted intelligent scene generation method and device and electronic equipment, relates to the technical field of data processing, and solves the technical problem of low effectiveness of vehicle rear-end collision avoidance. The method comprises the following steps: acquiring the real-time relative position distance and the real-time relative direction angle between the ego vehicle and the target vehicle through an ultra-wideband communication chip; generating a vehicle-mounted intelligent scene real-time image containing multiple target vehicles and the ego vehicle through a YTS system based on multiple real-time relative position distances and multiple real-time relative direction angles between the multiple target vehicles and the ego vehicle, and displaying the vehicle-mounted intelligent scene real-time image in a graphical user interface provided by the ego vehicle; and determining the target real-time relative position distance and the target real-time relative direction angle between the third target vehicle in front of the ego vehicle and the ego vehicle based on the vehicle-mounted intelligent scene real-time image.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method, apparatus and electronic device for generating in-vehicle intelligent scenes based on YTS. Background Technology

[0002] Currently, a rear-end collision refers to the incident where the front of a following vehicle collidees with the rear of the vehicle in front when two vehicles are traveling in the same lane. This is primarily caused by following distances less than the minimum safe distance, slow driver reaction, or poor braking system performance. Rear-end collisions in the fast lane produce the most severe chain reactions because of the generally higher speeds; if two vehicles rear-end each other, a chain reaction of vehicles is likely to follow, a common phenomenon known as a "car swarm." Therefore, current vehicle systems have relatively low effectiveness in avoiding rear-end collisions. Summary of the Invention

[0003] The purpose of this invention is to provide a vehicle-mounted intelligent scene generation method, device, and electronic device based on YTS, so as to solve the technical problem of low effectiveness of vehicles in avoiding rear-end collisions.

[0004] In a first aspect, the present invention provides a method for generating in-vehicle intelligent scenes based on YTS, wherein both the vehicle and the target vehicle are equipped with ultra-wideband communication chips; the method includes: The real-time relative position distance and real-time relative direction angle between the vehicle and the target vehicle are obtained through the ultra-wideband communication chip. Based on the multiple real-time relative position distances and multiple real-time relative direction angles between the multiple target vehicles and the vehicle itself, the YTS system generates a real-time image of the in-vehicle intelligent scene containing the multiple target vehicles and the vehicle itself, and displays the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself. In response to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene being less than a specified distance, and the speed of the second target vehicle being detected by the ultra-wideband communication chip being greater than a specified speed, a rear-end collision warning signal is issued through the YTS system corresponding to the vehicle, and the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle are determined based on the real-time image of the vehicle intelligent scene. Based on the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target, the YTS system analyzes the maximum acceleration threshold that the vehicle can accelerate through based on the real-time image of the in-vehicle intelligent scene, and displays a prompt message of the maximum acceleration threshold based on the real-time image of the in-vehicle intelligent scene.

[0005] In an optional implementation, after analyzing the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the in-vehicle intelligent scene using the YTS system according to the current speed of the third target vehicle, the vehicle's own speed, the real-time relative position distance of the target, and the real-time relative direction angle of the target, the method further includes: In response to the ultra-wideband communication chips corresponding to the first target vehicle and the second target vehicle both detecting that the vehicle vibration level is greater than the specified vibration level, the YTS system corresponding to its own vehicle issues an alarm signal that a rear-end collision has occurred, and controls its own vehicle to accelerate in advance within the range of the maximum acceleration threshold.

[0006] In an optional implementation, the step of responding to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the in-vehicle intelligent scene being less than a specified distance, and detecting through the ultra-wideband communication chip that the speed of the second target vehicle is greater than a specified speed, and issuing a rear-end collision warning signal through the YTS system corresponding to the vehicle, includes: Based on the real-time image of the in-vehicle intelligent scene, a first target vehicle located behind the vehicle itself and a second target vehicle located behind the first target vehicle are determined. The real-time relative position and distance between the first target vehicle and the second target vehicle are analyzed using the AI ​​mapping module of the YTS system. The current speed of the second target vehicle is detected by the ultra-wideband communication method of the ultra-wideband communication chip. In response to the real-time relative position distance being less than a specified distance and the current vehicle speed being greater than a specified speed, a warning signal of impending rear-end collision is issued through the YTS system corresponding to the vehicle.

[0007] In an optional implementation, before the real-time relative position distance between a first target vehicle located behind the vehicle and a second target vehicle located behind the first target vehicle in the real-time image of the in-vehicle intelligent scene is less than a specified distance, and the speed of the second target vehicle is detected by the ultra-wideband communication chip to be greater than a specified speed, and before the YTS system corresponding to the vehicle issues a rear-end collision warning signal, the method further includes: Based on the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the YTS system uses the following formula to determine the minimum threshold of the specified distance and the maximum threshold of the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle: ; ; in, This represents the coefficient of friction between the tires of the first target vehicle and the ground; Indicates the current speed of the first target vehicle; This represents the coefficient of friction between the tires of the second target vehicle and the ground. This indicates the current speed of the second target vehicle; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. Represents gravitational acceleration; This represents the minimum threshold value for the specified distance between the first target vehicle and the second target vehicle. This represents the maximum threshold value for the specified vehicle speed corresponding to the second target vehicle.

[0008] In an optional implementation, before determining, using the YTS system, the minimum threshold of the specified distance and the maximum threshold of the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle according to the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the following method is further included: The friction data between the tires and the ground of the first target vehicle and the current speed of the first target vehicle are obtained by the first ultra-wideband communication chip installed on the first target vehicle. The friction data between the tires and the ground of the second target vehicle and the current speed of the second target vehicle are obtained by the second ultra-wideband communication chip installed on the second target vehicle. By using the ultra-wideband communication method between the target ultra-wideband communication chip installed on the vehicle and the first ultra-wideband communication chip and the second ultra-wideband communication chip, the friction data between the tires of the first target vehicle and the ground, the current speed of the first target vehicle, the friction data between the tires of the second target vehicle and the ground, and the current speed of the second target vehicle are obtained.

[0009] In an optional implementation, the step of analyzing the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the in-vehicle intelligent scene using the YTS system, based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, includes: Based on the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target, the YTS system uses the following formula to analyze the maximum acceleration threshold that the vehicle can accelerate using, based on the real-time image of the in-vehicle intelligent scene: ; ; in, This indicates the real-time relative position and distance of the target; This indicates the vehicle's own speed; This indicates the current speed of the third target vehicle. This represents the coefficient of friction between the vehicle and the ground. This indicates the maximum acceleration threshold at which the vehicle can accelerate. This indicates the minimum safe distance between the third target vehicle and the vehicle itself; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. It represents the acceleration due to gravity.

[0010] In an optional implementation, before analyzing the maximum acceleration threshold for the vehicle to accelerate using the YTS system based on the real-time image of the in-vehicle intelligent scene using the following formula, based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, the method further includes: The current speed of the third target vehicle is obtained by the third ultra-wideband communication chip installed on the third target vehicle; The current speed of the third target vehicle is obtained through ultra-wideband communication between the target ultra-wideband communication chip installed on the vehicle and the third ultra-wideband communication chip.

[0011] Secondly, the present invention provides a vehicle-mounted intelligent scene generation device based on YTS, wherein both the vehicle itself and the target vehicle are equipped with ultra-wideband communication chips; comprising: The acquisition module is used to acquire the real-time relative position distance and real-time relative direction angle between the vehicle itself and the target vehicle through the ultra-wideband communication chip; The generation module is used to generate a real-time image of an in-vehicle intelligent scene containing multiple target vehicles and the vehicle itself, based on multiple real-time relative position distances and multiple real-time relative direction angles between multiple target vehicles and the vehicle itself, and to display the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself. The determination module is used to respond to the following: when the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene is less than a specified distance, and the speed of the second target vehicle is detected by the ultra-wideband communication chip as greater than a specified speed, the module issues a rear-end collision warning signal through the YTS system corresponding to the vehicle, and determines the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle based on the real-time image of the vehicle intelligent scene. The analysis module is used to analyze the maximum acceleration threshold that the vehicle can accelerate to, based on the real-time image of the in-vehicle intelligent scene and the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target vehicle, and to display a prompt message of the maximum acceleration threshold based on the real-time image of the in-vehicle intelligent scene.

[0012] Thirdly, the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the steps of the method described in any of the foregoing embodiments.

[0013] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to perform the method described in any of the foregoing embodiments.

[0014] This application brings the following beneficial effects: This application provides a method, apparatus, and electronic device for generating in-vehicle intelligent scenes based on YTS. Both the vehicle and target vehicles are equipped with ultra-wideband communication chips. The method can obtain the real-time relative position distance and real-time relative direction angle between the vehicle and the target vehicles through the ultra-wideband communication chips. Based on multiple real-time relative position distances and real-time relative direction angles between multiple target vehicles and the vehicle, a real-time image of an in-vehicle intelligent scene is generated through the YTS system, including multiple target vehicles and the vehicle itself. This image is then displayed in the graphical user interface provided by the vehicle. The method responds to a first target vehicle located behind the vehicle in the real-time image of the in-vehicle intelligent scene, and a target vehicle located behind the first target vehicle... If the real-time relative distance between the second target vehicles is less than a specified distance, and the speed of the second target vehicle is detected by the ultra-wideband communication chip to be greater than a specified speed, a rear-end collision warning signal is issued through the YTS system corresponding to the vehicle itself. Based on the real-time image of the vehicle-mounted intelligent scene, the real-time relative distance and relative direction angle between the third target vehicle in front of the vehicle and the vehicle itself are determined. Based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative distance of the target, the maximum acceleration threshold that the vehicle can accelerate can be analyzed by the YTS system based on the real-time image of the vehicle-mounted intelligent scene, and a prompt message of the maximum acceleration threshold is displayed based on the real-time image of the vehicle-mounted intelligent scene.In this solution, by installing ultra-wideband communication chips on both the vehicle and the target vehicle, the system can accurately obtain the real-time relative position distance and real-time relative direction angle between the two vehicles. Based on this real-time data, the YTS system can create a real-time image of the in-vehicle intelligent scene that includes all relevant vehicles. This image not only shows the relative positional relationship between the vehicles but also includes their directional information, allowing the driver to intuitively understand the surrounding traffic conditions. When the system detects that the distance between the first target vehicle and the second target vehicle behind the vehicle is less than a specified safe distance, and the speed of the second target vehicle exceeds a set threshold, the system will automatically issue a rear-end collision warning signal. This mechanism aims to warn the driver in advance of potential dangerous situations. In addition to taking corresponding preventative measures, the system also analyzes the position, direction, and speed relationship between its own vehicle and a third target vehicle (a vehicle in front of it) to calculate the maximum acceleration threshold that the vehicle can safely accelerate to. This aims to help the driver maximize driving efficiency while ensuring safety. Finally, based on the analysis results, the system displays a prompt about the maximum acceleration threshold on the graphical user interface, guiding the driver to make more reasonable driving decisions. Therefore, through precise perception and intelligent analysis of the dynamics of surrounding vehicles, the system significantly improves the driver's ability to identify potential rear-end collision risks and their reaction speed, thereby effectively improving the vehicle's ability to avoid rear-end collisions and solving the technical problem of low effectiveness in avoiding such situations.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating the YTS-based in-vehicle intelligent scene generation method provided in this application embodiment; Figure 2 Another flowchart illustrating the YTS-based in-vehicle intelligent scene generation method provided in this application embodiment; Figure 3 A schematic diagram of the structure of an in-vehicle intelligent scene generation device based on YTS provided in an embodiment of this application; Figure 4A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] The terms "comprising" and "having," and any variations thereof, used in the embodiments of this application, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0020] Currently, vehicles are not very effective at avoiding rear-end collisions. Therefore, this application provides a vehicle-mounted intelligent scene generation method, device, and electronic device based on YTS (Intelligent Vehicle Scene Generation System), which can solve the technical problem of low effectiveness of vehicles in avoiding rear-end collisions.

[0021] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0022] Figure 1 This is a flowchart illustrating a YTS-based in-vehicle intelligent scene generation method provided in an embodiment of this application. Both the vehicle and the target vehicle are equipped with ultra-wideband communication chips. Figure 1 As shown, the method includes: Step S110: Obtain the real-time relative position distance and real-time relative direction angle between the vehicle and the target vehicle through the ultra-wideband communication chip.

[0023] For example, UWB tags and UWB anchors are installed on both the target vehicle and the vehicle itself. Typically, one acts as a transmitter (tag) and the other as a receiver (anchor), but in practice, both will have sending and receiving capabilities to achieve bidirectional communication. First, the UWB module on the vehicle is activated, and necessary initialization settings are performed, including network configuration and frequency selection. An initial calibration process is then conducted to ensure that the UWB devices on both vehicles can accurately identify and locate each other. The UWB devices calculate the distance between the two devices by sending extremely short pulse signals and measuring the time of flight (ToF). Due to the high precision of UWB technology, distance measurement is very accurate. To determine the relative orientation angle, multiple antenna arrays or multiple UWB nodes may be used, calculating the relative orientation using techniques such as the angle of arrival (AoA) or the angle of departure (AoD). The collected distance and orientation angle data are then sent to the onboard computer system. The onboard system filters and smooths this raw data to eliminate noise interference and improve data accuracy. Then, the processed UWB data is fused with data from other sensors (such as GPS and IMU) to provide a more comprehensive and accurate understanding of the relative positions and motion states of vehicles. Based on the fused data, the onboard system can make corresponding driving decisions, such as adjusting speed and changing lanes, to ensure driving safety. Finally, the system feeds back relevant information to the driver, alerting them to changes in the distance and direction of vehicles ahead through displays, audible warnings, etc. This entire process leverages the high-precision positioning advantages of UWB technology, combined with the intelligent algorithms of the onboard system, to achieve a precise understanding of the dynamic relationships between vehicles, contributing to improved road safety and efficiency.

[0024] Step S120: Based on the multiple real-time relative position distances and multiple real-time relative direction angles between multiple target vehicles and the vehicle itself, the YTS system generates a real-time image of the in-vehicle intelligent scene containing multiple target vehicles and the vehicle itself, and displays the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself.

[0025] In practical applications, YTS (Unity TV Service) refers to the Unity visualization rendering service system. Unity is a real-time 3D interactive content creation and operation platform, enabling creators in game development, art, architecture, automotive design, and film to turn their ideas into reality. The platform provides a complete software solution for creating, operating, and monetizing any real-time interactive 2D and 3D content, supporting platforms including mobile phones, tablets, PCs, game consoles, augmented reality, and virtual reality devices. The YTS engine is an intelligent engine system that deeply integrates AI algorithms, physical simulation, and 3D digital rendering technology, specifically designed for next-generation intelligent vehicles. Its core objective is to drive comprehensive upgrades in areas such as autonomous driving, vehicle-road collaboration, and intelligent interaction through high-precision simulation, real-time decision optimization, and cross-domain collaboration capabilities, building an integrated intelligent transportation ecosystem encompassing "people-vehicle-road-cloud."

[0026] For example, the real-time relative position distance and direction angle between the vehicle and each target vehicle are obtained from the UWB communication chip. Simultaneously, data from other sensors (such as GPS, IMU, etc.) can be combined to provide more accurate location information and environmental perception. All collected raw data is filtered and smoothed to reduce noise interference and improve data quality. The pre-processed data is converted into a unified format for easier subsequent processing. Based on the relative position distance and direction angle between all target vehicles and the vehicle, the exact position of each vehicle relative to itself is calculated. Algorithms (such as triangulation or model-based methods) are used to determine the positional relationships between vehicles and update their coordinates in virtual space. The YTS system receives the processed data and begins constructing an intelligent scene encompassing all vehicles. In this process, the YTS system considers factors such as vehicle speed, acceleration, and changes in direction to simulate dynamic changes in the real world. Using 3D modeling technology, the vehicles and their surrounding environment are rendered into easily understandable visual images. The generated real-time images of the in-vehicle intelligent scene are integrated into the vehicle's graphical user interface. The GUI should be designed to be intuitive and easy to understand, enabling the driver to quickly grasp the status of surrounding vehicles and potential risks. By providing interactive features such as zooming and rotating views, the system allows drivers to view the scene from different angles. It continuously receives new position and orientation data and updates the in-vehicle intelligent scene imagery in real time. A sufficiently high image refresh rate is ensured to provide a smooth user experience and reflect the latest traffic conditions. Subsequently, based on real-time image analysis, the system can identify potential safety threats (such as approaching vehicles, obstacles, etc.) and alert the driver to take action through sound, vibration, or visual warnings. This process, through the comprehensive utilization of multiple sensing technologies and advanced algorithms, achieves real-time monitoring and visualization of complex driving environments, thereby enhancing driving safety.

[0027] Step S130: In response to the real-time relative position distance between the first target vehicle behind the vehicle and the second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene being less than a specified distance, and the detection by the ultra-wideband communication chip that the speed of the second target vehicle is greater than a specified speed, a rear-end collision warning signal is issued through the YTS system corresponding to the vehicle, and the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle are determined based on the real-time image of the vehicle intelligent scene.

[0028] In some embodiments, the above-mentioned response to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in a real-time image of an in-vehicle intelligent scene being less than a specified distance, and the detection by the ultra-wideband communication chip that the speed of the second target vehicle is greater than a specified speed, issuing a rear-end collision warning signal through the YTS system corresponding to the vehicle itself, may specifically include the following steps: Based on real-time images of the vehicle's intelligent scene, the system identifies a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle. The AI ​​mapping module of the YTS system analyzes the real-time relative distance between the first and second target vehicles. The system detects the current speed of the second target vehicle using ultra-wideband communication via an ultra-wideband communication chip. In response to a real-time relative distance being less than a specified distance and a current speed exceeding a specified speed, the system issues a rear-end collision warning signal through its own YTS system.

[0029] The vehicle-mounted intelligent scene real-time image recognition system identifies the first and second target vehicles behind the vehicle, and uses the AI ​​mapping module of the YTS system to analyze the real-time relative position and distance between the two vehicles. This real-time monitoring mechanism can accurately and quickly capture the dynamic changes of surrounding vehicles. For the application of ultra-wideband (UWB) communication technology, an UWB communication chip is used to detect the current speed of the second target vehicle. UWB technology, with its high-precision positioning and low-latency characteristics, performs excellently in rapidly transmitting speed information between vehicles, ensuring the timeliness and accuracy of the data.

[0030] Furthermore, when the system detects that the real-time relative distance between the first and second target vehicles is less than a specified safe distance, and the speed of the second target vehicle exceeds a set threshold, a warning signal is automatically triggered. This allows the driver to be warned before a potential hazard occurs, giving them more time to take preventative measures, such as slowing down or changing lanes, thereby avoiding or mitigating possible collision consequences.

[0031] The determination of the specified distance and specified vehicle speed can be achieved in many ways. As an example, before issuing a rear-end collision warning signal through the vehicle's corresponding YTS system, prior to the real-time relative distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in a real-time image of the in-vehicle intelligent scene being less than a specified distance, and before the vehicle speed of the second target vehicle is detected to be greater than a specified speed via an ultra-wideband communication chip, the method may further include the following steps: Based on the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the YTS system uses the following formula to determine the minimum threshold of the specified distance and the maximum threshold of the specified speed when a rear-end collision is imminent between the first and second target vehicles: ; ; in, This represents the coefficient of friction between the tires of the first target vehicle and the ground; Indicates the current speed of the first target vehicle; This represents the coefficient of friction between the tires of the second target vehicle and the ground. Indicates the current speed of the second target vehicle; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. Represents gravitational acceleration; This represents the minimum threshold value for the specified distance between the first target vehicle and the second target vehicle. This represents the maximum threshold for the specified vehicle speed corresponding to the second target vehicle.

[0032] In this embodiment of the application, the minimum threshold of the specified distance and the maximum threshold of the specified speed when a rear-end collision is about to occur between the first target vehicle and the second target vehicle are determined by the calculation method of the above calculation formula, so that the data of the minimum threshold of the specified distance and the maximum threshold of the specified speed are more accurate.

[0033] In some embodiments, before determining, using the YTS system, the minimum threshold for the specified distance and the maximum threshold for the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle according to the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the minimum threshold for the specified distance and the maximum threshold for the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle using the following formula, the method may further include the following steps: The friction data between the tires and the ground of the first target vehicle and the current speed of the first target vehicle are obtained through the first ultra-wideband communication chip installed on the first target vehicle; the friction data between the tires and the ground of the second target vehicle and the current speed of the second target vehicle are obtained through the second ultra-wideband communication chip installed on the second target vehicle. By using the ultra-wideband communication method between the target ultra-wideband communication chip installed on its own vehicle and the first ultra-wideband communication chip and the second ultra-wideband communication chip, the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle are obtained.

[0034] In this embodiment, by utilizing ultra-wideband communication chips installed on the first and second target vehicles, it is possible to obtain the coefficient of friction between the tires and the ground, as well as the current vehicle speed, in real time and accurately. The coefficient of friction is an important indicator for evaluating vehicle grip and is crucial for determining whether a vehicle may slip or lose control.

[0035] Moreover, based on this high-precision dynamic data, especially when combined with friction data and vehicle speed information, the system can more accurately assess the driving stability of each vehicle and its potential risks. For example, under slippery road conditions, a decrease in the coefficient of friction may lead to an increase in braking distance, and this information is particularly important for predicting the risk of rear-end collisions.

[0036] By using its own ultra-wideband communication chip to communicate with vehicles in front and behind, the vehicle enables rapid exchange of key driving parameters. This not only helps the driver understand the status of surrounding vehicles, but can also be used as part of an advanced driver assistance system (ADAS) to automatically adjust following distance or alert the driver to potential hazards, further enhancing road safety.

[0037] Step S140: Based on the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target, the maximum acceleration threshold that the vehicle can accelerate can be analyzed through the YTS system based on the real-time image of the vehicle intelligent scene, and the prompt information of the maximum acceleration threshold is displayed based on the real-time image of the vehicle intelligent scene.

[0038] In some embodiments, the above-mentioned analysis of the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the in-vehicle intelligent scene using the YTS system, based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, may specifically include the following steps: Based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position and distance of the target, the YTS system, using the real-time image of the in-vehicle intelligent scene, analyzes the maximum acceleration threshold that the vehicle can accelerate using the following formula: ; ; in, Indicates the real-time relative position and distance of the target; Indicates the vehicle's own speed; Indicates the current speed of the third vehicle, the third target vehicle; This indicates the coefficient of friction between the vehicle and the ground. This indicates the maximum acceleration threshold that the vehicle can accelerate to. This indicates the minimum safe distance between the third target vehicle and the vehicle itself. This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. It represents the acceleration due to gravity.

[0039] In this embodiment of the application, the maximum acceleration threshold that the vehicle can accelerate is determined by the calculation method of the above calculation formula, so that the data of the maximum acceleration threshold that the vehicle can accelerate is more accurate.

[0040] In some embodiments, before the above-described method analyzes the maximum acceleration threshold for the vehicle to accelerate using the YTS system based on the real-time image of the in-vehicle intelligent scene and the following formula, according to the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, the method may further include the following steps: The current speed of the third target vehicle is obtained by using the third ultra-wideband communication chip installed on the third target vehicle; the current speed of the third target vehicle is also obtained by using the ultra-wideband communication method between the target ultra-wideband communication chip installed on the vehicle and the third ultra-wideband communication chip.

[0041] In this embodiment of the application, by using an ultra-wideband communication chip installed on the third target vehicle, it is possible to obtain the friction coefficient between the tires and the ground of both vehicles and the current vehicle speed information in real time and accurately.

[0042] By installing ultra-wideband communication chips on both the vehicle and the target vehicle, the system can accurately obtain the real-time relative position distance and real-time relative direction angle between the two vehicles. Based on this real-time data, the YTS system can create a real-time image of the in-vehicle intelligent scene that includes all relevant vehicles. This image not only shows the relative positional relationship between the vehicles but also includes their directional information, allowing the driver to intuitively understand the surrounding traffic conditions. When the system detects that the distance between the first target vehicle and the second target vehicle behind the vehicle is less than a specified safe distance, and the speed of the second target vehicle exceeds a set threshold, the system will automatically issue a rear-end collision warning signal. This mechanism aims to warn the driver in advance of potential dangers so that appropriate preventive measures can be taken. At the same time, the system will also analyze the surrounding traffic conditions. By analyzing the position, direction, and speed relationship between the vehicle and a third target vehicle in front of it, the system calculates the maximum acceleration threshold at which the vehicle can safely accelerate. This aims to help the driver maximize driving efficiency while ensuring safety. Finally, based on the analysis results, the system displays a prompt about the maximum acceleration threshold on the graphical user interface, guiding the driver to make more reasonable driving decisions. Therefore, through precise perception and intelligent analysis of the dynamics of surrounding vehicles, the system significantly improves the driver's ability to identify and react to potential rear-end collision risks, thereby effectively enhancing the vehicle's ability to avoid rear-end collisions. This comprehensive solution, encompassing hardware (UWB communication chip), software (YTS system), and human-machine interaction (graphical user interface), is key to improving traffic safety.

[0043] In some embodiments, such as Figure 2 As shown, after analyzing the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the vehicle scene using the YTS system, according to the current speed of the third target vehicle, the vehicle's own speed, the real-time relative position distance to the target, and the real-time relative direction angle of the target, the method may further include the following steps: In step S150, in response to the ultra-wideband communication chips corresponding to the first target vehicle and the second target vehicle both detecting that the vehicle vibration level is greater than the specified vibration level, the YTS system corresponding to its own vehicle issues an alarm signal that a rear-end collision has occurred, and controls its own vehicle to accelerate in advance within the maximum acceleration threshold range.

[0044] In this embodiment, the ultra-wideband (UWB) communication chip detects that the vibration levels of the first and second target vehicles exceed a specified vibration level. This step is achieved based on the high-precision positioning and sensing capabilities provided by UWB technology, which can accurately capture changes in the state of surrounding vehicles. When such abnormal vibration is detected, assuming it is caused by a rear-end collision, the YTS system will immediately issue a "rear-end collision has occurred" warning signal. This warning is not only a reminder to the driver but also a prerequisite for triggering subsequent automatic response measures. Moreover, after receiving the aforementioned warning signal, the YTS system controls its own vehicle to accelerate in advance within the maximum acceleration threshold range. The key here is "in advance" and "within the maximum acceleration threshold range," as these two factors work together to reduce or avoid being involved in a potential chain-reaction rear-end collision.

[0045] By taking the above steps, especially by accelerating in advance, you can effectively increase the distance from the vehicles behind you, thereby reducing the risk of a rear-end collision caused by the loss of control of the vehicles behind you or other reasons, and avoiding your own vehicle speed from being involved in a chain-reaction rear-end collision due to the rear-end collision of the vehicles behind you.

[0046] Figure 3 A schematic diagram of an in-vehicle intelligent scene generation device based on YTS is provided. Both the vehicle itself and the target vehicle are equipped with ultra-wideband communication chips. Figure 3 As shown, the YTS-based in-vehicle intelligent scene generation device 300 includes: The acquisition module 301 is used to acquire the real-time relative position distance and real-time relative direction angle between the vehicle itself and the target vehicle through the ultra-wideband communication chip. The generation module 302 is used to generate a real-time image of an in-vehicle intelligent scene containing multiple target vehicles and the vehicle itself, based on multiple real-time relative position distances and multiple real-time relative direction angles between multiple target vehicles and the vehicle itself, and to display the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself. The determination module 303 is used to respond to the following: when the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene is less than a specified distance, and the speed of the second target vehicle is detected by the ultra-wideband communication chip to be greater than a specified speed, the module issues a warning signal of impending rear-end collision through the YTS system corresponding to the vehicle, and determines the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle based on the real-time image of the vehicle intelligent scene. The analysis module 304 is used to analyze the maximum acceleration threshold that the vehicle can accelerate through the YTS system based on the real-time image of the vehicle intelligent scene, according to the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target vehicle, and to display the prompt information of the maximum acceleration threshold based on the real-time image of the vehicle intelligent scene.

[0047] The vehicle intelligent scene generation device based on YTS provided in this application embodiment has the same technical features as the vehicle intelligent scene generation method based on YTS provided in the above embodiment, so it can also solve the same technical problems and achieve the same technical effects.

[0048] An electronic device provided in this application embodiment, such as Figure 4 As shown, the electronic device 400 includes a processor 402 and a memory 401. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps of the method provided in the above embodiments.

[0049] See Figure 4 The electronic device also includes a bus 403 and a communication interface 404. The processor 402, the communication interface 404 and the memory 401 are connected through the bus 403. The processor 402 is used to execute executable modules, such as computer programs, stored in the memory 401.

[0050] The memory 401 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 404 (which can be wired or wireless), such as the Internet, wide area network, local area network, or metropolitan area network.

[0051] Bus 403 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0052] The memory 401 is used to store programs. After receiving an execution instruction, the processor 402 executes the program. The method executed by the apparatus defined by the process disclosed in any of the preceding embodiments of this application can be applied to the processor 402 or implemented by the processor 402.

[0053] Processor 402 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 402 or by instructions in software form. The processor 402 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 401, and processor 402 reads the information from memory 401 and, in conjunction with its hardware, completes the steps of the above method.

[0054] Corresponding to the above-described YTS-based in-vehicle intelligent scene generation method, this application embodiment also provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are invoked and executed by a processor, the computer-executable instructions cause the processor to perform the steps of the above-described YTS-based in-vehicle intelligent scene generation method.

[0055] The vehicle-mounted intelligent scene generation device based on YTS provided in this application embodiment can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in this application embodiment are the same as those in the foregoing method embodiments. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the foregoing method embodiments. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can all be referred to the corresponding processes in the above method embodiments, and will not be repeated here.

[0056] 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.

[0057] For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0058] 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.

[0059] In addition, the functional units in the embodiments provided in this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0060] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they 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 a portion 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 YTS-based vehicle intelligent scene generation method 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.

[0061] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, if an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0062] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for generating in-vehicle intelligent scenes based on YTS, characterized in that, Both the vehicle itself and the target vehicle are equipped with ultra-wideband communication chips; the method includes: The real-time relative position distance and real-time relative direction angle between the vehicle and the target vehicle are obtained through the ultra-wideband communication chip. Based on the multiple real-time relative position distances and multiple real-time relative direction angles between the multiple target vehicles and the vehicle itself, the YTS system generates a real-time image of the in-vehicle intelligent scene containing the multiple target vehicles and the vehicle itself, and displays the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself. In response to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene being less than a specified distance, and the speed of the second target vehicle being detected by the ultra-wideband communication chip being greater than a specified speed, a rear-end collision warning signal is issued through the YTS system corresponding to the vehicle, and the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle are determined based on the real-time image of the vehicle intelligent scene. Based on the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target, the YTS system analyzes the maximum acceleration threshold that the vehicle can accelerate through based on the real-time image of the vehicle intelligent scene, and displays the prompt information of the maximum acceleration threshold based on the real-time image of the vehicle intelligent scene. After analyzing the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the vehicle intelligent scene through the YTS system according to the current speed of the third target vehicle, the speed of the vehicle itself, the real-time relative position distance of the target, and the real-time relative direction angle of the target, the method further includes: in response to the ultra-wideband communication chips corresponding to the first target vehicle and the second target vehicle both detecting that the vehicle vibration level is greater than a specified vibration level, the YTS system corresponding to the vehicle itself issues a rear-end collision warning signal and controls the vehicle itself to accelerate in advance within the range of the maximum acceleration threshold; Before issuing a rear-end collision warning signal through the YTS system corresponding to the vehicle itself, in response to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the in-vehicle intelligent scene being less than a specified distance, and the speed of the second target vehicle being detected by the ultra-wideband communication chip as greater than a specified speed, the method further includes: based on the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, using the YTS system, determining the minimum threshold of the specified distance and the maximum threshold of the specified speed corresponding to the impending rear-end collision between the first target vehicle and the second target vehicle using the following formula: ； ； in, This represents the coefficient of friction between the tires of the first target vehicle and the ground; Indicates the current speed of the first target vehicle; This represents the coefficient of friction between the tires of the second target vehicle and the ground. This indicates the current speed of the second target vehicle; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. Represents gravitational acceleration; This represents the minimum threshold value for the specified distance between the first target vehicle and the second target vehicle. This represents the maximum threshold value for the specified vehicle speed corresponding to the second target vehicle; The step of analyzing the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the in-vehicle intelligent scene using the YTS system, based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, includes: using the YTS system to analyze the maximum acceleration threshold for the vehicle to accelerate based on the real-time image of the in-vehicle intelligent scene using the following formula: ； ； in, This indicates the real-time relative position and distance of the target; This indicates the vehicle's own speed; This indicates the current speed of the third target vehicle; This represents the coefficient of friction between the vehicle and the ground. This indicates the maximum acceleration threshold at which the vehicle can accelerate. This indicates the minimum safe distance between the third target vehicle and the vehicle itself; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. It represents the acceleration due to gravity.

2. The method according to claim 1, characterized in that, The response to the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the in-vehicle intelligent scene being less than a specified distance, and the detection by the ultra-wideband communication chip that the speed of the second target vehicle is greater than a specified speed, and the issuance of a rear-end collision warning signal through the YTS system corresponding to the vehicle, including: Based on the real-time image of the in-vehicle intelligent scene, a first target vehicle located behind the vehicle itself and a second target vehicle located behind the first target vehicle are determined. The real-time relative position and distance between the first target vehicle and the second target vehicle are analyzed using the AI ​​mapping module of the YTS system. The current speed of the second target vehicle is detected by the ultra-wideband communication method of the ultra-wideband communication chip. In response to the real-time relative position distance being less than a specified distance and the current vehicle speed being greater than a specified speed, a warning signal of impending rear-end collision is issued through the YTS system corresponding to the vehicle.

3. The method according to claim 1, characterized in that, Before determining, using the YTS system to determine the minimum threshold of the specified distance and the maximum threshold of the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle through the following formula based on the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the method further includes: The friction data between the tires and the ground of the first target vehicle and the current speed of the first target vehicle are obtained by the first ultra-wideband communication chip installed on the first target vehicle. The friction data between the tires and the ground of the second target vehicle and the current speed of the second target vehicle are obtained by the second ultra-wideband communication chip installed on the second target vehicle. By using the ultra-wideband communication method between the target ultra-wideband communication chip installed on the vehicle and the first ultra-wideband communication chip and the second ultra-wideband communication chip, the friction data between the tires of the first target vehicle and the ground, the current speed of the first target vehicle, the friction data between the tires of the second target vehicle and the ground, and the current speed of the second target vehicle are obtained.

4. The method according to claim 1, characterized in that, Before the step of analyzing the maximum acceleration threshold for the vehicle to accelerate using the YTS system based on the real-time image of the in-vehicle intelligent scene using the following formula, based on the current speed of the third target vehicle, the vehicle's own speed, and the real-time relative position distance of the target, the method further includes: The current speed of the third target vehicle is obtained by the third ultra-wideband communication chip installed on the third target vehicle; The current speed of the third target vehicle is obtained through ultra-wideband communication between the target ultra-wideband communication chip installed on the vehicle and the third ultra-wideband communication chip.

5. A vehicle-mounted intelligent scene generation device based on YTS, characterized in that, Both the vehicle itself and the target vehicle are equipped with ultra-wideband communication chips; including: The acquisition module is used to acquire the real-time relative position distance and real-time relative direction angle between the vehicle itself and the target vehicle through the ultra-wideband communication chip; The generation module is used to generate a real-time image of an in-vehicle intelligent scene containing multiple target vehicles and the vehicle itself, based on multiple real-time relative position distances and multiple real-time relative direction angles between multiple target vehicles and the vehicle itself, and to display the real-time image of the in-vehicle intelligent scene in the graphical user interface provided by the vehicle itself. The determination module is used to respond to the following situation: when the real-time relative position distance between a first target vehicle behind the vehicle and a second target vehicle behind the first target vehicle in the real-time image of the vehicle intelligent scene is less than a specified distance, and the speed of the second target vehicle is detected by the ultra-wideband communication chip to be greater than a specified speed, the module issues a rear-end collision warning signal through the YTS system corresponding to the vehicle, and determines the real-time relative position distance and real-time relative direction angle between the third target vehicle in front of the vehicle and the vehicle based on the real-time image of the vehicle intelligent scene. The analysis module is used to analyze the maximum acceleration threshold that the vehicle can accelerate based on the real-time image of the in-vehicle intelligent scene through the YTS system, according to the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target. The module also displays a prompt message about the maximum acceleration threshold based on the real-time image of the in-vehicle intelligent scene. It also includes a control module, used to: in response to the ultra-wideband communication chips corresponding to the first target vehicle and the second target vehicle both detecting that the vehicle vibration level is greater than a specified vibration level, the YTS system corresponding to its own vehicle issues an alarm signal that a rear-end collision has occurred, and controls its own vehicle to accelerate in advance within the range of the maximum acceleration threshold. It also includes a threshold determination module, used for: Based on the friction data between the tires and the ground of the first target vehicle, the current speed of the first target vehicle, the friction data between the tires and the ground of the second target vehicle, and the current speed of the second target vehicle, the YTS system uses the following formula to determine the minimum threshold of the specified distance and the maximum threshold of the specified speed corresponding to the imminent rear-end collision between the first target vehicle and the second target vehicle: ； ； in, This represents the coefficient of friction between the tires of the first target vehicle and the ground; Indicates the current speed of the first target vehicle; This represents the coefficient of friction between the tires of the second target vehicle and the ground. This indicates the current speed of the second target vehicle; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. Represents gravitational acceleration; This represents the minimum threshold value for the specified distance between the first target vehicle and the second target vehicle. This represents the maximum threshold value for the specified vehicle speed corresponding to the second target vehicle; The analysis module is specifically used for: Based on the current speed of the third target vehicle, the speed of the vehicle itself, and the real-time relative position distance of the target, the YTS system uses the following formula to analyze the maximum acceleration threshold that the vehicle can accelerate using, based on the real-time image of the in-vehicle intelligent scene: ； ； in, This indicates the real-time relative position and distance of the target; This indicates the vehicle's own speed; This indicates the current speed of the third target vehicle; This represents the coefficient of friction between the vehicle and the ground. This indicates the maximum acceleration threshold at which the vehicle can accelerate. This indicates the minimum safe distance between the third target vehicle and the vehicle itself; This indicates the time interval between the driver's reaction to the moment they realize a rear-end collision is imminent and the moment they begin to apply the brakes. It represents the acceleration due to gravity.

6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that, when invoked and executed by a processor, cause the processor to perform the method according to any one of claims 1 to 4.

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