Design And System Development Of Blind Spot Warning Algorithm Based On V2V And Research On Virtual And Real Vehicle Testing Techniques

The traditional blind spot warning method mainly uses equipment such as radar and cameras to detect vehicles in blind spots,but due to the limitations of the detection range,the warning often cannot achieve the desired effect.In this article,a blind spot warning algorithm is designed for the blind spot problem of vehicles based on V2 V communication.The algorithm fully considers basic information such as the vehicle’s speed,acceleration,and heading angle,and combines human reaction time to dynamically calculate the triggering distance of the blind spot warning based on parameters such as warning time,speed difference between the host vehicle and the distant vehicle,and acceleration difference.Different calculation methods are used for the host vehicle and distant vehicle in straight or curved roads to ensure the accurate calculation of the distance between the host vehicle and the distant vehicle on different roads,and to determine the positions of the host and distant vehicles accurately and in real-time.Through real-time information exchange on the vehicle-mounted terminal,when the distant vehicle is in the host vehicle’s blind spot or about to enter it,the blind spot warning algorithm can accurately remind the host driver,ensuring that the driver has sufficient time to react and improving driving safety and comfort.The hardware for the development of the warning system adopts the on-board terminal equipment of Datang Gao Hong Company,and the software is generally divided into five layers: the adaptation layer,network layer,message layer,application layer,and hardware-independent layer.The system can communicate with other terminal devices through Datang Gao Hong OBU,send message frames of the host vehicle,receive and parse message frames sent by other vehicle-mounted terminals or road test equipment,provide information for vehicle warning,and transmit warning information to the display terminal.At the same time,the warning system can exclude situations that do not trigger warnings based on the vehicle’s location information,reducing the amount of data analysis required by the system.After implementing judgment for blind spot warnings,the application layer of the warning system can also add other application warning algorithms,making the warning system suitable for multi-functional scenarios.The vehicle dynamics simulation platform,Pano Sim,provides the function of testing blind spot warning algorithms.Based on the Pano Sim simulation software,blind spot warning scenarios are constructed,including straight and curved road scenes.The driving situations of the host vehicle and the distant vehicle are simulated in different road scenes,and the blind spot warning algorithm is tested in multiple test scenarios.Based on the results of the simulation experiment,compared with fixed warning distance and fixed warning time,the blind spot warning algorithm can dynamically calculate the triggering distance of the blind spot warning and provide more accurate assistance to the driver.In real vehicle testing,the driving state of the real scenario was simulated,and the effectiveness of the blind spot warning algorithm was further tested under the condition of non-uniform vehicle speed,and the communication ability of the warning system was tested.The results of the real vehicle test show that the comprehensive accuracy of the blind spot warning algorithm is 96.67%,which proves the feasibility of the blind spot warning algorithm,and the warning system can ensure communication between vehicles.