The Vehicle Collision Warning Method Based on the Information Fusion of GPS/INS and DSRC

2018 5th International Conference on Advanced Composite Materials and Manufacturing Engineering

Wang, Gang^1 ; Chong, Peter Han Joo^2 ; Seet, Boon-Chong^2 ; Zhang, Kesong^1

School of Automotive Engineering, Shandong Jiao Tong University, Jinan

250032, China^1

Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland

1010, New Zealand^2

关键词: Adaptive kalman filter;    Information exchanges;    Intelligent transport systems;    Probability of collisions;    Simulation verification;    Vehicle collision avoidance systems;    Vehicle trajectories;    Wireless communication technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/394/3/032110/pdf
DOI  :  10.1088/1757-899X/394/3/032110

来源: IOP

【 摘 要 】

The traditional vehicle collision avoidance systems are based on vehicle sensors. With the development of intelligent transport systems, wireless communication technologies have been widely used in the vehicle. A loose coupling mode under is proposed as vehicle collision warning strategy. The information exchange between vehicles could be available by dedicated short range communication. The adaptive Kalman filter can predict the vehicle trajectory and analyze the probability of collision. The simulation verification was carried out by the MATLAB/Simulink platform. Results show that the feasibility and validity of the algorithm are verified.