A Study of Intelligent Vehicle Motion Control System Based on Multi-sensor Information Fusion
Aiming at the randomness of intelligent vehicle data collection and the huge difference between the data collected which may easily result in information conflict,missing of effective data and large decreasing of effective data,method of distribution chart is used to eliminate negligent errors on the basis of multi-sensor data collecting and data is processed by adaptive weighted information fusion algorithm in the mean time to obtain more reliable distance information.Experiment shows this method improves the accuracy of the distance measuring system and eliminates effectively errors caused by sensor failure.
Intelligent vehicle Multi-sensor Information fusion Adaptive weighted algorithm
LAN Yanting HUANG Jinying
North University of China,Shool of Computer and Control Engineering,Taiyuan,030051 North University of China,School of Mechanical and Power Engineering,Taiyuan,030051
国际会议
长沙
英文
2109-2112
2014-05-31(万方平台首次上网日期,不代表论文的发表时间)