Evaluation on Intelligent Driving Behaviors of U-Turn and Overtaking in Future Challenge
Research on intelligent vehicles has been developed by more and more organizations, so the evaluation methods of intelligent driving abilities are of great importance. In this paper we first analyzed information processing of intelligent vehicles and established pattern recognition model of intelligent driving behavior based on prototype matching: second, we briefly introduced the basic theory and methods of fuzzy synthetic evaluation; finally, according to the competition Future Challenge, we focused on overtaking behavior and UTurn behavior, which were also considered as the first level factors of the evaluation model, and structured the fuzzy synthetic evaluation model of intelligent driving behaviors. It can be used to assess the intelligent driving behaviors for unmanned ground vehicles for the next Future Challenge competitions, and also provide a strong basis for research on intelligent vehicle control in the future.
intelligent driving behavior information processing fuzzy synthetic evaluation pattern recognition unmanned ground vehicles
Xin Gao Gang Dong Li Gao
School of Mechanical and Vehicular Engineering Beijing Institute of Technology, BIT Beijing, China Traffic Bureau in Xiangfang District Traffic Bureau in Xiangfang District of Harbin Harbin, China
国际会议
海口
英文
120-125
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）