Study on Real Time Road Identification Based on Fuzzy Classifier

摘要：

A new method on Road Identification derives from wheel vibration, which is excited by road surface roughness. Using Wavelet and FFT of Matlab analysed the wheel vibration, got frequency spectrum characteristic; then a Fuzzy Classifier was upbuilded by the acquired frequency spectrum characteristic. Road identification was accordinged to the euclidean closeness degree. In the experiments on blacktop and mattess, the road Identification accuracy reached 95％. The road identification based on the Fuzzy Classifier is excellent.

作者: LU Jun-Hui WU Shi-Jing CAI Li-Min

作者单位: College of Power and Mechanical Engineering, Wuhan University, Wuhan, 430072, China;Physics & Inform College of Power and Mechanical Engineering, Wuhan University, Wuhan, 430072, China Physics & Information Engineering Institute, Jianghan University, 430056, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）