Estimation of Vehicle Turning Radius Based on Federal Kalman Filter

摘要：

This paper presents a new method for identifying turning radius using a Federal Kalman Filter and a vehicle dynamic model. A dynamic model, which includes vehicle radius, is first introduced. The Federal Kalman Filter is then implemented using the measurements of GPS and INS sensors. From the Federal Kalman Filter, the vehicle turning radius can be precisely estimated. Experimental results verify that the estimation scheme is giving appropriate estimates of the vehicle turning radius.

关键词： turning radius estimation Federal Kalman Filter

作者: Xianbin Wang Shuming Shi

作者单位: Traffic College North East Forestry University Harbin, China Traffic College Jilin University Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1394-1397

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）