中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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  • 2008 [1]
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Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文  OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform  visual guidance intelligent vehicle JLUIV-5  is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system  and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model  and two-degree steering dynamic model of vehicle  the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results  carry out in Jilin University Nanling Campus and Culture Center of Jilin Province  show that the image identify algorithms  and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain  it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.