哈尔滨工业大学学报（英文版）2003，Vol.10Issue(2)：145-150,6.
Dead-reckoning/vision integrated navigation for mobile robot
Dead-reckoning/vision integrated navigation for mobile robot
孙德波1
作者信息
- 1. Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150001 ,China
- 折叠
摘要
Abstract
A dead reckoning system and a vision navigation system are proposed for use in a new integrated sys-tem for robot navigation. Since the dead reckoning system uses a recurrence algorithm to determine the position,the position will be divergent in two horizontal directions with time increasing. In order to overcome this defect,a vision navigation system is used to periodically correct the dead reckoning system, and a kalman filter is usedto estimate the errors of navigation and the unknown biases of sensors, and precise position and heading estima-tions are obtained by updating navigation errors and sensors' biases. It is concluded from the simulation resultsthat all the navigation parameters can be obtained through kalman filtering, and the integrated navigation systemproposed for robot navigation can be used in an actual robot working in a laboratory. The measurement noise a-nalysis shows that with the distance between beacon and robot increasing, the measurement noise will increase,and in order to achieve a proper estimation accuracy, the distance should not be too great.关键词
robot navigation/vision navigation/Kalman filterKey words
robot navigation/vision navigation/Kalman filter分类
航空航天引用本文复制引用
孙德波..Dead-reckoning/vision integrated navigation for mobile robot[J].哈尔滨工业大学学报（英文版）,2003,10(2):145-150,6.
