Calibration-free Visual Navigation of Robot in a Maze
In this article we present a novel navigation approach for an autonomous robot in an unknown maze based on calibration-free visual information. On one hand, we segment images to obtain the approximate traversable region and on the other hand the lines and corners in images are also extracted to help a robot understanding the topological structure. In the experiment, our navigation approach running on a pioneer 3-DX robot is proved to be effective.
autonomous robot robot vision navigation dead and living corner maze
Chen Jiaqian He Yan Jiang Jingping
College of Electrical Engineering Zhejiang University Hangzhou, Zhejiang Province, China
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
65-69
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）