Study on long-distance obstacle perception of the line structured light sensor

Haiyan Shao, Kejie Li, Zhenhai Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

The detection method of line structured light is applied to perceive obstacles of Unmanned Ground Vehicle (UGV) in this paper. A novel line structured light sensor is proposed for remote obstacle perception. The mathematical model of the line structured light sensor is established to measure obstacles. The formula for calculating the relationship among laser power, environmental factors and detection distance is derived. The method of three-dimensional coordinate of space point in the camera coordinate system is presented. The obstacle recognition principles based on structured lights strip are summarized. An effective method is proposed for line structured light image. Through a lot of experiments, the line structured light sensor proposed in this paper can detect ground obstacles in a hundred meters with the high speed and accuracy.

源语言英语
主期刊名2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
出版商Institute of Electrical and Electronics Engineers Inc.
357-362
页数6
ISBN(电子版)9781467396745
DOI
出版状态已出版 - 2015
活动IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, 中国
期限: 6 12月 20159 12月 2015

出版系列

姓名2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

会议

会议IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
国家/地区中国
Zhuhai
时期6/12/159/12/15

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