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

Haiyan Shao, Kejie Li, Zhenhai Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages357-362
Number of pages6
ISBN (Electronic)9781467396745
DOIs
Publication statusPublished - 2015
EventIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China
Duration: 6 Dec 20159 Dec 2015

Publication series

Name2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015

Conference

ConferenceIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Country/TerritoryChina
CityZhuhai
Period6/12/159/12/15

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