Size calculation methods for remote obstacles based on line structured light sensor

Haiyan Shao, Kejie Li, Zhenhai Zhang, Shanping Qiao, Yu'E Yang, Jinkai Zhang

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

1 Citation (Scopus)

Abstract

UGVs are required to have the functions of environmental awareness, recognition and self-avoidance obstacles. Recognition is one important part. In this paper, size calculation methods for obstacles based on a new line structured light sensor are proposed. The detecting distance of this sensor for concave and convex obstacles and water hazards is about 100 meters. Recognition principles of obstacles are analyzed, and calculation equations for different types of obstacles are proposed. Finally, the feasibility of obtaining the obstacle feature information is verified by experiments. And the calculation methods have the advantages of strong recognition, more targeted and fast.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202-207
Number of pages6
ISBN (Electronic)9781509043644
DOIs
Publication statusPublished - 2016
Event2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016 - Qingdao, China
Duration: 3 Dec 20167 Dec 2016

Publication series

Name2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016

Conference

Conference2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
Country/TerritoryChina
CityQingdao
Period3/12/167/12/16

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