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Landmark detection methods for in-pipe robot traveling in urban gas pipelines

Published online by Cambridge University Press:  09 July 2014

Dong-Hyuk Lee ,
Hyungpil Moon  and
Hyouk Ryeol Choi
Dong-Hyuk Lee
Affiliation:
School of Mechanical Engineering, Sungkyunkwan University, Suwon 440-746, South Korea
Hyungpil Moon
Affiliation:
School of Mechanical Engineering, Sungkyunkwan University, Suwon 440-746, South Korea
Hyouk Ryeol Choi*
Affiliation:
School of Mechanical Engineering, Sungkyunkwan University, Suwon 440-746, South Korea
*
*Corresponding author. E-mail: hrchoi@me.skku.ac.kr
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Summary

Elbows and branches in pipelines produce unique image patterns, which can be used as landmarks for autonomous navigation inside the pipelines. This paper presents two landmark detection methods, known as shadow-based method and laser projection method. The first method uses the landmark's unique patterns of shadow produced by the robot's illuminator. The other method exploits special line features generated by its own line-laser beam projector. The basic algorithms for extracting the landmarks are given and special sensor mechanisms are addressed respectively. Finally, the detection performances of each method are validated in various pipeline conditions by using an in-pipe robot, called MRINSPECT-V.

Keywords

In-pipe robotLandmarkPipe inspection
Type
Articles
Information
Robotica , Volume 34 , Issue 3 , March 2016 , pp. 601 - 618
Copyright
Copyright © Cambridge University Press 2014 

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