Elbow Detection in Pipes for Autonomous Navigation of Inspection Robots

被引:23
|
作者
Brown, Liam [1 ]
Carrasco, Joaquin [1 ]
Watson, Simon [1 ]
Lennox, Barry [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Pipe inspection; Autonomous navigation; Sensing; Feeler sensor; Decommissioning; PIPELINE GEOMETRY; MONOCULAR CAMERA; RECOGNITION;
D O I
10.1007/s10846-018-0904-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nuclear decommissioning is a global challenge with high costs associated with it due to the hazardous environments created by radioactive materials. Most nuclear decommissioning sites contain significant amounts of pipework, the majority of which is uncharacterised with regards radioactive contamination. If there is any uncertainty as to the contamination status of a pipe, it must be treated as contaminated waste, which can lead to very high disposal costs. To overcome this challenge, an in-pipe autonomous robot for characterisation is being developed. One of the most significant mechatronic challenges with the development of such a robot is the detection of elbows in the unknown pipe networks to allow the robotic system to autonomously navigate around them. This paper presents a novel method of predicting the direction and radius of the corner using whisker-like sensors. Experiments have shown that the proposed system has a mean error of 4.69 degrees in the direction estimation.
引用
收藏
页码:527 / 541
页数:15
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