Title :
Vision Based Obstacle Recognition Approach of a Power Line Inspection Robot
Author :
Zuo, Qi ; Xie, Zhi ; Guo, Zijian
Author_Institution :
Inf. Sci. & Eng. Coll., Northeastern Univ., Shenyang, China
Abstract :
This paper introduces the research and application situations of the power transmission line inspection robot. It describes the architecture of two-arm rotary mechanism robot and the configuration of control system. The emphasis of this paper is placed on the algorithm of object recognition for those structure-restrained obstacles such as suspending clamps, counterweights, insulators and so on. The experiments of laboratory tests and field applications show that the proposed image recognition approach can achieve accurate results with less memory and computation cost.
Keywords :
collision avoidance; image recognition; industrial robots; inspection; manipulators; mobile robots; object recognition; power transmission lines; robot vision; control system configuration; image recognition; object recognition; power transmission line inspection robot; structure-restrained obstacle; two-arm rotary mechanism robot; vision based obstacle recognition; Clamps; Control systems; Image recognition; Inspection; Insulation; Laboratories; Object recognition; Power transmission lines; Robot vision systems; Testing; DOF; inspection robot; obstacles; recognition; video images;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.251