Vision Based Obstacle Recognition Approach of A Power Line Inspection Robot

被引：2
|
作者：
Zuo, Qi [1 ]
Xie, Zhi [1 ]
Guo, Zijian [2 ]
机构：
[1] Northeastern Univ, Informat Sci & Engn Coll, Shenyang 110004, Peoples R China
[2] North China Univ Technol, Beijing 100041, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL II | 2009年
关键词：
inspection robot; video images; recognition; DOF; obstacles;
D O I：
10.1109/CINC.2009.251
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：459 / +
页数：2
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