Obstacle Recognition and Localization Based on the Monocular Vision for Double Split Transmission Lines Inspection Robot

• Published in: 2009 2nd International Congress on Image and Signal Processing pp. 1 - 5
• Main Authors: Caishi Hu, Gongping Wu, Heng Cao, Xiaohui Xiao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2009
• Subjects: Calibration; Cameras; Image recognition; Inspection; Orbital robotics; Performance evaluation; Robot vision systems; Solid modeling; Testing; Transmission lines
• ISBN: 1424441293; 9781424441297
• DOI: 10.1109/CISP.2009.5303695

Obstacle recognition and location is one of the key techniques for the autonomous transmission line inspection robot. Considering the structure of 220kV double split transmission line, a method of obstacle recognition and location based on the monocular vision is proposed. First of all, capture the image located ahead of the inspection robot with camera, and recognize such obstacles as spacer, counterweight, etc in the image. Then build the geometric model of ranging using the position relation of obstacle's location center and camera, and calibrate the camera's intrinsic parameters. At last, put the parameters obtained by calibration into ranging formula to perform the ranging tests. The tests indicate that the method can recognize and locate the obstacles effectively.