Title :
Obstacle Recognition and Localization Based on the Monocular Vision for Double Split Transmission Lines Inspection Robot
Author :
Hu, Caishi ; Wu, Gongping ; Cao, Heng ; Xiao, Xiaohui
Author_Institution :
Coll. of Power & Mech. Eng., Wuhan Univ., Wuhan, China
Abstract :
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.
Keywords :
collision avoidance; image recognition; inspection; power engineering computing; power transmission lines; robot vision; double split transmission lines; inspection robot; monocular vision; obstacle localization; obstacle location center; obstacle recognition; voltage 220 kV; Calibration; Cameras; Image recognition; Inspection; Orbital robotics; Performance evaluation; Robot vision systems; Solid modeling; Testing; Transmission lines;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5303695