Title :
Research on obstacle avoidance for mobile robot based on binocular stereo vision and infrared ranging
Author :
Duan, Suolin ; Li, Yunfeng ; Chen, Shuyue ; Chen, Lanping ; Min, Jijiang ; Zou, Ling ; Ma, Zhenghua ; Ding, Ji
Author_Institution :
Robot. Inst., Changzhou Univ., Changzhou, China
Abstract :
In this paper, a mobile robot obstacle avoidance system based on information fusion of infrared sensor and binocular vision sensors is proposed. The complete distance information between the robot and obstacles, which is obtained from the infrared sensors and the binocular sensor can real-time help the robot perceiving its location relative to all kinds of obstacles under the unknown environment. Furthermore, a reasonable obstacles-avoiding strategy based on the location information is used to govern the DC servo motors of the left and right driving wheels and realize real-time avoiding obstacles. At last, it is demonstrated by the experiments that the proposed method is effective.
Keywords :
DC motors; collision avoidance; image sensors; infrared detectors; mobile robots; robot vision; servomotors; stereo image processing; DC servo motors; binocular stereo vision; binocular vision sensors; information fusion; infrared ranging; infrared sensor; location information; mobile robot obstacle avoidance system; real-time avoiding obstacles; Collision avoidance; Distance measurement; Infrared sensors; Mobile robots; Robot sensing systems; Stereo vision; avoidance obstacles; binocular stereo vision; infrared ranging; mobile robot;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970671