Study in Stereovision Obstacle Avoidance for Adsorption Type Wall-Climbing Robot with Several Legs

Article Preview

Abstract:

Considering the work environment and characteristics of wall-climbing robot, a kind of real-time obstacle avoidance method based on stereovision is proposed. In order to improve veracity and speediness, the mathematical model of parallel binocular stereovision is built, and a homonymy point matching algorithm based on correlation of region and boundary is presented. The results indicate that this method has good characteristics of reducing data processed, improving celerity, which can realize of obstacle avoidance easily and reliably.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

26-30

Citation:

Online since:

January 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yu Jin, Rao Ji, Yan Juntao: Study on binocular stereovision-based obstacle avoiding of wall-climbing robo. Transducer and Microsystem Technologies 26 (7) (2007) 67-72.

Google Scholar

[2] Xiong Chao, Tian Xiaofang, Lu Qiyong: Real-time Binocular Matching and Depth Measurement Based on Competing Schema. Computer Engineering and Applications. 1 (2006) 83-85.

Google Scholar

[3] Maravall D., Fernandez E., Conference A: Computer Vision and Applications, Proceedings. 11th IAPR International Conference, (1992) 411 - 414.

Google Scholar

[4] Rao Ji: Research on Binocular Vision-based Navigation System of a Wall-Cleaning Robot. Master's Degree Dissertation of Chongqing University, China (2007).

Google Scholar