Paper Title:
Study in Stereovision Obstacle Avoidance for Adsorption Type Wall-Climbing Robot with Several Legs
  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.

  Info
Periodical
Edited by
Wenya Tian and Linli Xu
Pages
26-30
DOI
10.4028/www.scientific.net/AMR.186.26
Citation
G. Q. Huang, M. Yu, J. Y. Ling, "Study in Stereovision Obstacle Avoidance for Adsorption Type Wall-Climbing Robot with Several Legs", Advanced Materials Research, Vol. 186, pp. 26-30, 2011
Online since
January 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhi Gang Niu, Li Jun Li, Tie Wang
Chapter 5: Advanced Manufacturing Technology
Abstract:In order to meet the need of identifying obstacles and navigating for the Coal Mine Detection Robot which is used to rescue life and detect...
645
Authors: Jun Wang, Tao Mei, Bin Kong, Xiang Dong
Chapter 2: Manufacturing Technology and Machinery Automation
Abstract:For intelligent robots need reliable object recognition and precise orientation in complex environments, this paper presents a method that...
300
Authors: Yong Gang Xie, Zhong Min Wang, Shi Tao Su
Chapter 16: Nontraditional Manufacturing
Abstract:Timeliness and accuracy is a key to be resolved on robot binocular measurement. In this paper, a kind of robot vision projection has been...
603
Authors: Qing Ji Gao, Lu Yang
Chapter 4: Sensors, Measurement, Monitoring and Detection
Abstract:To the baggage specification automatically detection problem of self-service bag drop system, a baggage size detection algorithm based on...
861
Authors: Hong E Ren, Si Li
Chapter 21: Image Processing and Machine Vision
Abstract:About the key problems of the binocular vision system design which was used to video log examining, and according to the binocular parallax...
2372