Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9747
Title: Development of the binocular-vision-enhanced mobile robot navigation
Authors: Liu, JNK
Kan, BCS
Keywords: Binocular system
Colour vision
Feature extraction
Harris feature detector
Mobile robotics
Navigation
Object avoidance
Odometry errors
Six points calibration
Sonar mapping
Stereo matching
Issue Date: 2011
Publisher: InterScience
Source: International journal of intelligent systems technologies and applications, 2011, v. 10, no. 1, p. 15-45 How to cite?
Journal: International journal of intelligent systems technologies and applications 
Abstract: Active map learning for autonomous robots exploring in unknown environments is an essential and vital issue for robot navigation. However, many factors limit a robot's ability to learn accurate map models in practice. To enhance its learning capability, this paper proposed a binocular vision system, developed using IP web cameras and MATLAB image processing toolbox. It integrates knowledge from computer vision and robot navigation. Through the binocular vision system, binocular images are captured and analysed so that feature objects or shapes are identified. Together with sonar readings, this information is used in collision avoidance and map building. It is shown that the capability of active map learning is effectively realised by adopting this binocular vision system.
URI: http://hdl.handle.net/10397/9747
ISSN: 1740-8865
DOI: 10.1504/IJISTA.2011.038262
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