Fusion of laser and visual data for robot motion planning and collision avoidance
Machine Vision and Applications
Surface reconstruction from stereo data using three-dimensional markov random field model
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
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In this paper, a method for inferring 3D structure information based on both range and visual data is proposed. Data fusion is achieved by validating assumptions formed according to 2D range scans of the environment, through the exploitation of visual information. The proposed method is readily applicable to robot navigation tasks providing significant advantages over existing methods.