Abstract
In this work, we propose a simultaneous mobile robot localization and spatial context recognition system. The Harris corner detector and pyramid Lucas-Kanade optical flow are combined for robot localization. And, SIFT keypoints and its descriptors for the model-based object recognition and stereo vision technique are applied to spatial context recognition. The effectiveness of our proposed method is verified by experiments. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Jeong, S., Chung, J., Lee, S., Suh, I. H., & Choi, B. (2005). Design of a simultaneous mobile robot localization and spatial context recognition system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 945–952). Springer Verlag. https://doi.org/10.1007/11553939_133
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