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.
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© 2005 Springer-Verlag Berlin Heidelberg
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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: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_133
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DOI: https://doi.org/10.1007/11553939_133
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
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