Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-77457-0_37
Title: Vision-based localization using a central catadioptric vision system
Authors: Saedan, M.
Lim, C.W.
Ang Jr., M.H. 
Issue Date: 2008
Citation: Saedan, M.,Lim, C.W.,Ang Jr., M.H. (2008). Vision-based localization using a central catadioptric vision system. Springer Tracts in Advanced Robotics 39 : 397-406. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-77457-0_37
Abstract: We present an appearance-based localization algorithm for an indoor environment that is inspired by human's localization and navigation capabilities. Our localization approach integrates the Monte-Carlo localization technique with an omnidirectional image matching algorithm. The approach yields robust localization outcome with reasonable accuracy even when operating in a large map with sparse reference images. © 2008 Springer-Verlag Berlin Heidelberg.
Source Title: Springer Tracts in Advanced Robotics
URI: http://scholarbank.nus.edu.sg/handle/10635/74007
ISBN: 9783540774563
ISSN: 16107438
DOI: 10.1007/978-3-540-77457-0_37
Appears in Collections:Staff Publications

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