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|Title:||Vision-based localization using a central catadioptric vision system||Authors:||Saedan, M.
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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