Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13341
Title: Appearance-Based Mobile Robot Localization and Map-Building in Unstructured Environments
Authors: MANA SAEDAN
Keywords: Appearance-based, vision, localization, map-building, SLAM
Issue Date: 23-Oct-2007
Source: MANA SAEDAN (2007-10-23). Appearance-Based Mobile Robot Localization and Map-Building in Unstructured Environments. ScholarBank@NUS Repository.
Abstract: This thesis explains direct image processing of (circular) images from a catadioptric vision system. The image processing is then used in localization and map-building. Our research in vision-based navigation consists of localization that demonstrates the advantages of vision over other type of sensors. However, initial work is still limited by the assumption that a map of an environment is available. In particular, the assumption is often invalid due to dynamic changing of the surrounding appearance. Therefore, the simultaneous localization and map-building (SLAM) system is proposed. Our SLAM system is able to incrementally build a map and detect a loop in a cyclical environment. The system is able to produce a map with reasonable accuracy even when operating a robot in a large indoor area. Lastly, we present the integration of our appearance-based SLAM with other navigation tasks.
URI: http://scholarbank.nus.edu.sg/handle/10635/13341
Appears in Collections:Ph.D Theses (Open)

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