Mobile Robot SLAM in Sparse Environment
碩士 === 國立暨南國際大學 === 電機工程學系 === 102 === This thesis presents a method for solving simultaneous localization and mapping (SLAM) in sparse-feature environment, by adopting a concept of particle filter with multiple extended Kalman filters (EKF). Compared with the common FastSLAM where in each particl...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/44242704620881901060 |