Active global localization for a mobile robot using multiple hypothesis tracking.
We present a probabilistic approach for mobile robot localization using an incomplete topological world model. The method, called the multi-hypothesis localization (MHL), uses multi-hypothesis Kalman filter based pose tracking combined with a probabilistic formulation of hypothesis correctness to ge...
| 出版年: | IEEE Transactions on robotics and automation 17, 5 (2001). |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 主題: |