| Autor: |
Ung-Hee Lee, Jong-Koo Park, Tae-Yong Kuc, Sung-Hyeon Joo |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 International Conference on Electronics, Information, and Communication (ICEIC). |
| DOI: |
10.23919/elinfocom.2018.8330614 |
| Popis: |
This paper proposes a new SLAM (Simultaneous Localization and Mapping) algorithm based on hybrid map method. We express the environment surrounding mobile robot with a grid and a feature map. Using the reliability of estimation for individual map, we calculate the importance factor for Rao-Blackwellized Particle Filter (RBPF) resampling. In this way, we improve the accuracy of the algorithm and reduce computational complexity. Experimental results verify the feasibility and effectiveness of our algorithm. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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