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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zamora, E. Wen Yu |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico (Zamora, E.; Wen Yu) |
| Abstract | Because the range of mobile robot sensor is limited and the navigation map is not accurate, autonomous navigation in dynamic and unknown environment is a big challenge. In this paper, we propose two novel autonomous navigation algorithms, which are based on the analysis of three conditions for unobserved and uncertainty environment during the navigation. The algorithm for dynamic environment uses the “known space” and “free space” conditions. It corrects false obstacles in the map when conventional path is stuck. The navigation algorithm for unknown environment uses the “unknown space” and “free space” conditions. We use Monte Carlo method to evaluate the performance of our algorithms and the other methods. Experimental results show that our autonomous navigation algorithms are better than the others. |
| Starting Page | 1276 |
| Ending Page | 1281 |
| File Size | 248022 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479938407 |
| DOI | 10.1109/SMC.2014.6974090 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Navigation Heuristic algorithms Algorithm design and analysis Robot sensing systems Indexes Vehicle dynamics |
| Content Type | Text |
| Resource Type | Article |
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