Abstract
We propose a position estimation technique for non-stop outdoor navigation of an autonomous mobile robot. The proposed position estimation technique is based on maximum likelihood estimation. To cope with the parallel processing of internal and external sensor information and time delay in the sensor data process, we introduce the retroactive positioning data fusion technique. The proposed technique is implemented on our small size autonomous mobile robot. An experimental result is shown, in which our robot could navigate itself without stopping even when it takes several seconds of processing time to detect landmark from external sensor data.
| Original language | English |
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| Pages | 130-135 |
| Number of pages | 6 |
| Publication status | Published - 1995 Jan 1 |
| Event | Proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3) - Pittsburgh, PA, USA Duration: 1995 Aug 5 → 1995 Aug 9 |
Other
| Other | Proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3) |
|---|---|
| City | Pittsburgh, PA, USA |
| Period | 95/8/5 → 95/8/9 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications