抄録
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.
| 本文言語 | English |
|---|---|
| ページ | 130-135 |
| ページ数 | 6 |
| 出版ステータス | Published - 1995 1月 1 |
| イベント | Proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Part 3 (of 3) - Pittsburgh, PA, USA 継続期間: 1995 8月 5 → 1995 8月 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
- 制御およびシステム工学
- ソフトウェア
- コンピュータ ビジョンおよびパターン認識
- コンピュータ サイエンスの応用