Multi-Sensor SLAM Approach for Robot Navigation
| dc.contributor.author | Berrabah, Sid Ahmed | en_US |
| dc.contributor.author | Baudoin, Yvan | en_US |
| dc.contributor.author | Sahli, Hichem | en_US |
| dc.date.accessioned | 2013-06-24T14:06:34Z | en_US |
| dc.date.available | 2013-06-24T14:06:34Z | en_US |
| dc.date.issued | 2010 | en_US |
| dc.description.abstract | To be able to operate and act successfully, the robot needs to know at any time where it is. This means the robot has to find out its location relative to the environment. This contribution introduces the increase of accuracy of mobile robot positioning in large outdoor environments based on data fusion from different sensors: camera, GPS, inertial navigation system (INS), and wheel encoders. The fusion is done in a Simultaneous Localization and Mapping (SLAM) approach. | en_US |
| dc.identifier.issn | 1726-5479 | en_US |
| dc.identifier.uri | https://dspace.univ-tlemcen.dz/handle/112/2461 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Tlemcen | en_US |
| dc.subject | Multi-sensors fusion | en_US |
| dc.subject | Mobile robots | en_US |
| dc.subject | Navigation | en_US |
| dc.subject | Visual simultaneous localization | en_US |
| dc.subject | Mapping | en_US |
| dc.title | Multi-Sensor SLAM Approach for Robot Navigation | en_US |
| dc.type | Article | en_US |