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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Olson, C.F. Abi-Rached, H. Ming Ye Hendrich, J.P. |
| Copyright Year | 2003 |
| Description | Author affiliation: Comput. & Software Syst., Washington Univ., WA, USA (Olson, C.F.) |
| Abstract | In order to perform localization and navigation over significant distances (up to a few kilometers), it is important to be able to accurately map the terrain to be traversed. Local methods, such as conventional stereo, do not scale well to large distances and prevent long-range planning. In this paper, we discuss wide-baseline stereo techniques for rovers. In wide-baseline stereo, the image pair is captured with the same camera, but at different positions of the rover. While the larger baseline allows improved accuracy for more distant terrain, stereo matching is more difficult for two reasons. First, odometry errors result in uncertain knowledge of the relative positions of the cameras when the images are captured. Second, the change in perspective makes stereo matching difficult, since image landmarks no longer has the same appearance in both images. We address these problems and show test results on real images. |
| Sponsorship | IEEE Robotics & Autom. Soc. IEEE Ind. Electron. Soc. Robotics Soc. Japan Soc. Instrum. & Control Eng. New Technol. Found |
| Starting Page | 1302 |
| Ending Page | 1307 |
| File Size | 718859 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378601 |
| DOI | 10.1109/IROS.2003.1248825 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stereo vision Mars Cameras Navigation Software systems Rain Robot vision systems Testing Terrain mapping Computer vision |
| Content Type | Text |
| Resource Type | Article |
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