Title :
Wide-baseline stereo vision for Mars rovers
Author :
Olson, C.F. ; Abi-Rached, H. ; Ye, Ming ; Hendrich, J.P.
Author_Institution :
Comput. & Software Syst., Washington Univ., WA, USA
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.
Keywords :
Mars; cameras; distance measurement; image matching; mobile robots; navigation; planetary rovers; stereo image processing; Mars rovers; localization; navigation; odometry errors; stereo matching; wide-baseline stereo vision; Cameras; Computer vision; Mars; Navigation; Rain; Robot vision systems; Software systems; Stereo vision; Terrain mapping; Testing;
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
DOI :
10.1109/IROS.2003.1248825