Qualitative Vision-based Mobile Robot Navigation

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Qualitative Vision-based Mobile Robot Navigation
— We present a novel, simple algorithm for mobile robot navigation. Using a teach-replay approach, the robot is manually led along a desired path in a teaching phase, then the robot autonomously follows that path in a replay phase. The technique requires a single off-the-shelf, forward-looking camera with no calibration (including no calibration for lens distortion). Feature points are automatically detected and tracked throughout the image sequence, and the feature coordinates in the replay phase are compared with those computed previously in the teaching phase to determine the turning commands for the robot. The algorithm is entirely qualitative in nature, requiring no map of the environment, no image Jacobian, no homography, no fundamental matrix, and no assumption about a flat ground plane. Experimental results demonstrate the capability of autonomous navigation in both indoor and outdoor environments, on both flat and slanted surfaces, with dynamic occluding objects, for dista...
Zhichao Chen, Stanley T. Birchfield
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICRA
Authors Zhichao Chen, Stanley T. Birchfield
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