Abstract
The new stereo-based Computer vision system presented here enables a robot to automatically navigate in an unknown environment by detecting obstructions. Development is aiming at a cheap, robust sensor which, apart from measuring object distance and direction, has the ability to judge and verify the validity of estimated data. Based on the assumption of planar robot motion, stochastical disparity measurement techniques are applied to make it insensitive to changes of illumination and contrast as well as to reflections and shadows. The Software based technique runs on a Standard PC in real time (about 5 Hz) and shows promising results.
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Suppes, A., Niehe, S., Hötter, M., Kunze, E. (2000). Stereobasierte Videosensorik unter Verwendung einer stochastischen Zuverlässigkeitsanalyse. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_9
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DOI: https://doi.org/10.1007/978-3-642-59802-9_9
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