A model-based method for indoor mobile r
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Omar Ait Aider; Philippe Hoppenot; Etienne Colle
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Article
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2005
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Elsevier Science
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English
β 515 KB
A model-based method for indoor mobile robot localization is presented herein; this method relies on monocular vision and uses straight-line correspondences. A classical four-step approach has been adopted (i.e. image acquisition, image feature extraction, image and model feature matching, and camer