Visual collision avoidance by segmentation
نویسنده
چکیده
Visual collision avoidance involves two diicult subprob-lems: obstacle recognition and depth measurement. We present a class of algorithms that use particularly simple methods for each subproblem and derive a set of suu-cient conditions for their proper functioning based on a set of idealizations. We then discuss and compare two diierent implementations of the approach and discuss their performance. Finally, we experimentally validate the idealizations. 1
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تاریخ انتشار 1994