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Path Planning for Vehicles Operating in Uncertain 2D Environments
Engleski
305 b
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Path planning for vehicles operating in uncertain 2D-environments presents a survey including several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks and neural-like structures, procedures of genetic search, and unstable motion modes. Presents a survey of methods accounting limitations imposed by the vehicle dynamicsOffers solution of the motion task without any a-priori information about the obstacles locationProposes modified and new original methods including neural networking, grapho-analytical, nature-inspiredGives tools for a novice researcher to select a method that would suit his needs or to synthesize new hybrid methods
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