Dynamic Flies: Using Real-Time Parisian Evolution in Robotics
作者： Amine M. Boumaza , Jean Louchet
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摘要: The Fly algorithm is a Parisian evolution strategy devised for parameter space exploration in computer vision applications, which has been applied to stereovision. resulting scene model set of 3-D points concentrate upon the surfaces obstacles. In this paper, we present how evolutionary analysis can be continuously updated and integrated into specific real-time mobile robot navigation system. Simulation-based experimental results are presented.
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