Robust Hybrid Control For Autonomous Vehicle Motion Planning
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Robust Hybrid Control for Autonomous Vehicle Motion Planning
Author | : Emilio Frazzoli |
Publisher | : |
Total Pages | : 150 |
Release | : 2001 |
Genre | : |
ISBN | : |
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(Cont.) In the second part of the dissertation, a randomized algorithm is proposed for real-time motion planning in a dynamic environment. By employing the optimal control solution in a free space developed for the maneuver automaton (or for any other general system), we present a motion planning algorithm with probabilistic convergence and performance guarantees, and hard safety guarantees, even in the face of finite computation times. The proposed methodologies are applicable to a very large class of autonomous vehicles: throughout the dissertation, examples, simulation and experimental results are presented and discussed, involving a variety of mechanical systems, ranging from simple academic examples and laboratory setups, to detailed models of small autonomous helicopters.
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