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Motion Planning for Autonomous Vehicles in Partially Observable Environments

Produktform: Buch / Einband - flex.(Paperback)

This work develops a motion planner that compensates the deficiencies from perception modules by exploiting the reaction capabilities of a vehicle. The work analyzes present uncertainties and defines driving objectives together with constraints that ensure safety. The resulting problem is solved in real-time, in two distinct ways: first, with nonlinear optimization, and secondly, by framing it as a partially observable Markov decision process and approximating the solution with sampling.weiterlesen

Sprache(n): Englisch

ISBN: 978-3-7315-1299-8 / 978-3731512998 / 9783731512998

Verlag: KIT Scientific Publishing

Erscheinungsdatum: 23.10.2023

Seiten: 224

Autor(en): Ömer Şahin Taş

43,00 € inkl. MwSt.
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