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Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception

Produktform: Buch / Einband - flex.(Paperback)

This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.weiterlesen

Sprache(n): Englisch

ISBN: 978-3-7315-1039-0 / 978-3731510390 / 9783731510390

Verlag: KIT Scientific Publishing

Erscheinungsdatum: 13.09.2021

Seiten: 180

Autor(en): Constantin Hubmann

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