Produkt
KlappentextThis 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.
Details
ISBN/GTIN978-3-7315-1039-0
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2021
Erscheinungsdatum13.09.2021
Reihen-Nr.048
Seiten180 Seiten
SpracheEnglisch
Gewicht350 g
Illustrationengraph. Darst.
Artikel-Nr.50109280
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