In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.
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Naumann, M. 2021. Probabilistic Motion Planning for Automated Vehicles. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000126389
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Veröffentlicht am 25. Februar 2021
Englisch
194
Paperback | 978-3-7315-1070-3 |