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Probabilistic Motion Planning for Automated Vehicles (2021)

Naumann, Maximilian

KIT Scientific Publishing

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Publication Date: 2024-04-11

Description: 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.

Keywords: Bewegungsplanung ; Planung unter Unsicherheiten ; Entscheidungsfindung ; Automatisiertes Fahren ; POMDP ; Motion Planning ; Planning under Uncertainty ; Decision-Making ; Automated Vehicles ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials

Language: English

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