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Probabilistic Motion Planning for Automated Vehicles
Maximilian Naumann
2021
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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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Keywords
- Automated vehicles
- Automatisiertes Fahren
- Bewegungsplanung
- Decision-making
- Entscheidungsfindung
- Mechanical engineering & materials
- Motion Planning
- Planning under Uncertainty
- Planung unter Unsicherheiten
- POMDP
- Technology, engineering, agriculture
Links
DOI: 10.5445/KSP/1000126389Editions