Probabilistic Motion Planning for Automated Vehicles

• Autore: Naumann Maximilian
• Pubblicazione: Karlsruhe, : KIT Scientific Publishing, 2021
• Descrizione fisica: 1 online resource (194 p.)
• Soggetto topico: Mechanical engineering & materials
• Soggetto non controllato: Automated Vehicles; Automatisiertes Fahren; Bewegungsplanung; Decision-Making; Entscheidungsfindung; Motion Planning; Planning under Uncertainty; Planung unter Unsicherheiten; POMDP
• Sommario/riassunto: 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.
• Titolo autorizzato: Probabilistic Motion Planning for Automated Vehicles
• ISBN: 1000126389
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910476902303321
• Lo trovi qui: Univ. Federico II