Probabilistic Motion Planning for Automated Vehicles

• Главный автор: Naumann, Maximilian (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Karlsruhe KIT Scientific Publishing 2021
• Серии: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie 44
• Предметы: Mechanical engineering & materials; Bewegungsplanung; Planung unter Unsicherheiten; Entscheidungsfindung; Automatisiertes Fahren; POMDP; Motion Planning; Planning under Uncertainty; Decision-Making; Automated Vehicles
• Online-ссылка: OAPEN Library: download the publication; OAPEN Library: description of the publication

Итог

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.

Объем

1 electronic resource (194 p.)

ISBN

KSP/1000126389
9783731510703

Доступ

Open Access