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Probabilistic Motion Planning for Automated Vehicles

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 s...

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Bibliographic Details
Main Author: Naumann, Maximilian
Format: eBook
Language:English
Published: Karlsruhe KIT Scientific Publishing 2021
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Subjects:
Decision-making
Mechanical Engineering & Materials / Bicssc
Automatisiertes Fahren
Bewegungsplanung
Planning Under Uncertainty
Entscheidungsfindung
Pomdp
Planung Unter Unsicherheiten
Motion Planning
Automated Vehicles
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), by-sa/4.0, http://creativecommons.org/licenses/by-sa/4.0
Physical Description:1 electronic resource (194 p.)
ISBN:1000126389
9783731510703

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