Probabilistic Motion Planning for Automated Vehicles

Probabilistic Motion Planning for Automated Vehicles

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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 s...

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Bibliographic Details
Main Author: Naumann, Maximilian (auth)
Format: Electronic Book Chapter
Language:English
Published: Karlsruhe KIT Scientific Publishing 2021
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Subjects:
Mechanical engineering & materials
Bewegungsplanung
Planung unter Unsicherheiten
Entscheidungsfindung
Automatisiertes Fahren
POMDP
Motion Planning
Planning under Uncertainty
Decision-Making
Automated Vehicles
Online Access:DOAB: download the publication
DOAB: description of the publication
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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.
Physical Description:1 electronic resource (194 p.)
ISBN:KSP/1000126389
9783731510703
Access:Open Access

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