Motion Planning for Autonomous Vehicles in Partially Observable Environments

This work develops a motion planner that compensates the deficiencies from perception modules by exploiting the reaction capabilities of a vehicle. The work analyzes present uncertainties and defines driving objectives together with constraints that ensure safety. The resulting problem is solved in...

Full description

Bibliographic Details

Main Author:	Taş, Ömer Şahin
Format:	Online
Language:	English
Published:	KIT Scientific Publishing 2023
Subjects:	Robotics; Planning under Uncertainty; Decision Making; Information Gathering; Motion Planning; Robotik; Automatisiertes Fahren; Planung unter Unsicherheiten; Entscheidungsfindung; Bewegungsplanung
Online Access:	OCN: 1410104286
Tags:	Add Tag No Tags, Be the first to tag this record!