- Journal Article
Rights / licenseIn Copyright - Non-Commercial Use Permitted
In this work an overview of the local mo-tion planning and dynamic perception framework withinthe V-Charge project is presented. This framework en-ables the V-Charge car to autonomously navigate in dy-namic mixed-traffic scenarios. Other traffic participantsare detected, classified and tracked from a combinationof stereo and wide-angle monocular cameras. Predictionsof their future movements are generated utilizing infras-tructure information. Safe motion plans are acquired witha system-compliant sampling-based local motion planner.We show the navigation performance of this vision-onlyautonomous vehicle in both simulation and real-world ex-periments. Show more
Journal / seriesit - Information Technology
Pages / Article No.
SubjectAutomotive; autonomous navigation; motion planning; environment perception
Organisational unit03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
269916 - V-Charge - Autonomous Valet Parking and Charging for e-Mobility (EC)
NotesIt was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
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