Automated Valet Parking And Charging For E-Mobility

Ulrich Schwesinger,Mathias Buerki,Julian Timpner,Stephan Rottmann,Lars Wolf,Lina Maria Paz,Hugo Grimmett,Ingmar Posner,Paul Newman,Christian Haene,Lionel Heng,Gim Hee Lee,Torsten Sattler,Marc Pollefeys, Marco Allodi,Francesco Valenti, Keiji Mimura, Bernd Goebelsmann, Wojciech Derendarz,Peter Muehlfellner,Stefan Wonneberger,Rene Waldmann, Sebastian Grysczyk,Carsten Last, Stefan Bruening, Sven Horstmann, Marc Bartholomaeus, Clemens Brummer, Martin Stellmacher,Fabian Pucks, Marcel Nicklas,Roland Siegwart

2016 IEEE Intelligent Vehicles Symposium (IV)(2016)

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摘要
Automated valet parking services provide great potential to increase the attractiveness of electric vehicles by mitigating their two main current deficiencies: reduced driving ranges and prolonged refueling times. The European research project V-Charge aims at providing this service on designated parking lots using close-to-market sensors only. For this purpose the project developed a prototype capable of performing fully automated navigation in mixed traffic on designated parking lots and GPS-denied parking garages with cameras and ultrasonic sensors only. This paper summarizes the work of the project, comprising advances in network communication and parking space scheduling, multi-camera calibration, semantic mapping concepts, visual localization and motion planning. The project pushed visual localization, environment perception and automated parking to centimetre precision. The developed infrastructure-based camera calibration and semi-supervised semantic mapping concepts greatly reduce maintenance efforts. Results are presented from extensive month-long field tests.
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关键词
Automated driving,autonomous vehicle,calibration,visual localization,motion planning
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