Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project

Paul Furgale*, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Markus Beermann, Christian Häne, Lionel HengGim Hee Lee, Friedrich Fraundorfer, Rene Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cedric Pradalier, Roland Siegwart, Kevin Köser, Peter Mühlfellner

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Future requirements for drastic reduction of CO2 production and energy consumption will lead to significant changes in the way we see mobility in the years to come. However, the automotive industry has identified significant barriers to the adoption of electric vehicles, including reduced driving range and greatly increased refueling times. Automated cars have the potential to reduce the environmental impact of driving, and increase the safety of motor vehicle travel. The current state-of-the-art in vehicle automation requires a suite of expensive sensors. While the cost of these sensors is decreasing, integrating them into electric cars will increase the price and represent another barrier to adoption. The V-Charge Project, funded by the European Commission, seeks to address these problems simultaneously by developing an electric automated car, outfitted with close-to-market sensors, which is able to automate valet parking and recharging for integration into a future transportation system. The final goal is the demonstration of a fully operational system including automated navigation and parking. This paper presents an overview of the V-Charge system, from the platform setup to the mapping, perception, and planning sub-systems.

Originalspracheenglisch
Titel2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Seiten809-816
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2013
Veranstaltung2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013 - Gold Coast, QLD, Australien
Dauer: 23 Jun 201326 Jun 2013

Konferenz

Konferenz2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
LandAustralien
OrtGold Coast, QLD
Zeitraum23/06/1326/06/13

ASJC Scopus subject areas

  • !!Computer Science Applications
  • Fahrzeugbau
  • !!Modelling and Simulation

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  • Dieses zitieren

    Furgale, P., Schwesinger, U., Rufli, M., Derendarz, W., Grimmett, H., Wonneberger, S., ... Mühlfellner, P. (2013). Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. in 2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013 (S. 809-816). [6629566] https://doi.org/10.1109/IVS.2013.6629566