DocumentCode :
3503057
Title :
Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project
Author :
Furgale, Paul ; Schwesinger, Ulrich ; Rufli, Martin ; Derendarz, Wojciech ; Grimmett, Hugo ; Muhlfellner, Peter ; Wonneberger, Stefan ; Timpner, Julian ; Rottmann, Stephan ; Bo Li ; Schmidt, Benedikt ; Nguyen, Tuan N. ; Cardarelli, Elena ; Cattani, Stefan
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
809
Lastpage :
816
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.
Keywords :
air pollution control; control engineering computing; electric vehicles; mobile robots; road safety; road traffic control; European Commission; V-Charge Project; automated driving; automotive industry; carbon dioxide production reduction; close-to-market sensors; electric automated car; electric vehicles; energy consumption reduction; environmental impact reduction; future transportation system; motor vehicle travel safety; subsystem mapping; subsystem perception; subsystem planning; valet parking automation; vehicle automation; Cameras; Planning; Roads; Sensor systems; Servers; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2754-1
Type :
conf
DOI :
10.1109/IVS.2013.6629566
Filename :
6629566
Link To Document :
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