DocumentCode :
3528077
Title :
Map based road boundary estimation
Author :
Darms, Michael ; Komar, Matthias ; Lueke, Stefan
Author_Institution :
Chassis & Safety Div., Continental, Lindau am Bodensee, Germany
fYear :
2010
fDate :
21-24 June 2010
Firstpage :
609
Lastpage :
614
Abstract :
Knowledge about the road shape is a key element for driver assistance systems which support the driver in complex scenarios like construction sites. Systems only using information derived from lane markings reach a limit here. The paper presents an approach to estimate road boundaries based on static objects bounding the road. A map based environment description and an interpretation algorithm identifying the road boundaries in the map are used. Two approaches are presented for estimating the map, one based on a radar sensor, one on a mono video camera. Besides that two fusion approaches are described. The estimated boundaries are independent of road markings and as such can be used as orthogonal information with respect to detected markings. Results of practical tests using the estimated road boundaries for a lane keeping system are presented.
Keywords :
driver information systems; edge detection; road vehicle radar; roads; video cameras; driver assistance systems; lane markings; map; mono video camera; radar sensor; road boundary estimation; road shape; Automotive engineering; Cameras; Intelligent vehicles; MONOS devices; Radar detection; Road vehicles; Shape control; Simultaneous localization and mapping; System testing; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
ISSN :
1931-0587
Print_ISBN :
978-1-4244-7866-8
Type :
conf
DOI :
10.1109/IVS.2010.5548011
Filename :
5548011
Link To Document :
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