DocumentCode :
1804970
Title :
A road edge detection approach for marked and unmarked lanes based on video and radar
Author :
Janda, Florian ; Pangerl, Sebastian ; Schindler, Andreas
Author_Institution :
Inst. for Software Syst. in Tech. Applic. (FORWISS), Univ. of Passau, Passau, Germany
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
871
Lastpage :
876
Abstract :
In this paper we present a reliable and real-time perception approach for detecting road boundaries by fusing video and radar. The road boundary is defined as the change from road surface to non-road area. We show the integration of a multi-lane recognition system into the detection algorithm, which makes the approach independent of the number of lanes and the visibility of lane markings. The performance of the system is evaluated by means of manually labeled reference data. Information on the road geometry like the curvature and the relative position of the ego vehicle is crucial for ADAS. The road boundary detection acts as main component for postponed functions like a run-off-road prevention, which keeps a vehicle on the drivable area. This work is part of the European project interactIVe, which addresses new technologies and approaches to increase vehicle safety through an integrated platform.
Keywords :
driver information systems; edge detection; road safety; road traffic; road vehicle radar; roads; sensor fusion; video signal processing; ADAS; detection algorithm; ego vehicle; integrated platform; lane markings; manually labeled reference data; multilane recognition system; nonroad area; radar fusion; real-time perception approach; reliable perception approach; road boundary detection; road edge detection approach; road geometry; road surface; run-off-road prevention; system performance; unmarked lanes; vehicle safety; video fusion; Discrete cosine transforms; Image edge detection; Radar imaging; Roads; Vehicles; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
Type :
conf
Filename :
6641085
Link To Document :
بازگشت