DocumentCode :
3446947
Title :
AURORA: a vision-based roadway departure warning system
Author :
Chen, Mei ; Jochem, Todd ; Pomerleau, Dean
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
fYear :
1995
fDate :
5-9 Aug 1995
Firstpage :
243
Abstract :
AURORA is a vision-based system designed to warn a vehicle driver of possible impending roadway departure accidents. It employs a downward looking color video camera with a wide angle lens, a digitizer, and a portable Sun Sparc workstation. Using a binormalized adjustable template correlation algorithm, it reliably detects lane markers on structured roads at 60 Hz. A time-to-lane-crossing (TLC) measurement is calculated for each image based on the estimation of vehicle´s lateral position and velocity. This measurement is used to trigger an alarm when the TLC falls below a preset threshold. Promising results have been achieved under a variety of weather and lighting conditions, on many road types
Keywords :
driver information systems; image colour analysis; position measurement; road vehicles; velocity measurement; AURORA; binormalized adjustable template correlation algorithm; digitizer; downward looking color video camera; impending roadway departure accidents; lane markers; lateral position estimation; lateral velocity estimation; portable Sun Sparc workstation; time-to-lane-crossing measurement; vision-based roadway departure warning system; wide angle lens; Alarm systems; Cameras; Lenses; Position measurement; Road accidents; Road vehicles; Sun; Vehicle detection; Vehicle driving; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-7108-4
Type :
conf
DOI :
10.1109/IROS.1995.525803
Filename :
525803
Link To Document :
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