DocumentCode
1805073
Title
RALPH: rapidly adapting lateral position handler
Author
Pomerleau, Dean
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1995
fDate
25-26 Sep 1995
Firstpage
506
Lastpage
511
Abstract
Nearly 15,000 people die each year in the US in single vehicle roadway departure crashes. These accidents are often caused by driver inattention, or driver impairment (e.g. fatigued or intoxicated drivers). A system capable of warning the driver when the vehicle starts to depart the roadway, or controlling the lateral position of the vehicle to keep it in its lane, could potentially eliminate many of these crashes. This paper presents a system called RALPH (Rapidly Adapting Lateral Position Handler) which decomposes the problem of steering a vehicle into three steps, 1) sampling of the image, 2) determining the road curvature, and 3) determining the lateral offset of the vehicle relative to the lane center. The output of the later two steps are combined into a steering command, which can be compared with the human driver´s current steering direction as part of a road departure warning system, or sent directly to the steering motor
Keywords
image sampling; position control; road vehicles; RALPH; driver impairment; driver inattention; image sampling; lateral offset; rapidly adapting lateral position handler; road curvature; road departure warning system; single vehicle roadway departure crashes; steering command; Control systems; Humans; Image sampling; Machine learning; Machine vision; Road accidents; Road vehicles; Robots; Vehicle crash testing; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location
Detroit, MI
Print_ISBN
0-7803-2983-X
Type
conf
DOI
10.1109/IVS.1995.528333
Filename
528333
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