NDLI: 1 AURORA: A Vision-Based Roadway Departure Warning System

Content Provider	CiteSeerX
Author	Chen, Mei Jochem, Todd Pomerleau, Dean
Abstract	AURORA is a vision-based system designed to warn a vehicle driver of possible impending road-way 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 lat-eral 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. 1.
File Format	PDF
Access Restriction	Open
Subject Keyword	Vision-based Roadway Departure Warning System Preset Threshold Lighting Condition Road-way Departure Accident Wide Angle Lens Vehicle Lat-eral Position Adjustable Template Correlation Algorithm Color Video Camera Vehicle Driver Portable Sun Sparc Workstation Structured Road Many Road Type Vision-based System Lane Marker
Content Type	Text

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