AURORA: A Vision-Based Roadway Departure Warning System
Tech. Report, CMU-RI-TR-97-21, Robotics Institute, Carnegie Mellon University, May, 1997
Abstract
AURORA is a vision-based system designed to warn a vehicle driver of psosible 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 the 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.
BibTeX
@techreport{Chen-1997-14388,author = {Mei Chen and Todd Jochem and Dean Pomerleau},
title = {AURORA: A Vision-Based Roadway Departure Warning System},
year = {1997},
month = {May},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-97-21},
}
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