language: en

AURORA: A Vision-Based Roadway Departure Warning System

Mei Chen, Todd Jochem, Dean Pomerleau
{meichen, tjochem, pomerlea}@ri.cmu.edu
The Robotics Institute, Carnegie Mellon University,
Pittsburgh PA 15213

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 vehicles 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.

1. Introduction