Paper Info
Title
AURORA: a vision-based roadway departure warning system
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.
Year
DOI
Venue
1995
10.1109/IROS.1995.525803
IROS (1)
Keywords
Field
DocType
road type,binormalized adjustable template correlation,vision-based roadway departure warning,vehicle driver,detects lane marker,color video camera,lateral position,preset threshold,possible impending roadway departure,promising result,portable sun sparc workstation,sun,system design,digitizer,workstations,lenses
Warning system,Computer vision,Wide-angle lens,ALARM,Correlation algorithm,Computer science,Image based,Workstation,Vision based,Artificial intelligence,Video camera
Conference
ISBN
Citations 
PageRank 
0-8186-7108-4
30
9.48
References 
Authors
1
3
Name
Order
Citations
PageRank
Mei Chen141836.25
Todd Jochem220342.49
Dean Pomerleau31039283.23