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research article

Real-time vehicle tracking for driving assistance

Fossati, Andrea
•
Schönmann, Patrick  
•
Fua, Pascal  
2011
Machine Vision and Applications

Detecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. We rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This allows the generation of an interface that informs a driver of the relative distance and velocity of other vehicles in real time and triggers a warning when a potentially dangerous situation arises. We demonstrate the system using sequences shot using a camera mounted behind a car’s windshield.

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Type
research article
DOI
10.1007/s00138-009-0243-6
Web of Science ID

WOS:000287205100017

Author(s)
Fossati, Andrea
Schönmann, Patrick  
Fua, Pascal  
Date Issued

2011

Published in
Machine Vision and Applications
Volume

22

Issue

2

Start page

439

End page

448

Subjects

Vehicle tracking

•

Real-time

•

Light detection

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
June 24, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/51270
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