Assessment of visibility quality in adverse weather and illumination conditions
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
A vision-based blind spot warning system for daytime and nighttime driver assistance
Computers and Electrical Engineering
Active learning for on-road vehicle detection: a comparative study
Machine Vision and Applications
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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.