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Found 4 papers, 3 papers with code
Provident Vehicle Detection at Night for Advanced Driver Assistance Systems
To demonstrate the usefulness of such an algorithm, the proposed algorithm is deployed in a test vehicle to use the detected light artifacts to control the glare-free high beam system proactively.
A Dataset for Provident Vehicle Detection at Night
In this paper, we study the problem of how to map this intuitive human behavior to computer vision algorithms to detect oncoming vehicles at night just from the light reflections they cause by their headlights.
Provident Vehicle Detection at Night: The PVDN Dataset
As humans, we intuitively assume oncoming vehicles before the vehicles are actually physically visible by detecting light reflections caused by their headlamps.
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
The decomposition of objects into generic components combined with the probabilistic reasoning provides by design a clear interpretation of the classification decision process.
