Provident Vehicle Detection at Night for Advanced Driver Assistance Systems. (arXiv:2107.11302v3 [cs.CV] UPDATED)

In recent years, computer vision algorithms have become more powerful.
However, current algorithms mainly share one limitation: They rely on directly
visible objects. This is a significant drawback compared to human behavior,
where visual cues caused by objects (e.g., shadows) are already used
intuitively to retrieve information or anticipate occurring objects. While
driving at night, this performance deficit becomes even more obvious: Humans
already process the light artifacts caused by the headlamps of oncoming
vehicles to estimate where they appear, …

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