Sensing accident-prone features in urban scenes for proactive driving and accident prevention. (arXiv:2202.12788v1 [cs.CV])

In urban cities, visual information along and on roadways is likely to
distract drivers and leads to missing traffic signs and other accident-prone
features. As a solution to avoid accidents due to missing these visual cues,
this paper proposes a visual notification of accident-prone features to
drivers, based on real-time images obtained via dashcam. For this purpose,
Google Street View images around accident hotspots (areas of dense accident
occurrence) identified by accident dataset are used to train a family of …

accident prevention arxiv cv features prevention sensing