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Sensing accident-prone features in urban scenes for proactive driving and accident prevention. (arXiv:2202.12788v2 [cs.CV] UPDATED)
Nov. 21, 2022, 2:14 a.m. | Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti, Dongsoo Har
cs.CV updates on arXiv.org arxiv.org
In urban cities, visual information on and along roadways is likely to
distract drivers and lead to missing traffic signs and other accident-prone
(AP) features. To avoid accidents due to missing these visual cues, this paper
proposes a visual notification of AP-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 a
real-accident dataset are used to train a novel attention module to …
accident prevention arxiv driving features prevention sensing
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