June 17, 2024, 4:46 a.m. | Adnan Md Tayeb, Mst Ayesha Khatun, Mohtasin Golam, Md Facklasur Rahaman, Ali Aouto, Oroceo Paul Angelo, Minseon Lee, Dong-Seong Kim, Jae-Min Lee, Jung

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.10128v1 Announce Type: new
Abstract: Precise and prompt identification of road surface conditions enables vehicles to adjust their actions, like changing speed or using specific traction control techniques, to lower the chance of accidents and potential danger to drivers and pedestrians. However, most of the existing methods for detecting road surfaces solely rely on visual data, which may be insufficient in certain situations, such as when the roads are covered by debris, in low light conditions, or in the presence …

abstract accidents arxiv chance control cs.cv danger detection drivers driving however identification intelligent multimodal pedestrians potential prompt real-time safe speed surface type vehicles

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