2 results for “Traffic Signs Classification”

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Research ArticleOpen accessIn the keywordsRF-CNNS: Thin Deep Learning Networks For Accelerating Traffic Signs RecognitionBtissam Bousarhane, Driss BouzidiRoad scene analysis is a wide domain of research that aims to ameliorate the environmental perception in intelligent transportation systems, including autonomous vehicles and advanced driver-assistance systems. It also plays a crucial role in road safety improvement, by contributing to the reduction of traffic accidents' rate. Ensuring an efficient recognition of traffic signs contributes enormously to making cars safer, which … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,335 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFuzzy Logic Decision Support System for Hypovigilance Detection based on CNN Feature Extractor and WN ClassifierInes Teyeb, Ahmed Snoun, Olfa Jemai, Mourad ZaiedFatigue and drowsiness are among the main causes of traffic accidents, just behind excessive speed and alcoholism. This paper deals with the problem of road safety. It attempts to present a driver vigilance monitoring system based on a video approach. This work aims at creating an assistive driving application employing eyes closure duration and head posture estimation as performant signs … …Journal of Computer Science, Vol. 14, Issue 11 · 22 Nov 2018 · 7,565 accessesView PDF Cite