Detecting Distracted Drivers Using Convolutional Neural Networks
M Tarabin, MM Alketbi, HR Alfalasi… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Driver distraction has become a major concern for road safety as distracted driving is a
leading cause of car accidents, resulting in a large number of injuries and fatalities every …
leading cause of car accidents, resulting in a large number of injuries and fatalities every …
An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses
Deep learning-based driver assistance systems (ADAS) have attracted interest from
researchers due to their impact on improving vehicle safety and reducing road traffic …
researchers due to their impact on improving vehicle safety and reducing road traffic …
眼球運動の計測サンプリングがドライバのメンタルワークロード推定精度に与える影響
山中仁寛， 小林賢司 - 人間工学, 2023 - jstage.jst.go.jp
抄録 眼球の動きや頭の動きに関連するパラメータを判別分析や機械学習へ適用して,
運転中のドライバのメンタルワークロードを推定する研究がいくつか行われている. しかしながら …
運転中のドライバのメンタルワークロードを推定する研究がいくつか行われている. しかしながら …