Abstract: Detection of drowsiness in drivers is a crucial aspect to improve road safety and reduce traffic accidents. This study evaluates the comparative performance of the latest object detection ...
Abstract: Electromyography (EMG) signals are extensively investigated inputs for driver drowsiness detection algorithms due to its ability to monitor muscle activity. However, the use of facial muscle ...
Abstract: Driver fatigue is a leading cause of traffic accidents, underscoring the urgent need for advanced fatigue detection systems. The integration of physiological signals, especially ...
Abstract: Drowsiness-related Road accidents are becoming more common, highlighting the need for effective driver monitoring systems. This paper introduces a real-time drowsiness detection system using ...
Tragedy struck on SR-50 near mile marker 136 on Monday evening, as a Ford F250 box truck veered into oncoming traffic, resulting in a head-on collision with a motorcycle, killing both riders, ...
Abstract: In today’s world Driver drowsiness is a major cause of road accidents, necessitating the development of robust and accurate drowsiness detection systems. Traditional single-feature ...
Abstract: Distracted driving is a significant cause of road accidents worldwide, so innovative solutions for effective detection and prevention are needed. This study explores recent advancements in ...
Abstract: Ensuring driver alertness is essential for road safety, as fatigue-related accidents significantly contribute to global traffic fatalities. Prolonged driving, lack of rest, and monotonous ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback