Driver fatigue or drowsiness detection techniques can significantly enhance road safety
measures and reduce traffic accidents. These approaches used different sensor …

Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …

The use of video surveillance systems has increased due to security concerns and their
relatively low cost. Researchers are working to create intelligent Closed Circuit Television …

Automating identification of benthic habitats from imagery, with Machine Learning (ML), is
necessary to contribute efficiently and effectively to marine spatial planning. A promising …

Emotion recognition is vital in understanding human behavior and improving the driving
experience. We present a systematic analysis of automatic detection of driver's facial …

Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus
encouraging the search for solutions. The promising proposal of autonomous vehicles …

Currently, most fatigue driving detection methods rely on complex neural networks whose
feasibility in hardware implementation needs to be further improved. This paper proposes an …

Anomaly detection in videos is challenging due to the complexity, noise, and diverse nature
of activities such as violence, shoplifting, and vandalism. While deep learning (DL) has …

Holding the steering wheel with both hands is essential for safe driving. This article
proposes a novel approach using only one off-the-shelf smartwatch to determine whether …