Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

Vehicle crash rates caused by distracted driving have been rising in recent years. Hence,
safety while driving on roads is today a crucial concern across the world. Some of the …

Train drivers' inattention, including fatigue and distraction, impairs their ability to drive and is
the major risk factor for human‐caused train accidents. Many experts have undertaken …

To exploit an image-based in-cabin monitoring system for driving behavior and in-vehicle
occupants detections to improve driving safety, in this paper, by installing a fisheye-lens …

One of the most significant problem in traffic accidents is distracted driving that causes a
higher number of deaths and injury every year. In recent times car manufacturing companies …

Existing deep learning based detectors are mostly designed for scenes with sparsely
distributed objects. However, in certain scenarios such as dense crowds, objects often …

Ambient Intelligence (AmI) encompasses technological infrastructures capable of sensing
data from environments and extracting high-level knowledge to detect or recognize users' …

Crashes caused by distracted driving result in more than 3000 deaths every year in the US
Distracted driver behavior detection is instrumental for driver assist systems. Researchers …

Aiming at the difficulty of recognising the smoking and making phone calls behaviours of
people in the complex background of construction sites, a method of recognising human …

In order to develop a non-contact driving behavior detection system for the improvement of
driving safety, in this study, the YOLO-based deep learning technology is utilized by setting …