This paper gives an overview of the ten-year development of the papers presented at the
International ACM Conference on Automotive User Interfaces and Interactive Vehicular …

Driver fatigue and stress significantly contribute to higher number of car accidents
worldwide. Although, different detection approaches have been already commercialized and …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

In driver monitoring various data types are collected from drivers and used for interpreting,
modeling, and predicting driver behavior, and designing interactions. Aim of this contribution …

The growth of Internet-connected devices, Internet-enabled services and Internet of Things
systems continues at a rapid pace, and their application to transport systems is heralded as …

Useful information has been extracted from the road accident data in United Kingdom (UK),
using data analytics method, for avoiding possible accidents in rural and urban areas. This …

Driver monitoring may become a standard safety feature to discourage distraction in
vehicles with or without automated driving functions. Research to date has focused on …

This paper aims to develop a driver-state estimation algorithm based on multi-modal
information for various age and gender groups. A test bed was built under a simulated …

Advanced Driving Assistant System (ADAS) was developed to reduce hazard on road, as
drivers tend to get distracted from non-driving tasks. Researchers widely acknowledge that …