Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …

<? Pub Dtl=""?> With the development of new in-vehicle technology, drivers are exposed to
more sources of distraction, which can lead to an unintentional accident. Monitoring the …

This study explores the feasibility of detecting drivers' mirror-checking actions using
noninvasive sensors. Checking the mirrors is an important primary driving action that allows …

New challenges on transport systems are emerging due to the advances that the current
paradigm is experiencing. The breakthrough of the autonomous car brings concerns about …

Driving style (DS) classification and identification plays an increasingly important role in the
development of advanced driver assistance systems and automated vehicles. Both the …

Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as
well as improve driving and vehicle safety. This work proposes an intelligent neuro-fuzzy …

Driver Assistance Systems (DAS) have been progressively incorporated into commercial
vehicles in recent years. All these systems are paving the way for the forthcoming …

Ride comfort improvement in driving scenarios is gaining traction as a research topic. This
work presents a direct methodology that utilizes measured car signals and combines data …

Pollution that originates from automobiles is a concern in the current world, not only because
of global warming, but also due to the harmful effects on people's health and lives. Despite …

This chapter discusses research efforts focused on tracking driver distraction using
multimodal features. A car equipped with various sensors is used to collect a database with …