Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

Objective The aim of this paper was to synthesize the experimental research on factors that
affect takeover performance during conditionally automated driving. Background For …

In-vehicle infotainment systems can increase cognitive load and impair driving performance.
These effects can be alleviated through interfaces that can assess cognitive load and adapt …

Trust in automation is crucial for the safe and appropriate adoption of automated driving
technology. Current research methods to measure trust mainly rely on subjective scales …

Driver inattention is among major contributing factors to traffic accidents. There have been
and continue to be efforts by governing bodies, car manufacturers, and researchers to …

Several ongoing research projects in Human autonomous car interactions are addressing
the problem of safe co-existence for human and robot drivers on road. Automation in cars …

This paper presents a preliminary study of the use of Virtual Reality for the simulation of a
particular driving task: the control recovery of a semi-autonomous vehicle by a driver …

Motor vehicle crashes (MVCs) are a leading cause of death for law enforcement officers
(LEOs) in the US LEOs and more specifically novice LEOs (nLEOs) are susceptible to high …

Autonomous vehicle system performance is limited by uncertainties inherent in the driving
environment and challenges in processing sensor data. Engineers thus face the design …

With the recent advances in Internet and mobile technologies and infrastructures, there are
increasing demands for ubiquitous access to tourist information systems for service …