Pedestrian safety has emerged recently as a public health challenge worldwide. People are
being physically harmed due to losing focus on their surroundings and putting safety at risk …

Artificial Intelligence has the tremendous potential to produce progress and innovation in
society. Designing AI for people has been expressed as essential for societal well-being and …

In develo** the highly useful technologies, knowledge from human factors and
ergonomics (HF/E) can be of great use, especially to designers charged with the difficult task …

In Level 3 automated vehicles, preparing drivers for take-over requests (TORs) on the head-
up display (HUD) requires their repeated attention. Visually salient HUD elements can …

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

Conditionally automated driving systems face two main safety challenges: the inability to
autonomously handle all situations the vehicle encounters, and the allowed inattention of …

Failures of the automated driving system (ADS) in automated vehicles (AVs) can damage
driver–ADS cooperation (eg, causing trust damage) and traffic safety. Researchers suggest …

Semantic segmentation of images is essential for many applications including autonomous
driving and modern DNNs now achieve high accuracy. Automotive systems are safety …

Autonomous vehicle systems and their users need to collaborate to navigate the driving
environment, particularly during an unstructured transition of control from automation, when …

One of the major challenges of user experience (UX) design in autonomous driving (AD) is
to investigate the emerging expectations and needs of future passengers. Working with …