Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …

With the objective to improve road safety, the automotive industry is moving toward more
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

Effective navigation of urban environments is a primary challenge remaining in the
development of autonomous vehicles. Intersections come in many shapes and forms …

This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …

This study aimed to explore how autonomous vehicles can predict potential risks and
efficiently pass through the dangerous interaction areas in the face of occluded scenes or …

Anticipating possible behaviors of traffic participants is an essential capability of
autonomous vehicles. Many behavior detection and maneuver recognition methods only …