One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …

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 …

Today, one of the major challenges that autonomous vehicles are facing is the ability to drive
in urban environments. Such a task requires communication between autonomous vehicles …

Autonomous vehicles carry the potential to greatly improve mobility and safety in traffic.
However, this technology has to be accepted and of value for the intended users. One …

Purpose Extant literature in Video on Demand (VoD) has taken the consumer perspective;
however, the stakeholder perspective is largely neglected. This paper aims to fill this gap by …

Monitoring and inferring socio-cognitive behaviors through crowd analysis can help us to
understand many processes. Be it people in crowded environments, road traffic or even a …

Advanced perception and path planning are at the core for any self-driving vehicle.
Autonomous vehicles need to understand the scene and intentions of other road users for …

The intelligent vehicle community has devoted considerable efforts to model driver behavior,
and in particular, to detect and overcome driver distraction in an effort to reduce accidents …

The problem of understanding socio-cognitive aspects of crowd behavior is a challenging
yet critical task particularly for human-computer interaction applications. This issue is …

Pedestrian tracking with a single motion model and a single cue cannot be robust against
combination of changes of target motion and appearance, caused by either static or dynamic …