This paper addresses the problem of risk assessment in dynamic traffic environments for
future behavior evaluation and planning. Risk assessment has to be driven from behavioral …

Mobile edge computing (MEC) is a forward-looking technology that provides services
through resources to meet the needs of cloud-edge Internet of Things (IoT) devices. It …

In Europe, 20% of road crashes occur at intersections. In recent years, evolving
communication technologies are making vehicle-to-vehicle and vehicle-to-infrastructure …

Collision Avoidance Systems need to perform scene analysis and risk assessment in order
to react conveniently. Based on the information provided by the perception system, scene …

Guaranteeing the safety of an autonomous vehicle (AV) is a challenging task, especially if
the perceived environment is highly uncertain and other road users deviate from their …

Continuous optimization based motion planners require deciding on a maneuver homotopy
before optimizing the trajectory. Under uncertainty, maneuver intentions of other participants …

The uncertainty of cyclists' movements has a significant impact on predicting the risk of
collisions between cyclists and vehicles. The purpose of this study was to provide a method …

Moving-objects detection is a critical ability for an autonomous vehicle. Facing the high
detection requirements and the slow target-extraction problem of a common camera, this …

Road accidents impose serious problems on society. Possible collisions between vehicles
and pedestrians must be detected before they occur so that a timely warning may be issued …

Prediction of surrounding vehicles accurately is an essential prerequisite for safe
autonomous driving. Trajectory prediction methods can be classified into physics …