The estimation of risk is a central cornerstone in the evaluation of traffic scene situations for
intelligent ADAS. This applies to all levels of functions ranging from simple advices and …

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 …

This paper addresses the problem of future behavior evaluation and planning for ADAS in
general traffic situations. Complex traffic situations require the estimation of future behavior …

In this paper, we compare three different model-based risk measures by evaluating their
stengths and weaknesses qualitatively and testing them quantitatively on a set of real …

This paper addresses the problem of future behavior evaluation and planning for upcoming
ADAS, especially for inner city traffic scenarios. Situations in inner city traffic scenarios are …

This work tackles the risk estimation problem from a new perspective: a framework is
proposed for reasoning about traffic situations and collision risk at a semantic level, while …

We propose a Bayesian trajectory prediction and criticality assessment system that allows to
reason about imminent collisions of a vehicle several seconds in advance. We first infer a …

The development of autonomous vehicles garnered an increasing amount of attention in
recent years. The interest for automotive industries is to produce safer and more user …

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 …

Risk estimation for the current traffic situation is crucial for safe autonomous driving systems.
The computation of risk estimates however is always uncertain, especially if the behavior of …