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 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 …

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 …

Separably developed functionality as well as increasing situation complexity poses
problems for building, testing, and validating future Advanced Driving Assistance Systems …

The Intelligent Driver Model (IDM) is a microscopic, time continuous car following model for
the simulation of freeway and urban traffic. Its popularity is grounded in its simplicity and its …

Vehicles will be equipped with sensors and functions for highly automated driving in the
foreseeable future. A big topic of research on the way to this goal is how to convey to these …

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 …

Recently, automated driving has more and more been transformed from an exciting vision
into hands on reality by prototypes. While drivers are used to assistance and maybe even …

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 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 …