Object and situation assessment are crucial components of many advanced driver
assistance systems (ADASs). Current object assessment algorithms usually provide a …

Tracking and situation assessment are crucial components of many Advanced Driver
Assistance Systems (ADASs). Current tracking algorithms usually provide a probabilistic …

Lane change and merging maneuvers are accounting for a significant share of critical
accidents in road traffic. Thus, advanced driver assistance systems giving support during …

Current research on advanced driver-assistance systems (ADASs) addresses the concept of
highly automated driving to further increase traffic safety and comfort. In such systems …

A primary challenge of automated driving systems is the task of a situation assessment. This
paper presents a high-level data fusion based probabilistic situation assessment method …

One of the major challenges in advanced driver assistance systems is the interpretation of
available environment information. It is the foundation for system activation strategies and …

In order to offer even more sophisticated functionality, future driver assistance systems need
the ability to robustly recognize and understand driving situations. Especially in inner-city …

This paper presents a filter that is able to simultaneously estimate the behaviors of traffic
participants and anticipate their future trajectories. This is achieved by recognizing the type …

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 …

Modern vehicles embed an increasing number of Advanced Driving Assistance Systems
(ADAS). Whilst such systems showed their capability to improve comfort and safety, most of …