In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out
maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must …

In highway scenarios, an alert human driver will typically anticipate early cut-in and cut-out
maneuvers of surrounding vehicles using only visual cues. An automated system must …

Advanced driver assistance and automated driving systems rely on risk estimation modules
to predict and avoid dangerous situations. Current methods use expensive sensor setups …

Knowing what the driver is doing inside a vehicle is essential information for all stages of
vehicle automation. For example it can be used for adaptive warning strategies in …

For the autonomous driving system, accurately recognizing the actions of different roles in
the traffic scene is the prerequisite for realizing this kind of human-vehicle information …

Situation understanding and interpretation are one of the essential features for automated
vehicles. To enable safe and comfortable driving, sensing the current situation is not …

One of the greatest challenges towards fully autonomous cars is the understanding of
complex and dynamic scenes. Such understanding is needed for planning of maneuvers …

Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition
of critical situations is one of the manifold opportunities provided by the current development …

Situation understanding is a key factor for future advanced driver assistance systems
(ADAS) to handle complex traffic situations. An important part is the prediction of future …

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …