Car-following is the most general behavior in highway driving. It is crucial to recognize the
cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this …

Interactive driving is challenging but essential for autonomous cars in dense traffic or urban
areas. Proper interaction requires understanding and prediction of future trajectories of all …

The increasing use of autonomous systems (AS) aims to improve efficiency, costs, and
safety of numerous operations. Yet, they also pose several safety challenges. Most of AS will …

This paper proposes a method for modeling human driver interactions that relies on multi-
output gaussian processes. The proposed method is developed as a refinement of the game …

Driver's driving style has a great impact on lane changing behavior, especially in scenarios
such as freeway on-ramps that contain a strong willingness to change lanes, both in terms of …

Decision-making plays a critical role in autonomous driving, connecting the upstream
perception task and the downstream planning task. The interaction among vehicles and the …

In the foreseeable future, autonomous vehicles will have to drive alongside human drivers.
In the absence of vehicle-to-vehicle communication, they will have to be able to predict the …

Im Straßenverkehr wenden menschliche Fahrer kooperative Verhaltensweisen an, um
Konflikte zu lösen, die zB an Einfädelspuren entstehen. Übernehmen automatisierte …

In the foreseeable future, autonomous vehicles will have to drive alongside human drivers.
In the absence of vehicle-to-vehicle communication, they will have to be able to predict the …

As autonomous driving vehicles are being tested on public roads, they will share the road
with human-driven vehicles. It becomes important for autonomous driving vehicles to …