In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

Some of the first 'automated'vehicles to be deployed on our roads will require a system of
shared driving with a human driver. While this creates technical and operational challenges …

With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy
Autonomous Challenge are rapidly attracting growing attention. Researchers participating in …

The deployment of autonomous vehicles on public roads calls for the development of
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …

Reinforcement learning (RL) can be used to create a decision-making agent for autonomous
driving. However, previous approaches provide black-box solutions, which do not offer …

The paper proposes motion control strategies for automated road vehicles to handle
interactions among vehicles. The control strategies are built in a hierarchical structure, which …

Pliable microfibrous, bioresorbable elastomeric heart valve prostheses are investigated in
search of sustainable heart valve replacement. These cell-free implants recruit cells and …

In this paper, we tackle the problem of trajectory planning and control of a vehicle under
locally varying traction limitations, in the presence of suddenly appearing obstacles. We …

Automated vehicles and their operational range are getting better over time. Due to the
complexity of urban traffic, it might not be feasible for an automated vehicle to handle all …

The design of the motion of autonomous vehicles in non-signalized intersections with the
consideration of multiple criteria and safety constraints is a challenging problem with several …