The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

Traffic situations with interacting participants pose difficulties for today's autonomous
vehicles to interpret situations and eventually achieve their own mission goal. Interactive …

Mixed-integer quadratic programs (MIQPs) are a versatile way of formulating vehicle
decision making (DM) and motion planning problems, where the prediction model is a …

We propose a tactical homotopy-aware decision-making framework for game-theoretic
motion planning in urban environments. We model urban driving as a generalized Nash …

In today's turbulent digital society, rivalries have unfolded for the user's attention, for his
actions, choices and for his opinion. Media, including social media, act as a space of …

One of the key challenges in developing autonomous vehicles is planning safe and efficient
trajectories in complex environments, such as intersections. This paper proposes an offline …

This thesis addresses behavior planning for autonomous vehicles in highly dense
scenarios, which are challenging because of the necessary interactions with other agents …

Balancing safety and efficiency when navigating in dense traffic remains an open challenge
in autonomous driving. Safety envelopes restrict the allowed planning region and yield …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …