In this paper, a major challenge in the field of trajectory planning for autonomous on-road
vehicles is addressed: to calculate trajectories efficiently and reliably. The proposed method …

This paper considers the problem of planning reference trajectories for cooperating
autonomous vehicles. Our previous work [1] relied on mixed-integer quadratic programming …

Cooperatively planning for multiple agents has been proposed as a promising method for
strategic and motion planning for automated vehicles. By taking into account the intent of …

This work presents a method for multi-robot coordination based on a novel distributed
nonlinear model predictive control (NMPC) formulation for trajectory optimization and its …

This work considers the problem of cooperative optimal trajectory generation for
autonomous driving. A distributed nonlinear model predictive control (NMPC) for each …

This paper considers the problem of cooperative trajectory planning for multiple,
communicating, automated vehicles in general non-hazardous on-road scenarios …

We propose a distributed trajectory generation method for connected autonomous vehicles.
It is integrated in an intersection crossing scenario where we assume a given vehicle order …

This paper considers computationally efficient planning of reference trajectories for
autonomous on-road vehicles in a cooperative setting. The basic element of the approach is …

A lane following and lane changing maneuver planning method for automated vehicles is
investigated, which is capable of evaluating and incorporating cooperative agreements …

This paper considers the problem of cooperative optimal trajectory generation for
autonomous driving involving a human driver vehicle (HDV) into the traffic scenario. A …