A tree search algorithm is proposed for planning cooperative motions of multiple vehicles.
The method relies on planning techniques from artificial intelligence such as A* search and …

Automated cooperative collision avoidance of multiple vehicles is a promising approach to
increase road safety in the future. This approach requires a real-time motion planner which …

Automated cooperative maneuvers could help to avoid or mitigate accidents in road traffic.
This report presents a tree search approach for cooperative motion planning. Different …

Human drivers use nonverbal communication and anticipation of other drivers' actions to
master conflicts occurring in everyday driving situations. Without a high penetration of …

Automated driving with human-like driving behavior requires the capability of cooperative
decision making. In this paper, we present a novel method of cooperative decision making in …

Future automated vehicles must conquer the challenge of anticipating the intentions of other
traffic participants in order to ensure the safety and efficiency of road traffic. Therefore, the …

Cooperation as a problem-solving strategy is widely used to build methods addressing
complex hard optimization problems. It involves a set of highly autonomous programs …

It is shown how to model a cooperative path planning system for multiple autonomous air
vehicles within the framework of a stochastic (dynamic programming) decision process. The …

In this paper, we propose a collision avoidance algorithm for multi-vehicle systems, which is
a common problem in many areas, including navigation and robotics. In dynamic …

In this paper, we propose a new cooperative driving strategy for connected and automated
vehicles (CAVs) at unsignalized intersections. Based on the tree representation of the …