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 …

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 …

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

Growing interest in Cooperative Driving within the field of Intelligent Transport Systems (ITS)
put forth novel concepts for both enhanced sensing and advanced solution making …

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 …

Collision avoidance is a fundamental problem in navigation. In this paper, we present a
novel method of cooperative movement planning to examine how two vehicles can …

Cooperative driving technology with intervehicle communication attracts increasing interests
in the last decade. Under cooperative driving guidance, motion of individual vehicles can be …

Traffic safety is a key aspect in new-generation intelligent transportation systems. Among
other areas, an active field of research is cooperative collision avoidance, where vehicles …

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

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 …