This paper is concerned with the performance of different state representation on the vehicle
decision-making problem at unsignalized intersection based on deep reinforcement …

To avoid traffic congestion, the problem of path planning for intelligent connected vehicles
(ICVs) is studied in this paper. Exist a cloud computing center (CCC) that can get real-time …

Sensor scheduling is used to improve the sensing performance in the estimation of targets'
states. However, few papers are on the sensor scheduling for target detection with guiding …

Autonomous vehicle coordination is currently a focus in academic and industrial research,
that attempts to solve their maneuvering strategies in conflict situations (eg, lane merging) to …

Purpose This paper aims to introduce a new target tracking method based on risk theory in a
2-D discrete environment. After that, the related sensor scheduling method is proposed. This …

Over the past several decades, the development of technologies and the production of
autonomous vehicles have enhanced the need for intelligent intersection management …

Autonomous vehicles capture people's imagination, but the road to widespread deployment
of such vehicles has many challenges ahead. One challenge is the likely eventuality of …

Connected autonomous vehicles are an important class of cyber-physical systems that are
expected to have a major impact on society. Connectivity and autonomy in next-generation …