In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …

Edge computing in vehicles is emerging as an essential candidate for the Internet of
Vehicles (IoV) to improve traffic efficiency. The proliferation of IoV pushes the horizon of …

Internet of vehicles is a promising area related to D2D communication and the Internet of
Things. We present a novel perspective on vehicular communications and social vehicle …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …

This paper works on smart transportation strategy for emergency autonomous and normal
autonomous vehicles under the vehicle-to-every-things circumstance. All vehicles are fully …

Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

Connected automated vehicles (CAVs) have been currently considered as promising
solutions for realization of envisioned autonomous traffic management systems in the future …

Automated driving systems need to perform according to what human drivers expect in every
situation. A different behavior can be wrongly interpreted by other human drivers and cause …

Accurate behavior prediction of other vehicles in the surroundings is critical for intelligent
transportation systems. Common practices to reason about the future trajectory are through …