In the context of autonomous driving and road situation awareness, this manuscript
introduces a Bayesian network that enables the prediction of participant vehicles (PVs) …

Vehicle-to-vehicle communication is a solution to improve the quality of on-road traveling in
terms of throughput, safety, efficiency and comfort. However, road users that do not …

Most state-of-the-art works in trajectory forecasting for automotive target predicting the pose
and orientation of the agents in the scene. This represents a particularly useful problem, for …

Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make
safe and socially compliant decisions in advance, thus improving the safety and comfort of …

Autonomous vehicle technologies have evolved quickly over the last few years, with safety
being one of the key requirements for their full deployment. However, ensuring their safety …

Vehicle trajectory prediction is an important decision-making and planning basis for
autonomous driving systems that enables them to drive safely and efficiently. To accurately …

Vehicle behavior prediction in complex urban scenarios with traffic signals and interactive
agents is an important yet complicated task for autonomous vehicles (AVs). In this work, a …

Already today, driver assistance systems help to make daily traffic more comfortable and
safer. However, there are still situations that are quite rare but are hard to handle at the …

Automated vehicles require a comprehensive understanding of the current traffic situation
and their future evolution to perform safe and comfortable actions. To enable reliable long …

Understanding the behavior of road users is of vital importance for the development of
trajectory prediction systems. In this context, the latest advances have focused on recurrent …