Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …

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 …

This work presents a novel method for predicting vehicle trajectories in highway scenarios
using efficient bird's eye view representations and convolutional neural networks. Vehicle …

Conventional vehicles are certified through classical approaches, where different physical
certification tests are set up on test tracks to assess the required safety levels. These …

Accurate prediction of the future trajectories of surrounding agents is essential for safely
autonomous vehicles. However, it is quite challenging due to the dynamics of driving …

The accurate prediction of road user behaviour is of paramount importance for the design
and implementation of effective trajectory prediction systems. Advances in this domain have …

Vehicle trajectory prediction is a crucial task in the field of intelligent transportation systems,
with applications in traffic management, autonomous driving, and advanced driver …

In order to navigate through different scenarios safely and efficiently, self-driving vehicles
must predict future trajectories of other vehicles, which is a challenging task due to the …

This work presents a novel method for predicting vehicle trajectories in highway scenarios
using efficient bird's eye view representations and convolutional neural networks. Vehicle …