This paper aims to quantitatively assess the geometric design of road and roadside
infrastructure for Autonomous Vehicles (AVs) using point cloud data while addressing the …

Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

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

Navigating safely through occlusion scenarios remains challenging for Autonomous
Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating …

This abstract discusses the significant progress made in autonomous vehicles, focusing on
decision‐making systems and control algorithms. It explores recent advances, challenges …

Safe driving requires autonomous vehicles to anticipate potential hidden traffic participants
and other unseen objects, such as a cyclist hidden behind a large vehicle, or an object on …

Driving autonomous vehicles safely through a complex urban environment remains a
difficult task. The sensor limitations, as well as the various occlusions in the urban …

Uncontrolled intersections with interaction and uncertainties are challenging for autonomous
vehicles (AV) to manage. In this work, we propose a decision-making model specific to …

As the operational domain of autonomous vehicles expands, encountering occlusions
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …