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 …

The capabilities of automated vehicles have increased over the last years, and different
driving strategies have shown promising results on a variety of scenarios. However, there …

Motion planning is a process of constant negotiation with the rest of the traffic agents and is
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …

Collaborative perception, which greatly enhances the sensing capability of connected and
autonomous vehicles (CAVs) by incorporating data from external resources, also brings forth …

LiDAR-basedframeworks combining dynamic occupancy grids and object-level tracking are
a popular approach for perception of the environment in autonomous driving applications …

Automated vehicles and vehicle-to-everything (V2X) communication open the window for
sharing of sensor data. This paper aims to provide a systematic view of the delay chain …

Roundabouts have many benefits when compared with traditional signal-controlled
intersections: improve safety, reduce delay, improve traffic flow, are less expensive, and …

Safe and adaptable motion planning for autonomous vehicles remains an open problem in
urban environments, where the variability of situations and behaviors may become …

In the vehicle pose estimation task based on roadside Lidar in cooperative perception, the
measurement distance, angle, and laser resolution directly affect the quality of the target …

The paper addresses the vehicle-to-X (V2X) data fusion for cooperative or collective
perception (CP). This emerging and promising intelligent transportation systems (ITS) …