Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …

Automated vehicles (AVs) are able to detect pedestrians reliably but still have difficulty in
predicting pedestrians' intentions from their implicit body language. This study examined the …

We introduce ViLPAct, a novel vision-language benchmark for human activity planning. It is
designed for a task where embodied AI agents can reason and forecast future actions of …

External Human-Machine Interfaces (eHMI) enable interaction between vehicles and
Vulnerable Road Users (VRU), for example, to warn VRUs of the car's presence. Warning …

How can autonomous vehicles offer safer behavior by accounting for social information?
Social information includes not only information about the number of pedestrians, but also …

Balancing safety and efficiency when navigating in dense traffic remains an open challenge
in autonomous driving. Safety envelopes restrict the allowed planning region and yield …

The masters thesis aims to determine a method to understand which road segments could
pose safety risks or where Level 4 autonomous vehicles would operate poorly in the …

This article is devoted to the issue of creating the concept of an automated system for
simulating pedestrians on the road surface, intended for testing unmanned vehicles and …