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

The prediction of pedestrian behavior is essential for automated driving in urban traffic and
has attracted increasing attention in the vehicle industry. This task is challenging because …

Predicting vulnerableroad user behavior is an essential prerequisite for deploying
Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

As the development of autonomous driving technology continues, pedestrian safety is
becoming an increasingly important issue. The ability of an autonomous car to accurately …

For the autonomous driving system, accurately recognizing the actions of different roles in
the traffic scene is the prerequisite for realizing this kind of human-vehicle information …

Anticipating pedestrian crossing behavior in urban scenarios is a challenging task for
autonomous vehicles. Early this year, a benchmark comprising JAAD and PIE datasets have …

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 …

Accurate pedestrian intention prediction (PIP) by Autonomous Vehicles (AVs) is one of the
current research challenges in this field. In this article, we introduce PIP-Net, a novel …

Safe interaction with pedestrians is important for autonomous vehicles in urban
environments. Comprehensive understanding of pedestrian behavior is a challenge for …