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 …

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

The human driver is no longer the only one concerned with the complexity of the driving
scenarios. Autonomous vehicles (AV) are similarly becoming involved in the process …

The increase in car ownership has improved the convenience of people's travel, but it has
also increased the potential risk of pedestrian-vehicle conflicts. In complex traffic scenarios …

Predicting the crossing intention of pedestrian is an essential task for autonomous driving
systems. Whether or not a pedestrian will cross a crosswalk is a significantly inevitable skills …

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 …

Anticipating human motion is an essential requirement for autonomous vehicles and robots
in order to primary guarantee people's safety. In urban scenarios, they interact with humans …

Pedestrian crossing prediction has been a topic of active research, resulting in many new
algorithmic solutions. While measuring the overall progress of those solutions over time …

Prediction of road users' behaviors in the context of autonomous driving has gained
considerable attention by the scientific community in the last years. Most works focus on …

Autonomous robots that can perform common tasks like driving, surveillance, and chores
have the biggest potential for impact due to frequency of usage, and the biggest potential for …