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 …

In this paper, a state-constrained optimal solution based real-time vehicle path planning
strategy, which aids the vehicle to avoid collision by the lane change maneuver, is …

Pliable microfibrous, bioresorbable elastomeric heart valve prostheses are investigated in
search of sustainable heart valve replacement. These cell-free implants recruit cells and …

According to SAE levels of automation, for systems below Level 3, the fallback roles are
human drivers, therefore the automated driving system (ADS) can assume that, when an …

Accurate localization for autonomous vehicle operations is essential in dense urban areas.
In order to ensure safety, positioning algorithms should implement fault detection and …

Presently, in the event of a failure in Automated Driving Systems, control architectures rely
on hardware redundancies over software solutions to assure reliability or wait for human …

This paper proposes a decision-making algorithm based on deep reinforcement learning to
support fallback techniques in autonomous vehicles. The fallback technique attempts to …

Purpose-Automated driving systems (ADSs) are being developed to avoid human error and
improve driving safety. However, limited focus has been given to the fallback behavior of …

We have yet to see wide deployment of automated driving systems (ADSs) on public roads.
One of the reasons is the challenge of ensuring the systems' safety. The operational design …

During the last decade, there has been significant increase in research focused on
automated vehicles (AVs) and ensuring safe operation of these vehicles. However …