Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …

Given the uncertainty surrounding how existing explainability methods for autonomous
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …

The development of Autonomous Vehicle (AV) has created a novel job, the safety driver,
recruited from experienced drivers to supervise and operate AV in numerous driving …

Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

The development of autonomous agents which can interact with other agents to accomplish
a given task is a core area of research in artificial intelligence and machine learning …

We present CEMA: Causal Explanations in Multi-Agent systems; a framework for creating
causal natural language explanations of an agent's decisions in dynamic sequential multi …

(AI) and Machine Learning (ML) are set to revolutionize all industries, Intelligent
Transportation Systems (ITS) field is no exception. However, being a safety-critical system …

The development of intelligent driving systems has drawn significant attention to enhancing
the safety of autonomous vehicles and their intended functionality. Despite this, current …

The European Union has proposed the Artificial Intelligence Act which introduces a
proportional risk-based approach to AI regulation including detailed requirements for …

Autonomous systems fulfil an increasingly important role in our societies, however, AI-
powered systems have seen less success over the years, as they are expected to tackle a …