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

Autonomous vehicles promise to revolutionize society and improve the daily life of many,
making them a coveted aim for a vast research community. To enable complex reasoning in …

Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

As machine learning becomes increasingly integral to autonomous decision-making
processes involving human interaction, the necessity of comprehending the model's outputs …

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

Human factors play a huge role in road traffic safety. Research has found that a huge
proportion of traffic crashes occur due to some form of human error. Improving road user …

This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous
Vehicles (AVs), examining the challenges introduced by AI components and the impact on …

Explanations in automated vehicles enhance passengers' understanding of vehicle decision-
making, mitigating negative experiences by increasing their sense of control. These …

The provision of natural language explanations for the predictions of deep-learning-based
vehicle controllers is critical as it enhances transparency and easy audit. In this work, a state …

Transparency in automated systems could be afforded through the provision of intelligible
explanations. While transparency is desirable, might it lead to catastrophic outcomes (such …