The safe deployment of autonomous vehicles (AV s) in real world scenarios requires that AV
s are accountable. One way of ensuring accountability is through the provision of …

The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

Autonomous vehicles (AVs) have the potential to change the way we commute, travel, and
transport our goods. The deployment of AVs in society, however, requires that people …

Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad
interests from researchers. Recent studies have found that providing explanations for …

In commentary driving, drivers verbalise their observations, assessments and intentions. By
speaking out their thoughts, both learning and expert drivers are able to create a better …

Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

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

Driving in autonomous cars requires trust, especially in case of unexpected driving behavior
of the vehicle. This work evaluates mental models that experts and non-expert users have of …

Inscrutable AI systems are difficult to trust, especially if they operate in safety-critical settings
like autonomous driving. Therefore, there is a need to build transparent and queryable …

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 …