Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
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 …
the last two decades. There is increasing interest in the field as the deployment of …
A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions
The emergence of autonomous driving represents a pivotal milestone in the evolution of the
transportation system, integrating seamlessly into the daily lives of individuals due to its …
transportation system, integrating seamlessly into the daily lives of individuals due to its …
[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …
regarding explainability. Recent studies have discussed the emerging demand for …
Better together? an evaluation of ai-supported code translation
Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …
cases including translating code between programming languages, creating documentation …
What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles
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 …
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …
[HTML][HTML] An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
Advanced energy benchmarking in residential buildings, using data-driven modeling,
provides a fast, accurate, and systematic approach to assessing energy performance and …
provides a fast, accurate, and systematic approach to assessing energy performance and …
Human-vehicle interaction to support driver's situation awareness in automated vehicles: A systematic review
Autonomous driving will change the role of the driver. From being the main actor in driving,
the driver will now have a supervisory role during the autonomous driving phases. However …
the driver will now have a supervisory role during the autonomous driving phases. However …
Explaining autonomous driving actions with visual question answering
The end-to-end learning ability of self-driving vehicles has achieved significant milestones
over the last decade owing to rapid advances in deep learning and computer vision …
over the last decade owing to rapid advances in deep learning and computer vision …
A design space for human sensor and actuator focused in-vehicle interaction based on a systematic literature review
Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …
additional applications, and user demands. While in-vehicle interaction can utilize numerous …
Instrumentar: Auto-generation of augmented reality tutorials for operating digital instruments through recording embodied demonstration
Augmented Reality tutorials, which provide necessary context by directly superimposing
visual guidance on the physical referent, represent an effective way of scaffolding complex …
visual guidance on the physical referent, represent an effective way of scaffolding complex …