Explanations in autonomous driving: A survey

D Omeiza, H Webb, M Jirotka… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

Towards accountability: Providing intelligible explanations in autonomous driving

D Omeiza, H Web, M Jirotka… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Explaining deep learning-based driver models

MPS Lorente, EM Lopez, LA Florez, AL Espino… - Applied Sciences, 2021 - mdpi.com
Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …

Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - arXiv preprint arXiv …, 2021 - arxiv.org
Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

Explainability of deep vision-based autonomous driving systems: Review and challenges

É Zablocki, H Ben-Younes, P Pérez, M Cord - International Journal of …, 2022 - Springer
This survey reviews explainability methods for vision-based self-driving systems trained with
behavior cloning. The concept of explainability has several facets and the need for …

What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles

G Kim, D Yeo, T Jo, D Rus, SJ Kim - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
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 …

“I'd like an Explanation for That!” Exploring Reactions to Unexpected Autonomous Driving

G Wiegand, M Eiband, M Haubelt… - … Conference on Human …, 2020 - dl.acm.org
Autonomous vehicles are complex systems that may behave in unexpected ways. From the
drivers' perspective, this can cause stress and lower trust and acceptance of autonomous …

Explainable artificial intelligence (XAI): An engineering perspective

F Hussain, R Hussain, E Hossain - arXiv preprint arXiv:2101.03613, 2021 - arxiv.org
The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm
for using Artificial Intelligence (AI) technologies in almost every domain; however, the …

Trustworthy artificial intelligence requirements in the autonomous driving domain

D Fernandez-Llorca, E Gómez - Computer, 2023 - ieeexplore.ieee.org
Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain Page 1
COVER FEATURE TRUSTWORTHY AI—PART I COMPUTER PUBLISHED BY THE IEEE …

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

J Dong, S Chen, M Miralinaghi, T Chen, P Li… - … research part C …, 2023 - Elsevier
User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …