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 …

Explainable Artificial Intelligence (XAI): connecting artificial decision-making and human trust in autonomous vehicles

AVS Madhav, AK Tyagi - Proceedings of Third International Conference on …, 2022 - Springer
Automated navigation technology has established itself as an integral facet of intelligent
transportation and smart city systems. Several international technological organizations …

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 …

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 …

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 …

To explain or not to explain: A study on the necessity of explanations for autonomous vehicles

Y Shen, S Jiang, Y Chen, KD Campbell - arXiv preprint arXiv:2006.11684, 2020 - arxiv.org
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 …

[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 …

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 …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …