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 …

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 …

XAI-AV: Explainable artificial intelligence for trust management in autonomous vehicles

H Mankodiya, MS Obaidat, R Gupta… - … and Informatics (CCCI …, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) is the most looked up technology with a diverse range of
applications across all the fields, whether it is intelligent transportation systems (ITS) …

[HTML][HTML] Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review

CI Nwakanma, LAC Ahakonye, JN Njoku… - Applied Sciences, 2023 - mdpi.com
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …

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 …

[HTML][HTML] Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions

A Giannaros, A Karras, L Theodorakopoulos… - … of Cybersecurity and …, 2023 - mdpi.com
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …

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 …

Explainable AI-based federated deep reinforcement learning for trusted autonomous driving

G Rjoub, J Bentahar, OA Wahab - 2022 International Wireless …, 2022 - ieeexplore.ieee.org
Recently, the concept of autonomous driving became prevalent in the domain of intelligent
transportation due to the promises of increased safety, traffic efficiency, fuel economy and …

A survey of intelligent transportation systems security: challenges and solutions

J Harvey, S Kumar - 2020 IEEE 6th Intl Conference on Big Data …, 2020 - ieeexplore.ieee.org
Incorporation of intelligence is becoming an increasingly important part of the transportation
system. Attacks on the transportation infrastructure have been limited, but as more vehicles …

[HTML][HTML] Towards Secure and Trustworthy Autonomous Vehicles: Leveraging Distributed Ledger Technology for Secure Communication and Exploring Explainable …

V Vemoori - Journal of Science & Technology, 2020 - thesciencebrigade.com
The autonomous vehicle (AV) revolution promises a paradigm shift in transportation, with the
potential to transform our roads into safer, more efficient, and potentially more …