A review of trustworthy and explainable artificial intelligence (xai)

V Chamola, V Hassija, AR Sulthana, D Ghosh… - IEEe …, 2023 - ieeexplore.ieee.org
The advancement of Artificial Intelligence (AI) technology has accelerated the development
of several systems that are elicited from it. This boom has made the systems vulnerable to …

Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Autonomous vehicles on the edge: A survey on autonomous vehicle racing

J Betz, H Zheng, A Liniger, U Rosolia… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are develo** software and hardware for …

Enabling massive IoT toward 6G: A comprehensive survey

F Guo, FR Yu, H Zhang, X Li, H Ji… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …

[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review

P Stano, U Montanaro, D Tavernini, M Tufo… - Annual reviews in …, 2023 - Elsevier
Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

[HTML][HTML] Implications of automated vehicles for physical road environment: A comprehensive review

O Tengilimoglu, O Carsten, Z Wadud - Transportation research part E …, 2023 - Elsevier
Automated vehicles (AVs) have received intense attention in academia and industry around
the world in recent years, but the imminent introduction of AVs brings new challenges and …

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

S Atakishiyev, M Salameh, H Yao, R Goebel - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

A survey of deep learning techniques for autonomous driving

S Grigorescu, B Trasnea, T Cocias… - Journal of field …, 2020 - Wiley Online Library
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

Deep learning sensor fusion for autonomous vehicle perception and localization: A review

J Fayyad, MA Jaradat, D Gruyer, H Najjaran - Sensors, 2020 - mdpi.com
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Lasermix for semi-supervised lidar semantic segmentation

L Kong, J Ren, L Pan, Z Liu - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Densely annotating LiDAR point clouds is costly, which often restrains the scalability of fully-
supervised learning methods. In this work, we study the underexplored semi-supervised …