[HTML][HTML] Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects

M Sadaf, Z Iqbal, AR Javed, I Saba, M Krichen… - Technologies, 2023 - mdpi.com
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

[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 …

Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Z Xu, Y Zhang, E Xie, Z Zhao, Y Guo, KKY Wong… - arXiv preprint arXiv …, 2023 - arxiv.org
In the past decade, autonomous driving has experienced rapid development in both
academia and industry. However, its limited interpretability remains a significant unsolved …

[HTML][HTML] Compression of GNSS data with the aim of speeding up communication to autonomous vehicles

A Rakhmanov, Y Wiseman - Remote Sensing, 2023 - mdpi.com
Autonomous vehicles contain many sensors, enabling them to drive by themselves.
Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with …

[HTML][HTML] Deep learning and autonomous vehicles: Strategic themes, applications, and research agenda using SciMAT and content-centric analysis, a systematic …

FE Morooka, AM Junior, TFAC Sigahi, JS Pinto… - Machine Learning and …, 2023 - mdpi.com
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained
increasing interest from both researchers and companies. This has caused a rapid …

Ultra-sonic sensor based object detection for autonomous vehicles

T Nesti, S Boddana, B Yaman - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Perception systems in autonomous vehicles (AV) have made significant advancements in
recent years. Such systems leverage different sensing modalities such as cameras, LiDARs …

A comprehensive study on lane detecting autonomous car using computer vision

H Gajjar, S Sanyal, M Shah - Expert Systems with Applications, 2023 - Elsevier
Every day, humans make hundreds of decisions, most of which are based on information we
gather from our surroundings. The majority of this perception when it comes to driving is …

[HTML][HTML] Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

M Misaros, OP Stan, IC Donca, LC Miclea - Sensors, 2023 - mdpi.com
It has been almost half a century since the first interest in autonomous robots was shown,
and research is still continuing to improve their ability to make perfectly conscious decisions …

Federated learning-assisted distributed intrusion detection using mesh satellite nets for autonomous vehicle protection

M Al-Hawawreh, MS Hossain - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The widespread use of intelligent consumer electronics, specifically autonomous vehicles,
has exponentially increased. The key enablers of this pervasive are the Internet of Things …

The future of autonomous vehicles in the US urban landscape: a review: analyzing implications for traffic, urban planning, and the environment

OH Orieno, NL Ndubuisi, VI Ilojianya, PW Biu… - Engineering Science & …, 2024 - fepbl.com
This study presents a comprehensive analysis of the impact of autonomous vehicles (AVs)
on urban landscapes, focusing on traffic management, urban planning, and environmental …