Metaverse-enabled intelligence for open-terrain field vehicle fleets: Leveraging parallel intelligence and edge computing

Z Shuai, Z Hu, J Gai, Y Chen, J Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery,
and agricultural machinery, often encounter significantly more intricate scenarios and …

Edge intelligence empowered vehicular metaverse: Key design aspects and future directions

LU Khan, A Elhagry, M Guizani… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Emerging intelligent transportation system applications witnessed significantly different
requirements and performance metrics (eg, latency, reliability, and quality of experience). To …

Metaverse-driven drone edge intelligence in B5G: a conceptual framework for empowering CPSS

SH Alsamhi, A Hawbani, S Kumar… - … on systems, man …, 2023 - ieeexplore.ieee.org
The Metaverse is an emerging concept that aims to integrate the physical and virtual worlds,
creating a shared 3D virtual world where users can interact and immerse in new …

Cross-domain resource orchestration for the edge-computing-enabled smart road

Q Yuan, J Li, H Zhou, G Luo, T Lin, F Yang… - IEEE …, 2020 - ieeexplore.ieee.org
Intelligent driving plays a role in significantly improving the safety and efficiency of
transportation systems. As the onboard capabilities of perception, comprehension, and …

VistaGPT: Generative parallel transformers for vehicles with intelligent systems for transport automation

Y Tian, X Li, H Zhang, C Zhao, B Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Diverse transport demands have resulted in the wide existence of heterogeneous vehicle
automation systems. While these systems have demonstrated effectiveness, they also pose …

[HTML][HTML] Multi-USV Dynamic Navigation and Target Capture: A Guided Multi-Agent Reinforcement Learning Approach

S Nantogma, S Zhang, X Yu, X An, Y Xu - Electronics, 2023 - mdpi.com
Autonomous unmanned systems have become an attractive vehicle for a myriad of military
and civilian applications. This can be partly attributed to their ability to bring payloads for …

Deep reinforcement learning-based resource management for flexible mobile edge computing: Architectures, applications, and research issues

K Wang, L Wang, C Pan, H Ren - IEEE Vehicular Technology …, 2022 - ieeexplore.ieee.org
In this article, we introduce autonomous vehicle-assisted mobile edge computing (AV-MEC),
including unmanned ground vehicle (UGV)-and unmanned aerial vehicle (UAV)-assisted …

Ai-assisted edge caching for metaverse of connected and automated vehicles: Proposal, challenges, and future perspectives

B Mao, Y Liu, J Liu, N Kato - IEEE Vehicular Technology …, 2023 - ieeexplore.ieee.org
The upcoming metaverse will significantly promote the safety and efficiency of connected
and automated vehicles (CAVs) as well as intelligent transportation systems (ITSs) with …

Enabling autonomous unmanned aerial systems via edge computing

K Liu, S Chauhan, R Devaraj, S Shahi… - … on Service-Oriented …, 2019 - ieeexplore.ieee.org
Unmanned Aerial Systems (UASs) have continuously demonstrated incredible value
assisting with disasters such as wildfires and hurricanes. For example, UASs can help …

Edge intelligence in intelligent transportation systems: A survey

T Gong, L Zhu, FR Yu, T Tang - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …