[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Voronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning

J Hu, H Niu, J Carrasco, B Lennox… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous exploration is an important application of multi-vehicle systems, where a team
of networked robots are coordinated to explore an unknown environment collaboratively …

A taxonomy of blockchain envisioned edge‐as‐a‐connected autonomous vehicles

R Gupta, A Kumari, S Tanwar - Transactions on Emerging …, 2021 - Wiley Online Library
In the past few decades, Intelligent Transport System (ITS) has gained the popularity in
smart society. Global automotive stakeholders such as Google, Uber, and Toshiba are the …

Bio-inspired collision avoidance in swarm systems via deep reinforcement learning

S Na, H Niu, B Lennox, F Arvin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous vehicles have been highlighted as a major growth area for future transportation
systems and the deployment of large numbers of these vehicles is expected when safety …

Learning-based path planning and predictive control for autonomous vehicles with low-cost positioning

Z Qi, T Wang, J Chen, D Narang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Navigation algorithms for autonomous vehicles have become the subject of increasing
interest, but most of them heavily rely on expensive high-precision positioning equipment …

Intelligent cooperative collision avoidance at overtaking and lane changing maneuver in 6G-V2X communications

SB Prathiba, G Raja, N Kumar - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid growth in Autonomous Vehicle (AV) technology endeavors increased attention
towards road safety in recent days. Particularly, a higher number of road accidents occurs …

Cooperative object transportation using curriculum-based deep reinforcement learning

G Eoh, TH Park - Sensors, 2021 - mdpi.com
This paper presents a cooperative object transportation technique using deep reinforcement
learning (DRL) based on curricula. Previous studies on object transportation highly …

A cluster-based V2V approach for mixed data dissemination in urban scenario of IoVs

S Wang, G Chen, Y Jiang, X You - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Data dissemination in Internet of Vehicles (IoVs) is attracting more and more attention.
However, few efforts have been made on mixed data dissemination in urban scenario. The …

Cooperative critical turning point-based decision-making and planning for CAVH intersection management system

S Li, K Shu, Y Zhou, D Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The intersection is a critical traffic problem from the perspective of safety and traffic
efficiency. As wireless communication technology advances, vehicle infrastructure …

Cooperative driving: A comprehensive perspective, the role of communications, and its potential development

RL Cigno, M Segata - Computer Communications, 2022 - Elsevier
Inter-vehicle communications may have many reasons to be, but improving road safety and
efficiency is arguably the only reason that may differentiate them from other communication …