Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions

M Adil, H Song, MA Jan, MK Khan, X He… - ACM Computing …, 2024 - dl.acm.org
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …

Sustainable task offloading in UAV networks via multi-agent reinforcement learning

A Sacco, F Esposito, G Marchetto… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The recent growth of IoT devices, along with edge computing, has revealed many
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …

[HTML][HTML] Enhancing autonomous driving robot systems with edge computing and LDM platforms

J Moon, D Hong, J Kim, S Kim, S Woo, H Choi, C Moon - Electronics, 2024 - mdpi.com
The efficient operation and interaction of autonomous robots play crucial roles in various
fields, eg, security, environmental monitoring, and disaster response. For these purposes …

Edge-assisted lightweight region-of-interest extraction and transmission for vehicle perception

Y Cheng, P Yang, N Zhang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
To enhance on-road environmental perception for autonomous driving, accurate and real-
time analytics on high-resolution video frames generated from on-board cameras becomes …

Enabling autonomous and connected vehicles at the 5G network edge

E Coronado, G Cebrián-Márquez… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Connected and automated vehicles currently rely on on-board resources to implement
autonomous functions, leaving the mobile network for non-mission-critical applications. At …

Offloading autonomous vehicle machine learning algorithms to the 5G edge: A proof of concept implementation

V Boutin, A Hannart, A Essaidi… - 2021 IEEE 4th 5G World …, 2021 - ieeexplore.ieee.org
This paper investigates the effect of offloading machine learning autonomous vehicle
algorithms to the edge of 5G networks. It describes the implementation of a field test …

Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications: A Comparison

M Ferens, D Hortelano, I De Miguel… - 2022 International …, 2022 - ieeexplore.ieee.org
An observable trend in recent years is the increasing demand for more complex services
designed to be used with portable or automotive embedded devices. The problem is that …

Evaluation of 5g-nr v2n connectivity in a centralized cooperative lane change scenario

F Poli, NL Dinh, V Mannoni… - 2022 IEEE 95th Vehicular …, 2022 - ieeexplore.ieee.org
By means of system-level simulations, we analyze in this paper the performance of Vehicle-
to-Network (V2N) connectivity based on the 5th Generation-New Radio (5GNR) as a support …

面向自动驾驶的边缘计算技术研究综述

吕品, 许嘉, **陶深, 徐文彪 - 通信学报, 2021 - infocomm-journal.com
边缘计算在自动驾驶的环境感知和数据处理方面有着极其重要的应用. 自动驾驶汽车可以通过从
边缘节点获得环境信息来扩大自身的感知范围, 也可以向边缘节点卸载计算任务以解决计算资源 …