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 …

[HTML][HTML] Cooperative perception technology of autonomous driving in the internet of vehicles environment: A review

G Cui, W Zhang, Y Xiao, L Yao, Z Fang - Sensors, 2022 - mdpi.com
Cooperative perception, as a critical technology of intelligent connected vehicles, aims to
use wireless communication technology to interact and fuse environmental information …

面向自动驾驶的边缘计算技术研究综述

吕品, 许嘉, 李陶深, 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 …

HPCR-VI: Heterogeneous point cloud registration for vehicle-infrastructure collaboration

Y Zhao, X Zhang, S Zhang, S Qiu… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
The perceptual information acquired by a single vehicle-side LiDAR in autonomous driving
is limited, and this phenomenon is more prominent at intersections where vehicles are …

[HTML][HTML] A method of vehicle networking environment information sharing based on distributed fountain code

J Liu, X Wang, H Zhai, S Li, X Cui, Q Zhang - International Journal of …, 2024 - Elsevier
The exchange of perceptual information between autonomous vehicles could significantly
improve driving safety. In general, obtaining more information means driving more safely …

Optimization of User Service Rate with Image Compression in Edge Computing-Based Vehicular Networks

L Zhang, J Li, W Guan, X Lian - Mathematics, 2024 - mdpi.com
The prevalence of intelligent transportation systems in alleviating traffic congestion and
reducing the number of traffic accidents has risen in recent years owing to the rapid …

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 …

An integrated framework of autonomous vehicles based on distributed potential field in bev

Q Zhang, L Qian, L Liu, L Ding… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper presents an integrated framework of decision-making and motion planning for
autonomous vehicles (AV) based on real-time trajectory prediction and distributed potential …

A Novel Fusion Perception Method of Unmanned Driving Based on Distributed Roadside Information

Q Zhang, L Qian, L Liu, L Ding… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Multi-sensor fusion, tracking, and prediction have a long history in signal processing, control
theory, and robotics. This paper proposes a trajectory tracking method based on distributed …

Survey on edge computing technology for autonomous driving.

LYU Pin, XU Jia, LI Taoshen… - Journal on …, 2021 - search.ebscohost.com
Edge computing plays an extremely important role in the environment perception and data
processing of autonomous driving. Autonomous driving vehicles can expand their …