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 …

Edge computing task offloading for environmental perception of autonomous vehicles in 6G networks

P Lv, W Xu, J Nie, Y Yuan, C Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The most basic requirement for autonomous vehicles is accurate environmental perception.
However, the lack of onboard computing resources makes it difficult for such a vehicle to …

Task offloading of deep learning services for autonomous driving in mobile edge computing

J Jang, K Tulkinbekov, DH Kim - Electronics, 2023 - mdpi.com
As the utilization of complex and heavy applications increases in autonomous driving,
research on using mobile edge computing and task offloading for autonomous driving is …

Optimization of mobile edge computing offloading model for distributed wireless sensor devices

S Han, D Ma, C Kang, W Huang, C Lin… - Journal of …, 2022 - Wiley Online Library
The development and popularization of mobile Internet and wireless communication
technology have spawned a large number of computation‐intensive and delay‐intensive …

Improved efficiency management strategy for battery-based energy storage systems

E Arnieri, L Boccia, F Amoroso, G Amendola… - Electronics, 2019 - mdpi.com
Battery-based energy storage systems are forecasted to have a rapid diffusion in the next
future, because they can support the diffusion of renewable energy sources and can offer …

Optimization algorithm of wireless surveillance data transmission task based on edge computing

P Liu, S Lyu, S Ma, W Wang - Computer Communications, 2021 - Elsevier
Cloud computing and edge computing have potent capabilities and value, and the
combination of edge computing and wireless transmission has become a research hotspot …

Design of Auto-assisted Autopilot System Based on Machine Learning Algorithm and Computer Vision

M Li - … International Conference on Computer Simulation and …, 2023 - ieeexplore.ieee.org
As human society enters the era of interconnection and intelligence, the rapid growth of the
automotive industry has made intelligent driving technology a new industry focus. At a …

Multiagent Reinforcement Learning-Based Multimodel Running Latency Optimization in Vehicular Edge Computing Paradigm

P Li, Z Xiao, X Wang, M Iqbal… - IEEE Systems …, 2024 - ieeexplore.ieee.org
With the advancement of edge computing, more and more intelligent applications are being
deployed at the edge in proximity to end devices to provide in-vehicle services. However …

TOS-LRPLM: a task value-aware offloading scheme in IoT edge computing system

J Sun, H Wang, G Feng, H Lv, J Liu, Z Gao - Cluster Computing, 2023 - Springer
Maximizing the utility of large-scale Internet of Things (IoT) is an important issue in practice.
In this paper, we attempt to improve the performance of IoT edge computing system (IoT …

SARS: A Resource Selection Algorithm for Autonomous Driving Tasks in Heterogeneous Mobile Edge Computing

R Zakerian, H Gholami - arXiv preprint arXiv:2411.15989, 2024 - arxiv.org
With the rapid advancement of devices requiring intensive computation, such as Internet of
Things (IoT) devices, smart sensors, and wearable technology, the computational demands …