Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain

A Biswas, HC Wang - Sensors, 2023 - mdpi.com
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

Holistic network virtualization and pervasive network intelligence for 6G

X Shen, J Gao, W Wu, M Li, C Zhou… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y **ng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Perception task offloading with collaborative computation for autonomous driving

Z **ao, J Shu, H Jiang, G Min… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y **ng, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

AI-native network slicing for 6G networks

W Wu, C Zhou, M Li, H Wu, H Zhou… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …

Memristor-based adaptive neuromorphic perception in unstructured environments

S Wang, S Gao, C Tang, E Occhipinti, C Li… - Nature …, 2024 - nature.com
Efficient operation of control systems in robotics or autonomous driving targeting real-world
navigation scenarios requires perception methods that allow them to understand and adapt …

Edge computing for autonomous driving: Opportunities and challenges

S Liu, L Liu, J Tang, B Yu, Y Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices

YH Chen, TJ Yang, J Emer… - IEEE Journal on Emerging …, 2019 - ieeexplore.ieee.org
A recent trend in deep neural network (DNN) development is to extend the reach of deep
learning applications to platforms that are more resource and energy-constrained, eg …

Mobile edge intelligence and computing for the internet of vehicles

J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …