Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving

Y Hui, X Ma, Z Su, N Cheng, Z Yin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …

Digital twin-assisted cooperative driving at non-signalized intersections

Z Wang, K Han, P Tiwari - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Digital Twin, as an emerging technology related to Cyber-Physical Systems (CPS) and
Internet of Things (IoT), has attracted increasing attentions during the past decade …

Distributed task allocation to enable collaborative autonomous driving with network softwarization

Z Su, Y Hui, TH Luan - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
The autonomous vehicles (AVs), like that in knight rider, were completely a scientific fiction
just a few years ago, but are now already practical with real-world commercial deployments …

Software-defined cooperative data sharing in edge computing assisted 5G-VANET

G Luo, H Zhou, N Cheng, Q Yuan, J Li… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
It is widely recognized that connected vehicles have the potential to further improve the road
safety, transportation intelligence and enhance the in-vehicle entertainment. By leveraging …

Collaborative autonomous driving: Vision and challenges

Z Dong, W Shi, G Tong, K Yang - 2020 international conference …, 2020 - ieeexplore.ieee.org
This paper discusses challenges in computer systems research posed by the emerging
autonomous driving systems. We first identify four research areas related to autonomous …

Collaborative offloading method for digital twin empowered cloud edge computing on Internet of Vehicles

L Gu, M Cui, L Xu, X Xu - Tsinghua Science and Technology, 2022 - ieeexplore.ieee.org
Digital twinning and edge computing are attractive solutions to support computing-intensive
and service-sensitive Internet of Vehicles applications. Most of the existing Internet of …

Cooperative computation offloading in blockchain-based vehicular edge computing networks

P Lang, D Tian, X Duan, J Zhou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …

Dynamic resource allocation for jointing vehicle-edge deep neural network inference

Q Wang, Z Li, K Nai, Y Chen, M Wen - Journal of Systems Architecture, 2021 - Elsevier
The emergence of mobile edge computing provides an efficient and stable computing
platform for intelligent applications of autonomous vehicles, and deep neural network (DNN) …

Federated-learning-empowered collaborative data sharing for vehicular edge networks

X Li, L Cheng, C Sun, KY Lam, X Wang, F Li - IEEE network, 2021 - ieeexplore.ieee.org
The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …

Deep-learning-based intelligent intervehicle distance control for 6G-enabled cooperative autonomous driving

X Chen, S Leng, J He, L Zhou - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Research on the sixth-generation cellular networks (6G) is gaining huge momentum to
achieve ubiquitous wireless connectivity. Connected autonomous vehicles (CAVs) is a …