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 …

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 …

Resource allocation for delay-sensitive vehicle-to-multi-edges (V2Es) communications in vehicular networks: A multi-agent deep reinforcement learning approach

J Wu, J Wang, Q Chen, Z Yuan, P Zhou… - … on Network Science …, 2021 - ieeexplore.ieee.org
The rapid development of internet of vehicles (IoV) has recently led to the emergence of
diverse intelligent vehicular applications such as automatic driving, auto navigation, and …

Communication challenges in infrastructure-vehicle cooperative autonomous driving: A field deployment perspective

S Liu, B Yu, J Tang, Y Zhu, X Liu - IEEE Wireless …, 2022 - ieeexplore.ieee.org
We have commercially deployed an infrastructure-vehicle cooperative autonomous driving
system and verified its superiority over on-vehicle only autonomous driving systems …

A roadmap of next-generation wireless technology for 6G-enabled vehicular networks

M Adhikari, A Hazra, VG Menon… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Ultra-reliable connectivity and delay-sensitive data transmission is the ever increasing
demand for the next generation transportation system. However, substantial network …

Driver's intention identification and risk evaluation at intersections in the Internet of vehicles

C Chen, L Liu, T Qiu, Z Ren, J Hu… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In recent years, the rapid improvement of sensor and wireless communication technologies
powerfully impels the development of advanced cooperative driving systems, generating the …

5G NR-V2X: Toward connected and cooperative autonomous driving

H Bagheri, M Noor-A-Rahim, Z Liu… - IEEE …, 2021 - ieeexplore.ieee.org
5G New Radio (NR) is touted as a pivotal enabling technology for the genuine realization of
connected and cooperative autonomous driving. Despite numerous research efforts in …

Federated-reinforcement-learning-enabled joint communication, sensing, and computing resources allocation in connected automated vehicles networks

Q Zhang, H Wen, Y Liu, S Chang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
For future connected automated vehicles (CAVs) networks, the joint optimization of
communication, sensing, and computing resources is crucial to guarantee the performance …

C-V2X supported automated driving

M Kutila, P Pyykonen, Q Huang, W Deng… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Automated driving is expected to improve road safety and traffic efficiency. Host vehicle
onboard sensing systems typically sense the environment up to 250 m ahead of the vehicle …

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran - Transportation Research Part …, 2021 - Elsevier
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …