Federated learning for connected and automated vehicles: A survey of existing approaches and challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
Driver behavior modeling toward autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
Digital twin enhanced federated reinforcement learning with lightweight knowledge distillation in mobile networks
The high-speed mobile networks offer great potentials to many future intelligent applications,
such as autonomous vehicles in smart transportation systems. Such networks provide the …
such as autonomous vehicles in smart transportation systems. Such networks provide the …
Drive as you speak: Enabling human-like interaction with large language models in autonomous vehicles
The future of autonomous vehicles lies in the convergence of human-centric design and
advanced AI capabilities. Autonomous vehicles of the future will not only transport …
advanced AI capabilities. Autonomous vehicles of the future will not only transport …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
[HTML][HTML] A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics
The introduction of digital twins is expected to fundamentally change the technology in
transportation systems, as they appear to be a compelling concept for monitoring the entire …
transportation systems, as they appear to be a compelling concept for monitoring the entire …
Digital twins from a networking perspective
Digital twin (DT) has attracted a lot of attention from both industry and academia since it was
proposed over a decade ago. A DT can be viewed as a virtual implementation of a real …
proposed over a decade ago. A DT can be viewed as a virtual implementation of a real …
Decentralized federated learning: A survey and perspective
Federated learning (FL) has been gaining attention for its ability to share knowledge while
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …
Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles
The fusion of human-centric design and artificial intelligence capabilities has opened up
new possibilities for next-generation autonomous vehicles that go beyond traditional …
new possibilities for next-generation autonomous vehicles that go beyond traditional …
[HTML][HTML] Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories
Digital factories are poised to achieve unseen levels of resiliency and flexibility, facing
increasingly demanding requirements by customers and market conditions. Digital twins are …
increasingly demanding requirements by customers and market conditions. Digital twins are …