Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

M Xu, D Niyato, J Kang, Z Xiong, A Jamalipour… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

GAI-IoV: Bridging Generative AI and Vehicular Networks for Ubiquitous Edge Intelligence

G Xie, Z Xiong, X Zhang, R Xie, S Guo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The growth of intelligent vehicular services, like augmented reality (AR) road simulation,
underscores the need for rapid, multi-modal content generation. Generative artificial …

Toward collaborative intelligence in IoV systems: Recent advances and open issues

S Danba, J Bao, G Han, S Guleng, C Wu - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) technology has been attracting great interest from both academia
and industry due to its huge potential impact on improving driving experiences and enabling …

End-to-End Autonomous Driving through V2X Cooperation

H Yu, W Yang, J Zhong, Z Yang, S Fan, P Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X
communication has emerged as a promising approach for advanced autonomous driving …

Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles

Q Liang, J Liu, Z Jiang, J Yin, K Xu… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Multi-agent reinforcement learning (MARL) methods have emerged as a promising solution
for multi-agent collaborative driving in the intersection and roundabout scenarios. However …

Edge Intelligence for Internet of Vehicles: A Survey

G Yan, K Liu, C Liu, J Zhang - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …

NFT-based intelligence networking for connected and autonomous vehicles: A quantum reinforcement learning approach

Y Ren, R Xie, FR Yu, T Huang, Y Liu - IEEE Network, 2022 - ieeexplore.ieee.org
Recently, the Internet of vehicles (IoV) and connected and autonomous vehicles (CAVs)
have become research hotspots. The accuracy and efficiency of artificial intelligence (AI) …

Futuristic Intelligent Transportation System

Y Hui, Z Su, TH Luan, N Cheng - arXiv preprint arXiv:2105.09493, 2021 - arxiv.org
The emerging autonomous vehicles (AVs) will inevitably revolutionize the transportation
systems. This is because of a key feature of AVs; instead of being managed by human …

Towards fully intelligent transportation through infrastructure-vehicle cooperative autonomous driving: Challenges and opportunities

S Liu, B Yu, J Tang, Q Zhu - 2021 58th ACM/IEEE Design …, 2021 - ieeexplore.ieee.org
The infrastructure-vehicle cooperative autonomous driving approach relies on the
cooperation between intelligent roads and intelligent vehicles. This approach is not only …

Resource Optimization in UAV-assisted IoT Networks: The Role of Generative AI

S Sharif, S Zeadally, W Ejaz - arXiv preprint arXiv:2405.03863, 2024 - arxiv.org
We investigate how generative Artificial Intelligence (AI) can be used to optimize resources
in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks. In particular …