5 papers
Synesthesia of Machines (SoM)-Empowered Wireless Image Transmission over Complex Dynamic Channel
Haozhen Li, Ruide Zhang, Rongqing Zhang +1
Wireless image transmission underpins diverse networked intelligent services and becomes an increasingly critical issue. Existing works have shown that deep learning-based joint so…
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception
Ensong Liu, Rongqing Zhang, Xiang Cheng +1
Collaborative perception enables more accurate and comprehensive scene understanding by learning how to share information between agents, with LiDAR point clouds providing essentia…
Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission
Sijiang Li, Rongqing Zhang, Xiang Cheng +1
To support cooperative perception (CP) of networked mobile agents in dynamic scenarios, the efficient and robust transmission of sensory data is a critical challenge. Deep learning…
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
Zhiwei Wei, Chenran Huang, Bing Li +4
Vehicular Fog Computing (VFC) is significantly enhancing the efficiency, safety, and computational capabilities of Intelligent Transportation Systems (ITS), and the integration of…
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving
Jianan Zhang, Zhiwei Wei, Boxun Liu +3
In dynamic autonomous driving environment, Artificial Intelligence-Generated Content (AIGC) technology can supplement vehicle perception and decision making by leveraging models' g…