4 papers
Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks
Kaige Qu, Zixiong Qin, Weihua Zhuang
To accommodate high network dynamics in real-time cooperative perception (CP), reinforcement learning (RL) based adaptive CP schemes have been proposed, to allow adaptive switching…
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Xuehan Ye, Kaige Qu, Weihua Zhuang +1
To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sen…
Digital Twin Assisted Intelligent Network Management for Vehicular Applications
Kaige Qu, Weihua Zhuang
The emerging data-driven methods based on artificial intelligence (AI) have paved the way for intelligent, flexible, and adaptive network management in vehicular applications. To e…
Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles
Kaige Qu, Weihua Zhuang, Qiang Ye +2
Cooperative perception (CP) is a key technology to facilitate consistent and accurate situational awareness for connected and autonomous vehicles (CAVs). To tackle the network reso…