9 citations · 9 across the 10 of their papers we have counts for
5 papers · 1 filter
Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation
Yuxuan Wang, Kaige Qu, Wen Wu +2
In this paper, we propose a novel road side unit (RSU)-assisted cooperative sensing scheme for connected autonomous vehicles (CAVs), with the objective to reduce completion time of…
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…