Edge computing powers aerial swarms in sensing, communication, and planning  

作　　者：Hai Zhu Quan Chen Xiaozhou Zhu Wen Yao Xiaoqian Chen 

机构地区：[1]Defense Innovation Institute,Chinese Academy of Military Sciences,Beijing 100071,China [2]College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China [3]Intelligent Game and Decision Laboratory,Beijing 100071,China

出　　处：《The Innovation》2023年第6期11-12,共2页创新（英文）

基　　金：National Natural Science Foundation of China(62303486);National University of Defense Technology(NUDT)for its 70th anniversary.

摘　　要：The last decade has witnessed significant progress and extensive applications of unmanned aerial vehicles(UAVs),thanks to their exceptional mobility,cost-effectiveness,and versatile deployment capabilities.1 With continuous advances in sensing,communication,and processing technologies,using UAV swarms to provide cost-effective services in future smart cities is expected to become ubiquitous.These services encompass a wide spectrum of applications,ranging from large-scale infrastructure inspection,geospatial land surveying,and traffic/crowd monitoring,to three-dimensional terrain mapping.2 In these scenarios,UAVs are typically equipped with onboard sensors such as cameras and LiDARs,to gather environmental information by analyzing the sensor data such as captured videos and point clouds.The key technologies to achieve autonomous information-gathering flight for UAV swarms include information extraction from sensor data,transmission and fusion of the extracted information among UAVs,and planning and coordination of their trajectories to ensure safe and efficient mission accomplishment.

关 键 词：COMMUNICATION GATHERING SURVEYING 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]