南方科技大学知识苑(SUSTech KC): Drone Detection and Tracking System Based on Fused Acoustical and Optical Approaches

题名	Drone Detection and Tracking System Based on Fused Acoustical and Optical Approaches
作者	Ding, Siyi; Guo, Xiao; Peng, Ti ; Huang, Xiao ; Hong, Xiaoping
通讯作者	Huang, Xiao; Hong, Xiaoping
发表日期	2023-07-01
DOI	10.1002/aisy.202300251
发表期刊	ADVANCED INTELLIGENT SYSTEMS 影响因子和分区
EISSN	2640-4567
卷号	5
摘要	The increasing popularity of small drones has stressed the urgent need for an effective drone-oriented surveillance system that can work day and night. Herein, an acoustic and optical sensor-fusion-based system-termed multimodal unmanned aerial vehicle 3D trajectory exposure system (MUTES) is presented to detect and track drone targets. MUTES combines multiple sensor modules including microphone array, camera, and lidar. The 64-channel microphone array provides semispherical surveillance with high signal-to-noise ratio of sound source estimation, while the long-range lidar and the telephoto camera are capable of subsequent precise target localization in a narrower but higher definition field of view. MUTES employs a coarse-to-fine, passive-to-active localization strategy for wide-range detection (semispherical) and high-precision 3D tracking. To further increase the fidelity, an environmental denoising model is trained, which helps to select valid acoustic features from a drone target, thus overcomes the drawbacks of the traditional sound source localization approaches when facing noise interference. The effectiveness of the proposed sensor-fusion approach is validated through field experiments. To the best of the knowledge, MUTES provides the farthest detection range, highest 3D position accuracy, strong anti-interference capability, and acceptable cost for unverified drone intruders.
关键词	acoustic array drone detection sensor fusion sound source localization trajectory tracking
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	第一 ; 通讯
资助项目	SUSTech startup Fund[Y01966105] ; SUSTech-DJI joint Lab Fund[K2096Z028] ; Shenzhen Science and Technology Project["JSGG20211029095803004","JSGG20201103100401004"]
WOS研究方向	Automation & Control Systems ; Computer Science ; Robotics
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Robotics
WOS记录号	WOS:001031937300001
出版者	WILEY
EI入藏号	20233014426221
EI主题词	Acoustic generators ; Acoustic noise ; Aircraft detection ; Antennas ; Cameras ; Intelligent systems ; Microphone array ; Monte Carlo methods ; Optical radar ; Security systems ; Signal to noise ratio
EI分类号	Aircraft, General:652.1 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2 ; Artificial Intelligence:723.4 ; Optical Devices and Systems:741.3 ; Photographic Equipment:742.2 ; Acoustic Noise:751.4 ; Acoustic Devices:752.1 ; Acoustic Generators:752.4 ; Accidents and Accident Prevention:914.1 ; Mathematical Statistics:922.2
来源库	Web of Science
引用统计	被引频次[WOS]：2
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/553305
专题	工学院_系统设计与智能制造学院
作者单位	Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen 518000, Peoples R China
第一作者单位	系统设计与智能制造学院
通讯作者单位	系统设计与智能制造学院
第一作者的第一单位	系统设计与智能制造学院
推荐引用方式 GB/T 7714	Ding, Siyi,Guo, Xiao,Peng, Ti,et al. Drone Detection and Tracking System Based on Fused Acoustical and Optical Approaches[J]. ADVANCED INTELLIGENT SYSTEMS,2023,5.
APA	Ding, Siyi,Guo, Xiao,Peng, Ti,Huang, Xiao,&Hong, Xiaoping.(2023).Drone Detection and Tracking System Based on Fused Acoustical and Optical Approaches.ADVANCED INTELLIGENT SYSTEMS,5.
MLA	Ding, Siyi,et al."Drone Detection and Tracking System Based on Fused Acoustical and Optical Approaches".ADVANCED INTELLIGENT SYSTEMS 5(2023).