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LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques.

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第一作者： Ulzhalgas,Seidaliyeva

第一单位： Metropolitan College (MET), Boston University, Boston, MA 02215, USA.

作者： Ulzhalgas,Seidaliyeva ^[1] ; Lyazzat,Ilipbayeva ^[2] ; Dana,Utebayeva ^[3] ; Nurzhigit,Smailov ^[4] ; Eric T,Matson ^[5] ; Yerlan,Tashtay ^[6] ; Mukhit,Turumbetov ^[6] ; Akezhan,Sabibolda ^[6]

作者单位： Metropolitan College (MET), Boston University, Boston, MA 02215, USA. ^[1] Department of Radio Engineering, Electronics and Telecommunications, International IT University, Almaty 050040, Kazakhstan. ^[2] Department of Computer Science, SDU University, Almaty 040900, Kazakhstan. ^[3] Department of Electronics, Telecommunications and Space Technologies, Satbayev University, Almaty 050013, Kazakhstan.;Department of Mechanical Engineering and Robotics, U. A. Joldasbekov Institute of Mechanics and Engineering, Almaty 050010, Kazakhstan. ^[4] Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907-2021, USA. ^[5] Department of Electronics, Telecommunications and Space Technologies, Satbayev University, Almaty 050013, Kazakhstan. ^[6]

关键词 3D object detection LiDAR LiDAR classifications UAV detection deep learning deep learning for point cloud processing drone detection object detection point clouds scanning mechanism unmanned aerial vehicles (UAVs)

DOI 10.3390/s25092757

PMID 40363196

发布时间 2025-05-14

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