Advances in UAV Detection, Classification and Tracking

"Advances in UAV Detection, Classification and Tracking" is a comprehensive book that explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need fo...

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Detalles Bibliográficos
Formato:	Online
Idioma:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	distributed electric propulsion coordinated thrust control fault-tolerant control flight simulation autonomous navigation gimbal design obstacle avoidance target tracking unmanned aerial vehicles law enforcement tiltrotor blade element theory flight mechanical model stability analysis social learning ant colony optimization multi-agent system visual tracking system embedded system drone omnidirectional mobile robot multi-target association topological sequences triangular networks global consistency similar transformation invariance micro-Doppler radar target classification unmanned aerial vehicle motion planning optimization techniques attention mechanism anti-occlusion location prediction convolutional neural network CNN YOLO deep learning UAV drone detection drone recognition automatic target recognition (ATR) classify while scan (CWS) drone detection radar detection response time (DRT) unmanned air traffic management (UTM) object detection deep learning adaptive cluster cognitive micro-Doppler radar Doppler resolution JEM signals radar dwell time advancement tracking and communication threats three-dimensional circumnavigation control elliptical multi-orbit UAV group small-object detection backbone design object positioning object classification UAV flight experiment astronaut detection astronaut accompanying intravehicular visual navigation semi-structured environment dynamic scenes n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
Acceso en liña:	ONIX_20230623_9783036575612_32
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Summary:	"Advances in UAV Detection, Classification and Tracking" is a comprehensive book that explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.With contributions from leading experts in the field, "Advances in UAV Detection, Classification and Tracking" is an essential resource for researchers, engineers, and practitioners working on UAV detection, classification, and tracking. It is also a valuable reference for graduate students and anyone interested in the latest advancements in this rapidly evolving field.

Advances in UAV Detection, Classification and Tracking

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