UAV Detection

UAV: Unmanned Aerial Vehicle

Latest papers

28 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Hybrid acoustic and pretrained embedding feature fusion for unmanned aerial vehicle detection using stacking ensemble learning under a leakage-aware evaluation protocol
Nov 3, 2026Zahid IqbalUAV Detection Multi-View Feature Fusion
Department of Computer Science, Faculty of Computing and Information Technology, University of Gujrat, 50700, Punjab, Pakistan
AVID: A Weakly Aligned RGB-Infrared Dataset and Perturbation Benchmark for Tiny Aerial Targets
Oct 29, 2026Dharini Raghavan, Vishnu Rao, Sethu Selvi SAerial Object Detection Small Object Detection
Georgia Institute of Technology · ARTPARK, Indian Institute of Science · Ramaiah Institute of Technology
Early versus Late RGB-Infrared Fusion for Counter-UAV Detection: A Comparative Study
Oct 21, 2026Alberto De Zan, Denis Tavaris, Gian Luca Foresti +1UAV Detection Infrared-Visible Image Fusion
Department of Mathematics, Computer Science, and Physics, University of Udine, Via delle Scienze 206, 33100 Udine, Italy
What Frame-Level Labels Can and Cannot Do for Small-UAV Point Detection in Thermal Video
Oct 6, 2026Wonbin Son, Gyumum Choi, Junil Seo +1Infrared Small Target Detection UAV Detection
HDMamba-YOLO: Efficient State-Space Perception and Local Spatial Reconstruction for UAV Small Object
Sep 19, 2026Linduo Wei, Junjie Fan, Yijun Mai +1Aerial Object Detection Remote Sensing Small Object Detection
School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China · School of Intellectual Property, Nanjing University of Science and Technology, Nanjing, 210094, China · School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
Project SCOUT: Interceptor Drone for Perimeter Defense
Sep 17, 2026Azmain Yousuf, Siwei Cai, Knut Peterson +2Aerial Robotics Visual Object Tracking
Drexel University
Evaluating the Robustness of Anti-UAV Detection under Controlled Fog Degradation: Fog-Aware Training and Clear-Sky Tradeoff
Sep 10, 2026Gur Levy Birkental, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor AlsahagUAV Detection Object Detection
University of Amsterdam Amsterdam, The Netherlands · Department of Computer Science and Technology, SUNY Empire State University Saratoga Springs, NY, USA
Evidential Deep Learning for Multi-Modal Anti-UAV Detection
Sep 1, 2026Dmitry Golovchits, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor AlsahagMultimodal Sensor Fusion Evidential Deep Learning
University of Amsterdam Amsterdam, The Netherlands
Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection
Jul 28, 2026Sagar Lekhak, Prasanna Reddy Pulakurthi, Emmett J. IentilucciHuman-in-the-Loop Annotation Hyperspectral Imaging
Rochester Institute of Technology, Rochester, NY 14623, USA
Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR
Jul 21, 2026Nian Liu, Yuxin Yang, Shubo Lin +6Infrared Small Target Detection Detection Transformer
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing 101408, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China +3
SkyEV: RGB-Event UAV detection and tracking dataset and baseline
Jul 21, 2026Jakub Mandula, Sebastian Heusinger, Julian Moosmann +2Visual Object Tracking Small Object Detection
ETH Zurich
ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
Jul 13, 2026Baofeng Jia, Xiaoyu Chen, Jingyuan Zhang +4Event-Based Vision Event-Based Object Detection
State key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, Nanjing University of Science and Technology, Nanjing 210094, China · Jiangsu Key Laboratory of Visual Sensing and Intelligent Perception, Nanjing University of Science and Technology, Nanjing 210094, China
EchoHawk: A Reproducible Acoustic Pipeline for Drone Detection, Classification, and Direction-Finding, with a Cautionary Study of Session-Level Data Leakage
Jun 28, 2026David ShulmanData Leakage Direction-of-Arrival Estimation
DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace
Jun 10, 2026Marius BayizereGraph Neural Networks UAV Detection
Independent Researcher, Kigali, Rwanda
EventRadar: Long-Range Visual UAV Discovery through Spatiotemporal Event Sensing
Jun 9, 2026Zhiting Zhou, Xingchen Liu, Xinglin Yu +5Event-Based Vision UAV Detection
Shenzhen International Graduate School, Tsinghua University · Sun Yat-sen University · Harbin Institute of Technology, Shenzhen +3
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
May 25, 2026Ungvári Gergő, Ferenc Braun, Attila Ámon +4Wavelet Methods Aerial Object Detection
Department of Numerical Analysis, Eötvös Loránd University, Pázmány Péter sétány, Budapest, 1117, Hungary. · System and Control Laboratory, HUN-REN Institute for Computer Science and Control, Kende utca, Budapest, 1111, Hungary. · HUN-REN Centre for Energy Research, Konkoly-Thege Miklós út, Budapest, 1121, Hungary. +3
Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
May 21, 2026Liuyang Wang, Feitian ZhangVideo Object Detection Object Detection
Robotics and Control Laboratory, Department of Robotics, School of Advanced Manufacturing and Robotics, and the State Key Laboratory of Turbulence and Complex Systems, Peking University, Beijing, 100871, China · Great Bay University, Guangdong 523808, China
Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method
May 20, 2026Yihang Luo, Jun Chen, Chao Xiao +13Multispectral Object Detection Small Object Detection
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China · Aviation University of Air Force, China · Sun Yat-sen University, China
LER-YOLO: Reliability-Aware Expert Routing for Misaligned RGB-Infrared UAV Detection
May 20, 2026Liming Hou, Yueping Peng, Hexiang Hao +6Infrared Object Detection Multispectral Object Detection
Engineering University of PAP, Xi’an 710086, China · Unit Command Department, Officers College of PAP, Chengdu 610213, China
XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles
May 13, 2026Iakovos-Christos Zarkadis, Christos DouligerisEnsemble Learning Network Intrusion Detection
University of Piraeus Athens, Greece · Dept. of Informatics University of Piraeus Piraeus, Greece
M $^2$ E-UAV: A Benchmark and Analysis for Onboard Motion-on-Motion Event-Based Tiny UAV Detection
May 11, 2026Weiqi Yan, Lixin Chen, Xiangrui Hou +5Small Object Detection Event-Based Object Detection
Fujian Key Laboratory of Urban Intelligent Sensing and Computing, School of Informatics, Xiamen University, Xiamen, China · Meta, Menlo Park, USA
Optimizing Data Augmentation for Real-Time Small UAV Detection: A Lightweight Context-Aware Approach
Apr 21, 2026Amir Zamani, Zeinab AbediniData Augmentation Small Object Detection
Department of Computer Engineering, Comprehensive University of the Islamic Revolution, Tehran, Iran · Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
Mar 19, 2026KhushiyantLikelihood Ratio Testing Fault Detection
Department of Computer Science, University of Freiburg
Unsupervised LiDAR-Based Multi-UAV Detection and Tracking Under Extreme Sparsity
Mar 12, 2026Nivand Khosravi, Rodrigo Ventura, Meysam BasiriUAV Detection Aerial Object Detection
Instituto Superior T´ecnico, University of Lisbon, Lisbon, Portugal
Real-Time Drone Detection in Event Cameras via Per-Pixel Frequency Analysis
Mar 9, 2026Michael Bezick, Majid SahinUAV Detection Aerial Object Detection
Johns Hopkins University APL
Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
Mar 9, 2026Ishrat Jahan, Molla E Majid, M Murugappan +5UAV Detection Multimodal Sensor Fusion
Department of Computer Science and Engineering, Shahjalal University of Science & Technology, Sylhet, Bangladesh · Computer Applications Department, Academic Bridge Program, Qatar Foundation, Doha, Qatar. · Intelligent Signal Processing (ISP) Research Lab, Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Block 4, Doha, Kuwait +5
ODD-SEC: Onboard Drone Detection with a Spinning Event Camera
Mar 6, 2026Kuan Dai, Hongxin Zhang, Sheng Zhong +1UAV Detection Aerial Object Detection
Neuromorphic Automation and Intelligence Lab (NAIL) at School of Artificial Intelligence and Robotics, Hunan University, Changsha, China.
CollabOD: Collaborative Multi-Backbone with Cross-scale Vision for UAV Small Object Detection
Mar 6, 2026Xuecheng Bai, Yuxiang Wang, Chuanzhi Xu +3Efficient Object Detection Small Object Detection
Aviation Traffic Control Technology (SHENZHEN) Co., Ltd., Shenzhen, China · The University of Sydney, NSW, Australia · Research Institute of Traffic Control Technology Co., Ltd., Beijing, China +1

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Hybrid acoustic and pretrained embedding feature fusion for unmanned aerial vehicle detection using stacking ensemble learning under a leakage-aware evaluation protocol

Zahid Iqbal

Department of Computer Science, Faculty of Computing and Information Technology, University of Gujrat, 50700, Punjab, Pakistan

UAV Detection Multi-View Feature Fusion Data Leakage Sound Event Detection Audio Understanding

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Small multirotor drones produce a characteristic acoustic signature, and microphones offer a low-cost way to detect them. High accuracies have been reported on public drone audio benchmarks, often with random clip-level splits of datasets built from a few long recordings and pieces of existing sound collections, so pieces of one source can appear in both training and test data. We study the binary task of the public DroneAudioDataset (11,704 one-second clips). Its 1,332 drone clips come from 257 five-second chunks of 7 recordings, and 96.4% of its non-drone clips are pieces of the 2,000 clips of the ESC-50 sound dataset. A grouped, source-disjoint protocol (five folds, three repeats) is compared with a random split. Each clip is described by 57 hand-crafted acoustic descriptors, reduced by a hybrid minimum-redundancy maximum-relevance and ReliefF selection or by NSGA-II multi-objective search, and by a 1024-dimensional embedding from the pretrained YAMNet network. Random Forest and XGBoost learners on both views form a stacking ensemble. Under the grouped protocol, the two-view stack reached a mean accuracy of 95.29% (SD 1.62 points over 15 test folds), a specificity of 98.29% and an area under the ROC curve of 0.990, and it correctly classified 98.78% of unseen ESC-50 source clips as non-drone. The random split overstated accuracy by 1.89 to 3.22 points for the four models. Adding YAMNet embeddings to the hand-crafted view raised accuracy by 1.11 points (higher in 12 of 15 folds). Hybrid selection matched the accuracy of all 44 baseline descriptors with 16 to 18 features, and NSGA-II retained 4 to 6 features at lower accuracy. The stack took 51.0 ms per clip on one CPU thread. Source-disjoint evaluation is needed for a fair benchmark on this dataset, and fusing hand-crafted descriptors with pretrained embeddings gives a small but consistent gain at modest computational cost.