YOLO-Based UAV Technology: A Review of the Research and Its Applications

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803 · see citing works

YOLO9000: Better, Faster, Stronger

Redmon, J., & Farhadi, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.690 · Cited by 19,892 · see citing works

A Review of Yolo Algorithm Developments

Jiang, P., Ergu, D., Liu, F., Cai, Y., & Ma, B. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.135 · Cited by 2,783 · see citing works

Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs

Nepal, U., & Eslamiat, H. (2022) · Sensors · doi:10.3390/s22020464 · Cited by 446 · see citing works

UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

Liu, M., Wang, X., Zhou, A., Fu, X., Ma, Y., & Piao, C. (2020) · Sensors · doi:10.3390/s20082238 · Cited by 368 · see citing works

Review on the Technological Development and Application of UAV Systems

Fan, B., Li, Y., Zhang, R., & Fu, Q. (2020) · Chinese Journal of Electronics · doi:10.1049/cje.2019.12.006 · Cited by 317 · see citing works

ViT-YOLO:Transformer-Based YOLO for Object Detection

Zhang, Z., Lu, X., Cao, G., Yang, Y., Jiao, L., & Liu, F. (2021) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw54120.2021.00314 · Cited by 312 · see citing works

IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging

Sadykova, D., Pernebayeva, D., Bagheri, M., & James, A. P. (2019) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2019.2944741 · Cited by 308 · see citing works

DFFIR-net: Infrared Dim Small Object Detection Network Constrained by Gray-level Distribution Model

Yang, Z., Ma, T., Ku, Y., Ma, Q., & Fu, J. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3220285 · Cited by 300 · see citing works

Face Mask Wearing Detection Algorithm Based on Improved YOLO-v4

Yu, J., & Zhang, W. (2021) · Sensors · doi:10.3390/s21093263 · Cited by 288 · see citing works

Remote proximity monitoring between mobile construction resources using camera-mounted UAVs

Kim, D., Liu, M., Lee, S. H., & Kamat, V. R. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.12.014 · Cited by 261 · see citing works

Object detection from UAV thermal infrared images and videos using YOLO models

Jiang, C., Ren, H., Ye, X., Zhu, J., Zeng, H., Nan, Y., Sun, M., Ren, X., & Huo, H. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102912 · Cited by 229 · see citing works

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery

Hong, S.-J., Han, Y., Kim, S.-Y., Lee, A.-Y., & Kim, G. (2019) · Sensors · doi:10.3390/s19071651 · Cited by 227 · see citing works

A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways

Azimjonov, J., & Özmen, A. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101393 · Cited by 200 · see citing works

Automatic Detection and Counting System for Pavement Cracks Based on PCGAN and YOLO-MF

Ma, D., Fang, H., Wang, N., Zhang, C., Dong, J., & Hu, H. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3161960 · Cited by 197 · see citing works

Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer

Khan, S. A., Tufail, M., Khan, M. T., Khan, Z. A., & Anwar, S. (2021) · Precision Agriculture · doi:10.1007/s11119-021-09808-9 · Cited by 173 · see citing works

Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle

Kraft, M., Piechocki, M., Ptak, B., & Walas, K. (2021) · Remote Sensing · doi:10.3390/rs13050965 · Cited by 163 · see citing works

Automatic Person Detection in Search and Rescue Operations Using Deep CNN Detectors

Sambolek, S., & Ivašić-Kos, M. (2021) · IEEE Access · doi:10.1109/access.2021.3063681 · Cited by 161 · see citing works

YOLOv4_Drone: UAV image target detection based on an improved YOLOv4 algorithm

Tan, L., Lv, X., Lian, X., & Wang, G. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107261 · Cited by 150 · see citing works

Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application

Ahmad, F., Qiu, B., Dong, X., Ma, J., Huang, X., Ahmed, S., & Chandio, F. A. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105350 · Cited by 149 · see citing works

An automatic method for weed mapping in oat fields based on UAV imagery

Gašparović, M., Zrinjski, M., Barković, Đ., & Radočaj, D. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105385 · Cited by 147 · see citing works

Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning

Wu, B., Liang, A., Zhang, H., Zhu, T., Zou, Z., Yang, D., Tang, W., Li, J., & Su, J. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.118986 · Cited by 137 · see citing works

Deep neural network based date palm tree detection in drone imagery

Jintasuttisak, T., Edirisinghe, E. A., & El-Battay, A. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106560 · Cited by 127 · see citing works

Real-Time Concrete Damage Detection Using Deep Learning for High Rise Structures

Kumar, P., Batchu, S., Swamy, S. N., & Raju, K. S. (2021) · IEEE Access · doi:10.1109/access.2021.3102647 · Cited by 121 · see citing works

Object Detection of UAV for Anti-UAV Based on Improved YOLO v3

Hu, Y., Wu, X., Zheng, G., & Liu, X. (2019) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2019.8865525 · Cited by 120 · see citing works

LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest

Wang, X., Zhao, Q., Jiang, P., Zheng, Y., Yuan, L., & Yuan, P. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107035 · Cited by 117 · see citing works

Improved YOLOv3 Network for Insulator Detection in Aerial Images with Diverse Background Interference

Liu, C., Wu, Y., Liu, J., & Sun, Z. (2021) · Electronics · doi:10.3390/electronics10070771 · Cited by 112 · see citing works

An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images

Silva, L. A., Blas, H. S. S., García, D. P., Mendes, A. S., & González, G. V. (2020) · Sensors · doi:10.3390/s20216205 · Cited by 112 · see citing works

Research on Recognition Method of Electrical Components Based on YOLO V3

Chen, H., He, Z., Shi, B., & Zhong, T. (2019) · IEEE Access · doi:10.1109/access.2019.2950053 · Cited by 104 · see citing works

Detection of River Plastic Using UAV Sensor Data and Deep Learning

Maharjan, N., Miyazaki, H., Pati, B. M., Dailey, M. N., Shrestha, S., & Nakamura, T. (2022) · Remote Sensing · doi:10.3390/rs14133049 · Cited by 101 · see citing works

Automatic detection of oil palm fruits from UAV images using an improved YOLO model

Junos, M. H., Khairuddin, A. S. M., Thannirmalai, S., & Dahari, M. (2021) · The Visual Computer · doi:10.1007/s00371-021-02116-3 · Cited by 100 · see citing works

Wildfire and Smoke Detection Using Staged YOLO Model and Ensemble CNN

Bahhar, C., Ksibi, A., Ayadi, M., Jamjoom, M. M., Ullah, Z., Soufiene, B. O., & Sakli, H. (2023) · Electronics · doi:10.3390/electronics12010228 · Cited by 99 · see citing works

Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5

Luo, X., Wu, Y., & Wang, F. (2022) · Remote Sensing · doi:10.3390/rs14195063 · Cited by 97 · see citing works

Target Object Detection from Unmanned Aerial Vehicle (UAV) Images Based on Improved YOLO Algorithm

Arunnehru, J., Thalapathiraj, S., Sekar, V., Ravikumar, D., Vijayaraja, L., Kannadasan, R., Khan, A. A., Wechtaisong, C., Haq, M. A., Alhussen, A., et al. (2022) · Electronics · doi:10.3390/electronics11152343 · Cited by 95 · see citing works

Human detection based on deep learning YOLO-v2 for real-time UAV applications

Boudjit, K., & Ramzan, N. (2022) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813x.2021.1907793 · Cited by 88 · see citing works

Quick and accurate monitoring peanut seedlings emergence rate through UAV video and deep learning

Lin, Y., Chen, T., Liu, S., Cai, Y., Shi, H., Zheng, D., Lan, Y., Yue, X., & Zhang, L. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.106938 · Cited by 83 · see citing works

Drone-Computer Communication Based Tomato Generative Organ Counting Model Using YOLO V5 and Deep-Sort

Egi, Y., Hajyzadeh, M., & Eyceyurt, E. (2022) · Agriculture · doi:10.3390/agriculture12091290 · Cited by 82 · see citing works

Detection and Location of Steel Structure Surface Cracks Based on Unmanned Aerial Vehicle Images

Han, Q., Liu, X., & Xu, J. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.104098 · Cited by 73 · see citing works

Automatic animal identification from drone camera based on point pattern analysis of herd behaviour

Petso, T., Jamisola, R. S., Mpoeleng, D., Bennitt, E., & Mmereki, W. (2021) · Ecological Informatics · doi:10.1016/j.ecoinf.2021.101485 · Cited by 71 · see citing works

YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images

Şahin, Ö., & Özer, S. (2021) · International Conference on Telecommunications and Signal Processing (TSP) · doi:10.1109/tsp52935.2021.9522653 · Cited by 69 · see citing works

A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images

Zhao, J., Yan, J., Xue, T., Wang, S., Qiu, X., Yao, X., Tian, Y., Zhu, Y. P., Cao, W., & Zhang, X. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107087 · Cited by 68 · see citing works

Edge device based Military Vehicle Detection and Classification from UAV

Gupta, P., Pareek, B., Singal, G., & Rao, D. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11242-y · Cited by 65 · see citing works

Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery

Puliti, S., & Astrup, R. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102946 · Cited by 61 · see citing works

Wireless Communications for Data Security: Efficiency Assessment of Cybersecurity Industry—A Promising Application for UAVs

Wang, C., Yang, F.-C., Thi Minh Nhut, V. O., & Nguyễn, V. T. (2022) · Drones · doi:10.3390/drones6110363 · Cited by 61 · see citing works

Airborne Visual Detection and Tracking of Cooperative UAVs Exploiting Deep Learning

Opromolla, R., Inchingolo, G., & Fasano, G. (2019) · Sensors · doi:10.3390/s19194332 · Cited by 58 · see citing works

YOLOD: A Target Detection Method for UAV Aerial Imagery

Luo, X., Wu, Y., & Zhao, L. (2022) · Remote Sensing · doi:10.3390/rs14143240 · Cited by 58 · see citing works

Real-Time UAV Trash Monitoring System

Liao, Y.-H., & Juang, J. (2022) · Applied Sciences · doi:10.3390/app12041838 · Cited by 57 · see citing works

Automatic Extraction of Damaged Houses by Earthquake Based on Improved YOLOv5: A Case Study in Yangbi

Jing, Y., Ren, Y., Liu, Y., Wang, D., & Yu, L. (2022) · Remote Sensing · doi:10.3390/rs14020382 · Cited by 56 · see citing works

YOLO-V3 based real-time drone detection algorithm

Alsanad, H. R., Sadik, A. Z., Osman Nuri, U. C. A. N., Ilyas, M., & Bayat, O. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12939-4 · Cited by 56 · see citing works

A Vision‐Based Target Detection, Tracking, and Positioning Algorithm for Unmanned Aerial Vehicle

Liu, X., & Zhang, Z. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/5565589 · Cited by 56 · see citing works

Search Like an Eagle: A Cascaded Model for Insulator Missing Faults Detection in Aerial Images

Han, J., Yang, Z. X., Xu, H., Hu, G., Zhang, C., Li, H., Lai, S., & Zeng, H. (2020) · Energies · doi:10.3390/en13030713 · Cited by 55 · see citing works

Toward AI-Assisted UAV for Human Detection in Search and Rescue Missions

Rizk, M., Slim, F., & Charara, J. (2021) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa53625.2021.9682412 · Cited by 55 · see citing works

An Apple Detection Method Based on Des-YOLO v4 Algorithm for Harvesting Robots in Complex Environment

Chen, W., Zhang, J., Guo, B., Wei, Q., & Zhu, Z. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/7351470 · Cited by 54 · see citing works

Drone mapping of damage information in GPS-Denied disaster sites

Nath, N. D., Cheng, C., & Behzadan, A. H. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101450 · Cited by 53 · see citing works

Design, Sensing, and Control of a Novel UAV Platform for Aerial Drilling and Screwing

Ding, C., Lu, L., Wang, C., & Ding, C. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3062305 · Cited by 52 · see citing works

Vehicle Detection Under UAV Based on Optimal Dense YOLO Method

Xu, Z. J., Shi, H., Li, N., Xiang, C. J., & Zhou, H. (2018) · International Conference on Systems and Informatics (ICSAI) · doi:10.1109/icsai.2018.8599403 · Cited by 51 · see citing works

OSDDY: embedded system-based object surveillance detection system with small drone using deep YOLO

Madasamy, K., Shanmuganathan, V., Kandasamy, V., Lee, M. Y., & Thangadurai, M. (2021) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-021-00559-1 · Cited by 50 · see citing works

YOLOv5-Based Vehicle Detection Method for High-Resolution UAV Images

Chen, Z., Cao, L., & Wang, Q. (2022) · Mobile Information Systems · doi:10.1155/2022/1828848 · Cited by 48 · see citing works

Mixed Road User Trajectory Extraction From Moving Aerial Videos Based on Convolution Neural Network Detection

Feng, R., Fan, C., Li, Z., & Chen, X. (2020) · IEEE Access · doi:10.1109/access.2020.2976890 · Cited by 48 · see citing works

Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO

Bao, W., Ren, Y., Wang, N., Hu, G., & Yang, X. (2021) · Remote Sensing · doi:10.3390/rs13204134 · Cited by 45 · see citing works

Autonomous drone hunter operating by deep learning and all-onboard computations in GPS-denied environments

Wyder, P. M., Chen, Y., Lasrado, A. J., Pelles, R. J., Kwiatkowski, R., Comas, E. O. A., Kennedy, R., Mangla, A., Huang, Z., Hu, X., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225092 · Cited by 44 · see citing works

Fast Automatic Vehicle Detection in UAV Images Using Convolutional Neural Networks

Luo, X. Y., Tian, X., Zhang, H., Hou, W., Leng, G., Xu, W., Jia, H., He, X., Wang, M., & Zhang, J. (2020) · Remote Sensing · doi:10.3390/rs12121994 · Cited by 42 · see citing works

Vision-Based Moving UAV Tracking by Another UAV on Low-Cost Hardware and a New Ground Control Station

ÇİNTAŞ, E., Özyer, B., & Şımşek, E. (2020) · IEEE Access · doi:10.1109/access.2020.3033481 · Cited by 42 · see citing works

Detection of Pine Wilt Nematode from Drone Images Using UAV

Sun, Z., Ibrayim, M., & Hamdulla, A. (2022) · Sensors · doi:10.3390/s22134704 · Cited by 42 · see citing works

Ag-YOLO: A Real-Time Low-Cost Detector for Precise Spraying With Case Study of Palms

Qin, Z., Wang, W., Dammer, K.-H., Guo, L., & Cao, Z. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.753603 · Cited by 41 · see citing works

Biomimetic Vision for Zoom Object Detection Based on Improved Vertical Grid Number YOLO Algorithm

Shen, X., Shi, G., Ren, H., & Wu, Z. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.905583 · Cited by 41 · see citing works

SPB-YOLO: An Efficient Real-Time Detector For Unmanned Aerial Vehicle Images

Wang, X., Li, W., Guo, W., & Cao, K. (2021) · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · doi:10.1109/icaiic51459.2021.9415214 · Cited by 40 · see citing works

Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm

Xie, Y., JIANG, J., Bao, H., Zhai, P., Zhao, Y., Xiaoyu, Z. H. O. U., & Jiang, G. (2022) · Integrative Zoology · doi:10.1111/1749-4877.12667 · Cited by 38 · see citing works

Project Vulture: A Prototype for Using Drones in Search and Rescue Operations

Quan, A., Herrmann, C., & Soliman, H. (2019) · International Conference on Distributed Computing in Sensor Systems (DCOSS) · doi:10.1109/dcoss.2019.00113 · Cited by 37 · see citing works

Improving real-time drone detection for counter-drone systems

Çetin, E., Barrado, C., & Pastor, E. (2021) · The Aeronautical Journal · doi:10.1017/aer.2021.43 · Cited by 37 · see citing works

A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images

Rampriya, R. S., Suganya, R., Nathan, S., & Perumal, P. S. (2022) · Applied Artificial Intelligence · doi:10.1080/08839514.2021.2018184 · Cited by 37 · see citing works

Intelligent Diagnosis Method of Power Equipment Faults Based on Single‐Stage Infrared Image Target Detection

Zheng, H., Ping, Y., Cui, Y., & Li, J. (2022) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.23681 · Cited by 36 · see citing works

Automated Detection of Animals in Low-Resolution Airborne Thermal Imagery

Ulhaq, A., Adams, P., Cox, T. E., Khan, A. A., Low, T., & Paul, M. (2021) · Remote Sensing · doi:10.3390/rs13163276 · Cited by 36 · see citing works

Lightweight Detection Network for Arbitrary-Oriented Vehicles in UAV Imagery via Global Attentive Relation and Multi-Path Fusion

Feng, J., & Yi, C. (2022) · Drones · doi:10.3390/drones6050108 · Cited by 35 · see citing works

YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices

Koay, H. V., Chuah, J. H., Chow, C., Chang, Y.-L., & Yong, K. K. (2021) · Remote Sensing · doi:10.3390/rs13214196 · Cited by 34 · see citing works

Perception and Avoidance of Multiple Small Fast Moving Objects for Quadrotors With Only Low-Cost RGBD Camera

Lu, M., Chen, H., & Lu, P. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3205114 · Cited by 34 · see citing works

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

Nguyen, K. T. T. M., Huynh, T. N., Nguyen, P. C., Nguyen, P., Nguyen, K.-D., & Nguyen, K.-D. (2020) · Electronics · doi:10.3390/electronics9040583 · Cited by 33 · see citing works

UAV based cost-effective real-time abnormal event detection using edge computing

Alam, M. S., Natesha, B. V., Ashwin, T. S., & Guddeti, R. M. R. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08067-1 · Cited by 32 · see citing works

AIR-YOLOv3: Aerial Infrared Pedestrian Detection via an Improved YOLOv3 with Network Pruning

Shao, Y., Zhang, X., Chu, H., Zhang, X., Zhang, D., & Rao, Y. (2022) · Applied Sciences · doi:10.3390/app12073627 · Cited by 31 · see citing works

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Su, D., Yao, W., Yu, F., Liu, Y., Zheng, Z., Wang, Y., Xu, T., & Chen, C. (2022) · Agriculture · doi:10.3390/agriculture12071019 · Cited by 31 · see citing works

Vision-based system for a real-time detection and following of UAV

Barišić, A., Car, M., & Bogdan, S. (2019) · Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) · doi:10.1109/reduas47371.2019.8999675 · Cited by 30 · see citing works

Vehicle detection from road image sequences for intelligent traffic scheduling

Li, Y., Chen, Y., Yuan, S., Liu, J., Zhao, X., Yang, Y., & Liu, Y. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107406 · Cited by 30 · see citing works

A Machine Learning Method for Vision-Based Unmanned Aerial Vehicle Systems to Understand Unknown Environments

Zhang, T., Hu, X., Xiao, J., & Zhang, G. (2020) · Sensors · doi:10.3390/s20113245 · Cited by 28 · see citing works

Real-Time Object Detection and Classification by UAV Equipped With SAR

Gromada, K., Siemiątkowska, B., Stecz, W., Płochocki, K., & Woźniak, K. (2022) · Sensors · doi:10.3390/s22052068 · Cited by 28 · see citing works

An Improved Lightweight Network MobileNetv3 Based YOLOv3 for Pedestrian Detection

Zhang, X., Li, N., & Zhang, R. (2021) · doi:10.1109/iccece51280.2021.9342416 · Cited by 27 · see citing works

Real-time Road Cracks Detection based on Improved Deep Convolutional Neural Network

Hassan, S. A., Han, S. H., & Shin, S. Y. (2020) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece47787.2020.9255771 · Cited by 25 · see citing works

Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Idrissi, M., Hussain, A., Barua, B., Osman, A., Abozariba, R., Aneiba, A., & Asyhari, T. (2022) · Sensors · doi:10.3390/s22155497 · Cited by 25 · see citing works

Image quality and super resolution effects on object recognition using deep neural networks

Borel-Donohue, C. C., & Young, S. S. (2019) · doi:10.1117/12.2518524 · Cited by 23 · see citing works

A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution

Chen, Y., Zhao, D., Er, M. J., Zhuang, Y., & Hu, H. (2021) · International Journal of Remote Sensing · doi:10.1080/01431161.2021.1895449 · Cited by 23 · see citing works

Machine Learning in Solar Plants Inspection Automation

Starzyński, J., Zawadzki, P., & Harańczyk, D. (2022) · Energies · doi:10.3390/en15165966 · Cited by 23 · see citing works

A YOLO-Based Target Detection Model for Offshore Unmanned Aerial Vehicle Data

Wang, Z., Zhang, X., Li, J., & Luan, K. (2021) · Sustainability · doi:10.3390/su132312980 · Cited by 22 · see citing works

A Comparative Study of Small Object Detection Algorithms

Wang, J., Jiang, S., Song, W., & Yang, Y. M. (2019) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2019.8865157 · Cited by 21 · see citing works

Low Altitude Small UAV Detection Based on YOLO model

Yuan, X., Xia, J., Wu, J., Shi, J., & Deng, L. (2020) · Chinese Control Conference (CCC) · doi:10.23919/ccc50068.2020.9188588 · Cited by 21 · see citing works

Automated Detection of Atypical Aviation Obstacles from UAV Images Using a YOLO Algorithm

Lalak, M., & Wierzbicki, D. (2022) · Sensors · doi:10.3390/s22176611 · Cited by 20 · see citing works

Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning

Zhang, J., Wang, P., Zhao, Z., & Su, F. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86380-7_4 · Cited by 20 · see citing works

Recognition of Bird Nests on Power Transmission Lines in Aerial Images Based on Improved YOLOv4

Zhang, Z., & He, G. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2022.870253 · Cited by 20 · see citing works

Estimation and Tracking of a Moving Target by Unmanned Aerial Vehicles

Li, J.-M., Chen, C. W., & Cheng, T.-H. (2019) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2019.8815101 · Cited by 19 · see citing works

A comparison of manual and automated detection of rusa deer (Rusa timorensis) from RPAS-derived thermal imagery

Sudholz, A., Denman, S., Pople, A., Brennan, M., Amos, M., & Hamilton, G. S. (2021) · Wildlife Research · doi:10.1071/wr20169 · Cited by 18 · see citing works

Data Augmentation Analysis in Vehicle Detection from Aerial Videos

Chung, Q. M., Le, T. D., Dang, T. V., Vo, N. D., Nguyen, T., & Nguyen, K. T. T. M. (2020) · RIVF International Conference on Computing and Communication Technologies (RIVF) · doi:10.1109/rivf48685.2020.9140740 · Cited by 18 · see citing works

Image Acquisition of Power Line Transmission Towers Using UAV and Deep Learning Technique for Insulators Localization and Recognition

Ohta, H., Sato, Y., Mori, T., Takaya, K., & KROUMOV, V. T. (2019) · International Conference on System Theory, Control and Computing (ICSTCC) · doi:10.1109/icstcc.2019.8885695 · Cited by 18 · see citing works

A Holistic Service Provision Strategy for Drone-as-a-Service in MEC-based UAV Delivery

Chu, L., Li, X., Jia, X., Neiat, A. G., & Liu, X. (2021) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws53863.2021.00092 · Cited by 18 · see citing works

Towards a Heterogeneous Swarm for Object Classification

Arnold, R. D., Abruzzo, B., & Korpela, C. (2019) · IEEE National Aerospace and Electronics Conference (NAECON) · doi:10.1109/naecon46414.2019.9058257 · Cited by 17 · see citing works

Deep Learning Algorithms for Vehicle Detection on UAV Platforms: First Investigations on the Effects of Synthetic Training

Krump, M., Ruß, M., & Stütz, P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-43890-6_5 · Cited by 17 · see citing works

Blockchain and AI-Empowered Social Distancing Scheme to Combat COVID-19 Situations

Tanwar, S., Gupta, R., Patel, M. M., Shukla, A., Sharma, G., & Davidson, I. E. A. (2021) · IEEE Access · doi:10.1109/access.2021.3114098 · Cited by 17 · see citing works

Remote 3D face reconstruction by means of autonomous unmanned aerial vehicles

Abate, A. F., Maio, L. D., Distasi, R., & Narducci, F. (2021) · Pattern Recognition Letters · doi:10.1016/j.patrec.2021.04.006 · Cited by 17 · see citing works

Abnormal Behavior Detection in Crowd Scene Using YOLO and Conv-AE

Li, Y., & Dai, Z. (2021) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc52312.2021.9602095 · Cited by 17 · see citing works

Autonomous UAV-based Target Search, Tracking and Following using Reinforcement Learning and YOLOFlow

Ajmera, Y., & Singh, S. P. (2020) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr50563.2020.9292630 · Cited by 16 · see citing works

Using YOLO-based pedestrian detection for monitoring UAV

Zhang, D., Shao, Y., Mei, Y., Chu, H., Zhang, X., Zhan, H., & Rao, Y. (2019) · International Conference on Graphics and Image Processing (ICGIP) · doi:10.1117/12.2524219 · Cited by 16 · see citing works

Aerial Footage Analysis Using Computer Vision for Efficient Detection of Points of Interest Near Railway Tracks

Sharma, R., Patel, K., Shah, S., & Aibin, M. (2022) · Aerospace · doi:10.3390/aerospace9070370 · Cited by 16 · see citing works

Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision

Wang, L., Ai, J., Zhang, L., & Xing, Z. (2020) · Sensors · doi:10.3390/s20092475 · Cited by 15 · see citing works

Detection of natural disaster victims using You Only Look Once (YOLO)

Sarosa, M., Muna, N., & Rohadi, E. (2021) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1098/3/032076 · Cited by 15 · see citing works

Remote detection and measurement of leaf-cutting ant nests using deep learning and an unmanned aerial vehicle

dos Santos, A., Biesseck, B. J. G., Latte, N., Santos, I. C. D. L., dos Santos, W. P., Zanetti, R., & Zanúncio, J. C. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107071 · Cited by 15 · see citing works

A Search and Rescue System for Maritime Personnel in Disaster Carried on Unmanned Aerial Vehicle

Zheng, R., Yang, R., Lu, K., & Zhang, S. (2019) · International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) · doi:10.1109/dcabes48411.2019.00018 · Cited by 14 · see citing works

Key Parts of Transmission Line Detection Using Improved YOLO v3

Tu, R., Zhongjie, Z., Yongqiang, B., Gao, M. Y., & Ge, Z. (2021) · The International Arab Journal of Information Technology · doi:10.34028/iajit/18/6/1 · Cited by 14 · see citing works

Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions

Wang, P., Wu, L., Jiangxin, Q., & Dai, J. (2022) · IET Image Processing · doi:10.1049/ipr2.12519 · Cited by 14 · see citing works

Multi-model Deep Learning Drone Detection and Tracking in Complex Background Conditions

Phung, K.-P., Lu, T.-H., Nguyen, T.-T., Le, N.-L., Nguyen, H.-H., & Hoang, V. (2021) · International Conference on Advanced Technologies for Communications · doi:10.1109/atc52653.2021.9598317 · Cited by 13 · see citing works

COMPUTER VISION SYSTEM FOR DETECTING ORCHARD TREES FROM UAV IMAGES

Jemaa, H., Bouachir, W., Leblon, B., & Bouguila, N. (2022) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi:10.5194/isprs-archives-xliii-b4-2022-661-2022 · Cited by 12 · see citing works

Using digital image processing and Unmanned Aerial Vehicle (UAV) for identifying ceramic cladding detachment in building facades

de Sousa, A. D. P., de Sousa, G. C. L., & Maués, L. M. F. (2022) · Ambiente Construído · doi:10.1590/s1678-86212022000200601 · Cited by 12 · see citing works

Image-Based Sense and Avoid of Small Scale UAV Using Deep Learning Approach

Huang, Z.-Y., & Lai, Y.-C. (2020) · International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas48674.2020.9213884 · Cited by 11 · see citing works

YOLO-Highway: An Improved Highway Center Marking Detection Model for Unmanned Aerial Vehicle Autonomous Flight

Zhao, Z., Han, J., & Song, L. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/1205153 · Cited by 11 · see citing works

Mobile Application for Anemia Detection through Ocular Conjunctiva Images

Rivero-Palacio, M., Alfonso-Morales, W., & Caicedo, E. F. (2021) · IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI) · doi:10.1109/colcaci52978.2021.9469593 · Cited by 11 · see citing works

Deep Learning Based Real-Time Biodiversity Analysis Using Aerial Vehicles

Panigrahi, S., Maski, P., & Thondiyath, A. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-97672-9_36 · Cited by 11 · see citing works

The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques

Jin, C., Shi, X., Hui, T., Li, D., & Ma, K. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/1396326 · Cited by 11 · see citing works

Supportive Information to Find Victims from Aerial Video in Search and Rescue Operation

Kashihara, S., Wicaksono, M. A., Fall, D., & Niswar, M. (2019) · IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) · doi:10.1109/iotais47347.2019.8980435 · Cited by 11 · see citing works

Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images

Kong, H., Chen, Z., Yue, W., & Ni, K. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/6106853 · Cited by 10 · see citing works

A Hybrid Vegetation Detection Framework: Integrating Vegetation Indices and Convolutional Neural Network

Hashim, W., Eng, L. S., Alkawsi, G. A., Ismail, R., Alkahtani, A. A., Dzulkifly, S., Baashar, Y. M., & Hussain, A. (2021) · Symmetry · doi:10.3390/sym13112190 · Cited by 10 · see citing works

LAG: Layered Objects to Generate Better Anchors for Object Detection in Aerial Images

Wan, X., Yu, J., Tan, H., & Wang, J. (2022) · Sensors · doi:10.3390/s22103891 · Cited by 10 · see citing works

Unmanned Aerial Vehicle (UAV) Vision-based Detection of Power Line Poles by CPU-based Deep Learning Method

Zhang, S., Chen, B., Wang, R., Wang, J., Zhong, L., & Gao, B. (2019) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber46603.2019.9066764 · Cited by 9 · see citing works

Real-Time Deep Learning for Moving Target Detection and Tracking Using Unmanned Aerial Vehicle

Doukhi, O., Hossain, S., & Lee, D. J. (2020) · Journal of Institute of Control Robotics and Systems · doi:10.5302/j.icros.2020.20.0027 · Cited by 9 · see citing works

A real-time object detection framework for aerial imagery using deep neural networks and synthetic training images

Narayanan, P., Borel-Donohue, C. C., Lee, H., Kwon, H., & Rao, R. (2018) · Signal processing, sensor fusion, and target recognition. Conference · doi:10.1117/12.2306154 · Cited by 9 · see citing works

Correction to: Distribution Line Pole Detection and Counting Based on YOLO Using UAV Inspection Line Video

Chen, B., & Miao, X. (2019) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-019-00268-w · Cited by 9 · see citing works

Vision-based deep learning for UAVs collaboration

Arola, S., & Akhloufi, M. A. (2019) · doi:10.1117/12.2519875 · Cited by 8 · see citing works

Road Crack Detection based on Object Detection Algorithm using Unmanned Aerial Vehicle Image

Dept. of Urban Eng., N. U. O. H., Kim, J., 현세권, Chae, J. H., & Do, M. S. (2019) · The Journal of The Korea Institute of Intelligent Transport Systems · doi:10.12815/kits.2019.18.6.155 · Cited by 8 · see citing works

HPMC: A Multi-target Tracking Algorithm for the IoT

Lv, X., Lian, X., Tan, L., Song, Y., & Wang, C. (2021) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2021.016450 · Cited by 7 · see citing works

Offboard Machine Learning Through Edge Computing for Robotic Applications

Dimithe, C. O. B., Reid, C., & Samata, B. (2018) · IEEE SoutheastCon · doi:10.1109/secon.2018.8479091 · Cited by 7 · see citing works

Accurate Specified-Pedestrian Tracking from Unmanned Aerial Vehicles

Yang, Z., Huang, Z., Yang, Y., Yang, F., & Yin, Z. (2018) · IEEE International Conference on Communication Technology (ICCT) · doi:10.1109/icct.2018.8600173 · Cited by 7 · see citing works

Detection and Tracking of a Moving Target for UAV Based on Machine Vision

Qi, D., Li, Z., Ren, B., Lei, P., & Yang, X. (2021) · International Conference on Control, Automation and Robotics (ICCAR) · doi:10.1109/iccar52225.2021.9463501 · Cited by 6 · see citing works

Automatic Power Transmission Towers Detection Based on the Deep Learning Algorithm

Mo, Y., Xie, R., Pan, Q., & Zhang, B. (2021) · International Conference on Computer Engineering and Intelligent Control (ICCEIC) · doi:10.1109/icceic54227.2021.00010 · Cited by 6 · see citing works

Experimental Solution for Estimating Pedestrian Locations from UAV Imagery

Kainz, O., Gera, M., Michalko, M., & Jakab, F. (2022) · Applied Sciences · doi:10.3390/app12199485 · Cited by 6 · see citing works

UAV Based Search and Rescue with Honeybee Flight Behavior in Forest

Silvirianti, S., & Shin, S. Y. (2019) · International Conference on Mechatronics and Robotics Engineering (ICMRE) · doi:10.1145/3314493.3314497 · Cited by 5 · see citing works

Airborne Localisation of Small UAS using Visual Detection: A Field Experiment

Laurito, G., Fraser, B., & Rosser, K. (2020) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci47803.2020.9308605 · Cited by 5 · see citing works

UAV Based Vehicle Detection with Synthetic Training: Identification of Performance Factors Using Image Descriptors and Machine Learning

Krump, M., & Stütz, P. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-70740-8_5 · Cited by 5 · see citing works

Research on Detection and Tracking Technology of quad-rotor Aircraft Based on Open Source Flight Control

Cao, M., Chen, W., & Li, Y. (2020) · Chinese Control Conference (CCC) · doi:10.23919/ccc50068.2020.9189366 · Cited by 5 · see citing works

Sea surface ships detection method of UAV based on improved YOLOv3

Xaingfu, Z., Shi, Z., Wu, Z., & Liu, J. (2020) · International Conference on Graphics and Image Processing (ICGIP) · doi:10.1117/12.2557479 · Cited by 5 · see citing works

Aerial Dataset Integration For Vehicle Detection Based on YOLOv4

Omar, W., Oh, Y., Chung, J., & Lee, I. (2021) · National Remote Sensing Bulletin · doi:10.7780/kjrs.2021.37.4.6 · Cited by 5 · see citing works

Compact One-Stage Object Detection Network

Chen, X., Liang, X., & Yang, R. (2020) · IEEE International Conference on Computer Science and Network Technology (ICCSNT) · doi:10.1109/iccsnt50940.2020.9304979 · Cited by 4 · see citing works

Target detection based on DB-YOLO in road environment

Liu, Y., & Hong, W. (2021) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc52312.2021.9602650 · Cited by 4 · see citing works

Drogue Detection and Location for UAV Autonomous Aerial Refueling Based on Deep Learning and Vision

Ruan, W., Wang, H., Kou, Z., & Su, Z. (2018) · IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) · doi:10.1109/gncc42960.2018.9019163 · Cited by 4 · see citing works

Optical multi-band detection of unmanned aerial vehicles with YOLO v4 convolutional neural network

Golyak, I. S., Anfimov, D. R., Fufurin, I. L., Nazolin, A. L., Башкин, С. В., Glushkov, V. V., & Morozov, A. N. (2020) · SPIE Future Sensing Technologies · doi:10.1117/12.2584591 · Cited by 4 · see citing works

UAV-Based Vehicle Detection by Multi-source Images

Jiang, S., Luo, B., Liu, J., Zhang, Y., & Zhang, L. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-7305-2_4 · Cited by 4 · see citing works

Robust real-time pedestrian detection on embedded devices

Afifi, M. S., Ali, Y., Amer, K., Shaker, M., & Elhelw, M. (2021) · International Conference on Machine Vision · doi:10.1117/12.2587097 · Cited by 4 · see citing works

UAV Target-Selection: 3D Pointing Interface System for Large-Scale Environment

Medeiros, A. C. S., Ratsamee, P., Orlosky, J., Uranishi, Y., Higashida, M., & Takemura, H. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561688 · Cited by 4 · see citing works

Research of key technologies for multi‐rotor UAV automatic aerial recovery system

Xing, Z., Zhang, L., & Ai, J. (2022) · Electronics Letters · doi:10.1049/ell2.12438 · Cited by 4 · see citing works

A UAV-Based Machine Vision Algorithm for Industrial Gauge Detecting and Display Reading

Li, C., Zheng, D., Liu, L., & Zheng, X. (2020) · Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) · doi:10.1109/acirs49895.2020.9162618 · Cited by 3 · see citing works

Finetuned YOLOv3 for Getting Four Times the Detection Speed

Liu, X., & Wu, J. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-82153-1_42 · Cited by 3 · see citing works

PINE WILT DISEASE DETECTION IN UAV-CAPTURED IMAGES, 37-43.

Zhou∗, Z., & Yang∗∗, X. (2022) · International Journal of Robotics and Automation · doi:10.2316/j.2022.206-0737 · Cited by 3 · see citing works

Extracting Vehicle Track Information from Unstabilized Drone Aerial Videos Using YOLOv4 Common Object Detector and Computer Vision

Emiyah, C., Nyarko, K., Chavis, C., & Bhuyan, I. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-89880-9_18 · Cited by 2 · see citing works

Automated Cattle Classification and Counting Using Hybridized Mask R-CNN and YOLOv3 Algorithms

Priya, R., Devisurya, V., Anitha, N., Kalaivaani, N., Keerthana, P., & Kumar, E. A. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96308-8_33 · Cited by 2 · see citing works

Faster object detector for drone-captured images

Zhao, L., Zhang, Q., Peng, B., & Liu, Y. (2022) · Journal of Electronic Imaging · doi:10.1117/1.jei.31.4.043033 · Cited by 2 · see citing works

A Study on Pedestrians Tracking using Low Altitude UAV

Seo, C. J. (2018) · The Transactions of The Korean Institute of Electrical Engineers · doi:10.5370/kieep.2018.67.4.227 · Cited by 1 · see citing works

Development of small multi-copter system for indoor collision avoidance flight

Ho, M. J. (2021) · Journal of Aerospace System Engineering · Cited by 1 · see citing works

Recognition Method of Electrical Components Based on Improved YOLOv3

Yan, J., & Hao, Y. (2021) · International Conference on Artificial Intelligence and Information Systems (ICAIIS) · doi:10.1145/3469213.3470349 · Cited by 1 · see citing works

Interface Identification of Automatic Verification System Based on Deep Learning

Zheng, A., Fu, Y., Dong, M., Du, X., Chen, Y., & Huang, J. (2021) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea51954.2021.9516409 · Cited by 1 · see citing works

Real-time Social Distancing Detection Approach Using YOLO and Unmanned Aerial Vehicles

Merizalde, D., & Morillo, P. (2022) · Communications in computer and information science · doi:10.1007/978-3-030-99170-8_9 · Cited by 1 · see citing works

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Terven, J. R., Esparza, D. M. C., & Romero-González, J.-A. (2023) · Machine Learning and Knowledge Extraction · doi:10.3390/make5040083 · Cited by 3,702 · see citing works

YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO

Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492 · see citing works

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

Sapkota, R., Flores-Calero, M., Qureshi, R., Badjugar, C., Nepal, U., Poulose, A., Zeno, P. J., Vaddevolu, U. B. P., Khan, S., Shoman, M., et al. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11253-3 · Cited by 454 · see citing works

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

Telli, K., Kraa, O., Himeur, Y., Ouamane, A., Boumehraz, M., Atalla, S., & Mansoor, W. (2023) · Systems · doi:10.3390/systems11080400 · Cited by 335 · see citing works

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

Ragab, M. G., Abdulkadir, S. J., Muneer, A., Alqushaibi, A., Sumiea, E. H., Qureshi, R., Al-Selwi, S. M., & Alhussian, H. (2024) · IEEE Access · doi:10.1109/access.2024.3386826 · Cited by 306 · see citing works

MFFSODNet: Multiscale Feature Fusion Small Object Detection Network for UAV Aerial Images

Jiang, L., Yuan, B., Du, J., Chen, B., Xie, H., Tian, J., & Yuan, Z. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3381272 · Cited by 161 · see citing works

Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications, and Challenges

Gallagher, J., & Oughton, E. J. (2025) · IEEE Access · doi:10.1109/access.2025.3526458 · Cited by 136 · see citing works

UAV-based studies in railway infrastructure monitoring

Aela, P., Chi, H.-L., Fares, A. I., Zayed, T. M., & Kim, M.-K. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105714 · Cited by 93 · see citing works

In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges

Pal, O. K., Shovon, M. S. H., Mridha, M. F., & Shin, J. (2024) · Discover Artificial Intelligence · doi:10.1007/s44163-024-00209-1 · Cited by 80 · see citing works

YOLO-UAV: Object Detection Method of Unmanned Aerial Vehicle Imagery Based on Efficient Multi-Scale Feature Fusion

Ma, C., Fu, Y., Wang, D., Guo, R., Zhao, X., & Fang, J. (2023) · IEEE Access · doi:10.1109/access.2023.3329713 · Cited by 80 · see citing works

Unmanned aerial systems in search and rescue: A global perspective on current challenges and future applications

Quero, C. A. O., & Martínez-Carranza, J. (2025) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2025.105199 · Cited by 73 · see citing works

Analyzing Real-Time Object Detection with YOLO Algorithm in Automotive Applications: A Review

Gheorghe, C., Duguleană, M., Boboc, R. G., & Postelnicu, C. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2024.054735 · Cited by 84 · see citing works

Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment

Wang, H., Wang, Y., Wang, X., Yin, W.-X., Yu, T., Xue, C.-H., & Wang, A. (2024) · Engineering · doi:10.1016/j.eng.2023.11.020 · Cited by 68 · see citing works

Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks

Moreno, H., Gómez, A., Altares-López, S., Ribeiro, Á., & Andújar, D. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.108324 · Cited by 64 · see citing works

DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images

Wan, Z., Lan, Y., Xu, Z., Shang, K., & Zhang, F. (2025) · Remote Sensing · doi:10.3390/rs17101768 · Cited by 55 · see citing works

Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites

Akinsemoyin, A., Awolusi, I., Chakraborty, D., Al-Bayati, A. J., & Akanmu, A. A. (2023) · Sensors · doi:10.3390/s23156690 · Cited by 50 · see citing works

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Osmani, K., & Schulz, D. (2024) · Sensors · doi:10.3390/s24103064 · Cited by 47 · see citing works

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once SeriesPreprint

Sapkota, R., Qureshi, R., Flores-Calero, M. J., Hussain, M., Badjugar, C., Nepal, U., Poulose, A., Zeno, P. J., Vaddevolu, U. B. P., Yan, H., et al. (2024) · Preprints.org · doi:10.20944/preprints202406.1366.v1 · Cited by 45 · see citing works

Precise extraction of targeted apple tree canopy with YOLO-Fi model for advanced UAV spraying plans

Wei, P., Yan, X., Yan, W., Sun, L., Xu, J., & Yuan, H. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109425 · Cited by 37 · see citing works

Assessing bicycle-vehicle conflicts at urban intersections utilizing a VR integrated simulation approach

Xu, Z., Zheng, N., Logan, D. B., & Vu, H. L. (2023) · Accident Analysis & Prevention · doi:10.1016/j.aap.2023.107194 · Cited by 36 · see citing works

Human Detection From Unmanned Aerial Vehicles’ Images for Search and Rescue Missions: A State-of-the-Art Review

Abdelnabi, A. A. B., & Rabadi, G. (2024) · IEEE Access · doi:10.1109/access.2024.3479988 · Cited by 36 · see citing works

EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

Wu, W., Liu, A., Hu, J., Mo, Y., Xiang, S., Duan, P., & Liang, Q. (2024) · Drones · doi:10.3390/drones8060261 · Cited by 38 · see citing works

YOLO-PowerLite: A Lightweight YOLO Model for Transmission Line Abnormal Target Detection

Liu, C., Wei, S., Zhong, S., & Yu, F. (2024) · IEEE Access · doi:10.1109/access.2024.3434687 · Cited by 34 · see citing works

Comparative Analysis of YOLO Series Algorithms for UAV-Based Highway Distress Inspection: Performance and Application Insights

Yang, Z., Lan, X., & Wang, H. (2025) · Sensors · doi:10.3390/s25051475 · Cited by 34 · see citing works

Digital Twins and Control Theory: A Critical Review on Revolutionizing Quadrotor UAVs

Abro, G. E. M., & Abdallah, A. M. (2024) · IEEE Access · doi:10.1109/access.2024.3376589 · Cited by 33 · see citing works

SSMA-YOLO: A Lightweight YOLO Model with Enhanced Feature Extraction and Fusion Capabilities for Drone-Aerial Ship Image Detection

Han, Y., Guo, J., Yang, H., Guan, R., & Zhang, T. (2024) · Drones · doi:10.3390/drones8040145 · Cited by 33 · see citing works

Low-Cost Lettuce Height Measurement Based on Depth Vision and Lightweight Instance Segmentation Model

Zhao, Y., Zhang, X., Sun, J., Yu, T., Cai, Z., Zhang, Z. L., & Mao, H. (2024) · Agriculture · doi:10.3390/agriculture14091596 · Cited by 31 · see citing works

RFAG-YOLO: A Receptive Field Attention-Guided YOLO Network for Small-Object Detection in UAV Images

Wei, C., & Wang, W. (2025) · Sensors · doi:10.3390/s25072193 · Cited by 31 · see citing works

Using YOLO Object Detection to Identify Hare and Roe Deer in Thermal Aerial Video Footage—Possible Future Applications in Real-Time Automatic Drone Surveillance and Wildlife Monitoring

Povlsen, P., Bruhn, D., Durdevic, P., Ortíz-Arroyo, D., & Pertoldi, C. (2023) · Drones · doi:10.3390/drones8010002 · Cited by 30 · see citing works

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)Preprint

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Lightweight pruning model for road distress detection using unmanned aerial vehicles

Jiang, S., Wang, H. Z., Ning, Z., & Li, S. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105789 · Cited by 27 · see citing works

A Systematic Review of YOLO-Based Object Detection in Medical Imaging: Advances, Challenges, and Future Directions

Cai, Z., Zhou, K.-Q., & Liao, Z. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.067994 · Cited by 38 · see citing works

Dense object detection methods in RAW UAV imagery based on YOLOv8

Wu, Z., Wang, X., Jia, M., Liu, M., Sun, C., Wu, C., & Wang, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-69106-y · Cited by 24 · see citing works

YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles

Weng, S., Wang, H., Wang, J., Xu, C., & Zhang, E. (2025) · Remote Sensing · doi:10.3390/rs17132313 · Cited by 23 · see citing works

Unmanned aerial vehicle payload technology applications in agriculture and other low-altitude scenarios: a review

Yao, W., Liu, C., Liu, Y., Qi, Z., Wang, J. H., Yu, H., Chen, C., & Guo, S. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1721484 · Cited by 22 · see citing works

A2MADA-YOLO: Attention Alignment Multiscale Adversarial Domain Adaptation YOLO for Insulator Defect Detection in Generalized Foggy Scenario

Li, J., Zhou, H., Lv, G., & Chen, J. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3541814 · Cited by 22 · see citing works

Development and evolution of YOLO in object detection: A survey

Tian, Y., Xu, W., Yang, B., Yang, X., Guo, H., Wang, G., & Yu, H. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.132436 · Cited by 27 · see citing works

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)Preprint

Qureshi, R., Ragab, M. G., Abdulkadir, S. J., Muneer, A., ALQUSHAIB, A., Sumiea, E. H., Alhussian, H., & Al-Selwi, S. M. (2023) · doi:10.36227/techrxiv.23681679.v1 · Cited by 24 · see citing works

Empowering the Visually Impaired: YOLOv8-based Object Detection in Android Applications

More, S. S., Patil, N., Lobo, V. B., Shet, N., Goswami, D., & Rane, P. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.01.005 · Cited by 19 · see citing works

ELNet: An Efficient and Lightweight Network for Small Object Detection in UAV Imagery

Li, H., Ma, J., & Zhang, J. (2025) · Remote Sensing · doi:10.3390/rs17122096 · Cited by 19 · see citing works

Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm

Fei, H., Liu, R., Dong, L., Du, Z., Liu, X., Luo, T., & Zhou, J. (2025) · Agriculture · doi:10.3390/agriculture15111156 · Cited by 18 · see citing works

Deformable Convolution-Guided Multiscale Feature Learning and Fusion for UAV Object Detection

Shi, Y. K., Wang, C., Xu, S., Yuan, M., Liu, F., & Zhang, L. (2024) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2024.3362890 · Cited by 18 · see citing works

YOLO in Healthcare: A Comprehensive Review of Detection Architectures, Domain Applications, and Future Innovations

Palaniappan, D., Jain, R., Premavathi, T., Parmar, K. J., Ghribi, W., Ahmed, A. M., & Ahmad, N. (2025) · IEEE Access · doi:10.1109/access.2025.3599358 · Cited by 17 · see citing works

YOLO for Medical Object Detection (2018–2024)

Soni, A., & Rai, A. (2024) · IEEE International Conference on Electrical Power and Energy Systems (ICEPES) · doi:10.1109/icepes60647.2024.10653506 · Cited by 19 · see citing works

A Lightweight Real-Time Infrared Object Detection Model Based on YOLOv8 for Unmanned Aerial Vehicles

Ding, B., Zhang, Y., & Ma, S. (2024) · Drones · doi:10.3390/drones8090479 · Cited by 19 · see citing works

A UAV aerial image small object detection algorithm based on fine-grained feature preservation and multi-scale feature pyramid balancing

Luo, J., Chang, K., Huang, J., Sun, X., & Ji, Y. (2025) · Complex & Intelligent Systems · doi:10.1007/s40747-025-02126-x · Cited by 16 · see citing works

A lightweight UAV target detection algorithm based on improved YOLOv8s model

Ma, F., Zhang, R., Zhu, B., & Yang, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-00341-7 · Cited by 15 · see citing works

The Impact of YOLO Algorithms Within Fall Detection Application: A Review

Khekan, A. R., Aghdasi, H. S., & Salehpour, P. (2024) · IEEE Access · doi:10.1109/access.2024.3496823 · Cited by 15 · see citing works

Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection

Zhao, B., Zhao, J., Song, R., Yu, L., Zhang, X., & Liu, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0321920 · Cited by 14 · see citing works

Mobility challenges and issues in unmanned aerial vehicle (UAV) path planning: A systematic review

Mannan, A., Kahtan, H., Mustafa, M. B., Ahmad, R. B., Abdulhak, M., & Atiquzzaman, M. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111766 · Cited by 14 · see citing works

M-YOLO v8s: Classification and Identification of Different Microalgae Species Based on the Improved YOLO v8s Model for Prevention of Harmful Algal Blooms

Dong, J., Wang, J., Lin, H., & Liu, W. (2024) · ACS ES&T Water · doi:10.1021/acsestwater.4c00853 · Cited by 14 · see citing works

Evaluating the Performance of YOLO Object Detectors for Plant Disease Detection

Natij, Y., Karch, H. E., Maafiri, A., & Mezouari, A. (2024) · International Conference on Wireless Networks and Mobile Communications (WINCOM) · doi:10.1109/wincom62286.2024.10656918 · Cited by 13 · see citing works

An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment

Sun, H., Zheng, Q., Yao, W., Wang, J. H., Liu, C., Yu, H., & Chen, C. (2025) · Agriculture · doi:10.3390/agriculture15090936 · Cited by 12 · see citing works

High-Precision Detection Algorithm for Metal Workpiece Defects Based on Deep Learning

Xu, X., Zhang, G., Zheng, W., Zhao, A., Zhong, Y., & Wang, H. (2023) · Machines · doi:10.3390/machines11080834 · Cited by 12 · see citing works

Intelligent recognition of coal and gas outburst precursor and potential hazards using YOLOv8 neural network

Liu, X., Du, Z., Wang, E., Jiang, A., Tian, H., Wang, K., Xiong, Y., & Wang, H. (2024) · Geomechanics and Geophysics for Geo-Energy and Geo-Resources · doi:10.1007/s40948-024-00837-y · Cited by 12 · see citing works

Dense-stream YOLOv8n: a lightweight framework for real-time crowd monitoring in smart libraries

Chen, Z., Xie, X., Qiu, T., & Yao, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-94659-x · Cited by 12 · see citing works

Relative Localization within a Quadcopter Unmanned Aerial Vehicle Swarm Based on Airborne Monocular Vision

Si, X., Xu, G., Ke, M., Zhang, H., Tong, K., & Qi, F. (2023) · Drones · doi:10.3390/drones7100612 · Cited by 12 · see citing works

Towards Autonomous Powerline Inspection: A Real-Time UAV-Edge Computing Framework for Early Identification of Fire-Related Hazards

Wei, S., Cai, H., Dong, K., Liu, C., Yu, F., & Zhong, S. (2026) · Drones · doi:10.3390/drones10030183 · Cited by 11 · see citing works

Enhancement of Sentinel-2A Images for Ship Detection via Real-ESRGAN Model

Aldoğan, C. F., Aksu, K., & Demi̇rel, H. (2024) · Applied Sciences · doi:10.3390/app142411988 · Cited by 11 · see citing works

The Role of Machine Learning in Enhancing Battery Management for Drone Operations: A Focus on SoH Prediction Using Ensemble Learning Techniques

Çetinus, B., Oyucu, S., Aksöz, A., & Biçer, E. (2024) · Batteries · doi:10.3390/batteries10100371 · Cited by 10 · see citing works

Application of YOLO Algorithm for Intelligent Transportation Systems: A Survey and New Perspectives

Lv, X., Chen, T., Song, C., Yang, C., & Ping, T. (2025) · International Journal of Distributed Sensor Networks · doi:10.1155/dsn/2859040 · Cited by 12 · see citing works

Typical Fault Detection on Drone Images of Transmission Lines Based on Lightweight Structure and Feature-Balanced Network

Han, G., Wang, R., Yuan, Q., Liu, Z., Li, S., Zhang, M., He, M., & Qin, L. (2023) · Drones · doi:10.3390/drones7100638 · Cited by 10 · see citing works

Vehicle Detection in UAV Images via Background Suppression Pyramid Network and Multi-Scale Task Adaptive Decoupled Head

Pan, M., Xia, W., Yu, H., Hu, X., Cai, W., & Shi, J. (2023) · Remote Sensing · doi:10.3390/rs15245698 · Cited by 10 · see citing works

Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue

Surojaya, A., Ning, Z., Bergado, J. R., & Nex, F. (2024) · Electronics · doi:10.3390/electronics13030558 · Cited by 10 · see citing works

Automated Detection and Localization of Wind Turbine Deformations Through YOLO11 and UAV Systems

Bakırcı, M., & Avran, M. N. (2025) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon65166.2025.10986124 · Cited by 8 · see citing works

An optimized YOLO NAS based framework for realtime object detection

Gupta, C., Gill, N. S., Gulia, P., Kumar, A., Karamti, H., & Moges, D. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-17919-w · Cited by 8 · see citing works

Lightweight YOLO-SR: A Method for Small Object Detection in UAV Aerial Images

Liang, S., Feng, X., Xie, M., Tang, Q., Zhu, H., & Li, G. (2025) · Applied Sciences · doi:10.3390/app152413063 · Cited by 9 · see citing works

A Systematic Literature Review of You Only Look Once Architectures (v1–v12) in Healthcare Systems

Şahingöz, Ö. K., Baydoğmus, G. K., & Kugu, E. (2026) · Diagnostics · doi:10.3390/diagnostics16060935 · Cited by 10 · see citing works

UAV measurements and AI-driven algorithms fusion for real estate good governance principles support

Tysiąc, P., Janowski, A., & Walacik, M. (2024) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2024.104229 · Cited by 8 · see citing works

Autonomous UAV Detection of Ochotona curzoniae Burrows with Enhanced YOLOv11

Zhao, H., Jia, L., Wang, Y.-K., & Yan, F. (2025) · Drones · doi:10.3390/drones9050340 · Cited by 7 · see citing works

Geometric Optimisation of Unmanned Aerial Vehicle Trajectories in Uncertain Environments

Jothi, A., Sundarrajan, M., Amutha, S., Dhanaraj, R. K., Khadidos, A. O., Khadidos, A. O., & Selvarajan, S. (2025) · Vehicular Communications · doi:10.1016/j.vehcom.2025.100938 · Cited by 7 · see citing works

A deep learning-based method for marine oil spill detection and its application in UAV imagery

He, L., Zhou, Y., Yang, H., Su, L., & Ma, J. (2025) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2025.118889 · Cited by 7 · see citing works

Remote Sensing through UAVs for precision agriculture: Applications, technical foundations, current barriers, and future opportunities

Mashori, A. S., Li, F., Aman, M., Zhang, W., Jia, S., Ali, A., Jabeen, N., Hao, W., & Yan, Y. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.102074 · Cited by 7 · see citing works

Detection of submarine pipeline and cable targets based on depth feature of high resolution sonar image

Liu, D., Jin, Z., Chen, J., & Xu, Z. (2026) · PLoS ONE · doi:10.1371/journal.pone.0346343 · Cited by 7 · see citing works

Research and Experiment on Miss-Seeding Detection of Potato Planter Based on Improved YOLOv5s

Li, H., Liu, X., Zhang, H., Li, H., Jia, S., Sun, W., Wang, G., Feng, Q., Yang, S., & Xing, W. (2024) · Agriculture · doi:10.3390/agriculture14111905 · Cited by 7 · see citing works

Maize Seed Damage Identification Method Based on Improved YOLOV8n

Yang, S., Wang, B., Ru, S., Yang, R., & Wu, J. (2025) · Agronomy · doi:10.3390/agronomy15030710 · Cited by 6 · see citing works

Improving consistency of marine mammals tracking in challenging drone recordings through visual particle filter integration

Ptak, B., Midtiby, H. S., & Kraft, M. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.130503 · Cited by 7 · see citing works

Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments

Partheepan, S., Sanati, F., & Hassan, J. A. (2025) · IEEE Access · doi:10.1109/access.2025.3577251 · Cited by 6 · see citing works

MBD-YOLO: An Improved Lightweight Multi-Scale Small-Object Detection Model for UAVs Based on YOLOv8

Xu, B., Cai, D., Sui, K., Wang, Z., Liu, C., & Pei, X. (2025) · Applied Sciences · doi:10.3390/app152010877 · Cited by 6 · see citing works

FCB-YOLOv8s-Seg: A Malignant Weed Instance Segmentation Model for Targeted Spraying in Soybean Fields

Yang, Z., Wang, L., Li, C., & Li, H. (2024) · Agriculture · doi:10.3390/agriculture14122357 · Cited by 6 · see citing works

Fast and Precise Detection of Dense Soybean Seedlings Images Based on Airborne Edge Device

Yang, Z., Liu, J., Wang, L., Shi, Y., Cui, G., Ding, L., & Li, H. (2024) · Agriculture · doi:10.3390/agriculture14020208 · Cited by 6 · see citing works

Developing YOLOv5s model with enhancement mechanisms for precision parts with irregular shapes

Dong, L., Zhu, H., Ren, H., Lin, T., & Lin, K.-P. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103257 · Cited by 5 · see citing works

TPS-YOLOv8n: an advanced algorithm for small object detection in complex maritime search and rescue scenarios using unmanned aerial vehicle imagery

Wang, C., Li, L., Lu, K., Wu, Z., Yang, H., & Deng, F. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/ade326 · Cited by 5 · see citing works

Virtual Fencing for Safety-Critical Cyber-Physical Systems: Computer-Vision Enabled Digital Twins

Ardebili, A. A., Zappatore, M. S., Longo, A., & Ficarella, A. (2025) · IEEE Access · doi:10.1109/access.2025.3581041 · Cited by 5 · see citing works

Trajectory Tracking Controller for Quadrotor by Continual Reinforcement Learning in Wind-Disturbed Environment

Liu, Y., Hao, L., Wang, S., & Wang, X. (2025) · Sensors · doi:10.3390/s25164895 · Cited by 5 · see citing works

Autonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D

Wu, Q., Tian, L., Miao, J., Liu, C., Wang, Z., & Zhang, G. (2025) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-6829 · Cited by 5 · see citing works

YOLOv8-licorice: a lightweight salt-resistance detection method for licorice based on seed germination state

Sha, M., Fu, X., Bai, R., Zhong, Z., Jiang, H., Li, F., & Yang, S. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1474321 · Cited by 5 · see citing works

Research on trajectory tracking control method for agricultural robot permanent magnet synchronous motor servo system based on improved EMD threshold wavelet filtering

Shen, B., Pan, J., Dong, N., & Wang, H. (2024) · AIP Advances · doi:10.1063/5.0230187 · Cited by 5 · see citing works

Drone object detection incorporating multi-head mixed self-attention and dynamic regression mapping loss function

Su, Q., Mu, J., Xu, S., Wan, K., Qi, X., Zhang, Z., & Li, J. (2025) · Journal of Real-Time Image Processing · doi:10.1007/s11554-025-01633-x · Cited by 5 · see citing works

Research on Adaptive Weight and Frequency Domain Enhancement Fusion Method for Small Target Detection

Zhao, Y. (2024) · IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE) · doi:10.1109/iceace63551.2024.10898978 · Cited by 5 · see citing works

A Comparative Study of Unauthorized Drone Detection Techniques

Koulouris, C., Piromalis, D. D., Al‐Darraji, I., Tsaramirsis, G., & Tamimi, H. (2023) · International Conference on Information Technology Trends (ITT) · doi:10.1109/itt59889.2023.10184232 · Cited by 5 · see citing works

AeroLight: A Lightweight Architecture with Dynamic Feature Fusion for High-Fidelity Small-Target Detection in Aerial Imagery

Qiu, H., Meng, X., Zhao, Y., Yu, L., & Yin, S. (2025) · Sensors · doi:10.3390/s25175369 · Cited by 4 · see citing works

A Novel Telescopic Aerial Manipulator for Installing and Grasping the Insulator Inspection Robot on Power Lines: Design, Control, and Experiment

Yang, P., Wang, H., Huang, X., Gu, J., Deng, T., & Yuan, Z. (2025) · Drones · doi:10.3390/drones9110741 · Cited by 4 · see citing works

Automated geolocalization of vehicles from UAV footage: evaluating measurement precision of object detection and segmentation methods

Ahmed, M. W., Adnan, M., Ahmed, M., Janssens, D., Wets, G., Ahmed, A., & Ectors, W. (2025) · Applied Geomatics · doi:10.1007/s12518-025-00662-2 · Cited by 4 · see citing works

CECS-CLIP: Fusing Domain Knowledge for Rare Wildlife Detection Model

Yang, F., Hu, C., Liang, A., Wang, S., Su, Y., & Xu, F. (2024) · Animals · doi:10.3390/ani14192909 · Cited by 4 · see citing works

Human Acceptance of Autonomous Mobility: A Literature Review

Hafiz, D. (2024) · International Conference on Unmanned Vehicle Systems-Oman (UVS) · doi:10.1109/uvs59630.2024.10467165 · Cited by 4 · see citing works

Object detection of the bornean orangutan nests using drone and YOLOv5

Teguh, R., Maleh, I. M. D., Sahay, A. S., Pratama, M. P., & Okta, S. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i2.pp1640-1649 · Cited by 4 · see citing works

Using lightweight method to detect landslide from satellite imagery

Dai, J., Dai, X., Zhang, R., Ma, J., Li, W., Lü, H., Li, W., Liang, S., Dai, T., Shan, Y., et al. (2024) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2024.104303 · Cited by 4 · see citing works

A High Accuracy and Large-Scale Detection for Fixed-Wing UAV Autonomous Ground Landing With GNSS-Denied

Fang, B., Zhong, Z., & Jiang, X. (2025) · IEEE Access · doi:10.1109/access.2025.3550127 · Cited by 4 · see citing works

Optimal Flight Speed and Height Parameters for Computer Vision Detection in UAV Search

Lanča, L., Mališa, M., Jakac, K., & Ivić, S. (2025) · Drones · doi:10.3390/drones9090595 · Cited by 4 · see citing works

Enhancing unmanned aerial vehicle capabilities: integrating YOLO algorithms for diverse industrial applications

Guliutin, N., & Antamoshkin, O. A. (2024) · ITM Web of Conferences · doi:10.1051/itmconf/20245903012 · Cited by 2 · see citing works

YOLO series algorithms in object detection of unmanned aerial vehicles: a survey

Li, J., & Abdullah, M. I. (2024) · Service Oriented Computing and Applications · doi:10.1007/s11761-024-00388-w · Cited by 38 · see citing works

Obstacle Detection in Path Planning for Unmanned Aerial Vehicles based on YOLO

Revathi, A. R., Madhuvanthi, T., Addakula, Y., Maurya, A., & Ravi, V. (2024) · International Conference on Communication, Computing and Internet of Things (IC3IoT) · doi:10.1109/ic3iot60841.2024.10550335 · Cited by 3 · see citing works

A Review of YOLO Series Algorithms in Object Detection for UAV Aerial Images

Yan, Y., & Zhang, L. (2025) · International Core Journal of Engineering · doi:10.6919/icje.202509_11(9).0009 · Cited by 2 · see citing works

Improvement and Implementation of UAV Target Detection Algorithm Based on YOLOv10

<p>Chang Cai¹, Y. W. (2025) · Academic Journal of Computing & Information Science · doi:10.25236/ajcis.2025.080709 · Cited by 2 · see citing works