Open Access
| Issue |
ITM Web Conf.
Volume 82, 2026
International Conference on NextGen Engineering Technologies and Applications for Sustainable Development (ICNEXTS’25)
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|
|---|---|---|
| Article Number | 03018 | |
| Number of page(s) | 9 | |
| Section | Information and Technology | |
| DOI | https://doi.org/10.1051/itmconf/20268203018 | |
| Published online | 04 February 2026 | |
- W.T. Wong, S.K. Phang, Studies on techniques to improve YOLO in fault detection using RGB images of solar panels, in Proc. Int. Conf. Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia (2024), 164–168. https://doi.org/10.1109/GECOST60902.2024.10474793 [Google Scholar]
- J. Heichel, R. Mitra, F. Jafari, A. Das, S. Dorafshan, N. Kaabouch, A system for real-time display and interactive training of predictive structural defect models deployed on UAV, in Proc. Int. Conf. Unmanned Aircraft Systems (ICUAS), Warsaw, Poland (2023), 1221–1225. https://doi.org/10.1109/ICUAS57906.2023.10156415 [Google Scholar]
- K.-C. Liao, J. Lau, Y.-C. Hsu, T.-L. Chuang, H.-T. Wen, Core ML-based aircraft skin damage detection system using YOLO11, in Proc. Int. Conf. Control and Robotics (ICCR), Yokohama, Japan (2024), pp. 355–360. https://doi.org/10.1109/ICCR64365.2024.10927553 [Google Scholar]
- Y. Xu, et al., An improved YOLOX autonomous UAV-based system for monitoring photovoltaic panel failures, in Proc. Int. Conf. Frontiers Technology of Information and Computer (ICFTIC), Qiangdao, China, 330–350 (2023). https://doi.org/10.1109/ICFTIC59930.2023.10456038 [Google Scholar]
- R. Li, W. Yin, P. Wang, S. Wang, Y. Gao, Artificial intelligence patrol system for transmission line UAV based on ultraviolet discharge, in Proc. Int. Conf. Information Systems and Computer Aided Education (ICISCAE), Dalian, China, pp. 652–656 (2023). https://doi.org/10.1109/ICISCAE59047.2023.10392364 [Google Scholar]
- J. Yan, T. Li, Y. Liu, Z. Zhao, X. Zhan, X. Yu, Work on systematic O&M of distribution network via UAV intelligent inspection, in Proc. Int. Conf. Energy Systems and Electrical Power (ICESEP), Wuhan, China, 1250–1254 (2025). https://doi.org/10.1109/ICESEP66633.2025.11155372 [Google Scholar]
- P. Soubrier, R. Muszyński, N. Van Den Bossche, H. Luong, M. Vlaminck, Automated inspection of heritage sites: UAV RGB and hyperspectral photogrammetry applied to Castle of Horst, in Proc. Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Helsinki,Finland, 1-5, (2024).https://doi.org/10.1109/WHISPERS65427.2024.10876505 [Google Scholar]
- W. Jing, et al., BT-YOLO: improved YOLOv5 based on BiFormer structure and task-specific decoupled head for photovoltaic infrared defect detection on UAV scenarios, in Proc. Int. Conf. Mobility, Sensing and Networking (MSN), Harbin, China, 673–680 (2024). https://doi.org/10.1109/MSN63567.2024.00096 [Google Scholar]
- J. Zhao, R. Zhang, S. Chen, Y. Duan, Z. Wang, Q. Li, Enhanced infrared defect detection for UAVs using wavelet-based image processing and channel attention-integrated SSD model, IEEE Access 12, 188787–188796 (2024). https://doi.org/10.1109/ACCESS.2024.3516080 [Google Scholar]
- S. Yu, J. Bi, R. Guan, K. Liu, Work on infrared hot spot detection algorithm of photovoltaic module based on faster region-based convolutional neural network, in Proc. Int. Conf. Electrical Technology and Automatic Control (ICETAC), Nanjing, China, 43–147 (2025). https://doi.org/10.1109/ICETAC65964.2025.11144273 [Google Scholar]
- W. Shi, Y. Cheng, C. Han, D. Wang, Y. Gao, Intelligent infrared thermometer of transmission line UAV based on multi-sensor cooperative detection, in Proc. Int. Conf. Advances in Electrical Engineering and Computer Applications (AEECA), Dalian,China (2023), pp. 604–608. https://doi.org/10.1109/AEECA59734.2023.00113 [Google Scholar]
- Z. Su, K. Zhao, Z. Fan, X. Guo, RTPV-YOLO: real-time photovoltaic detection with UAV-based thermal and RGB imaging, IEEE Trans. Aerosp. Electron. Syst. (2025). https://doi.org/10.1109/TAES.2025.3580391 [Google Scholar]
- F.H. Dahri, A. Ali, M.Y. Koondhar, G.E.M. Abro, Integrating UAV-acquired data augmentation and deep learning for solar panel defect detection, in Proc. IEEE Int. Conf. Engineering Technologies and Applied Sciences (ICETAS), Bahrain, 1–6 (2024). https://doi.org/10.1109/ICETAS62372.2024.11119882 [Google Scholar]
- A.R. Majid Ali Al Risi, F.H. Khamis Al-Zaabi, A.M. Salim Al Washahi, R.K. Mohammed Al-Maaini, M.K. Boddu, Advancing solar PV component inspection: early defect detection with UAV-based thermal imaging and machine learning, in Proc. Middle East and North Africa Solar Conf. (MENA-SC), Dubai, United Arab Emirates, pp. 1–3 (2023). https://doi.org/10.1109/MENA-SC54044.2023.10374464 [Google Scholar]
- L. Zhang, X. Wu, Z. Liu, P. Yu, M. Yang, ESD-YOLOv8: an efficient solar cell fault detection model based on YOLOv8, IEEE Access 12, 138801–138815 (2024). https://doi.org/10.1109/ACCESS.2024.3466209 [Google Scholar]
- V. Lofstad-Lie, A. Simonsen, T.F. Nygaard, E.S. Marstein, Data quality analyses for automatic aerial thermography inspection of PV power plants, IEEE J. Photovolt. 15(5), 722–731 (2025). https://doi.org/10.1109/JPHOTOV.2025.3587297 [Google Scholar]
- Z. Li, Z. Chen, W. Wu, B. Chen, T. Han, R. Wang, Work and implementation of UAV partial discharge detection technology based on acoustic array, in Proc. Int. Symp. Computer Technology and Information Science (ISCTIS), Chengdu, China, 108–113 (2023). https://doi.org/10.1109/ISCTIS58954.2023.10213181 [Google Scholar]
- W. Wendong, Z. Xiaobin, Q. Ping, L. Jiefeng, C. Haitao, Work on real-time image data transmission system of UAV in fault location of distribution network, in Proc. IEEE Int. Conf. Sensors, Electronics and Computer Engineering (ICSECE), Jinzhou, China, 1825–1829 (2024). https://doi.org/10.1109/ICSECE61636.2024.10729288 [Google Scholar]
- R. Usamentiaga, Semiautonomous pipeline inspection using infrared thermography and unmanned aerial vehicles, IEEE Trans. Ind. Inform. 20(2), 2540–2550 (2024). https://doi.org/10.1109/TII.2023.3295409 [Google Scholar]
- W. Tang, Q. Yang, X. Hu, W. Yan, Edge intelligence for smart EL images defects detection of PV plants in the IoT-based inspection system, IEEE Internet Things J. 10(4), 3047–3056 (2023). https://doi.org/10.1109/JIOT.2022.3150298 [Google Scholar]
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