The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging
Abstract
The high voltage insulator requires continuous monitoring and inspection to prevent failures and emergencies. Manual inspections are costly as it requires covering a large geographical area where insulators are often subjected to harsh weather conditions. Automatic detection of insulators from aerial images is the first step towards performing real-time classification of insulator conditions using Unmanned Aerial Vehicle (UAV). In this paper, we provide a cost-effective solution for detecting insulators under the conditions of an uncluttered background, varied object resolution and illumination conditions using You Only Look Once (YOLO) deep learning neural network model from aerial images. We apply data augmentation to avoid overfitting with a training set size of 56000 image samples. It is demonstrated experimentally that this method can accurately locate insulator on UAV based real-time image data. The detected insulator images are then successfully subjected to insulator surface condition assessment for the presence of ice, snow and water using different classifiers.
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Cites
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
Tao, X., Zhang, D., Wang, Z., Liu, X., Zhang, H., & Xu, D. (2020) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2018.2871750 · Cited by 776
Nguyen, V. N., Jenssen, R., & Roverso, D. (2018) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.12.016 · Cited by 591
Ling, Z., Qiu, R. C., Jin, Z., Zhang, Y., He, X., Liu, H., & Chu, L. (2019) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2019.00460 · Cited by 103
Power infrastructure monitoring and damage detection using drone captured images
Varghese, A., Gubbi, J., Sharma, H., & Balamuralidhar, P. (2017) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966053 · Cited by 72
ViTBAT: Video tracking and behavior annotation tool
Biresaw, T. A., Nawaz, T. H., Ferryman, J. M., & Dell, A. I. (2016) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2016.7738055 · Cited by 60
The method of insulator recognition based on deep learning
Liu, Y., Yong, J., Liu, L., Zhao, J., & Li, Z. (2016) · International Conference on Applied Robotics for the Power Industry (CARPI) · doi:10.1109/carpi.2016.7745630 · Cited by 36
Defect Detection from UAV Images Based on Region-Based CNNs
Lan, M., Zhang, Y., Zhang, L., & Du, B. (2018) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2018.00063 · Cited by 33
Real‐time segmentation of various insulators using generative adversarial networks
Chang, W., Yang, G., Yu, J., & Liang, Z. (2018) · IET Computer Vision · doi:10.1049/iet-cvi.2017.0591 · Cited by 32
Detection Method of Insulator Based on Single Shot MultiBox Detector
Xu, C., Bo, B., Liu, Y., & Tao, F. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1069/1/012183 · Cited by 15
Cited by
YOLO-Based UAV Technology: A Review of the Research and Its Applications
Chen, C., Zheng, Z., Xu, T., Guo, S., Feng, S., Yao, W., & Lan, Y. (2023) · Drones · doi:10.3390/drones7030190 · Cited by 223
Xu, Z., Li, J., & Zhang, M. (2021) · IEEE Access · doi:10.1109/access.2021.3077499 · Cited by 79
YOLOdrive: A Lightweight Autonomous Driving Single-Stage Target Detection Approach
Wang, L., Hua, S., Zhang, C., Yang, G., Ren, J., & Li, J. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3439863 · Cited by 14
Metadata
- Authors
- Sadykova, D., Pernebayeva, D., Bagheri, M., & James, A.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 2020-06
- Volume
- 35
- Issue
- 3
- Pages
- 1599-1601
- ISSN
- 0885-8977 (ISSN-L)
- 1937-4208
- OpenAlex
- W2977798290
- Cited by
- 308
- References
- 11
- FWCI
- 15.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sadykova, D., Pernebayeva, D., Bagheri, M., & James, A. (2020). IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2019.2944741
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