- [1] Russell, S.; Norvig, P. “A Modern Approach”; Artif. Intell. 1995, 25. https://doi.org/10.1142/S0219843620500164.
- [2] Sonka, M.; Hlavac, V.; Boyle, R. “Image Processing, Analysis, and Machine Vision”; Cengage Learning, 2014.
- [3] Hu, Y.; Wu, X.; Zheng, G.; Liu, X. “Obect Detection of UAV for Anti-UAV Based on Improved YOLO v3”; Chin. Control Conf. 2019, 8386-8390. https://doi.org/23919/ ChiCC .2019.8865525.
- [4] Kharchenko, V.; Chyrka, I. “Detection of Airplanes on The Ground Using YOLO Neural Network”; 17th IEEE Int. Conf. Math. Methods. Theory. 2018, 294-297. https://doi.org/10.1109/MMET.2018.8460392.
- [5] Saqib, M.; Khan, S. D.; Sharma, N.; Blumenstein, M. “A Study on Detecting Drones Using Deep Convolutional Neural Networks”; 14th IEEE Int. Conf. Adv. Video. Signal Based Surveill. 2017, 1-5. https://doi.org/10.1109/ AVSS. 20178078541.
- [6] Aker, C.; Kalkan, S. “Using Deep Networks for Drone Detection”; 14th IEEE Int. Conf. Adv. Video. Signal Based Surveill. 2017, 1-6. https://doi.org/1109/ AVSS.2017. 8078539.
- [7] Lee, D.; La, W. G.; Kim, H. “Drone Detection and Identification System Using Artificial Intelligence”; Int. Conf. Inf. Commun. Syst. 2018, 1131-1133. https://doi.org/1109/ICTC.2018.8539442.
- [8] Schumann, A.; Sommer, L.; Klatte, .; Schuchert, T.; Beyerer, . “Deep Cross-Domain Flying Obect Classification for Robust UAV Detection”; 14th IEEE Int. Conf. Adv. Video. Signal Based Surveill. 2017, 1-6. https://doi.org/ 1109/AVSS.2017.8078558.
- [9] Unlu, E.; Zenou, E.; Riviere, N.; Dupouy, P.-E. “Deep Learning-Based Strategies for the Detection and Tracking of Drones Using Several Cameras”; IPS Trans. Comput. Vis. 2019,11,1-13. https://doi.org/10.1186/s41074-019-0059.
- [10] Xun, D. T. W.; Lim, Y. L.; Srigrarom, S. “Drone Detection Using YOLOv3 with Transfer Learning on NVIDIA etson TX2”; 2th Symp. Instrum. Control. Artif. Intell. Robot. 2021, 1-6. https://doi.org/10.1109/ICA-SYMP50206.2021. 9358449.
- [11] Amil, S.; Abbas, M. S.; Roy, A. M. “Distinguishing Malicious Drones Using Vision Transformer”; Artif. Intell. 2022, 3, 260-273. https://doi.org/10.3390/ai3020016.
- [12] Upadhyay, M.; Murthy, K.; Ra, A. B. “Intelligent System for Real Time Detection and Classification of Aerial Targets Using CNN”; 5th Int. Conf. Intell. Comput. Inf. Control. Syst. 2021, 1676-1681. https://doi.org/10.1109/ICICCS 51141.2021.9432136.
- [13] Samadzadegan, F.; Dadrass avan, ; Ashtari Mahini, F.; Gholamshahi, M. “Detection and Recognition of Drones Based on a Deep Convolutional Neural Network Using Visible Imagery”; IEEE Trans. Aerosp. Electron. Syst. 2022, 9, 31. https://doi.org/10.3390/aerospace9010031.
- [14] Sharma, A.; Ain, N.; Kothari, M. “Lightweight Multi-Drone Detection and 3D-Localization via YOLO”; ArXiv.org. 2022, 09097. doi.org/10.48550/arXiv.2202.09097
- [15] Sun, H.; Yang, j.; Shen, j.; Liang, D.; Ning-Zhong, L.; Zhou, H. “TIB-Net: Drone Detection Network with Tiny Iterative Backbone”; IEEE Access. 2020, 8, 130697-130707. https://doi.org/1109/ACCESS.2020.3009518.
- [16] Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F. “Fault-Tolerant Cooperative Navigation of Networked UAV Swarms for Forest Fire Monitoring”; Aerosp. Sci. Technol. 2022,123,107494. https://doi.org/10.1016/j.ast.2022.107494.
- [17] Vourtsis, C.; Rochel, V. C.; Serrano, F. R.; Stewart, W.; Floreano, D. “Insect Inspired Self-Righting for Fixed-Wing Drones”; IEEE Robot. Autom. Lett. 2021, 6, 6805-6812. https://doi.org/1109/LRA.2021.3096159.
- [18] Dietterich, T. G. “Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms”; Neural Comput. 1998, 10, 1895-1923 https://doi.org/ 10.1162/089976698300017197.
- [19] Vostrikov, A.; Chernyshev, S. “Training Sample Generation Software”; Intell. Decis. Technol. 2019, 145-151. https://doi.org/10.1007/978-981-13-8303-8_13.
- [20] Redmon, J.; Farhadi, A. “YOLO9000: Better, Faster, Stronger”; IEEE Conf. CVPR. 2017, 7263-7271 https://doi.org/10.48550/arXiv.1804.02767.
- [21] Redmon, J.; Farhadi, A. “Yolov3: An Incremental Improvement”; ArXiv.org. 2018, 1804-2767. https://doi.org/ 10,48550. /arXiv.180402768.
- [22] Bochkovskiy, A.; Wang, C.-Y.; Liao, H.-Y. M. “Yolov4: Optimal Speed and Accuracy of Object Detection”; ArXiv.org. 2020, 10934. https://doi.org/45550/arXiv. 200410934.
- [23] Jocher,G. et al. "NanoCode012, C. A., “Ultralytics/yolov5: v5. YOLOv5 - 1280 Models , AWS, Supervise.ly and YouTube integrations”; Zenodo 2021, 0-6. https://doi.org/ 1109/78.134446.
- [24] Leung, H.; Haykin, S. “The Complex Backpropagation Algorithm”; IEEE Trans. Signal Process. 1991, 39, 2101-2104. https://doi.org/1109/78.134446.
- [25] Falahat, S.; Karami, A. “Maize Tassel Detection and Counting Using Deep Learning Techniques”; J. Agric. Mach. 2022, 2228-6829. https://doi.org/1109/78.134446
- [26] Zhou, F.; Zhao, H.; Nie, Z. “Safety Helmet Detection Based on YOLOv5”; IEEE Int. Conf. Power Electron. Control. Autom. 2021, 6-11. https://doi.org/1109/ICPECA51329. 2021.9362711.
- [27] Bottou, L.; Bousquet, O. “The Tradeoffs of Large Scale Learning”; Adv. Neural Inf. Process. Syst. 2007, 20.
- [28] Padilla, R.; Netto, S. L.; Da Silva, E. A. “A Survey on Performance Metrics for Object-Detection Algorithms”; IEEE Int. Conf. Systs. Signal. Image Process. 2020, 237-242. https://doi.org/1109/IWSSIP48289.2020.9145130.
- [29] Reddy, A.; Indragandhi, V.; Ravi, L.; Subramaniyaswamy, V. “Detection of Cracks and Damage in Wind Turbine Blades Using Artificial Intelligence-Based Image Analytics”; Meas. 2019, 147, 106823. https://doi.org/ 10.1016/j.measurement.2019.07.051.
- [30] Bai, L.; Lyu, Y.; Huang, X. “Roadnet-rt: High Throughput CNN Architecture and SOC Design for Real-Time Road Segmentation”; IEEE Trans. Circuits Syst. I, Reg. Papers. 2020, 68, 704-714. https://doi.org/1109/TCSI.2020. 3038139.
- [31] Deng, W.; Mou, Y.; Kashiwa, T.; Escalera, S.; Nagai, K.; Nakayama, K.; Matsuo, Y.; Prendinger, H. “Vision Based Pixel-Level Bridge Structural Damage Detection Using a Link ASPP Network”; Autom. Constr. 2020, 110, 102973. https://doi.org/10.1016/j.autcon.2019.102973.
- [32] Nath, N. D.; Behzadan, A. H.; Paal, S. G. “Deep Learning for Site Safety: Real-Time Detection of Personal Protective Equipment”; Autom. Constr. 2020, 112, 103085. https:// doi.org/10.1016/j.autcon.2020.103085.
- [33] Nalamati, M.; Kapoor, A.; Saqib, M.; Sharma, N.; Blumenstein, M. “Drone Detection in Long-Range Surveillance Videos”; 16th IEEE Int. Conf. Adv. Video. Signal Based Surveill. 2019, 1-6. https://doi.org/1109/ AVSS.2019.8909830.
- [34] Peng, J.; Zheng, C.; Lv, P.; Cui, T.; Cheng, Y.; Lingyu, S. “Using Images Rendered by PBRT to Train Faster R-CNN for UAV Detection”; Comput. Sci. Res. Notes 2018, 13-18. http://hdl.handle.net/11025/34647.
|