Author:
Aote Shailendra S.,Wankhade Nisha,Pardhi Aniket,Misra Nidhi,Agrawal Harsh,Potnurwar Archana
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference35 articles.
1. Sommer, L., Schumann, A., Müller, T., Schuchert, T. and Beyerer, J.: Flying object detection for automatic UAV recognition. In: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1–6 (2017). doi: https://doi.org/10.1109/AVSS.2017.80785
2. Redmon, J., Farhadi, A.: YOLO9000: Better, Faster, Stronger, arXiv:1612.08242, (2016)
3. Nepal, U., Eslamiat, H.: Comparing YOLOv3, YOLOv4 and YOLOv5 for autonomous landing spot detection in faulty UAVs. Sensors 22(2), 464 (2022)
4. Bochkovskiy, A., Yao, C., Hong-Yuan, W., Liao, M.: YOLOv4: optimal speed and accuracy of object detection.arXiv:2004.10934, (2020)
5. Yao, G., Sun, Y., Wong, M., Lv, X.: A real-time detection method for concrete surface cracks based on improved YOLOv4. Symmetry 13(9), 1716 (2021). https://doi.org/10.3390/sym13091716
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献