Отрывок: et al. Компьютерная оптика, 2023, том 47, №5 DOI: 10.18287/2412-6179-CO-1257 791 common problem in object detection is that the training dataset is too small, which leads to poor network detec- tion capability after training. Data augmentation is an ef- fective method to increase the quantity and diversity of limited data. It extracts more useful information from limited data and generates the value of more data. There- fore, when the training sample size is limited, data expan- ...
Название : Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7
Авторы/Редакторы : Chang, R.
Mao, Z.X.
Hu, J.
Bai, H.C.
Zhou, C.J.
Yang, Y.
Gao, S.
Ключевые слова : Object-Detection
Multi-UAV
YOLOv7
Transmission-lines
Дата публикации : Сен-2023
Издательство : Самарский национальный исследовательский университет
Библиографическое описание : Chang R, Mao ZX, Hu J, Bai HC, Zhou CJ, Yang Y, Gao S. Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7. Computer Optics 2023; 47(5): 788-794. DOI: 10.18287/2412-6179-CO-1257.
Серия/номер : 47;5
Аннотация : The unique plateau geographical features and variable weather of Yunnan, China make transmission lines in this region more susceptible to coverage and damage by various foreign bodies compared to flat areas. The mountainous terrain also presents great challenges for inspecting and removing such objects. In order to improve the efficiency and detection accuracy of foreign body inspection of transmission lines, we propose a multi-UAV collaborative system specifically designed for the geographical characteristics of Yunnan's transmission lines in this paper. Additionally, the image data of foreign bodies was augmented, and the YOLOv7 target detection model, which offers a more balanced trade-off between precision and speed, was adopted to improve the accuracy and speed of foreign body detection.
URI (Унифицированный идентификатор ресурса) : https://dx.doi.org/10.18287/2412-6179-CO-1257
http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Research-on-foreign-body-detection-in-transmission-lines-based-on-a-multiUAV-cooperative-system-and-YOLOv7-109028
Другие идентификаторы : Dspace\SGAU\20240315\109028
Располагается в коллекциях: Журнал "Компьютерная оптика"

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