YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking

Author:

Mastrofini Marco,Goracci Gilberto,Agostinelli Ivan,Curti Fabio

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Darknet for yolo v3/v4 networks. https://github.com/AlexeyAB/darknet, accessed: 2022-04-01

2. Space debris and human spacecraft. https://www.nasa.gov/mission_pages/station/news/orbital_debris.html, accessed: 2022-01-10

3. Bobrovsky, A., Galeeva, M., Morozov, A., Pavlov, V., Tsytsulin, A.: Automatic detection of objects on star sky images by using the convolutional neural network. In: Journal of Physics: Conference Series, vol. 1236, p. 012066. IOP Publishing (2019)

4. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)

5. Farissi, M.S., Agostinelli, I., Mastrofini, M., Curti, F., Marzo, C., Facchinetti, C., Ansalone, L.: Hardware implementation of the spot payload for orbiting objects detection using star sensors. In: 72th International Astronautical Congress (IAC), 25–29 Oct. 2021 (2021)

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