Object Detection Algorithm Based on Improved YOLOv5 for Basketball Robot-Reference-Cited by-同舟云学术

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Object Detection Algorithm Based on Improved YOLOv5 for Basketball Robot

Published:2022 Issue: Volume: Page:49-63
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Liu Ruizhe,Wang Haikuan,Zhang Shuo,Chen Chen

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6226-4_7

Reference27 articles.

1. Tzafestas, S.G.: Mobile robot control and navigation: a global overview. J. Intell. Robot. Syst. 91(1), 35–58 (2018). https://doi.org/10.1007/s10846-018-0805-9

2. Xingchen, L., Zhong, M.: Hardware design of basketball robot based on flyback topology and verilog HDL. J. Phys. Conf. Ser. 1345, 052025 (2019). https://doi.org/10.1088/1742-6596/1345/5/052025

3. Xu, T., Tang, L.: Adoption of machine learning algorithm-based intelligent basketball training robot in athlete injury prevention. Front. Neurorobot. 14, 620378 (2021). https://doi.org/10.3389/fnbot.2020.620378

4. Mu, J., Li, Y.: A new efficient real-time arbitrary colored ball recognition method for a humanoid soccer robot. In: 2016 12th World Congress on Intelligent Control and Automation (WCICA), pp. 494–499. IEEE (2016). https://doi.org/10.1109/WCICA.2016.7578389

5. Zhang, H., Lu, H., Dong, P., Xiong, D., Zheng, Z.: A novel generic ball recognition algorithm based on omnidirectional vision for soccer robots. Int. J. Adv. Rob. Syst. 10(11), 388 (2013). https://doi.org/10.5772/57251

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1. Realization of Embedded Basketball Video Target Tracking Algorithm Based on DSP-FPGA;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

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