Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets

Ki-Seok Jung, Dong-Kun Lee

Open source

DOI
10.1016/j.ijnaoe.2025.100648
Published
2025
Container
International Journal of Naval Architecture and Ocean Engineering
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ijnaoe.2025.100648,
  title = {Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets},
  author = {Ki-Seok Jung and Dong-Kun Lee},
  year = {2025},
  journal = {International Journal of Naval Architecture and Ocean Engineering},
  doi = {10.1016/j.ijnaoe.2025.100648},
  url = {https://doi.org/10.1016/j.ijnaoe.2025.100648}
}

RIS

TY  - JOUR
TI  - Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets
AU  - Ki-Seok Jung
AU  - Dong-Kun Lee
PY  - 2025
JO  - International Journal of Naval Architecture and Ocean Engineering
DO  - 10.1016/j.ijnaoe.2025.100648
UR  - https://doi.org/10.1016/j.ijnaoe.2025.100648
ER  - 

APA

Jung, K., & Lee, D. (2025). Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets. International Journal of Naval Architecture and Ocean Engineering. https://doi.org/10.1016/j.ijnaoe.2025.100648

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