Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T22:11:25.049Z