Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models.
- DOI
- 10.3390/s25051365
- Published
- 2025 Feb 23
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s25051365,
title = {Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models.},
author = {Jurkus R and Venskus J and Markevičiūtė J and Treigys P},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25051365},
url = {https://doi.org/10.3390/s25051365}
}RIS
TY - JOUR TI - Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models. AU - Jurkus R AU - Venskus J AU - Markevičiūtė J AU - Treigys P PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25051365 UR - https://doi.org/10.3390/s25051365 ER -
APA
R, J., J, V., J, M., & P, T. (2025). Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25051365
Source records
- pubmed · retrieved 2026-09-26T17:41:16.932Z