Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control.
- DOI
- 10.3390/s25154699
- Published
- 2025 Jul 30
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s25154699,
title = {Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control.},
author = {Ye H and Tian H and Wu Q and Xue Y and Xiao J and Liu G and Xiong Y},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25154699},
url = {https://doi.org/10.3390/s25154699}
}RIS
TY - JOUR TI - Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control. AU - Ye H AU - Tian H AU - Wu Q AU - Xue Y AU - Xiao J AU - Liu G AU - Xiong Y PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25154699 UR - https://doi.org/10.3390/s25154699 ER -
APA
H, Y., H, T., Q, W., Y, X., J, X., G, L., & Y, X. (2025). Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25154699
Source records
- pubmed · retrieved 2026-09-25T08:27:18.635Z