Synthetic 6-DOF USV Motion Dataset
收藏Zenodo2026-02-06 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18508860
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资源简介:
This repository contains the synthetic 6-degree-of-freedom (6-DOF) vessel motion dataset used in the study:
Epistemic Uncertainty in Short-Horizon Ship Motion Prediction for USVs
This dataset contains the physical specifications, hydrodynamic modeling parameters, and experimental configuration for a small-scale displacement-type Unmanned Surface Vessel (USV). The platform is specifically engineered for high-fidelity maritime research, focusing on active stabilization and predictive digital twin methodologies.
Vessel Specifications
The USV's mass properties and dimensions are defined within a specific mesh reference frame to support numerical replication.
Principal Dimensions
Length Overall (LOA): 1.650 m
Length Between Perpendiculars (LPP/LWL): 1.439 m
Beam (BOA/BWL): 0.800 m
Depth: 0.400 m
Draft: 0.153 m
Mass & Inertial Properties
Displacement: 127.9 kg (Freshwater, $\rho$ = 999 kg/m³)
Center of Gravity (LCG, TCG, VCG): [0.690 m, 0.000 m, 0.047 m]
Radii of Gyration (kxx, kyy, kzz): [0.296 m, 0.389 m, 0.389 m]
Dataset Structure
The dataset consists of frequency-domain hydrodynamic simulations generated using HydroSTAR and post-processed into time-domain motion sequences for machine learning experiments. The full dataset comprises 6,552 simulation cases spanning a structured grid of environmental and operational parameters:
Significant wave height (Hs): 0.25–2.0 m
Peak wave period (Tp): 1.5–6.0 s
Wave encounter direction (β): 0°–180°
Vessel forward speed (U): 0–0.6 m/s
Each simulation has a duration of 10 minutes with a time step of 0.05 s and contains 6-DOF vessel motions.
Files are organized into folders according to vessel forward speed. Each filename encodes the corresponding sea-state parameters. For example:
SS845_Hs2p00_Tp2p00_Beta180_U0p6mps_series.csv
where:
Hs2p00 → significant wave height = 2.00 m
Tp2p00 → peak period = 2.00 s
Beta180 → wave encounter direction = 180°
U0p6mps → forward speed = 0.6 m/s
Each CSV file contains time-series data for 6-DOF vessel motions processed for supervised learning.
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Zenodo创建时间:
2026-02-06



