[HTML][HTML] Phase-resolved real-time ocean wave prediction with quantified uncertainty based on variational Bayesian machine learning
Phase-resolved wave prediction is of vital importance for the real-time control of wave
energy converters. In this paper, a novel wave prediction method is proposed, which, to the …
energy converters. In this paper, a novel wave prediction method is proposed, which, to the …
Real-time phase-resolved ocean wave prediction in directional wave fields: Enhanced algorithm and experimental validation
This paper details a comprehensive study of deterministic real-time wave forecasting in
directional seas. By using wave models on the basis of a Lagrangian description, a good …
directional seas. By using wave models on the basis of a Lagrangian description, a good …
[HTML][HTML] A real-time wave prediction in directional wave fields: Strategies for accurate continuous prediction in time
Previous research on real-time deterministic sea wave prediction has generally focused on
evaluating the accuracy and efficiency of short-term wave fields within a specific prediction …
evaluating the accuracy and efficiency of short-term wave fields within a specific prediction …
[HTML][HTML] Vessel hydrodynamic model tuning by discrete Bayesian updating using simulated onboard sensor data
Vessel and wave hydrodynamics are fundamental for vessel motion prediction. Improving
hydrodynamic model accuracy without compromising computational efficiency has always …
hydrodynamic model accuracy without compromising computational efficiency has always …
DXQ-Net: Differentiable lidar-camera extrinsic calibration using quality-aware flow
Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems
in mobile robots. Most calibration methods rely on laborious manual operations and …
in mobile robots. Most calibration methods rely on laborious manual operations and …
Experimental and numerical assessment of deterministic nonlinear ocean waves prediction algorithms using non-uniformly sampled wave gauges
We assess the capability of fast wave models to deterministically predict nonlinear ocean
surface waves from non-uniformly distributed data such as sampled from an optical ocean …
surface waves from non-uniformly distributed data such as sampled from an optical ocean …
Flash Lidar sensor using fiber-coupled APDs
G Zhou, X Zhou, J Yang, Y Tao, X Nong… - IEEE sensors …, 2015 - ieeexplore.ieee.org
In contrast to scanning light detection and ranging (Lidar) system, the flash Lidar has no
mechanical moving errors, and its features include light weight, small volume, and energy …
mechanical moving errors, and its features include light weight, small volume, and energy …
[HTML][HTML] Rapid deterministic wave prediction using a sparse array of buoys
A long-standing problem in maritime operations and ocean development projects has been
the prediction of instantaneous wave energy. Wave measurements collected using an array …
the prediction of instantaneous wave energy. Wave measurements collected using an array …
Phase-resolved ocean wave forecast with ensemble-based data assimilation
Through ensemble-based data assimilation, we address one of the most notorious
difficulties in phase-resolved ocean wave forecast, regarding the deviation of numerical …
difficulties in phase-resolved ocean wave forecast, regarding the deviation of numerical …
A Robust LiDAR-Camera Self-Calibration Via Rotation-Based Alignment and Multi-Level Cost Volume
Multi-sensor collaborative perception has been a significant trend in self-driving and robot
navigation. The precondition for multi-sensor fusion is the accurate calibration between …
navigation. The precondition for multi-sensor fusion is the accurate calibration between …