In this paper, we extend the MT algorithm to solve the MT problem by introducing Laplacian regularization that penalizes the non-smoothness of the predicted ...

To address this problem, we use the Laplacian regularized least square (LapRLS) and we call the proposed algorithm Regularized Motion Tomography. LapRLS is ...

In this paper, we extend the MT algorithm to solve the MT problem by introducing Laplacian regularization that penalizes the non-smoothness of the predicted ...

This paper provides convergence proof of the RMT algorithm in the multiple vehicle formulation. ... Laplacian regularized motion tomography for underwater ...

A Laplacian Regularized Least Square Algorithm for Motion Tomography. Bibliographic Details. Author, Ouerghi, Meriam · Zhang, Fumin · View this author's profile.

A Laplacian regularization is incorporated in the MT cost function to address the limited data and improve the smoothness of the MT flow estimate.

Laplacian regularization enforces smoothness in the spatial distribution of the underwater flow field. The resulted Laplacian regularized motion tomography (RMT) ...

Sep 29, 2022 · The proposed RMT algorithm combines trajectory tracing and flow field estimation to solve the learning problem. In order to compare performance ...

Oct 22, 2024 · Laplacian regularization enforces smoothness in the spatial distribution of the underwater flow field. The resulted Laplacian regularized motion ...

A Laplacian Regularized Least Square Algorithm for Motion Tomography. M Ouerghi, F Zhang. 2021 American Control Conference (ACC), 2017-2022, 2021. 2, 2021.