Multi-frame transformation with variance component estimation

Y Hu, X Fang, W Zeng, H Kutterer - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The modern global navigation satellite system (GNSS) technique is one of the most effective
geoscience and remote sensing tool to observe crustal motions and quantify plate tectonics …

A novel robust point cloud fitting algorithm based on nonlinear Gauss–Helmert model

B Wang, Z Zhao, Y Chen, J Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Point cloud fitting plays an important role in various applications of laser scanning
technology. Currently, the most dominant algorithms are the linear least-squares (LS) …

On the total least median of squares adjustment for the pattern recognition in point clouds

X Fang, W Zeng, Y Zhou, B Wang - Measurement, 2020 - Elsevier
Robust estimation techniques are an important tool in the adjustment of geodetic data, as
even a single undetected gross error can render parameters estimates meaningless. In this …

Center strategies for universal transformations: modified iteration policy and two alternative models

Y Hu, X Fang, H Kutterer - GPS Solutions, 2023 - Springer
Although centralized coordinates are applied in geodetic coordinate transformations
implicitly or explicitly, the centering strategy has not been comprehensively investigated from …

Linear estimation under the Gauss–Helmert model: geometrical interpretation and general solution

Y Hu, X Fang - Journal of Geodesy, 2023 - Springer
Although the least-squares (LS) adjustment within the Gauss–Markoff model (GMM) and the
model with condition equations as dual problem have been geometrically interpreted, no …

A precise visual localisation method for the Chinese Chang'e‐4 Yutu‐2 rover

YQ Ma, SC Liu, B Sima, B Wen… - The Photogrammetric …, 2020 - Wiley Online Library
Precise localisation of the Yutu‐2 moon rover plays an important role in path planning,
obstacle avoidance and navigating to target features. To provide high‐precision localisation …

An advanced outlier detected total least-squares algorithm for 3-D point clouds registration

J Yu, Y Lin, B Wang, Q Ye, J Cai - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The registration of 3-D point clouds is an important procedure during the terrestrial laser
scanning data processing. Recently, due to their high flexibility and the powerful …

A generalized weighted total least squares-based, iterative solution to the estimation of 3D similarity transformation parameters

Y Wang, K Yuan, N Zheng, Z Bian, M Yang - Measurement, 2023 - Elsevier
The essence of point cloud registration is to estimate the seven similarity transformation
parameters of the Bursa-Wolf model which describes the relative position of the two …

An improved point-to-plane registration method for terrestrial laser scanning data

W Tao, X Hua, K Yu, X He, X Chen - IEEE access, 2018 - ieeexplore.ieee.org
Registration of point clouds is vital in point cloud data processing. By registering, the point
cloud data from different views are transformed into a common coordinate system. In the …

Efficient and robust solution to universal symmetric transformation for 3-D point sets

B Wang, J Yu, Y Chen, Z Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the 3-D symmetric transformation, which can simultaneously consider the
measurement errors of the source and target coordinates, has become a hot research topic …