Cargando…
LiDAR Point Cloud Data Combined Structural Analysis Based on Strong Form Meshless Method Using Essential Boundary Condition Capturing
This study proposes a novel hybrid simulation technique for analyzing structural deformation and stress using light detection and ranging (LiDAR)-scanned point cloud data (PCD) and polynomial regression processing. The method estimates the edge and corner points of the deformed structure from the PC...
Autores principales: | Seo, Kyung-Wan, Yoon, Young-Cheol, Lee, Sang-Ho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346733/ https://www.ncbi.nlm.nih.gov/pubmed/37447913 http://dx.doi.org/10.3390/s23136063 |
Ejemplares similares
-
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
por: Sobczak, Łukasz, et al.
Publicado: (2021) -
Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation
por: Bohak, Ciril, et al.
Publicado: (2020) -
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
por: Liu, Haojie, et al.
Publicado: (2020) -
Deep Learning for LiDAR Point Cloud Classification in Remote Sensing
por: Diab, Ahmed, et al.
Publicado: (2022) -
LiDAR Point Cloud Recognition of Overhead Catenary System with Deep Learning
por: Lin, Shuai, et al.
Publicado: (2020)