Cargando…

Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid

This paper presents a novel algorithm for detecting pavement cracks from mobile laser scanning (MLS) data. The algorithm losslessly transforms MLS data into a regular grid structure to adopt the proven image-based methods of crack extraction. To address the problem of lacking topology, this study as...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhong, Mianqing, Sui, Lichun, Wang, Zhihua, Hu, Dongming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436242/ https://www.ncbi.nlm.nih.gov/pubmed/32731556 http://dx.doi.org/10.3390/s20154198

Ejemplares similares

Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis
por: Zheng, Yi, et al.
Publicado: (2018)

Active solution of homography for pavement crack recovery with four laser lines
por: Xu, Guan, et al.
Publicado: (2018)

Registration of Laser Scanning Point Clouds: A Review
por: Cheng, Liang, et al.
Publicado: (2018)

Automatic extraction and measurement of individual trees from mobile laser scanning point clouds of forests
por: Bienert, Anne, et al.
Publicado: (2021)

Adaptive Road Crack Detection System by Pavement Classification
por: Gavilán, Miguel, et al.
Publicado: (2011)

SUT-Crack: A comprehensive dataset for pavement crack detection across all methods
por: Sabouri, Mohammadreza, et al.
Publicado: (2023)

Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review
por: Che, Erzhuo, et al.
Publicado: (2019)

Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning
por: Zhou, Yuhui, et al.
Publicado: (2017)

Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
por: Shen, Yueqian, et al.
Publicado: (2016)

Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture
por: Fan, Zhun, et al.
Publicado: (2020)

A Pavement Crack Detection Method Based on Multiscale Attention and HFS
por: Li, Chun, et al.
Publicado: (2022)

Pavement crack analysis by referring to historical crack data based on multi-scale localization
por: Wang, Xianglong, et al.
Publicado: (2020)

Novel Adaptive Laser Scanning Method for Point Clouds of Free-Form Objects
por: Zang, Yufu, et al.
Publicado: (2018)

Laser Scanning on Road Pavements: A New Approach for Characterizing Surface Texture
por: Bitelli, Gabriele, et al.
Publicado: (2012)

Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds
por: Tran, Thi Huong Giang, et al.
Publicado: (2018)

Fatigue Resistance and Cracking Mechanism of Semi-Flexible Pavement Mixture
por: Wang, Shiqi, et al.
Publicado: (2021)

Probabilistic analysis and simulation of crack propagation in concrete pavements and surfaces
por: Leblouba, Moussa, et al.
Publicado: (2022)

Can Clouds Replace Grids? Will Clouds Replace Grids?
por: Shiers, J
Publicado: (2009)

Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion
por: Sun, Zhaoyun, et al.
Publicado: (2023)

Grid and Cloud
por: Jones, Bob
Publicado: (2014)

Grid and Cloud
por: JONES, Bob
Publicado: (2014)

Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images
por: Kang, Zhizhong, et al.
Publicado: (2009)

Entropy-Based Registration of Point Clouds Using Terrestrial Laser Scanning and Smartphone GPS
por: Chen, Maolin, et al.
Publicado: (2017)

An Improvement in the Identification of the Centres of Checkerboard Targets in Point Clouds Using Terrestrial Laser Scanning
por: Fryskowska, Anna
Publicado: (2019)

8th RILEM International Conference on Mechanisms of Cracking and Debonding in Pavements
por: Chabot, Armelle, et al.
Publicado: (2016)

Influence of Geocomposite Properties on the Crack Propagation and Interlayer Bonding of Asphalt Pavements
por: Spadoni, Sara, et al.
Publicado: (2021)

Pavement Cracks Segmentation Algorithm Based on Conditional Generative Adversarial Network
por: Kang, Jie, et al.
Publicado: (2022)

Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks
por: Rönnholm, Petri, et al.
Publicado: (2009)

Automatic Extraction of Tunnel Lining Cross-Sections from Terrestrial Laser Scanning Point Clouds
por: Cheng, Yun-Jian, et al.
Publicado: (2016)

New Target for Accurate Terrestrial Laser Scanning and Unmanned Aerial Vehicle Point Cloud Registration
por: Urbančič, Tilen, et al.
Publicado: (2019)

Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds†
por: Yan, Li, et al.
Publicado: (2016)

Computing on the grid and in the cloud
por: Field, Laurence
Publicado: (2014)

Computing on the grid and in the cloud
por: Rama Ballesteros, Rocio
Publicado: (2015)

From Grids to Clouds
por: Fisk, Ian
Publicado: (2017)

Investigation of transverse crack spacing in an asphalt pavement with a semi-rigid base
por: Chen, Jiangcai, et al.
Publicado: (2022)

Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing
por: Li, Zhongbo, et al.
Publicado: (2023)

Mobile Robot Localization and Mapping Algorithm Based on the Fusion of Image and Laser Point Cloud
por: Dai, Jun, et al.
Publicado: (2022)

The Influence of the Grid Density of Measurement Points on Damage Detection in an Isotropic Plate by the Use of Elastic Waves and Laser Scanning Doppler Vibrometry
por: Doliński, Łukasz, et al.
Publicado: (2021)

Predicting Tree Species From 3D Laser Scanning Point Clouds Using Deep Learning
por: Seidel, Dominik, et al.
Publicado: (2021)

Terrain Point Cloud Assisted GB-InSAR Slope and Pavement Deformation Differentiate Method in an Open-Pit Mine
por: Zheng, Xiangtian, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_sq93tj0u07fr1gmiitp6r40irj