Article
Chemistry, Analytical
Michael Bekele Maru, Donghwan Lee, Kassahun Demissie Tola, Seunghee Park
Summary: This study compared the performance of optical sensors (depth camera and terrestrial laser scanner) in estimating structural deflection. Bilateral filtering techniques were used to enhance the accuracy of point cloud data and increase the prospects of sensor application in structural health monitoring. Results showed that data obtained from TLS were better than those obtained from DC.
Article
Construction & Building Technology
Mert Oytun, Guzide Atasoy
Summary: This study investigates the measurement accuracy of TLS in crack analysis for different building materials and proposes boundary ranges for different scan settings. The findings provide practical contributions to the use of TLS for crack identification.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Forestry
Timo P. Pitkanen, Tuula Piri, Aleksi Lehtonen, Mikko Peltoniemi
Summary: The study demonstrated the applicability of TLS point cloud data in detecting structural differences between healthy and diseased trees infected by Heterobasidion annosum. Diseased trees were found to have a more swollen butt and point accumulations at greater heights, but there was no statistically significant difference in crown occupancy compared to healthy trees. Up to 85% classification accuracy of the infection status was achieved based on the calculated features.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Construction & Building Technology
Sangwook Park, Jong Won Ma
Summary: This study presents a model for structural monitoring of building structures using Terrestrial Laser Scanning (TLS). The model includes data collection, processing, and structural assessment phases, and utilizes voxel-based data processing approach with polynomial regression to estimate structural responses. The results show that the model has reasonable accuracy, particularly at higher drift levels.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Sciences
Lidu Zhao, Xiaping Ma, Zhongfu Xiang, Shuangcheng Zhang, Chuan Hu, Yin Zhou, Guicheng Chen
Summary: The extraction of landslide deformation using terrestrial laser scanning has many important applications. This study proposes a method to extract landslide deformations from TLS data by eliminating edge drift and using weighted least squares regularization solution. Experimental results show that the proposed method outperforms existing methods in landslide deformation extraction.
Article
Forestry
Cornelis Stal, Jeffrey Verbeurgt, Lars De Sloover, Alain De Wulf
Summary: Sustainable forest management depends on accurate estimation of tree parameters, particularly the DBH for volume and mass extraction. This study showed that HMTLS is a useful alternative technique for precisely and efficiently calculating DBH, with comparable parameters to STLS and ALS data sets but significantly reduced acquisition time.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Michalina Wojtkowska, Michal Kedzierski, Paulina Delis
Summary: This study discusses the use of artificial neural networks and point clouds to calculate displacements of cultural heritage structures. The model trained on a laboratory dataset was able to determine displacements of the building facade with a relative accuracy of 3% and a success rate of 85%. Deformations derived from digital surface models generated from point clouds had a relative accuracy of 7%, while values determined by image-based close-range photogrammetry methods were 35%. An innovative aspect is the use of neural networks to determine deformations based on sub-models generated from the point cloud, along with a supervised-trained high accuracy predictive model. The practical significance lies in creating an end-to-end solution that can automatically detect and estimate the value of deformation, providing a major advantage over other methods.
Article
Geochemistry & Geophysics
Yuanzhi Cai, Lei Fan, Peter M. Atkinson, Cheng Zhang
Summary: This research proposes a novel image enhancement method to reveal the local geometric characteristics of point cloud data in images. The method explores various feature channel combinations and achieves improved semantic segmentation accuracy. Experimental results on the Semantic3D benchmark demonstrate the superiority of this image-based approach.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Review
Environmental Sciences
Tasiyiwa Priscilla Muumbe, Jussi Baade, Jenia Singh, Christiane Schmullius, Christian Thau
Summary: Savannas are diverse ecosystems with complex vegetation, conventional methods may underestimate carbon storage potential. TLS technology shows promise in accurate vegetation parameter extraction, future research should focus on algorithm development and improvement.
Article
Engineering, Civil
Hyungjoon Seo
Summary: This paper used terrestrial laser scanning to monitor the global behavior of a large retaining structure and found a significant increase in differential tilt angles at the bottom of concrete panels adjacent to the tunnel every year. The differential tilt angle of one concrete panel with large differences affects the tilt angles of others, as they are linked together.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Engineering, Environmental
David Clemens -Sewall, Matthew Parno, Don Perovich, Chris Polashenski, Ian A. Raphael
Summary: The study introduces FlakeOut, a filter designed specifically to filter wind-blown snowflakes from TLS data, with a low false positive rate making it suitable for applications requiring quantitative measurements of the snow surface.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2022)
Article
Remote Sensing
Maolin Chen, Long Xiao, Zehui Jin, Jianping Pan, Fengyun Mu, Feifei Tang
Summary: Terrestrial laser scanning (TLS) is utilized in forest inventory, but it requires registering multiple scans into a uniform coordinate system. This study proposes a registration method for forest TLS data using a smartphone to obtain auxiliary information. The method measures the scanner position and initial scanning direction using a smartphone and uses them to calculate coarse transformation parameters. Fine registration is conducted by constructing transformation parameters based on the coarse registration result and evaluating them using stem positions as input.
REMOTE SENSING LETTERS
(2023)
Article
Biochemical Research Methods
Yanlong Miao, Liuyang Wang, Cheng Peng, Han Li, Xiuhua Li, Man Zhang
Summary: A fast measurement method for banana plant count, pseudo-stem diameter, and height based on terrestrial laser scanning (TLS) was proposed. The method involves obtaining three-dimensional (3D) point cloud data through TLS, preprocessing the data, segmenting the canopy closed banana plant point cloud, counting the number of pseudo-stems, and measuring the diameter and height of the pseudo-stems. The results showed high accuracy and recall rates compared to manual measurements, indicating that the method is suitable for field measurement of banana plantation management.
Article
Geography, Physical
Xufei Wang, Zexin Yang, Xiaojun Cheng, Jantien Stoter, Wenbing Xu, Zhenlun Wu, Liangliang Nan
Summary: In this research, an automatic, robust, and efficient method for registering forest point clouds is proposed. The approach locates tree stems and matches them based on their relative spatial relationship to determine the registration transformation. The algorithm requires no extra tree attributes and can align point clouds of large forest environments. Additionally, a new benchmark dataset is introduced for the development and evaluation of forest point cloud registration methods.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Chemistry, Analytical
Hyungjoon Seo, Yang Zhao, Cheng Chen
Summary: Point clouds obtained by laser scanning of various retaining structures were analyzed for displacement calculations based on local roughness and global curvature. Different methods (C2C, C2M, M3C2) were used to calculate displacement and analyze errors, with M3C2 method showing the lowest error and presenting optimized parameters for displacement analysis.
Article
Architecture
Debra F. Laefer, Zohreh Zahiri, Aoife Gowen
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2020)
Article
Construction & Building Technology
Mohammad E. Shemshadian, Jia-Liang Le, Arturo E. Schultz, Patrick McGetrick, Salam Al-Sabah, Debra F. Laefer, Anthony Martin, Linh Truong Hong, Minh Phuoc Huynh
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2019)
Article
Construction & Building Technology
James O'Donnell, Linh Truong-Hong, Niamh Boyle, Edward Corry, Jun Cao, Debra F. Laefer
AUTOMATION IN CONSTRUCTION
(2019)
Article
Construction & Building Technology
Patrick J. McGetrick, Pantelis Matis, Tony Martin, Desmond Robinson, Debra F. Laefer, Salam Al-Sabah, Linh Truong-Hong, Minh Phuoc Huynh, Arturo E. Schultz, Jia-Liang Le, Mohammad E. Shemshadian, Ramzi Labbane
Summary: This paper presents the collaborative tripartite project between the USA, Republic of Ireland, and Northern Ireland to develop a new class of steel connections that allow for fast disassembly and material reuse. By utilizing advanced cutting technologies, the research aims to revolutionize the steel construction industry. The paper outlines the ongoing research work, including design, fabrication, analysis, and testing of the connections.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
(2022)
Review
Environmental Sciences
Maria Rashidi, Masoud Mohammadi, Saba Sadeghlou Kivi, Mohammad Mehdi Abdolvand, Linh Truong-Hong, Bijan Samali
Article
Environmental Sciences
Yufu Zang, Fancong Meng, Roderik Lindenbergh, Linh Truong-Hong, Bijun Li
Summary: This paper presents a novel deep neural network-based localization method in urban environment, divided into place recognition and pose refinement. By extracting cylinder-like features to describe global features, estimating similarities using a probabilistic framework, and utilizing CNN for pose refinement, the system successfully achieves accurate localization in urban scenes.
Article
Construction & Building Technology
Linh Truong-Hong, Roderik Lindenbergh, Thu Anh Nguyen
Summary: This study aims to provide insight into errors in various steps of deformation estimation based on TLS point clouds. The research investigates point cloud registration errors, appropriate segmentation methods, determining reference surfaces, and minimizing the impact of outliers and noisy data on deformation estimation. The findings suggest the use of specific methods for extracting data points from surfaces and determining reference surfaces based on design concepts or specifications is crucial for accurate deformation estimation.
INTERNATIONAL JOURNAL OF BUILDING PATHOLOGY AND ADAPTATION
(2022)
Article
Engineering, Civil
Harith Aljumaily, Debra F. Laefer, Dolores Cuadra, Manuel Velasco
Summary: The proposed voxel change algorithm utilizes big data programming model MapReduce to accurately detect changes in urban aerial LiDAR scans. By mapping neighboring points into cubes and classifying them into categories, this algorithm quantifies changes in building, ground, and vegetation areas, achieving high quality metrics for both rectilinear and nonrectilinear features.
JOURNAL OF SURVEYING ENGINEERING
(2021)
Article
Environmental Sciences
Anh Vu Vo, Debra E. Laefer, Jonathan Byrne
Summary: This paper introduces an approach utilizing genetic algorithm and beam tracing algorithm to optimize urban aerial laser scanning tasks. The method aims to maximize vertical data capture through a low-density point cloud representation of the urban scene, and achieves fast and scalable results with a dual parallel computing framework and two layers of parallelization.
Article
Physics, Multidisciplinary
Philipp Epple, Gitanjali Thakur, Debra F. Laefer
Summary: This study explores the underperformance of roof-integrated wind turbines (RIWTs) and proposes a solution to optimize their placement using terrestrial laser scanning-based models for complex structures, improving cost recovery predictions.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2022)
Article
Computer Science, Artificial Intelligence
Anh Vu Vo, Michela Bertolotto, Ulrich Ofterdinger, Debra F. Laefer
Summary: Street view imagery databases, such as Google Street View, Mapillary, and Karta View, coupled with computer vision algorithms, can be used to analyze urban environments at scale. This paper investigates the use of street view imagery data to identify building features indicating vulnerability to flooding, such as basements and semi-basements. It discusses building features, data sources, computer vision algorithms, and methods for reconstructing geometry representations from images. Preliminary experiments using Mapillary images confirm their usability for detecting basement features and geolocating them.
KUNSTLICHE INTELLIGENZ
(2023)
Article
Chemistry, Analytical
Siyuan Chen, Xiangding Zeng, Debra F. Laefer, Linh Truong-Hong, Eleni Mangina
Summary: Imagery from Unmanned Aerial Vehicles (UAVs) can generate 3D point cloud models, but the final data quality is influenced by various factors, such as flight altitude, camera angle, overlap rate, and data processing strategies. A set of seven metrics was proposed to analyze the relationship between input resources and output quality, including total points, average point density, uniformity, yield rate, coverage, geometry accuracy, and time efficiency. The study found that UAV altitude and camera angle had the strongest impact on data density and uniformity, and a 66% overlapping rate was needed for successful 3D reconstruction.
Article
Education & Educational Research
Harith Aljumaily, Dolores Cuadra, Debra F. Laefer
COMPUTER SCIENCE EDUCATION
(2019)
Proceedings Paper
Acoustics
Abdelouahab Rezaiguia, Oussama Zerti, Salah Guenfoud, Debra F. Laefer
ADVANCES IN ACOUSTICS AND VIBRATION II (ICAV2018)
(2019)
Article
Materials Science, Characterization & Testing
Bin Ma, Qingzhao Kong, Yewei Ding, Lin Chen, Weihang Gao
Summary: This study proposes an end-to-end damage detection framework that integrates emphasized channel attention, propagation, and aggregation-time-delay neural network (ECAPA-TDNN) with percussion techniques. The framework effectively detects internal damage within timber structures and distinguishes between different sizes of damage.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Zhiyuan Zhao, Lishuai Liu, Wen Liu, Da Teng, Yanxun Xiang, Fu-Zhen Xuan
Summary: The total focusing method (TFM) is a standard technique in ultrasonic phased array imaging and plays a crucial role in industrial non-destructive testing (NDT). This paper presents an improved TFM approach by formulating its imaging principle as a Boolean matrix and establishing a discretized tensor-based model. By employing sparse regularization strategy and a non-negative constraint solution algorithm, the proposed approach demonstrates superior capabilities in defect characterization and noise suppression compared to the traditional TFM.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Dongsoo Lee, Jung-Doung Yu, Seokgyu Jeong, Geunwoo Park, Jong-Sub Lee
Summary: This study suggests a more accurate method for evaluating the integrity of drilled shafts using electromagnetic waves propagating through transmission lines. The experimental results show that the location and size of sound and defect segments can be more clearly identified with the use of connectors on the transmission line.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Lu-Nan Dai, Chen-Yin Ni, Kai-Ning Ying, Ling Yuan, Zhi Yang, Wei-Wei Kan, Zhong-Hua Shen
Summary: A laser ultrasonics based frequency domain synthetic aperture focusing technology has been developed for imaging internal horizontal hole defects in bimetallic composites with a diameter of approximately 1.0 mm. The results show that this technology can improve imaging quality and locating capability, with a low testing error.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guillermo Cosarinsky, Jorge F. Cruza, Mario Munoz, Jorge Camacho
Summary: This study develops an ultrasound imaging method for industrial and structural components, which can automatically detect the surface and estimate the probe position and orientation. By fitting the parametric models based on measured surface echoes, the method achieves the measurement of surface echoes and estimation of probe position and orientation. Validation experiments show that this method can accurately detect defects in the component under different probe positions and orientations.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
L. Gahleitner, G. Thummerer, G. Mayr, G. Mayr, P. Burgholzer, U. Cakmak
Summary: This study presents a one-dimensional photothermal method using the virtual wave concept to estimate subsurface interface parameters and demonstrates its application in layered materials. Experimental results validate the accurate estimation of interfacial parameters for the analyzed samples.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Pengxiang Ji, Yiming Jiang, Ruobing Zhao, Jing Zou
Summary: Computed laminography (CL) is a non-destructive imaging technique for plate-like samples that has challenges in exact reconstruction. Fusion laminography (FL) combines Fourier information from CL and CT to achieve precise reconstruction, showing superiority in artifact removal and edge preservation, particularly for irregular sample structures.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guangzhi Chen, Odile Abraham, Damien Pageot, Olivier Durand, Mathieu Chekroun, Vincent Tournat
Summary: This paper investigates the application of Nonlinear Coda Wave Interferometry (NCWI) method in evaluating the nonlinear interface areas in highly heterogeneous materials. An experimental protocol is proposed and validated through numerical simulation and experimental results. The findings demonstrate that NCWI can be used to quantitatively analyze the nonlinear interface effects in complex media.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Ronghua Xu, Raul Enrique Beltran-Gutierrez, Max Kaeding, Alexander Lange, Steffen Marx, Joern Ostermann
Summary: This study compares the signal response of four different couplant materials in acoustic emission analysis and ultrasonic testing, and analyzes their impact on the signal response of a piezoelectric sensor. The results indicate that acrylic adhesive pads and hot glue demonstrate more reliable signal transmission in certain frequency ranges, while honey and vaseline perform better in other frequency ranges. Acrylic adhesive pads and honey are considered the preferred couplant materials.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Yong-Ho Kim, Jung-Ryul Lee
Summary: An artificial intelligence system for phased-array ultrasonic testing (PAUT) was developed in this study using a newly configured training dataset and neural network. Three experiments were conducted to verify its performance, showing improved classification accuracy of signals and successful data evaluation, benefiting the PAUT experts.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shaun Mcknight, S. Gareth Pierce, Ehsan Mohseni, Christopher Mackinnon, Charles Macleod, Tom 'Hare, Charalampos Loukas
Summary: This work proposes four synthetic data generation methods to address the issue of limited training data in Non-Destructive Ultrasonic Testing. Experimental results demonstrate that these methods significantly improve the classification performance of real experimental images.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Xintao Xu, Zhixuan Chang, Eryong Wu, Shiwei Wu, Jian Chen, Keji Yang, Haoran Jin
Summary: This paper proposes a novel nozzle-side inspection method based on the data fusion of multi-view plane wave imaging (PWI) for ultrasonic non-destructive testing of nozzle-to-pipe welds. Experiments demonstrate the capability of sensitivity mappings to optimize the inspection configuration and serve as filters to fuse multi-view images. The proposed method enables accurate defect characterization and detection of slag, cracks, and lack of penetration in nozzle specimens.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Kai Wang, Zechen Luo, Shuang Xu, Wenxin Lai, Ruiqi Guan, Qijian Liu, Menglong Liu, Jing Rao, Xinlin Qing
Summary: In this study, an analytical framework is proposed to interpret the formation of defect-induced LDR in multilayered structures. By analyzing the reflections of Lamb waves at defect boundaries and obtaining the phase shift of reflected waves, the relationship between LDR frequency components and defect size is determined. Experimental validations are performed to improve the precision of defect characterization using LDR.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shijie Jin, Chengjun Di, Jiakai Su, Siqi Shi, Zhongbing Luo
Summary: This paper proposes a mirrored composite-mode total focusing method (CTFM) for the quantitative detection and profile characterization of priori unknown irregular planar defects. Multiple views and normalization are used to achieve accurate imaging results.
NDT & E INTERNATIONAL
(2024)
