Article
Engineering, Electrical & Electronic
Rahma Nawab, Angela Davies Allen
Summary: The goal of this study was to create and demonstrate a system for fast and inexpensive quality dimensional inspection in industrial assembly line applications, with submillimeter uncertainty. This was achieved by using an open-source photogrammetry architecture to gather point cloud data of an assembled part, and comparing it to a CAD model using the iterative closest point (ICP) algorithm to quantify position errors. Augmented reality was utilized to view and display the errors in real time.
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
Environmental Sciences
Ebadat Ghanbari Parmehr, Marco Amati
Summary: The study compares point clouds produced by UAV-photogrammetry and -LiDAR in an urban park, along with estimated tree canopy parameters. Results show a high correlation between UAV-photogrammetry and -LiDAR point clouds, with R-2 values exceeding 99.54%, and the estimated tree canopy parameters showing correlations above 95%.
Article
Transportation Science & Technology
Pawel Burdziakowski, Cezary Specht, Andrzej Stateczny, Mariusz Specht, Pawel S. Dabrowski, Oktawia Lewicka
Summary: Technical diagnostics allows for the assessment and prediction of the technical condition of a railway line and its infrastructure, including the periodic monitoring of rail position and geometry. This article presents a new framework for setting out a railway track axis using point cloud data from photogrammetry collected by a small unmanned aerial vehicle (UAV). The accuracy achieved in the horizontal plane is 1.6 cm, making it suitable for technical track monitoring, geoinformation, and cartographic work.
INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION
(2022)
Article
Geosciences, Multidisciplinary
Muhammad Mukhlisin, Hany Windri Astuti, Rini Kusumawardani, Eni Dwi Wardihani, Bambang Supriyo
Summary: This study utilizes UAV to analyze ground displacement in the landslide area of conservational forest in Semarang, Indonesia. The study finds two areas with ground displacements and concludes that UAV is applicable in photogrammetry for analyzing ground displacement. The procedures in this study can be used for monitoring a landslide area with rapid results and a low-cost budget.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Chemistry, Multidisciplinary
Alexandre Almeida Del Savio, Ana Luna Torres, Miguel Angel Chicchon Apaza, Monica Alejandra Vergara Olivera, Sara Rocio Llimpe Rojas, Gianella Tania Urday Ibarra, Jose Luis Reyes Nique, Rolando Issac Macedo Arevalo
Summary: This study successfully integrated a LiDAR sensor system on UAV to collect and process topographic data, proposing a procedure for obtaining georeferenced point clouds according to user needs. Measurement tests were conducted to demonstrate system accuracy, with comparison results highlighting advantages over photogrammetric surveys.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Ludovit Kovanic, Branislav Topitzer, Patrik Petovsky, Peter Blistan, Marcela Bindzarova Gergelova, Monika Blistanova
Summary: Using unmanned aerial vehicles (UAVs) combined with various sensors allows for fast, automatic, and contactless collection of spatial data with high resolution and accuracy. The most common application is the creation of spatial models based on photogrammetric and lidar data. This review analyzes the current possibilities of UAVs and provides an overview of their history, development, classification, regulation, and application in surveying.
APPLIED SCIENCES-BASEL
(2023)
Article
Ecology
M. Bossoukpe, E. Faye, O. Ndiaye, S. Diatta, O. Diatta, A. A. Diouf, M. Dendoncker, M. H. Assouma, S. Taugourdeau
Summary: This study successfully evaluated tree characteristics in the savanna using commercial economical UAVs, finding a strong correlation between UAV and field measurements, and the potential to predict tree species with a 20% error rate through random forest classification.
JOURNAL OF ARID ENVIRONMENTS
(2021)
Article
Environmental Sciences
Xiangxiong Kong
Summary: This study introduces a novel cliff monitoring methodology that does not rely on georeferencing efforts, producing reliable monitoring results by processing 3D point clouds and aligning them using a rigid registration protocol. Experimental findings demonstrate the efficiency of this approach in small-scale experiments and full-scale field validation, highlighting its significance for underserved coastal communities.
Article
Computer Science, Artificial Intelligence
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
Summary: This paper introduces SensatUrban, an urban-scale UAV photogrammetry point cloud dataset consisting of nearly three billion points collected from three UK cities, covering 7.6 km(2). It also provides fine-grained semantic annotations for each point in the dataset, making it three times larger than the previous largest photogrammetric point cloud dataset.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Article
Chemistry, Multidisciplinary
Michal Palcak, Pavol Kudela, Miriam Fandakova, Juraj Kordek
Summary: This article examines the application of digitization technologies in cultural heritage preservation, with a focus on the role of historical building information models in digitization projects. It presents best practices and provides useful suggestions for practitioners and stakeholders.
APPLIED SCIENCES-BASEL
(2022)
Article
Remote Sensing
Zaide Duran, Kubra Ozcan, Muhammed Enes Atik
Summary: This study classified point clouds obtained by aerial photogrammetry and LiDAR technology from the same region using nine popular machine learning methods. The results showed that the Multilayer Perceptron method achieved the highest accuracy, while the AdaBoost method had the lowest accuracy.
Article
Medicine, Legal
Rafael Rodrigues Cunha, Claude Thiago Arrabal, Marcelo Mourao Dantas, Helio Rodrigues Bassaneli
Summary: This study evaluated the accuracy of 3D models generated by a DJI Mavic Pro drone and a Trimble X7 laser scanner, showing that drone photogrammetry produced highly accurate data at distances of 20 m and 40 m in an outdoor area simulating a crime scene. The results were statistically analyzed and compared with the laser scanner data, with no significant differences observed in the evaluated methods.
FORENSIC SCIENCE INTERNATIONAL
(2022)
Article
Engineering, Multidisciplinary
Ismail Elkhrachy
Summary: This study aimed to produce accurate geospatial 3D data from UAV images. The solution generated met the 2015 ASPRS accuracy standards, with horizontal RMSE values of 4-6 cm and vertical accuracy of 5-6 cm, which were twice and three times the Ground Sample Distance (GSD), respectively.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Geography, Physical
Jakub Vynikal, David Zahradnik
Summary: This paper presents a novel approach of documenting interiors of new building constructions using spherical photogrammetry. The main advantages of this method are its low cost and speed, while the disadvantages include dependence on light and texture conditions and the need for specific precautions to achieve accuracy.
PHOTOGRAMMETRIC RECORD
(2023)
Article
Environmental Sciences
L'ubomir Ksenak, Katarina Pukanska, Karol Bartos, Peter Blistan
Summary: Mapping watercourses and their surroundings through remote sensing methods is an effective way to capture change and predict hazards. This paper explores the use of SAR technology and optical multispectral images for long-term observations of river behavior and mapping changes in watercourses. The results show that SAR extraction using VV polarisation configuration and a Lee filter for noise filtering is accurate, and the comparison with spectral indices and supervised classification further validates the method. The overall accuracy achieved is high, with maximum values of 98.6% for OA.
Article
Environmental Sciences
Alena Paulikova, Jana Chovancova, Jarmila Blahova
Summary: This article aims to analyze the requirements and documented information of ISO 14001 and ISO 45001 management system standards through content analysis and clustering methods. The results of the analysis can assist managers in the integrated implementation of these management systems and provide auditors with recommendations for improvement.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Sherien Abd-Elziz, Martina Zelenakova, Branislav Krsak, Hany F. Abd-Elhamid
Summary: Shortage of surface water is a global problem that has affected countries with rivers, including Egypt. Irrigation Canals Rehabilitation using concrete has been implemented in Egypt to preserve surface water. The study shows that this technique can reduce losses in canals, lower the groundwater table, and potentially impact groundwater recharge.
Article
Green & Sustainable Science & Technology
Lubomir Strba, Jana Kolackovska, Branislav Krsak, Csaba Sidor, Marian Lukac
Summary: This study investigates the perceived positive and negative impacts of tourism within protected areas in Slovakia, as well as the major issues affecting sustainable tourism development in these areas. The results indicate that the most significant impacts of tourism include increased waste production, the need for local education about natural and cultural heritage, visitor education, conflict of interest in using natural resources, and destruction of natural habitats. However, current Slovak legislation restricts the development of nature-based tourism in protected areas.
Article
Chemistry, Analytical
Jacek Baranczuk, Martina Zelenakova, Hany F. Abd-Elhamid, Katarzyna Baranczuk, Salem S. Gharbia, Peter Blistan, Cecil J. W. Meulenberg, Peter Kumer, Wlodzimierz Golus, Maciej Markowski
Summary: The authors compared data from two different types of rainfall sensors and found that actual precipitation is higher and strongly correlated with climatic precipitation (r = 0.99). Using the introduced coefficient, it is possible to determine the full-year actual precipitation with high probability, which is of great importance in the calculation of the water balance.
Article
Chemistry, Multidisciplinary
Marian Marcis, Marek Frastia, Lidovit Kovanic, Peter Blistan
Summary: The results of this study can provide guidance for selecting a reliable camera network when using structure from motion photogrammetry to document cultural heritage objects. Structure from motion photogrammetry is commonly used for archaeological site documentation. The study examined the changes in the geometry of point clouds obtained with different camera network configurations during the digitization of Saint James's Chapel in Bratislava. The analysis compared the photogrammetric variants with terrestrial laser scanning. The findings caution against sacrificing image recording efficiency, as insufficient connections between image blocks can significantly reduce relative accuracy below 1:1000.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Studies
Marcela Bindzarova Gergelova, Ludovit Kovanic, Hany F. Abd-Elhamid, Anton Cornak, Miroslav Garaj, Radovan Hilbert
Summary: This study evaluates landscape changes caused by flood events in a specific territory in Eastern Slovakia by using statistical methods and GIS spatial analysis tools. The results highlight the significance of the year 2010, which experienced an extreme flood event. Changes in land cover classes, particularly in the pasture category, were observed, indicating a loss of landscape diversity and the disappearance of pastures near the watercourse.
Article
Computer Science, Information Systems
Csaba Sidor, Branislav Krsak, Lubomir Strba
Summary: The article focuses on the basic elements of managed tourism destinations, namely accessibility and image, through ETL processes using open and third-party data. The case study seeks to explore the usability of open government data on occupancy in combination with third-party data on online audiences' engagement for targeted marketing by destination marketing organizations (DMOs). By analyzing data on occupancy, website and social media engagement, the study determines the accessibility of potential audiences by car. Testing on foreign markets shows that the majority of audiences can reach the destination within a 4-hour trip. The study highlights the potential reusability of data extraction and transformation techniques in the tourism and destination management field.
Article
Green & Sustainable Science & Technology
Thomas Meier, Helena Makysova, Alena Paulikova
Summary: This study explores the potential and possible applications of big data in the logistics field, evaluating this potential based on a logistical target system that incorporates ethical and sustainable aspects in line with the challenges of the 21st century. It also identifies the current level of digitization, highlights problems in understanding the terminology, and derives cognitive and technical prerequisites and recommendations for action regarding the use of big data technologies. The research methodology employed a quantitative survey. The article aims to provide a comprehensive approach (economic, ecological, and social) for politics and companies in logistics, addressing the need to include ecological and social goals alongside growth and optimization targets in big data research.
Review
Chemistry, Multidisciplinary
Ludovit Kovanic, Branislav Topitzer, Patrik Petovsky, Peter Blistan, Marcela Bindzarova Gergelova, Monika Blistanova
Summary: Using unmanned aerial vehicles (UAVs) combined with various sensors allows for fast, automatic, and contactless collection of spatial data with high resolution and accuracy. The most common application is the creation of spatial models based on photogrammetric and lidar data. This review analyzes the current possibilities of UAVs and provides an overview of their history, development, classification, regulation, and application in surveying.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Studies
L'udovit Kovanic, Martin Stroner, Rudolf Urban, Peter Blistan
Summary: There are numerous talus cones in the Small Cold Valley, Slovakia, formed by long-term geological processes and sudden hydrological events. Due to recent rock avalanches and landslides, the safety of frequent hiking trails in this area needs to be monitored. A complex methodology using non-contact UAS photogrammetry with SfM-MVS processing was developed to monitor changes in the talus cones and evaluate the extent, pace, nature, and origin of the morphological changes. Comparing the actual state of a talus cone in 2018 and 2022, significant morphological changes were observed using spatial models represented by point clouds with centimeter-level accuracy. Geodetic and geological knowledge was synthesized to evaluate the phenomena occurring in this territory.
Article
Engineering, Multidisciplinary
Ludovit Kovanic, Martin Stroner, Peter Blistan, Rudolf Urban, Rudolf Boczek
Summary: The geometric parameters of large-scale machinery are checked using traditional geodetic and measuring methods. For a rotary kiln (RK), the focus is on determining its real longitudinal axis geometry and shell deformation. The geodetic methods employ total station (TS) or terrestrial laser scanning (TLS) for 3D coordinate measurements. In this research, these methods were used as ground-truth references to evaluate the SfM-MVS approach in 3D modeling and rotary kiln geometry derivation.
Article
Environmental Sciences
Daniela Cveliharova, Alena Paulikova, Lucia Kopilcakova, Adriana Estokova, Marieta Georgieva Stefanova, Maria Domankova, Ingrid Sutiakova, Martin Kusy, Jana Moravcikova, Marian Hazlinger
Summary: This article discusses the urgent issue of achieving the required drinking water quality in municipal settings, which can be solved by optimizing the interaction among multiple elements involved in the process. The interaction includes the transport system's characteristics and the characteristics of the transported medium, which is drinking water. The article provides an overview of piped water systems and explores the integration of factors influencing the formation of incrustation to minimize its occurrence. The optimization process relies on Saaty's method and a thorough multi-criteria analysis, leading to the development of a three-stage procedure for de-incrustation of pipeline systems. To ensure a comprehensive perspective, ISO 46001-compliant water management systems are crucial.
Article
Geosciences, Multidisciplinary
Ludovit Kovanic, Peter Blistan, Michal Rozloznik, Gergely Szabo
Summary: This article focuses on creating topographic map data from RPAS aerial photogrammetry in built-up areas, verifying the possibility of mapping without surveyors entering the area of interest, and assessing the quality of georeferencing the model using RTK / PPK data without GCP.
ACTA MONTANISTICA SLOVACA
(2021)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
