Bibliographies thématiques / Hand-held Laser Scanner

Littérature scientifique sur le sujet « Hand-held Laser Scanner »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Hand-held Laser Scanner"

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Komissarov, A. V., A. V. Remizov, M. M. Shlyakhova et K. K. Yambaev. « Handheld Laser Scanner Research ». Geodesy and Cartography 952, no 10 (20 novembre 2019) : 47–54. http://dx.doi.org/10.22389/0016-7126-2019-952-10-47-54.

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The authors consider hand-held laser scanners, as a new photogrammetric tool for obtaining three-dimensional models of objects. The principle of their work and the newest optical systems based on various sensors measuring the depth of space are described in detail. The method of simultaneous navigation and mapping (SLAM) used for combining single scans into point cloud is outlined. The formulated tasks and methods for performing studies of the DotProduct (USA) hand-held laser scanner DPI?8X based on a test site survey are presented. The accuracy requirements for determining the coordinates of polygon points are given. The essence of the performed experimental research of the DPI?8X scanner is described, including scanning of a test object at various scanner distances, shooting a test polygon from various scanner positions and building point cloud, repeatedly shooting the same area of the polygon to check the stability of the scanner. The data on the assessment of accuracy and analysis of research results are given. Fields of applying hand-held laser scanners, their advantages and disadvantages are identified.
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Kinsey-Henderson, Anne, Aaron Hawdon, Rebecca Bartley, Scott N. Wilkinson et Thomas Lowe. « Applying a Hand-Held Laser Scanner to Monitoring Gully Erosion : Workflow and Evaluation ». Remote Sensing 13, no 19 (6 octobre 2021) : 4004. http://dx.doi.org/10.3390/rs13194004.

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Detailed understanding of gully erosion processes is essential for monitoring gully remediation and requires fine-scale monitoring. Hand-held laser scanning systems (HLS) enable rapid ground-based data acquisition at centimeter precision and ranges of 10–100 m. This study quantified errors in measuring gully morphology and erosion over a four year period using two models of HLS. Reference datasets were provided by Real-Time-Kinematic (RTK) GPS and a RIEGL Terrestrial Laser Scanner (TLS). The study site was representative of linear gullies that occur extensively on hillslopes throughout Great Barrier Reef catchments, where gully erosion is the dominant source of fine sediment. The RMSE error against RTK survey points varied 0.058–0.097 m over five annual scans. HLS was found to measure annual gully headcut extension within 0.035 m of RTK. HLS was, on average, within 6% of TLS for morphological metrics of depth, area and volume. Volumetric change over a 60 m length of the gully and four years was estimated to within 23% of TLS. Errors could potentially be improved by scanning at times of year with lower ground vegetation cover. HLS provided similar levels of error and was relatively more rapid than TLS and RTK for monitoring gully morphology and change.
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Borrmann, D., S. Jörissen et A. Nüchter. « RADLER – A UNICYCLE AS A LOW-COST RADIAL LASER SCANNER ». ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2021 (17 juin 2021) : 65–72. http://dx.doi.org/10.5194/isprs-annals-v-1-2021-65-2021.

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Abstract. In recent years a wide range of 3D multi sensor systems for various applications has been proposed. Each of them has its own benefits and limitations. This paper proposes a modified unicycle with a 2D laser profiler attached to the wheel axle, thus creating a radial 3D scanning pattern. This novel low-cost device combines the advantages of wheeled scanning equipment with those of wearable or hand-held devices. After presenting the hardware setup and the sensor integration, the results are evaluated using four test scenarios and a terrestrial laser scanner for comparison.
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James, Mike R., et John N. Quinton. « Ultra‐rapid topographic surveying for complex environments : the hand‐held mobile laser scanner (HMLS) ». Earth Surface Processes and Landforms 39, no 1 (30 octobre 2013) : 138–42. http://dx.doi.org/10.1002/esp.3489.

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Sofia, S., S. Sferlazza, A. Mariottini, M. Niccolini, T. Coppi, M. Miozzo, T. La Mantia et F. Maetzke. « A CASE STUDY OF THE APPLICATION OF HAND-HELD MOBILE LASER SCANNING IN THE PLANNING OF AN ITALIAN FOREST (ALPE DI CATENAIA, TUSCANY) ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (28 juin 2021) : 763–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-763-2021.

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Abstract. Precision forestry is becoming a key sector for forest planning because it allows complex analyses of forest data to be carried out simply and economically. It contributes to the integration between technicians and operators in the sector by guaranteeing the transparency of the forest management operations (Corona et al., 2017). In the context of the progressive development of technology, we investigated the feasibility of using the hand-held mobile laser scanner (HMLS) system in different types of forest sites and comparison of the characteristics of individual trees (tree height, diameters at breast height) with traditional surveys, applied with the aim to validate the performance of the system for a future alternative methodology for forest planning thanks to the collaboration with the forestry company “Dimensione Ricerca Ecologia Ambiente Italia” (D.R.E.Am. Italia). GEOSLAM ZEB HORIZON ™ laser scanner is a hand-held mobile laser scanner containing SLAM technology that can be solved the problem of no GNSS signal or poor signal under the forest canopy making it more practical for forest investigations (Gollob et al., 2020). 15 forest sample plots are selected to reflect different stand conditions in Mediterranean forests taking into count the development stage and density of the sub-canopy vegetation, as well as the species composition in the forest stands. The aim of this study is to show the possible extrinsic circumstances that make the method fail by varying the ecological status of forest plots.
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Ni, Hong Jun, Qing Qing Chen, Lei Chen, Ming Yu Huang et Xing Xing Wang. « Modeling Design of Plastic Bottles Based on Laser Scanner and Rapid Prototyping Technology ». Applied Mechanics and Materials 752-753 (avril 2015) : 1307–11. http://dx.doi.org/10.4028/www.scientific.net/amm.752-753.1307.

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Accurate surface modeling of washing liquid bottle is to get through RP technology. Point cloud data of washing liquid bottle is obtained by hand-held laser scanner and processed by Imageware software, 3D model is got by Pro/E. Rapid prototyping machine is used to print solid model. High precision model built by ABS is easily got without complex processes.
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Huang, Xia, Shunyi Zheng et Li Gui. « Automatic Measurement of Morphological Traits of Typical Leaf Samples ». Sensors 21, no 6 (23 mars 2021) : 2247. http://dx.doi.org/10.3390/s21062247.

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It is still a challenging task to automatically measure plants. A novel method for automatic plant measurement based on a hand-held three-dimensional (3D) laser scanner is proposed. The objective of this method is to automatically select typical leaf samples and estimate their morphological traits from different occluded live plants. The method mainly includes data acquisition and processing. Data acquisition is to obtain the high-precision 3D mesh model of the plant that is reconstructed in real-time during data scanning by a hand-held 3D laser scanner (ZGScan 717, made in Zhongguan Automation Technology, Wuhan, China). Data processing mainly includes typical leaf sample extraction and morphological trait estimation based on a multi-level region growing segmentation method using two leaf shape models. Four scale-related traits and six corresponding scale-invariant traits can be automatically estimated. Experiments on four groups of different canopy-occluded plants are conducted. Experiment results show that for plants with different canopy occlusions, 94.02% of typical leaf samples can be scanned well and 87.61% of typical leaf samples can be automatically extracted. The automatically estimated morphological traits are correlated with the manually measured values EF (the modeling efficiency) above 0.8919 for scale-related traits and EF above 0.7434 for scale-invariant traits). It takes an average of 196.37 seconds (186.08 seconds for data scanning, 5.95 seconds for 3D plant model output, and 4.36 seconds for data processing) for a plant measurement. The robustness and low time cost of the proposed method for different canopy-occluded plants show potential applications for real-time plant measurement and high-throughput plant phenotype.
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Graciano, Alejandro, Lidia Ortega, Rafael J. Segura et Francisco R. Feito. « Digitization of religious artifacts with a structured light scanner ». Virtual Archaeology Review 8, no 17 (26 juillet 2017) : 49. http://dx.doi.org/10.4995/var.2016.4650.

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The digitization process for religious artifacts is subject to inherent difficulties often ignored in theoretical models or pipelines. In this paper we aim to describe these problems, which are present in practical environments such as temples and churches, using white light scanners instead of other common devices or technologies such as laser scanners and photogrammetry. Our case study is based on the digitization of two religious statues belonging to a Catholic brotherhood located in a village of the Province of Jaén (Spain), one of them presenting especially several limitations. After performing the scanning process with a portable hand-held scanner, the images captured were processed until the final models were acquired. On the basis of the results obtained, we discuss the problems arising after using well-known procedures for the reconstruction of 3D models, their causes and some possible solutions to achieving a correct digitization. It should be noted that it is not the aim of this study to establish procedures for the digitization of religious artifacts, but rather to transmit the inherent constraints of these types of scenes.
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Mikita, Tomáš, Dominika Krausková, Petr Hrůza, Miloš Cibulka et Zdeněk Patočka. « Forest Road Wearing Course Damage Assessment Possibilities with Different Types of Laser Scanning Methods Including New iPhone LiDAR Scanning Apps ». Forests 13, no 11 (26 octobre 2022) : 1763. http://dx.doi.org/10.3390/f13111763.

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Forests make up 34.1% of the Czech Republic total area and forest roads account for nearly the same length (47,465 km) as all other roads administered by the state and its regions (55,738 km). Forest roads are not as intensively used as other roads. On the other hand, as logging trucks carry the maximum permitted load on roads and forests create a specific microclimate, forest roads are subject to rapid wear. A road wearing course is generally designed for 20 years of service and for a maximum damage level of 25% before they are supposed to be reconstructed. To ensure this life cycle is adhered to, more efficient, faster, and more flexible surface damage detection adaptable for forest environment is needed. As smartphones and their optical devices, i.e., new iPhones with LiDAR sensors, become more advanced, the option arises to perform laser scanning on road surfaces using smartphones applications. This work aimed to test this technology and its precision applicability to assessing damage to a forest wearing course and compare it with another hand-held personal laser scanner (PLShh), represented in this study by GeoSLAM ZEB Horizon scanner, and more precise terrestrial laser scanning (TLS) technology, represented in this study by Faro Focus 3D laser scanner, which have started to replace tacheometric wearing course damage surveying thanks to their greater precision. So, this study involved a comparison of three alternative laser scanning methods focused especially on these, which are implemented in new iPhones for tacheometric surveying. First, a Faro Focus 3D laser scanner was used for the TLS method. Second, the PLShh method was tested on a GeoSLAM ZEB Horizon scanner. Third, another PLShh method using an iPhone 13 Pro with applications 3D Scanner and Polycam was evaluated. If we are comparing positional height accuracy of PLShh to tacheometric surveying on reference cross position height coordinates, ZEB Horizon achieved devXY and devZ RMSE 0.108 m; 0.025 m; iPhone 13 Pro with 3D Scanner app devXY and devZ RMSE 0.185 m; 0.021 m, and with Polycam app devXY and devZ RMSE 0.31 m; 0.045. TLS achieved the best results with devXY RMSE 0.049 and devZ RMSE 0.0077. The results confirm that only the TLS scanner achieves precision values in height differences applicable for an assessment of forest road wearing course damage measurement comparable with tacheometric surveying. Surprisingly, comparing the PLShh scanners to the TLS technology, they achieved interesting results, comparing their transverse profiles and 3D objects as digital surface models (DSM) of the road to TLS in height position. In transverse profiles, ZEB Horizon achieved devZ RMSE 0.032 m; iPhone 13 Pro with 3D Scanner app devZ RMSE 0.017 m, and with Polycam app devZ RMSE 0.041 m compared to the TLS method measured using a Faro Focus 3D static laser scanner. Comparing forest road DSM to Faro Focus 3D, ZEB Horizon achieved devZ RMSE 0.028 m; iPhone 13 Pro with 3D Scanner app devZ RMSE 0.018 m and with Polycam devZ RMSE 0.041 m. These results in height differences show that the height accuracy of PLShh achieves precision, which is applicable to determining the current shape of forest road wearing course compared to the required roof shape gradient. However, further testing provided the insight that such a kind of PLShh measurement is still only possible to use for the identification of a transverse profile shape, as in length measurement the length error increases. All PLShh are able to capture the current shape of forest road cross profile, but still they cannot be used for any design or calculation of material measurement needed for wearing course repair.
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Ni, Hong Jun, Qing Qing Chen, Yi Pei, Yi Lv et Xing Xing Wang. « Design and Rapid Prototyping of S-Shape Push-Ups Frame Based on Laser Scanning ». Applied Mechanics and Materials 752-753 (avril 2015) : 1401–5. http://dx.doi.org/10.4028/www.scientific.net/amm.752-753.1401.

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Model design and rapid prototyping are utilized to manufacture push-ups frame. Point cloud data can be obtained by scanning parts with hand-held laser scanner, and imported into the Imageware to process. The varied points are removed, the missing points are repaired, and then the 3D model is designed through the Pro/E. Finally, the frame model is completed by rapid prototyping printers. The manufacturing period is shorten through the way of putting two technologies in the field of manufacturing together, the production requirements are met, and the business efficiency is improved.
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Thèses sur le sujet "Hand-held Laser Scanner"

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Matabosch, Geronès Carles. « Hand-held 3D-scanner for large surface registration ». Doctoral thesis, Universitat de Girona, 2007. http://hdl.handle.net/10803/7742.

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L'objectiu d'aquesta tesi és l'estudi de les diferents tècniques per alinear vistes tridimensionals. Aquest estudi ens ha permès detectar els principals problemes de les tècniques existents, aprotant una solució novedosa i contribuint resolent algunes de les mancances detectades especialment en l'alineament de vistes a temps real. Per tal d'adquirir les esmentades vistes, s'ha dissenyat un sensor 3D manual que ens permet fer adquisicions tridimensionals amb total llibertat de moviments. Així mateix, s'han estudiat les tècniques de minimització global per tal de reduir els efectes de la propagació de l'error.
The goal of this thesis is to study the different techniques used to register 3D acquisitions. This study detects the main drawbacks of the existing techniques, presents a new classification and provides significant solutions of some perceived shortcomings, especially in 3D real time registration. A 3D hand-held sensor has been designed to acquire these views without any motion restriction and global minimization techniques have been studied to decrease the error propagation effects.
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Rascão, Madalena da Silva Ruivo Coreixas. « Aquisição de dados LiDAR com TLS e HMLS para deteção de árvores individuais ». Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21291.

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Mestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de Lisboa
LiDAR (Light Detection And Ranging) é um sistema baseado nos princípios de Deteção Remota que permite medir distâncias com base no tempo da trajetória da radiação laser, desde que é emitida pelo aparelho até que retorna ao recetor depois de ser refletida numa superfície sólida. A aplicabilidade deste sistema é abrangente a várias áreas da engenharia e prende-se com a capacidade que o mesmo tem de recolher e armazenar dados tridimensionais em forma de nuvens de pontos de qualquer objeto sólido sobre a superfície terrestre. No sector florestal, este sistema permite estimar características dos povoamentos e digitalizar uma extensa área de floresta, de uma forma automatizada, rápida e com detalhe na ordem dos milímetros. O objetivo do presente trabalho é avaliar a capacidade do sistema LiDAR na individualização da árvore comparando as coordenadas estimadas obtidas com dois métodos LiDAR - HMLS (Held-Hand Mobile Laser Scanner) e TLS (Terrestrial Taser Scanner) - com as coordenadas obtidas com GPS sub-métrico, pelo método tradicional de campo, num ensaio clonal de Eucalyptus globulus Labill. com 10 anos de idade. O presente estudo serviu também como primeira abordagem ao desempenho dos dois métodos LiDAR na obtenção de diâmetros às várias alturas do tronco, recorrendo aos algoritmos disponíveis no software R. Para a deteção das árvores individuais, os resultados demonstraram que, em média, o método TLS detetou 65,1% das árvores, enquanto o método HMLS detetou 44,7% das árvores, para todas as parcelas de estudo. Comprovou-se ainda que o levantamento com HMLS só é vantajoso para terrenos regulares e percursos retos. Concluiu-se que deve ser efetuada uma melhoria nos processos associados à utilização do algoritmo SLAM (Simultaneous Localization And Mapping) e salientou-se a importância de utilizar pontos de referência em campo para a obtenção de nuvens de pontos de melhor qualidade
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Denker, Klaus [Verfasser], Hans [Akademischer Betreuer] Hagen, Bernd [Akademischer Betreuer] Hamann et Georg [Akademischer Betreuer] Umlauf. « Acquisition and On-line Reconstruction of 3D Point Data from Hand-held Laser Scanners and Multi-camera Stereo-matching / Klaus Denker. Betreuer : Hans Hagen ; Bernd Hamann ; Georg Umlauf ». Kaiserslautern : Technische Universität Kaiserslautern, 2014. http://d-nb.info/1056907231/34.

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Perugia, Barbara Del. « Lidar remote sensing for forestry applications ». Doctoral thesis, 2019. http://hdl.handle.net/2158/1150981.

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Chapitres de livres sur le sujet "Hand-held Laser Scanner"

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Borribanbunpotkat, K., et J. Kofman. « Calibration of a hand-held multi-line laser-camera 3D scanner ». Dans High Value Manufacturing : Advanced Research in Virtual and Rapid Prototyping, 435–40. CRC Press, 2013. http://dx.doi.org/10.1201/b15961-80.

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Actes de conférences sur le sujet "Hand-held Laser Scanner"

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Walkowski, F., R. A. Johnston et N. B. Price. « Texture Mapping for the FastSCAN™ ; hand-held laser scanner ». Dans 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ). IEEE, 2008. http://dx.doi.org/10.1109/ivcnz.2008.4762078.

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Baleani, Alessia, Paolo Castellini, Paolo Chiariotti, Nicola Paone et Luca Violini. « Analysis of reproducibility and repeatability of a hand-held laser scanner for gap&flush measurement in car-assembly line ». Dans 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2020. http://dx.doi.org/10.1109/metroind4.0iot48571.2020.9138222.

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Hu, Shaoxing, Duhu Wang et Shike Xu. « 3D indoor modeling using a hand-held embedded system with multiple laser range scanners ». Dans International Symposium on Optoelectronic Technology and Application 2016, sous la direction de Sen Han et JiuBin Tan. SPIE, 2016. http://dx.doi.org/10.1117/12.2247006.

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