Thematische Bibliographien / Scanner laser dynamique (MLS)

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Auswahl der wissenschaftlichen Literatur zum Thema „Scanner laser dynamique (MLS)“

Autor: Grafiati

Veröffentlicht am 7. Dezember 2024

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Zeitschriftenartikel zum Thema "Scanner laser dynamique (MLS)"

Oude Elberink, S. J. „SMART FUSION OF MOBILE LASER SCANNER DATA WITH LARGE SCALE TOPOGRAPHIC MAPS“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (03.08.2020): 251–58. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-251-2020.

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Abstract. The classification of Mobile Laser Scanner (MLS) data is challenging due to the combination of high variation in point density with a high variation of object appearances. The way how objects appear in the MLS data highly depends on the speed and orientation of the mobile mapping platform and the occlusion by other vehicles. There have been many approaches dealing with the geometric and contextual appearance of MLS points, voxels and segments to classify the MLS data. We present a completely different strategy by fusing the MLS data with a large scale topographic map. Underlying assumption is that the map delivers a clear hint on what to expect in the MLS data, at its approximate location. The approach presented here first fuses polygon objects, such as road, water, terrain and buildings, with ground and non-ground MLS points. Non-ground MLS points above roads and terrain are further classified by segmenting and matching the laser points to corresponding map point objects. The segmentation parameters depend on the class of the map points. We show that the fusion process is capable of classifying MLS data and detecting changes between the map and MLS data. The segmentation algorithm is not perfect, at some occasions not all the MLS points are correctly assigned to the corresponding map object. However, it is without doubt that the proposed map fusion delivers a very rich labelled point cloud automatically, which in future work can be used as training data in deep learning approaches.

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Gonzalez-Barbosa, Jose-Joel, Karen Lizbeth Flores-Rodrıguez, Francisco Javier Ornelas-Rodrıguez, Felipe Trujillo-Romero, Erick Alejandro Gonzalez-Barbosa und Juan B. Hurtado-Ramos. „Using mobile laser scanner and imagery for urban management applications“. IAES International Journal of Robotics and Automation (IJRA) 11, Nr. 2 (01.06.2022): 89. http://dx.doi.org/10.11591/ijra.v11i2.pp89-110.

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<p>Despite autonomous navigation is one of the most proliferate applications of three-dimensional (3D) point clouds and imagery both techniques can potentially have many other applications. This work explores urban digitization tools applied to 3D geometry to perform urban tasks. We focus exclusively on compiling scientific research that merges mobile laser scanning (MLS) and imagery from vision systems. The major contribution of this review is to show the evolution of MLS combined with imagery in urban applications. We review systems used by public and private organizations to handle urban tasks such as historic preservation, roadside assistance, road infrastructure inventory, and public space study. The work pinpoints the potential and accuracy of data acquisition systems to handled both 3D point clouds and imagery data. We highlight potential future work regarding the detection of urban environment elements and to solve urban problems. This article concludes by discussing the major constraints and struggles of current systems that use MLS combined with imagery to perform urban tasks and to solve urban tasks.</p>

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Ahokas, E., H. Kaartinen, A. Kukko und P. Litkey. „Test field for airborne laser scanning in Finland“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (07.11.2014): 9–12. http://dx.doi.org/10.5194/isprsarchives-xl-1-9-2014.

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Airborne laser scanning (ALS) is a widely spread operational measurement tool for obtaining 3D coordinates of the ground surface. There is a need for calibrating the ALS system and a test field for ALS was established at the end of 2013. The test field is situated in the city of Lahti, about 100 km to the north of Helsinki. The size of the area is approximately 3.5 km × 3.2 km. Reference data was collected with a mobile laser scanning (MLS) system assembled on a car roof. Some streets were measured both ways and most of them in one driving direction only. The MLS system of the Finnish Geodetic Institute (FGI) consists of a navigation system (NovAtel SPAN GNSS-IMU) and a laser scanner (FARO Focus3D 120). In addition to the MLS measurements more than 800 reference points were measured using a Trimble R8 VRS-GNSS system. Reference points are along the streets, on parking lots, and white pedestrian crossing line corners which can be used as reference targets. The National Land Survey of Finland has already used this test field this spring for calibrating their Leica ALS-70 scanner. Especially it was easier to determine the encoder scale factor parameter using this test field. Accuracy analysis of the MLS points showed that the point height RMSE is 2.8 cm and standard deviation is 2.6 cm. Our purpose is to measure both more MLS data and more reference points in the test field area to get a better spatial coverage. Calibration flight heights are planned to be 1000 m and 2500 m above ground level. A cross pattern, southwest–northeast and northwest–southeast, will be flown both in opposite directions.

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Hartley, Robin J. L., Sadeepa Jayathunga, Peter D. Massam, Dilshan De Silva, Honey Jane Estarija, Sam J. Davidson, Adedamola Wuraola und Grant D. Pearse. „Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping“. Remote Sensing 14, Nr. 14 (11.07.2022): 3344. http://dx.doi.org/10.3390/rs14143344.

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Phenotyping has been a reality for aiding the selection of optimal crops for specific environments for decades in various horticultural industries. However, until recently, phenotyping was less accessible to tree breeders due to the size of the crop, the length of the rotation and the difficulty in acquiring detailed measurements. With the advent of affordable and non-destructive technologies, such as mobile laser scanners (MLS), phenotyping of mature forests is now becoming practical. Despite the potential of MLS technology, few studies included detailed assessments of its accuracy in mature plantations. In this study, we assessed a novel, high-density MLS operated below canopy for its ability to derive phenotypic measurements from mature Pinus radiata. MLS data were co-registered with above-canopy UAV laser scanner (ULS) data and imported to a pipeline that segments individual trees from the point cloud before extracting tree-level metrics. The metrics studied include tree height, diameter at breast height (DBH), stem volume and whorl characteristics. MLS-derived tree metrics were compared to field measurements and metrics derived from ULS alone. Our pipeline was able to segment individual trees with a success rate of 90.3%. We also observed strong agreement between field measurements and MLS-derived DBH (R2 = 0.99, RMSE = 5.4%) and stem volume (R2 = 0.99, RMSE = 10.16%). Additionally, we proposed a new variable height method for deriving DBH to avoid swelling, with an overall accuracy of 52% for identifying the correct method for where to take the diameter measurement. A key finding of this study was that MLS data acquired from below the canopy was able to derive canopy heights with a level of accuracy comparable to a high-end ULS scanner (R2 = 0.94, RMSE = 3.02%), negating the need for capturing above-canopy data to obtain accurate canopy height models. Overall, the findings of this study demonstrate that even in mature forests, MLS technology holds strong potential for advancing forest phenotyping and tree measurement.

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Rahmadiansyah, Megan, und Muhammad Iqbal Taftazani. „Pemanfaatan Data Pengukuran Mobile Laser Scanner untuk Analisis Perubahan Elevasi Ruas Tol“. Journal of Geospatial Science and Technology 2, Nr. 1 (29.07.2024): 12–18. http://dx.doi.org/10.22146/jgst.v2i1.6097.

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Pembangunan jalan tol di Indonesia yang semakin pesat di Indonesia perlu diimbangi monitoring yang baik. Salah satu metode yang dapat dimanfaatkan untuk monitoring jalan tol adalah metode Mobile Laser Scanner (MLS) yang cukup efisien, salah satunya untuk monitoring elevasi jalan tol. Penelitian ini menggunakan data MLS Ruas Tol Terbanggi Besar Pematang Panggang Kayu Agung (TBPPKA) STA 27+500 s.d. STA 30+212 yang diambil pada tahun 2020 dan 2021 yang diolah menggunakan perangkat lunak Global Mapper dengan metode subtract surface untuk mengetahui nilai perubahan elevasinya. Hasil dari penelitian ini ditemukan adanya perubahan elevasi ruas tol TBPPKA dari tahun 2020 ke 2021 di Track A sebesar -0,017 m s.d. 0,022 m dan di Track B sebesar -0,025 m s.d. 0,019 m. The rapid development of toll roads in Indonesia must be balanced with good monitoring. One method that can be used for toll road monitoring is the Mobile Laser Scanner (MLS) method, which is quite efficient for monitoring toll road elevation. This study uses MLS data for the Terbanggi Besar Pematang Panggang Kayu Agung Toll Road (TBPPKA) STA 27+500 to STA 30+212 taken in 2020 and 2021, which is processed using Global Mapper software with the subtract surface method to determine the value of elevation changes. The results of this study found that there was a change in the elevation of the TBPPKA toll road from 2020 to 2021 on Track A of -0.017 m to 0.022 m and on Track B of -0.025 m to 0.019 m.

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Kaasalainen, S., H. Kaartinen, A. Kukko, K. Anttila und A. Krooks. „Brief communication "Application of mobile laser scanning in snow cover profiling"“. Cryosphere Discussions 4, Nr. 4 (30.11.2010): 2513–22. http://dx.doi.org/10.5194/tcd-4-2513-2010.

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Abstract. We present a snowmobile based mobile mapping system and its first application on snow cover roughness and change detection measurement. The ROAMER mobile mapping system, constructed at the Finnish Geodetic Institute, consists of the positioning and navigating systems, a terrestrial laser scanner, and the carrying platform (a snowmobile sledge in this application). We demonstrate the applicability of the instrument in snow cover roughness profiling and change detection by presenting preliminary results from a mobile laser scanning (MLS) campaign. The results show the potential of MLS for fast and efficient snow profiling from large areas in a millimetre scale.

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Kaasalainen, S., H. Kaartinen, A. Kukko, K. Anttila und A. Krooks. „Brief communication "Application of mobile laser scanning in snow cover profiling"“. Cryosphere 5, Nr. 1 (01.03.2011): 135–38. http://dx.doi.org/10.5194/tc-5-135-2011.

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Abstract. We present a snowmobile-based mobile mapping system and its first application to snow cover roughness and change detection measurement. The ROAMER mobile mapping system, constructed at the Finnish Geodetic Institute, consists of the positioning and navigating systems, a terrestrial laser scanner, and the carrying platform (a snowmobile sledge in this application). We demonstrate the applicability of the instrument to snow cover roughness profiling and change detection by presenting preliminary results from a mobile laser scanning (MLS) campaign. The results show the potential of MLS for fast and efficient snow profiling from large areas in a millimetre scale.

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Yamamoto, K., T. Chen und N. Yabuki. „A CALIBRATION METHOD OF TWO MOBILE LASER SCANNING SYSTEM UNITS FOR RAILWAY MEASUREMENT“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (06.08.2020): 277–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-277-2020.

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Abstract. This paper proposes a methodology to calibrate the laser scanner of a Mobile Laser Scanning System (MLS) with the trajectory of the other MLS, both of which are installed directly above the top of both rails. Railway vehicle laser scanners systems of MLS are able to obtain 3D scanning map of the rail environment. In order to adapt the actual site condition of the maintenance works, we propose a calibration method with non-linear Least Mean Square calculation which use point clouds around poles along rails and sleepers of rails as cylindrical and planner constraints. The accuracy of 0.006 m between two laser point clouds can be achieved with this method. With the common planar and cylinder condition Leven-Marquardt method has been applied for this method. This method can execute without a good initial value for the extrinsic parameter and can shorten the processing time compared with the linear type of Least Mean Square method.

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Staats, B. R., A. A. Diakité, R. L. Voûte und S. Zlatanova. „AUTOMATIC GENERATION OF INDOOR NAVIGABLE SPACE USING A POINT CLOUD AND ITS SCANNER TRAJECTORY“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (14.09.2017): 393–400. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-393-2017.

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Automatic generation of indoor navigable models is mostly based on 2D floor plans. However, in many cases the floor plans are out of date. Buildings are not always built according to their blue prints, interiors might change after a few years because of modified walls and doors, and furniture may be repositioned to the user’s preferences. Therefore, new approaches for the quick recording of indoor environments should be investigated. This paper concentrates on laser scanning with a Mobile Laser Scanner (MLS) device. The MLS device stores a point cloud and its trajectory. If the MLS device is operated by a human, the trajectory contains information which can be used to distinguish different surfaces. In this paper a method is presented for the identification of walkable surfaces based on the analysis of the point cloud and the trajectory of the MLS scanner. This method consists of several steps. First, the point cloud is voxelized. Second, the trajectory is analysing and projecting to acquire seed voxels. Third, these seed voxels are generated into floor regions by the use of a region growing process. By identifying dynamic objects, doors and furniture, these floor regions can be modified so that each region represents a specific navigable space inside a building as a free navigable voxel space. By combining the point cloud and its corresponding trajectory, the walkable space can be identified for any type of building even if the interior is scanned during business hours.

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Mitka, Bartosz, Przemysław Klapa und Pelagia Gawronek. „Laboratory Tests of Metrological Characteristics of a Non-Repetitive Low-Cost Mobile Handheld Laser Scanner“. Sensors 24, Nr. 18 (17.09.2024): 6010. http://dx.doi.org/10.3390/s24186010.

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The popularity of mobile laser scanning systems as a surveying tool is growing among construction contractors, architects, land surveyors, and urban planners. The user-friendliness and rapid capture of precise and complete data on places and objects make them serious competitors for traditional surveying approaches. Considering the low cost and constantly improving availability of Mobile Laser Scanning (MLS), mainly handheld surveying tools, the measurement possibilities seem unlimited. We conducted a comprehensive investigation into the quality and accuracy of a point cloud generated by a recently marketed low-cost mobile surveying system, the MandEye MLS. The purpose of the study is to conduct exhaustive laboratory tests to determine the actual metrological characteristics of the device. The test facility was the surveying laboratory of the University of Agriculture in Kraków. The results of the MLS measurements (dynamic and static) were juxtaposed with a reference base, a geometric system of reference points in the laboratory, and in relation to a reference point cloud from a higher-class laser scanner: Leica ScanStation P40 TLS. The Authors verified the geometry of the point cloud, technical parameters, and data structure, as well as whether it can be used for surveying and mapping objects by assessing the point cloud density, noise and measurement errors, and detectability of objects in the cloud.

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Dissertationen zum Thema "Scanner laser dynamique (MLS)"

Gourguechon, Camille. „Création et mise à jour de maquettes numériques de bâtiments (BIM) à partir de nuages de points issus de scanners laser dynamiques . : focus sur les environnements intérieurs“. Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD019.

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Poussé par des perspectives de conception et gestion plus efficientes et durables, le BIM (Building Information Modelling) tend à se développer à tout le secteur du bâtiment. Cependant, malgré l’avènement des scanners laser pour les levés d’intérieurs, l’adoption du BIM dans l’ancien est freinée par les difficultés de création et de mise à jour des maquettes qui s’avèrent des tâches fastidieuses et chronophages réalisées essentiellement manuellement. C’est dans ce contexte que se positionne cette thèse, dont l’objectif est l’automatisation du processus de modélisation de bâtiments à partir de nuages de points et de la détection de changements géométriques dans des maquettes numériques existantes. Le défi est d’autant plus grand que sont considérées en particulier les données issues de scanners laser dynamiques, plus complexes à priori à manipuler que celles issues de scanners statiques, mais de plus en plus répandues du fait de l’adoption large des capteurs par les professionnels
Driven by the need for more efficient and sustainable design and management, BIM (Building Information Modelling) is expanding across the entire building industry. However, despite the advent of laser scanners for indoor surveys, the adoption of BIM in existing buildings is hampered by the difficulties of creating and updating models, which are tedious and time-consuming tasks performed mainly manually. This is the background to this thesis, which aims to automate the process of modelling buildings using point clouds and detecting geometric changes in existing digital models. The challenge is twofold, in considering in particular the point clouds from dynamic laser scanners, which are reputed more complex to deal with than those from static scanners but are also increasingly common due to the wide adoption of these sensors by professionals

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Kasperski, Johan. „Confrontation des données de terrain et de l'imagerie multi-sources pour la compréhension de la dynamique des mouvements de versants“. Phd thesis, Université Claude Bernard - Lyon I, 2008. http://tel.archives-ouvertes.fr/tel-00380467.

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Face aux menaces des grands mouvements de versants rocheux, les techniques conventionnelles de suivi ne fournissent pas une vision globale, contrairement aux techniques d'imagerie. En considérant leurs apports à la description cinématique de trois sites instables, nous montrons que (1) la corrélation d'images aériennes est une solution rapide pour une connaissance globale et multi-temporelle ; que (2) le scanner-laser terrestre apporte des informations sur les zones tourmentées et difficiles d'observation mais de manière limitée spatialement ; que (3) l'utilisation des images satellitaires haute résolution est encore inadaptée, et enfin (4) que les images terrestres de face constituent un moyen rapide, efficace et peu onéreux de suivi de sites. Concernant les sites choisis, nous montrons que le mouvement de versant de Sedrun (Suisse) subit un ralentissement constant depuis 2002 qui fait suite à une augmentation des vitesses de 150% à partir de 1990. La description précise de la cinématique, alliée à la géologie de terrain, renseigne quant à ses évolutions possibles. La zone frontale du site de Séchilienne (Isère) se translate plus qu'elle ne s'affaisse ; par les acquisitions du scanner-laser, nous démontrons la rotation vers l'aval de ses compartiments structuraux. Enfin, le site du tunnel des Cliets (gorges de l'Arly) subit une décompression difficilement visible par imagerie. Finalement, nous proposons un "guide" aux techniques d'imagerie applicables à l'auscultation de versant instable, en fonction des configurations de terrain. Enfin, l'imagerie a montré tout son potentiel et sa complémentarité avec les techniques conventionnelles de suivi des mouvements de versants.

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Buchteile zum Thema "Scanner laser dynamique (MLS)"

Sahin, Cumhur, Bahadır Ergun und Furkan Bilucan. „Terrestrial Backpack Laser Scanner Usage in Mobile Surveying: A Case Study for Cadastral Surveying“. In Point Cloud Generation and Its Applications [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006158.

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There are several different methods in laser scanning technology including terrestrial laser scanner (TLS), airborne laser scanner (ALS), and mobile laser scanner (MLS). In addition to these scanners, there are personal laser scanners (PLS). PLS are examined under two main categories as handheld personal laser scanner (HPLS) and backpack personal laser scanner (BPLS) which are the latest additions to these laser scanning technologies. Today, the use of personal laser scanner technology is a popular research and application topics. The primary advantage of PLS lies in its high mobility in different topography conditions and rapid data acquisition. Unlike TLS and MLS, the operator carries the PLS device in the work area at standard walking speed, which is sufficient to collect data. Also, PLS technology eliminates the limitations of moving TLS equipment from one station point to another station point during the data collection process and installing instruments on a tripod again. In this paper, a case study was conducted using the LiBackpack DGC50 Mobile Scanner, which is the PLS technique, for the cadastral updating surveying in the Karaağaç District of Edirne province. It has been concluded that backpack laser scanners provide sufficient accuracy for cadastral studies in the study area.

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Konferenzberichte zum Thema "Scanner laser dynamique (MLS)"

Bianchini Ciampoli, Luca, Alessandro Calvi, Alessandro Di Benedetto, Margherita Fiani und Valerio Gagliardi. „Ground Penetrating Radar (GPR) and Mobile Laser Scanner (MLS) technologies for non-destructive analysis of transport infrastructures“. In Earth Resources and Environmental Remote Sensing/GIS Applications XII, herausgegeben von Karsten Schulz, Konstantinos G. Nikolakopoulos und Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2599283.

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