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Статті в журналах з теми "Mobile laser scanner (MLS)"
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Yamamoto, K., T. Chen, and 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 (August 6, 2020): 277–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-277-2020.
Повний текст джерелаАнотація:
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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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 (August 3, 2020): 251–58. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-251-2020.
Повний текст джерелаАнотація:
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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Nikoohemat, S., M. Peter, S. Oude Elberink, and G. Vosselman. "EXPLOITING INDOOR MOBILE LASER SCANNER TRAJECTORIES FOR SEMANTIC INTERPRETATION OF POINT CLOUDS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 14, 2017): 355–62. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-355-2017.
Повний текст джерелаАнотація:
The use of Indoor Mobile Laser Scanners (IMLS) for data collection in indoor environments has been increasing in the recent years. These systems, unlike Terrestrial Laser Scanners (TLS), collect data along a trajectory instead of at discrete scanner positions. In this research, we propose several methods to exploit the trajectories of IMLS systems for the interpretation of point clouds. By means of occlusion reasoning and use of trajectory as a set of scanner positions, we are capable of detecting openings in cluttered indoor environments. In order to provide information about both the partitioning of the space and the navigable space, we use the voxel concept for point clouds. Furthermore, to reconstruct walls, floor and ceiling we exploit the indoor topology and plane primitives. The results show that the trajectory is a valuable source of data for feature detection and understanding of indoor MLS point clouds.
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Hartley, Robin J. L., Sadeepa Jayathunga, Peter D. Massam, Dilshan De Silva, Honey Jane Estarija, Sam J. Davidson, Adedamola Wuraola, and Grant D. Pearse. "Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping." Remote Sensing 14, no. 14 (July 11, 2022): 3344. http://dx.doi.org/10.3390/rs14143344.
Повний текст джерелаАнотація:
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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Gonzalez-Barbosa, Jose-Joel, Karen Lizbeth Flores-Rodrıguez, Francisco Javier Ornelas-Rodrıguez, Felipe Trujillo-Romero, Erick Alejandro Gonzalez-Barbosa, and Juan B. Hurtado-Ramos. "Using mobile laser scanner and imagery for urban management applications." IAES International Journal of Robotics and Automation (IJRA) 11, no. 2 (June 1, 2022): 89. http://dx.doi.org/10.11591/ijra.v11i2.pp89-110.
Повний текст джерелаАнотація:
<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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Kaasalainen, S., H. Kaartinen, A. Kukko, K. Anttila, and A. Krooks. "Brief communication "Application of mobile laser scanning in snow cover profiling"." Cryosphere Discussions 4, no. 4 (November 30, 2010): 2513–22. http://dx.doi.org/10.5194/tcd-4-2513-2010.
Повний текст джерелаАнотація:
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, and A. Krooks. "Brief communication "Application of mobile laser scanning in snow cover profiling"." Cryosphere 5, no. 1 (March 1, 2011): 135–38. http://dx.doi.org/10.5194/tc-5-135-2011.
Повний текст джерелаАнотація:
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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Rahmadiansyah, Megan, and Muhammad Iqbal Taftazani. "Pemanfaatan Data Pengukuran Mobile Laser Scanner untuk Analisis Perubahan Elevasi Ruas Tol." Journal of Geospatial Science and Technology 2, no. 1 (July 29, 2024): 12–18. http://dx.doi.org/10.22146/jgst.v2i1.6097.
Повний текст джерелаАнотація:
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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Nikoohemat, Shayan, Michael Peter, Sander Oude Elberink, and George Vosselman. "Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories." Remote Sensing 10, no. 11 (November 7, 2018): 1754. http://dx.doi.org/10.3390/rs10111754.
Повний текст джерелаАнотація:
The data acquisition with Indoor Mobile Laser Scanners (IMLS) is quick, low-cost and accurate for indoor 3D modeling. Besides a point cloud, an IMLS also provides the trajectory of the mobile scanner. We analyze this trajectory jointly with the point cloud to support the labeling of noisy, highly reflected and cluttered points in indoor scenes. An adjacency-graph-based method is presented for detecting and labeling of permanent structures, such as walls, floors, ceilings, and stairs. Through occlusion reasoning and the use of the trajectory as a set of scanner positions, gaps are discriminated from real openings in the data. Furthermore, a voxel-based method is applied for labeling of navigable space and separating them from obstacles. The results show that 80% of the doors and 85% of the rooms are correctly detected, and most of the walls and openings are reconstructed. The experimental outcomes indicate that the trajectory of MLS systems plays an essential role in the understanding of indoor scenes.
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Mitka, Bartosz, Przemysław Klapa, and Pelagia Gawronek. "Laboratory Tests of Metrological Characteristics of a Non-Repetitive Low-Cost Mobile Handheld Laser Scanner." Sensors 24, no. 18 (September 17, 2024): 6010. http://dx.doi.org/10.3390/s24186010.
Повний текст джерелаАнотація:
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.
Дисертації з теми "Mobile laser scanner (MLS)"
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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.
Повний текст джерелаАнотація:
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 professionnelsDriven 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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Nalani, Hetti Arachchige. "Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-159872.
Повний текст джерелаАнотація:
Aktuelle 3D-Stadtmodelle werden immer wichtiger in verschiedenen städtischen Anwendungsbereichen. Im Moment dienen sie als Grundlage bei der Stadtplanung, virtuellem Tourismus und Navigationssystemen. Mittlerweile ist der Bedarf an 3D-Gebäudemodellen dramatisch gestiegen. Der Grund dafür sind hauptsächlich Navigationssysteme und Onlinedienste wie Google Earth. Die Mehrheit der Untersuchungen zur Rekonstruktion von Gebäudemodellen von Luftaufnahmen konzentriert sich ausschließlich auf Dachmodellierung. Jedoch treiben Anwendungen wie Virtuelle Realität und Navigationssysteme die Nachfrage nach detaillieren Gebäudemodellen, die nicht nur die geometrischen Aspekte sondern auch semantische Informationen beinhalten, stark an. Urbanisierung und Industrialisierung beeinflussen das Wachstum von urbaner Vegetation drastisch, welche als ein wesentlicher Teil des Lebensraums angesehen wird. Aus diesem Grund werden Aufgaben wie der Ökosystemüberwachung, der Verbesserung der Planung und des Managements von urbanen Regionen immer mehr Aufmerksamkeit geschenkt. Gleichermaßen hat die Erkennung und Modellierung von Bäumen im Stadtgebiet sowie die kontinuierliche Überprüfung ihrer Inventurparameter an Bedeutung gewonnen. Die steigende Nachfrage nach 3D-Gebäudemodellen, welche durch Fassadeninformation ergänzt wurden, und Informationen über einzelne Bäume im städtischen Raum erfordern effiziente Extraktions- und Rekonstruktionstechniken, die hochgradig automatisiert sind. In diesem Zusammenhang ist das Wissen über die geometrische Form jedes Objektteils ein wichtiger Aspekt. Heutzutage, wird das Mobile Laser Scanning (MLS) vermehrt eingesetzt um Objekte im städtischen Umfeld zu erfassen und es entwickelt sich zur Hauptquelle von Daten für die Modellierung von urbanen Objekten. Eine Vielzahl von Objekten wurde schon mit Daten von MLS rekonstruiert. Außerdem wurden bereits viele Methoden für die Verarbeitung von MLS-Daten mit dem Ziel urbane Objekte zu erkennen und zu rekonstruieren vorgeschlagen. Die 3D-Punkwolke einer städtischen Szene stellt eine große Menge von Messungen dar, die viele Objekte von verschiedener Größe umfasst, komplexe und unvollständige Strukturen sowie Löcher (Rauschen und Datenlücken) enthält und eine inhomogene Punktverteilung aufweist. Aus diesem Grund ist die Verarbeitung von MLS-Punktwolken im Hinblick auf die Extrahierung und Modellierung von wesentlichen und charakteristischen Fassadenstrukturen sowie Bäumen von großer Bedeutung. In der Arbeit werden zwei neue Methoden für die Rekonstruktion von Gebäudefassaden und die Extraktion von Bäumen aus MLS-Punktwolken vorgestellt, sowie ihre Anwendbarkeit in der städtischen Umgebung analysiert. Die erste Methode zielt auf die Rekonstruktion von Gebäudefassaden mit expliziter semantischer Information, wie beispielsweise Fenster, Türen, und Balkone. Die Rekonstruktion läuft vollautomatisch ab. Zu diesem Zweck werden einige Algorithmen vorgestellt, die auf dem Vorwissen über die geometrische Form und das Arrangement von Fassadenmerkmalen beruhen. Die initiale Klassifikation, mit welcher die Punkte in Objektpunkte und Bodenpunkte unterschieden werden, wird über eine lokale Höhenhistogrammanalyse zusammen mit einer planaren Region-Growing-Methode erzielt. Die Punkte, die als zugehörig zu Objekten klassifiziert werden, werden anschließend in Ebenen segmentiert, welche als Basiselemente der Merkmalserkennung angesehen werden können. Information über die Gebäudestruktur kann in Form von Regeln und Bedingungen erfasst werden, welche die wesentlichen Steuerelemente bei der Erkennung der Fassadenmerkmale und der Rekonstruktion des geometrischen Modells darstellen. Um Merkmale wie Fenster oder Türen zu erkennen, die sich an der Gebäudewand befinden, wurde eine löcherbasierte Methode implementiert. Einige Löcher, die durch Verdeckungen entstanden sind, können anschließend durch einen neuen regelbasierten Algorithmus eliminiert werden. Außenlinien der Merkmalsränder werden durch ein Polygon verbunden, welches das geometrische Modell repräsentiert, indem eine Methode angewendet wird, die auf geometrischen Primitiven basiert. Dabei werden die topologischen Relationen unter Beachtung des Vorwissens über die primitiven Formen analysiert. Mögliche Außenlinien können von den Kantenpunkten bestimmt werden, welche mit einer winkelbasierten Methode detektiert werden können. Wiederkehrende Muster und Ähnlichkeiten werden ausgenutzt um geometrische und topologische Ungenauigkeiten des rekonstruierten Modells zu korrigieren. Neben der Entwicklung des Schemas zur Rekonstruktion des 3D-Fassadenmodells, sind die Segmentierung einzelner Bäume und die Ableitung von Attributen der städtischen Bäume im Fokus der Untersuchung. Die zweite Methode zielt auf die Extraktion von individuellen Bäumen aus den Restpunktwolken. Vorwissen über Bäume, welches speziell auf urbane Regionen zugeschnitten ist, wird im Extraktionsprozess verwendet. Der formbasierte Ansatz zur Extraktion von Einzelbäumen besteht aus einer Reihe von Schritten. In jedem Schritt werden Objekte in Abhängigkeit ihrer geometrischen Merkmale gefunden. Stämme werden unter Ausnutzung der Hauptrichtung der Punktverteilung identifiziert. Dafür werden Punktsegmente gesucht, die einen Teil des Baumstamms repräsentieren. Das Ergebnis des Algorithmus sind segmentierte Bäume, welche genutzt werden können um genaue Informationen über die Größe und Position jedes einzelnen Baumes abzuleiten. Einige Beispiele der Ergebnisse werden in der Arbeit angeführt. Die Zuverlässigkeit der Algorithmen und der Methoden im Allgemeinen wurden unter Verwendung von drei Datensätzen, die mit verschiedenen Laserscannersystemen aufgenommen wurden, verifiziert. Die Untersuchung zeigt auch das Potential sowie die Einschränkungen der entwickelten Methoden wenn sie auf verschiedenen Datensätzen angewendet werden. Die Ergebnisse beider Methoden wurden quantitativ bewertet unter Verwendung einer Menge von Maßen, die die Qualität der Fassadenrekonstruktion und Baumextraktion betreffen wie Vollständigkeit und Genauigkeit. Die Genauigkeit der Fassadenrekonstruktion, der Baumstammdetektion, der Erfassung von Baumkronen, sowie ihre Einschränkungen werden diskutiert. Die Ergebnisse zeigen, dass MLS-Punktwolken geeignet sind um städtische Objekte detailreich zu dokumentieren und dass mit automatischen Rekonstruktionsmethoden genaue Messungen der wichtigsten Attribute der Objekte, wie Fensterhöhe und -breite, Flächen, Stammdurchmesser, Baumhöhe und Kronenfläche, erzielt werden können. Der gesamte Ansatz ist geeignet für die Rekonstruktion von Gebäudefassaden und für die korrekte Extraktion von Bäumen sowie ihre Unterscheidung zu anderen urbanen Objekten wie zum Beispiel Straßenschilder oder Leitpfosten. Aus diesem Grund sind die beiden Methoden angemessen um Daten von heterogener Qualität zu verarbeiten. Des Weiteren bieten sie flexible Frameworks für das viele Erweiterungen vorstellbar sindUp-to-date 3D urban models are becoming increasingly important in various urban application areas, such as urban planning, virtual tourism, and navigation systems. Many of these applications often demand the modelling of 3D buildings, enriched with façade information, and also single trees among other urban objects. Nowadays, Mobile Laser Scanning (MLS) technique is being progressively used to capture objects in urban settings, thus becoming a leading data source for the modelling of these two urban objects. The 3D point clouds of urban scenes consist of large amounts of data representing numerous objects with significant size variability, complex and incomplete structures, and holes (noise and data gaps) or variable point densities. For this reason, novel strategies on processing of mobile laser scanning point clouds, in terms of the extraction and modelling of salient façade structures and trees, are of vital importance. The present study proposes two new methods for the reconstruction of building façades and the extraction of trees from MLS point clouds. The first method aims at the reconstruction of building façades with explicit semantic information such as windows, doors and balconies. It runs automatically during all processing steps. For this purpose, several algorithms are introduced based on the general knowledge on the geometric shape and structural arrangement of façade features. The initial classification has been performed using a local height histogram analysis together with a planar growing method, which allows for classifying points as object and ground points. The point cloud that has been labelled as object points is segmented into planar surfaces that could be regarded as the main entity in the feature recognition process. Knowledge of the building structure is used to define rules and constraints, which provide essential guidance for recognizing façade features and reconstructing their geometric models. In order to recognise features on a wall such as windows and doors, a hole-based method is implemented. Some holes that resulted from occlusion could subsequently be eliminated by means of a new rule-based algorithm. Boundary segments of a feature are connected into a polygon representing the geometric model by introducing a primitive shape based method, in which topological relations are analysed taking into account the prior knowledge about the primitive shapes. Possible outlines are determined from the edge points detected from the angle-based method. The repetitive patterns and similarities are exploited to rectify geometrical and topological inaccuracies of the reconstructed models. Apart from developing the 3D façade model reconstruction scheme, the research focuses on individual tree segmentation and derivation of attributes of urban trees. The second method aims at extracting individual trees from the remaining point clouds. Knowledge about trees specially pertaining to urban areas is used in the process of tree extraction. An innovative shape based approach is developed to transfer this knowledge to machine language. The usage of principal direction for identifying stems is introduced, which consists of searching point segments representing a tree stem. The output of the algorithm is, segmented individual trees that can be used to derive accurate information about the size and locations of each individual tree. The reliability of the two methods is verified against three different data sets obtained from different laser scanner systems. The results of both methods are quantitatively evaluated using a set of measures pertaining to the quality of the façade reconstruction and tree extraction. The performance of the developed algorithms referring to the façade reconstruction, tree stem detection and the delineation of individual tree crowns as well as their limitations are discussed. The results show that MLS point clouds are suited to document urban objects rich in details. From the obtained results, accurate measurements of the most important attributes relevant to the both objects (building façades and trees), such as window height and width, area, stem diameter, tree height, and crown area are obtained acceptably. The entire approach is suitable for the reconstruction of building façades and for the extracting trees correctly from other various urban objects, especially pole-like objects. Therefore, both methods are feasible to cope with data of heterogeneous quality. In addition, they provide flexible frameworks, from which many extensions can be envisioned
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Colaço, André Freitas. "Mobile terrestrial laser scanner for site-specific management in orange crop." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-23012017-151317/.
Повний текст джерелаАнотація:
Sensors based on LiDAR (Light Detection and Ranging) technology have the potential to provide accurate 3D models of the trees retrieving information such as canopy volume and height. This information can be used for diagnostics and prescriptions of fertilizers and plant protection products on a site-specific basis. This research aimed to investigate the use of LiDAR sensors in orange crops. Orange is one of the most important tree crop in Brazil. So far, research have developed and tested LiDAR based systems for several tree crops. However, usually individual trees or small field plots have been used. Therefore, several aspects related to data acquisition and processing must still be developed for large-scale application. The first study reported in this document (Chapter 3) aimed to develop and test a mobile terrestrial laser scanner (MTLS) and new data processing methods in order to obtain 3D models of large commercial orange groves and spatial information about canopy geometry. A 2D laser sensor and a RTK-GNSS receiver (Real Time Kinematics - Global Navigation Satellite System) were mounted on a vehicle. The data processing was based on generating a georeferenced point cloud, followed by the filtering, classification and surface reconstruction steps. A 25 ha commercial orange grove was used for field validation. The developed data acquisition and processing system was able to produce a reliable point cloud of the grove, providing high resolution canopy volume and height information. The choice of the type of point cloud classification (by individual trees or by transversal sections of the row) and the surface reconstruction algorithm is discussed in this study. The second study (Chapter 4) aimed to characterize the spatial variability of canopy geometry in commercial orange groves. Understanding such variability allows sensor-based variable rate application of inputs (i.e, applying proportional rates of inputs based on the variability of canopy size) to be considered as a suitable strategy to optimize the use of fertilizers and plant protection products. Five commercial orange groves were scanned with the developed MTLS system. According to the variability of canopy volume found in those groves, the input savings as a result of implementing sensor-based variable rate technologies were estimated in about 40%. The second goal of this study was to understand the relationship between canopy geometry and several other relevant attributes of the groves. The canopy volume and height maps of three groves were analyzed against historical yield maps, elevation, soil electrical conductivity, organic matter and clay content maps. The correlations found between canopy geometry and yield or soil maps varied from poor to strong correlations, depending on the grove. When classifying the groves into three classes according to canopy size, the yield performance and soil features inside each class was found to be significantly different, indicating that canopy geometry is a suitable variable to guide management zones delineation in one grove. Overall results from this research show the potential of MTLS systems and subsequent data analysis in orange crops indicating how canopy geometry information can be used in site-specific management practices.Sensores baseados em tecnologia LiDAR (Light Detection and Ranging) têm o potencial de fornecer modelos tridimensionais de árvores, provendo informações como o volume e altura de copa. Essas informações podem ser utilizadas em diagnósticos e recomendações localizadas de fertilizantes e defensivos agrícolas. Este estudo teve como objetivo investigar o uso de sensores LiDAR na cultura da laranja, uma das principais culturas de porte arbóreo no Brasil. Diversas pesquisas têm desenvolvido sistemas LiDAR para culturas arbóreas. Porém, normalmente tais sistemas são empregados em plantas individuais ou em pequenas áreas. Dessa forma, diversos aspectos da aquisição e processamento de dados ainda devem ser desenvolvidos para viabilizar a aplicação em larga escala. O primeiro estudo deste documento (Capítulo 3) focou no desenvolvimento de um sistema LiDAR (Mobile Terrestrial Laser Scanner - MTLS) e nova metodologia de processamento de dados para obtenção de informações acerca da geometria das copas em pomares comerciais de laranja. Um sensor a laser e um receptor RTK-GNSS (Real Time Kinematics - Global Navigation Satellite System) foram instalados em um veículo para leituras em campo. O processamento de dados foi baseado na geração de uma nuvem de pontos, seguida dos passos de filtragem, classificação e reconstrução da superfície das copas. Um pomar comercial de laranja de 25 ha foi utilizado para a validação. O sistema de aquisição e processamento de dados foi capaz de produzir uma nuvem de pontos representativa do pomar, fornecendo informação sobre geometria das plantas em alta resolução. A escolha sobre o tipo de classificação da nuvem de pontos (em plantas individuais ou em seções transversais das fileiras) e sobre o algoritmo de reconstrução de superfície, foi discutida nesse estudo. O segundo estudo (Capítulo 4) buscou caracterizar a variabilidade espacial da geometria de copa em pomares comerciais. Entender tal variabilidade permite avaliar se a aplicação em taxas variáveis de insumos baseada em sensores LiDAR (aplicar quantias de insumos proporcionais ao tamanho das copas) é uma estratégia adequada para otimizar o uso de insumos. Cinco pomares comerciais foram avaliados com o sistema MTLS. De acordo com a variabilidade encontrada, a economia de insumos pelo uso da taxa variável foi estimada em aproximadamente 40%. O segundo objetivo desse estudo foi avaliar a relação entre a geometria de copa e diversos outros parâmetros dos pomares. Os mapas de volume e altura de copa foram comparados aos mapas de produtividade, elevação, condutividade elétrica do solo, matéria orgânica e textura do solo. As correlações entre geometria de copa e produtividade ou fatores de solo variaram de fraca até forte, dependendo do pomar. Quando os pomares foram divididos entre três classes com diferentes tamanhos de copas, o desempenho em produtividade e as características do solo foram distintas entre as três zonas, indicando que parâmetros de geometria de copa são variáveis úteis para a delimitação de unidades de gestão diferenciada em um pomar. Os resultados gerais desta pesquisa mostraram o potencial de sistemas MTLS para pomares de laranja, indicando como a geometria de copa pode ser utilizada na gestão localizada de pomares de laranja.
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Vock, Dominik. "Automatic segmentation and reconstruction of traffic accident scenarios from mobile laser scanning data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141582.
Повний текст джерелаАнотація:
Virtual reconstruction of historic sites, planning of restorations and attachments of new building parts, as well as forest inventory are few examples of fields that benefit from the application of 3D surveying data. Originally using 2D photo based documentation and manual distance measurements, the 3D information obtained from multi camera and laser scanning systems realizes a noticeable improvement regarding the surveying times and the amount of generated 3D information. The 3D data allows a detailed post processing and better visualization of all relevant spatial information. Yet, for the extraction of the required information from the raw scan data and for the generation of useable visual output, time-consuming, complex user-based data processing is still required, using the commercially available 3D software tools.
In this context, the automatic object recognition from 3D point cloud and depth data has been discussed in many different works. The developed tools and methods however, usually only focus on a certain kind of object or the detection of learned invariant surface shapes. Although the resulting methods are applicable for certain practices of data segmentation, they are not necessarily suitable for arbitrary tasks due to the varying requirements of the different fields of research.
This thesis presents a more widespread solution for automatic scene reconstruction from 3D point clouds, targeting street scenarios, specifically for the task of traffic accident scene analysis and documentation. The data, obtained by sampling the scene using a mobile scanning system is evaluated, segmented, and finally used to generate detailed 3D information of the scanned environment.
To realize this aim, this work adapts and validates various existing approaches on laser scan segmentation regarding the application on accident relevant scene information, including road surfaces and markings, vehicles, walls, trees and other salient objects. The approaches are therefore evaluated regarding their suitability and limitations for the given tasks, as well as for possibilities concerning the combined application together with other procedures. The obtained knowledge is used for the development of new algorithms and procedures to allow a satisfying segmentation and reconstruction of the scene, corresponding to the available sampling densities and precisions.
Besides the segmentation of the point cloud data, this thesis presents different visualization and reconstruction methods to achieve a wider range of possible applications of the developed system for data export and utilization in different third party software tools.
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Alshawa, Majd. "Contribution à la cartographie mobile : développement et caractérisation d’un système basé sur un scanner laser terrestre." Strasbourg, 2009. https://publication-theses.unistra.fr/public/theses_doctorat/2010/ALSHAWA_Majd_2010.pdf.
Повний текст джерелаАнотація:
La cartographie mobile est un sujet qui se démocratise et gagne en maturité avec la demande croissante des données tridimensionnelles urbaines et périurbaines. La présente thèse aborde la conception d’un système de cartographie mobile terrestre à faible coût avec la particularité d’avoir adapté un scanner laser terrestre pour une utilisation en mode mobile à faible vitesse. Notre objectif n’est pas de rivaliser en termes de performances avec les systèmes commerciaux mais plutôt de s’approprier les compétences scientifiques et technologiques qui permettront de proposer des solutions dans le domaine de cartographie mobile. Les opérations préalables à la mise en route du système, tel que la synchronisation et l’étalonnage sont exposées. Puis, des méthodes basées sur l’ajustement des modèles polynomiaux sont développées pour convenir aux différents trajets parcourus. Les données issues des différents capteurs (GPS/AHRS/TLS) sont testées et filtrées avant de les intégrer dans l’équation de géoréférencement direct. Il en résulte un nuage de points corrigé. Une étude exhaustive sur l’effet des erreurs de chaque capteur sur le nuage de points résultant est établie. La précision théorique est confrontée avec des jeux des données de référence pour valider l’analyse des erreurs. Un appareil photo numérique calibré est intégré dans notre système en tant que capteur de navigation. Une solution photogrammétrique est proposée pour améliorer la précision de la trajectométrie préalablement calculée par l’intégration des données GPS/AHRS. Pour conclure la thèse, une ouverture vers la modélisation géométrique est proposée pour exploiter la géométrie et la précision des données laser terrestres fournies par le système. Le prototype développé permet de fournir des nuages de points d’une précision de l’ordre de 10 à 15cm à une distance moyenne de 20 mMobile mapping technology has been developing with the growing demand of three-dimensional urban and peri-urban data. This thesis approach is based on the design of a low cost terrestrial mobile mapping system with the adaptation of a Terrestrial Laser Scanner for low dynamics. Our goal is not to compete in performance with commercial systems but rather to appropriate scientific and technological skills which will help in proposing solutions in the field of mobile mapping. Necessary operational settings, such as synchronization and calibration are explained. Then, some methods based on the adjustment of polynomial models are developed according to the traveled paths. Data from various sensors (GPS/ AHRS/TLS) are filtered and tested before their integration by direct georeferencing equation in order to produce a correct point cloud. A comprehensive study on the influence of errors of each sensor on the resulting point cloud is established. The theoretical precision is compared with reference data in order to validate the error analyze. A digital calibrated camera is integrated in the system as a navigation sensor. A photogrammetric solution is proposed to improve the accuracy of the orientation and the position calculated by integrating GPS/ AHRS. At the end of this thesis, an approach towards automatic modeling is proposed to make use of the geometry and precision provided by the system. The designed prototype supplies point clouds whose precision is about 10 to15 cm at the average distance of 20 m
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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.
Повний текст джерелаАнотація:
Mestrado em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de LisboaLiDAR (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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Mulè, Leonardo. "Low-cost survey solutions to support HBIM - Two case studies: the Azurém Canteen and Paço dos Duques in Portugal." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Знайти повний текст джерелаАнотація:
Heritage Building Information Modelling is strongly connected with the need for accurate surveys, both because BIM models are not usually available and because of the historical buildings’ peculiarity. But acquiring those data demands the involvement of additional costly stakeholders, and that limits the widespread use of LiDAR technologies. New smart devices supplied with this technology may allow customers to acquire point clouds with a different approach, giving us more and more possibilities of easily acquiring a point cloud, possibly omitting the use of expensive equipment and the stakeholders (the surveyors) involved in their use; for example, the latest hardware installed by Apple on their devices come equipped with a LiDAR sensor and their patented True Depth algorithm, offering cheap alternatives in acquiring 3D scans. This thesis wants to deal with the comparison of different approaches of acquiring a point cloud, by exploring multiples possibilities and risks of using this new technology, starting from a review of the scientific literature on the subject, and then comparing the results of the different methodologies by using different point clouds realized by devices in three price range (namely a BLK2GO, a LEICA P20 laser scanner and an iPhone 12 PRO) using a series of buildings as case studies, focusing on heritage buildings. For this purpose, a series of scans will be analysed metrically and quantitatively, to understand their accuracy and recognize which level of accuracy (LOA) can be reached, and so understand which purpose this new low-priced technologies can be used for.
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Smearcheck, Mark A. "Investigation of Dual Airborne Laser Scanners for Detection and State Estimation of Mobile Obstacles in an Aircraft External Hazard Monitor." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1212687342.
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Achakir, Farouk. "Au delà du visible : reconstruction d'environnements par scanners laser et miroirs." Electronic Thesis or Diss., Amiens, 2021. http://www.theses.fr/2021AMIE0088.
Повний текст джерелаАнотація:
Ce travail de thèse porte sur la numérisation complète d'environnements vastes et complexes en utilisant un TLS ou un scanner mobile. Nous proposons un planificateur de vue multi-objectif adaptatif capable de fonctionner dans un environnement inconnu pour guider l'opérateur humain en mode "hors ligne" et faciliter la tâche de numérisation ou en mode "en ligne" avec un scanner embarqué sur un robot mobile pour une exploration automatique de l'environnement. La méthode proposée suppose que le scanner est déplacé sur une surface plane ce qui est fréquent dans les environnements d'intérieur, les zones urbaines, les espaces ouverts ou encore dans certaines applications du patrimoine culturel. Dans un premier temps, nous proposons une nouvelle stratégie d'exploration automatisée qui exploite des régions spécifiques de l'environnement, nommées "cellules conservatrices" pour réduire le nombre de déplacements du scanner et obtenir une numérisation complète de l'environnement. Ensuite, nous introduisons une approche pour améliorer le processus de numérisation en mode "hors ligne", en particulier lors de l'utilisation d'un TLS dans les grands environnements. Pour ce faire, nous avons proposé de combiner l'utilisation d'un scanner laser terrestre avec un robot mobile équipé d'un miroir plan. La méthode permet de réduire considérablement l'effort fourni par l'opérateur humain pour déplacer le scanner dans l'environnement et améliore le taux de complétude du nuage de points final. Les méthodes proposées dans cette thèse ont été validées avec des nuages de points simulés et réels avec un TLS et un robot mobile et montrent de bonnes performances en termes de taux de couverture et de temps de calcul par rapport à d'autres stratégies de planification de vues dans la littérature, mais aussi par rapport aux résultats obtenus par un opérateur humain expérimenté dans un environnement large et complexeThis PhD work investigates automatic digitization with complete coverage of large and complex environments using a terrestrial laser scanner (TLS) or a mobile scanner. We propose an adaptive multi-objective view-planner that can operate in an unknown environment to provide in offline mode guidance for the human operator and ease the scanning task or in online mode with a scanner embedded on a mobile robot for an automatic exploration of the environment. The proposed method assumes that the laser scanner is moved on a flat surface which is common in indoor environments, urban areas, open spaces or in various cultural heritage applications. First, we propose a novel exploration strategy that is completely automated and does not require extensive computations that uses specific regions of the environment called "Conservative-Cells" to drastically reduce the number of sensing positions to achieve complete digitization of the environment. Next, we present an approach to improve the scanning process in "offline" mode, especially when using a TLS in large environments. For this purpose, we suggested combining the use of a terrestrial laser scanner with a mobile robot equipped with a planar mirror. The result is a significant reduction in the effort required by the human operator to move the scanner in the environment and improve the completeness rate of the final point cloud. Proposed methods were validated with simulated and real point clouds on both TLS and mobile robot. The proposed approaches show efficient performance in terms of coverage rate and computational time compared to other view-planning approaches as well as the results of an experienced human operator in a large, complex environment
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Nalani, Hetti Arachchige [Verfasser], Hans-Gerd [Akademischer Betreuer] Maas, Eberhard [Akademischer Betreuer] Gülch, and Norbert [Akademischer Betreuer] Haala. "Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data / Hetti Arachchige Nalani. Gutachter: Hans-Gerd Maas ; Eberhard Gülch ; Norbert Haala. Betreuer: Hans-Gerd Maas." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://d-nb.info/1069093025/34.
Повний текст джерелаЧастини книг з теми "Mobile laser scanner (MLS)"
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Jensen, B., G. Ramel, and R. Siegwart. "Detecting Semi-static Objects with a Laser Scanner." In Autonome Mobile Systeme 2003, 21–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18986-9_3.
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Flores-Rodríguez, K. L., J. J. González-Barbosa, F. J. Ornelas-Rodríguez, J. B. Hurtado-Ramos, and P. A. Ramirez-Pedraza. "Road Signs Segmentation Through Mobile Laser Scanner and Imagery." In Advances in Computational Intelligence, 376–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60887-3_33.
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Phan, Anh Thu Thi, and Anh Vy Ngoc Huynh. "Automatic Extracting Road Edges from Mobile Laser Scanner Point Cloud." In Lecture Notes in Civil Engineering, 1624–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7434-4_175.
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Zuñiga-Noël, David, Jose-Raul Ruiz-Sarmiento, and Javier Gonzalez-Jimenez. "Intrinsic Calibration of Depth Cameras for Mobile Robots Using a Radial Laser Scanner." In Computer Analysis of Images and Patterns, 659–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29888-3_54.
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Liu, Tianyu, Ye Gu, Weihua Sheng, Yongqiang Li, and Yongsheng Ou. "Detection and Tracking of Moving Objects for Indoor Mobile Robots with a Low-Cost Laser Scanner." In Artificial Intelligence and Mobile Services – AIMS 2018, 243–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94361-9_19.
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Yu, Jinxia, Zixing Cai, and Zhuohua Duan. "Mobile Robot Self-localization Based on Feature Extraction of Laser Scanner Using Self-organizing Feature Mapping." In Advances in Neural Networks – ISNN 2007, 743–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72383-7_87.
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Donati Sarti, Giulio, Mauro Busa, Gabriele Garnero, Andrea Magnani, and Ivano Rossato. "An Open-Source Approach to Modelling and Analysing a Tree Detected with a Mobile Laser Scanner." In Geomatics for Green and Digital Transition, 275–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17439-1_20.
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Gonçalves, José, João Paulo Coelho, Manuel Braz-César, and Paulo Costa. "Performance Enhancement of a Neato XV-11 Laser Scanner Applied to Mobile Robot Localization: A Stochastic Modeling Approach." In Lecture Notes in Electrical Engineering, 49–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58653-9_5.
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Escolà, A., J. A. Martínez-Casasnovas, J. Rufat, A. Arbonés, R. Sanz, F. Sebé, J. Arnó, et al. "A mobile terrestrial laser scanner for tree crops: point cloud generation, information extraction and validation in an intensive olive orchard." In Precision agriculture '15, 337–44. The Netherlands: Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-814-8_41.
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Sahin, Cumhur, Bahadır Ergun, and 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.
Повний текст джерелаАнотація:
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.
Тези доповідей конференцій з теми "Mobile laser scanner (MLS)"
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Bianchini Ciampoli, Luca, Alessandro Calvi, Alessandro Di Benedetto, Margherita Fiani, and 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, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2599283.
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Cabo, Carlos, Silverio García-Cortés, Agustín Menéndez-Díaz, and Celestino Ordoñez. "Automatic road edge detection from Mobile Laser Scanning (MLS)." In Optics and Measurement 2016 International Conference, edited by Jana Kovacicinova. SPIE, 2016. http://dx.doi.org/10.1117/12.2257108.
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Podsedkowski, L., J. Nowakowski, M. Idzikowski, and I. Visvary. "Online navigation of mobile robots using laser scanner." In Proceedings of the First Workshop on Robot Motion and Control. RoMoCo'99 (Cat. No.99EX353). IEEE, 1999. http://dx.doi.org/10.1109/romoco.1999.791082.
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Sobreira, Heber, A. Paulo Moreira, Paulo Gomes Costa, and Jose Lima. "Robust Mobile Robot Localization Based on Security Laser Scanner." In 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2015. http://dx.doi.org/10.1109/icarsc.2015.28.
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Morita, Kakeru, Masafumi Hashimoto, and Kazuhiko Takahashi. "Point-Cloud Mapping and Merging Using Mobile Laser Scanner." In 2019 Third IEEE International Conference on Robotic Computing (IRC). IEEE, 2019. http://dx.doi.org/10.1109/irc.2019.00078.
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Wilson, Scott, Johan Potgieter, and Khalid Arif. "Floor surface mapping using mobile robot and 2D laser scanner." In 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2017. http://dx.doi.org/10.1109/m2vip.2017.8211508.
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Xiao, Qinghua, Fuchun Sun, Rui Ge, Kunlun Chen, and Bin Wang. "Human tracking and following of mobile robot with a laser scanner." In 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2017. http://dx.doi.org/10.1109/icarm.2017.8273243.
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Jianhua Wang, Bing Li, Weihai Chen, and Lixia Rong. "3D reconstruction embedded system based on laser scanner for mobile robot." In 2008 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2008. http://dx.doi.org/10.1109/iciea.2008.4582604.
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zhang, Heng, Yanhong Ge, and Wenfeng Li. "Human Following of Mobile Robot With a Low-cost Laser Scanner." In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. http://dx.doi.org/10.1109/smc.2019.8914440.
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El-Halawany, Sherif Ibrahim, and Derek D. Lichti. "Detection of Road Poles from Mobile Terrestrial Laser Scanner Point Cloud." In 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM). IEEE, 2011. http://dx.doi.org/10.1109/m2rsm.2011.5697364.
Повний текст джерелаЗвіти організацій з теми "Mobile laser scanner (MLS)"
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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.
Повний текст джерелаАнотація:
The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.
Повний текст джерелаАнотація:
The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.