Application of Web-GIS for Dissemination and 3D Visualization of Large-Volume LiDAR Data

Kulawiak, Marcin

doi:10.1007/978-3-319-45123-7_1

Cited by 14 publications

(11 citation statements)

References 7 publications

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“…Moreover, on-site visualization of collected data has only been available using a laptop or a terminal device acting as a client for a cloud-based processing system [14]. However, recent developments in modern libraries dedicated to processing of geographical data have introduced the potential of collection, display and analysis of spatial data within a single instance of a Geographic Information System (GIS) [15,16]. In addition, the successive advancements in the development of high-performance mobile devices has opened a pathway to the integration of data collection, storage, visualization and analysis on a single battery-powered device.…”

Section: Introductionsupporting

confidence: 51%

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Kulawiak¹,

Wycinka²

2017

Metrology and Measurement Systems

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Bluetooth beacons are becoming increasingly popular for various applications such as marketing or indoor navigation. However, designing a proper beacon installation requires knowledge of the possible sources of interference in the target environment. While theoretically beacon signal strength should decay linearly with log distance, on-site measurements usually reveal that noise from objects such as Wi-Fi networks operating in the vicinity significantly alters the expected signal range. The paper presents a novel mobile Geographic Information System for measurement, mapping and local as well as online storage of Bluetooth beacon signal strength in semireal time. For the purpose of on-site geovisual analysis of the signal, the application integrates a dedicated interpolation algorithm optimized for low-power devices. The paper discusses the performance and quality of the mapping algorithms in several different test environments.

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Section: Introductionsupporting

confidence: 51%

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Kulawiak¹,

Wycinka²

2017

Metrology and Measurement Systems

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“…The authors of the popular Cesium library have proposed the standard, named 3D Tiles, which is an open source library for the 3D visualization of geospatial data [19]. As such, Cesium provides excellent support for the online visualization of geographic information in the 3D Tiles format, which enables the construction of open source Web-based Geographic Information System (Web-GIS) applications for the dissemination of large-volume 3D data [20]. Recently, version 1.0 of the 3D Tiles specification has entered the process to become an OGC Community Standard [21].…”

Section: Introductionmentioning

confidence: 99%

“…Due to the presented system being designed to store data obtained from surveys that were made in various locations and on a varied scale, the results are uniformly divided in space and stored in the context of a regular grid with a tile size of 20 × 20 m (400 m 2 ). Previous research has shown that, for dense point clouds, this tile size enables the coverage of a relatively large area with a single tile, while ensuring that its physical size is small enough to be easily transferred over the web [20]. Every processed dataset is subdivided into appropriate sections of the grid, with every section being defined by its own JSON-based tile set definition file.…”

mentioning

confidence: 99%

Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS

Kulawiak

Łubniewski

2019

IJGI

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The rapid increase in applications of Light Detection and Ranging (LiDAR) scanners, followed by the development of various methods that are dedicated for survey data processing, visualization, and dissemination constituted the need of new open standards for storage and online distribution of collected three-dimensional data. However, over a decade of research in the area has resulted in a number of incompatible solutions that offer their own ways of disseminating results of LiDAR surveys (be it point clouds or reconstructed three-dimensional (3D) models) over the web. The article presents a unified system for remote processing, storage, visualization, and dissemination of 3D LiDAR survey data, including 3D model reconstruction. It is built with the use of open source technologies and employs open standards, such as 3D Tiles, LASer (LAS), and Object (OBJ) for data distribution. The system has been deployed for automatic organization, processing, and dissemination of LiDAR surveys that were performed in the city of Gdansk. The performance of the system has been measured using a selection of LiDAR datasets of various sizes. The system has shown to considerably simplify the process of data organization and integration, while also delivering tools for easy discovery, inspection, and acquisition of desired datasets.

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“…At the same time, the over terrestrial LiDAR (Light Detection And Ranging) scanning applications include the creation of detailed 3D topographic maps [4], modelling of various processes and phenomena related to the area of research in urban areas [3] or local prediction of the accuracy of satellite navigation systems when taking into account obstructions such as satellite coverage and multipath signal propagation, the protection of critical infrastructures, the creation of 3D terrain visualization systems dedicated for various purposes (e.g. supporting the training of emergency services with the use of real-field simulation [8]), the recreation of detailed digital models depicting architectural monuments, allowing for their later restoration in the case of damage or destruction.…”

Section: Introductionmentioning

confidence: 99%

“…Attempts to recover the higher order geometric structures of underwater objects are not widely reported in literature. Notable methods include analysing the adjacency of points in a dataset and detecting the acoustic shadow zones [4], dividing the data into several blocks and constructing Delaunay triangulations in sub-blocks individually [16], integration of data obtained by both acoustic and optical sensors through geometrical correspondences and registration [10] as well as adopting a stereo-like vision approach based on image matching [17].…”

Section: Introductionmentioning

confidence: 99%

3D Object Shape Reconstruction from Underwater Multibeam Data and Over Ground Lidar Scanning

Kulawiak

Łubniewski

2018

Polish Maritime Research

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The technologies of sonar and laser scanning are an efficient and widely used source of spatial information with regards to underwater and over ground environment respectively. The measurement data are usually available in the form of groups of separate points located irregularly in three-dimensional space, known as point clouds. This data model has known disadvantages, therefore in many applications a different form of representation, i.e. 3D surfaces composed of edges and facets, is preferred with respect to the terrain or seabed surface relief as well as various objects shape. In the paper, the authors propose a new approach to 3D shape reconstruction from both multibeam and LiDAR measurements. It is based on a multiple-step and to some extent adaptive process, in which the chosen set and sequence of particular stages may depend on a current type and characteristic features of the processed data. The processing scheme includes: 1) pre-processing which may include noise reduction, rasterization and pre-classification, 2) detection and separation of objects for dedicated processing (e.g. steep walls, masts), and 3) surface reconstruction in 3D by point cloud triangulation and with the aid of several dedicated procedures. The benefits of using the proposed methods, including algorithms for detecting various features and improving the regularity of the data structure, are presented and discussed. Several different shape reconstruction algorithms were tested in combination with the proposed data processing methods and the strengths and weaknesses of each algorithm were highlighted.

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Application of Web-GIS for Dissemination and 3D Visualization of Large-Volume LiDAR Data

Cited by 14 publications

References 7 publications

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Dynamic Signal Strength Mapping and Analysis by Means of Mobile Geographic Information System

Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS

3D Object Shape Reconstruction from Underwater Multibeam Data and Over Ground Lidar Scanning

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