HTML5 Based 3D Visualization of High Density LiDAR Data and Color Information for Agriculture Applications

Mao, Bo; Cao, Jie

doi:10.1007/978-3-642-41629-3_13

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…In 2012, Lewis et al [4] proposed a framework for LiDAR data storage, segmentation, and web-based streaming. Over the following years, Mao and Cao [5] proposed a method of remote 3D visualization of LiDAR data using HyperText Markup Language version 5 (HTML5) technologies, Maravelakis et al [6] presented the Web-based point-cloud viewer utilising the Three.js Web Graphics Library (WebGL) Abstraction Layer, Nale [7] designed a framework for processing, querying, and web-based streaming of LiDAR data, Li et al [8] proposed a framework for online LiDAR data processing that is based on Apache Hadoop, while von Schwerin et al [9] presented a system for 3D visualization of pre-processed LiDAR data using WebGL. More recently, Schmiemann et al [10] proposed a method for online mapping of data directly obtained form Unmanned Aerial Vehicles (UAV's), Huang and Wang proposed a system for online processing and the visualization of LiDAR point clouds using WebGL [11], while Bohak et al [12] presented a framework for online 3D visualization of LiDAR data while using Three.js and Potree.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

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

Kulawiak

Łubniewski

2019

IJGI

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

Kulawiak

2016

Lecture Notes in Geoinformation and Cartography

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Methodology of real-time 3D point cloud mapping with UAV lidar

Candan

Kacar

2023

International Journal of Engineering and Geosciences

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Accurate and timely availability of LiDAR data is vital in some cases. To facilitate monitoring of any environmental changes, LiDAR systems can be designed, carried by UAV platforms that can take off without major preparation. This study, a real-time mapping system was designed that shortens the processes of target-based flight planning and post-flight data processing. With this developed real-time LiDAR mapping system in laboratory, data is obtained instantly, so that the change in the area in question can be detected and fast solutions can be produced to the problems. In our simulation system, we have developed, besides the production of an instant 3D point cloud, this data is also instantly stored in a database for later analysis. The X3D scene we use in our study to produce 3D point data provide an infrastructure for AI and ML-based systems in identifying urban objects in systems containing big data such as LiDAR.

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HTML5 Based 3D Visualization of High Density LiDAR Data and Color Information for Agriculture Applications

Cited by 3 publications

References 7 publications

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

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

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

Methodology of real-time 3D point cloud mapping with UAV lidar

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