3D Visualization of Point Clouds Using HTML5 and WebGL

Huang, Junjie; Wang, Jia

doi:10.22323/1.299.0064

Cited by 1 publication

(1 citation statement)

References 2 publications

(3 reference statements)

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“…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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