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LDAT: A Web Data Visualization Tool ...

Munoz, Andrew Edward.

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LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis./
作者:	Munoz, Andrew Edward.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	128 p.
附註:	Source: Masters Abstracts International, Volume: 83-04.
Contained By:	Masters Abstracts International83-04.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716997
ISBN:	9798460434862

LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
Munoz, Andrew Edward.

LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 128 p.

Source: Masters Abstracts International, Volume: 83-04.

Thesis (M.S.)--University of Nevada, Reno, 2021.

Light Detection and Ranging (LiDAR) sensors have been employed in many different ways over time and continue to be utilized today. These sensors produce point clouds which are large and complex data sets that are a collection of position points across a 3D space. The research presented in this thesis focuses on the analysis and visualization of LiDAR point cloud data. The data obtained for this project is from LiDAR sensors located on street lights on Virginia Street to analyze traffic information. A web tool was developed to analyze and visualize this data, ensuing in an interactive and readable representation of the data. In order to ensure the effectiveness of the tool, a user study was conducted to test the functionality and assess possible improvements. This thesis aims to provide a template for creating an effective and a useful data visualization tool in an increasingly data-driven society.

ISBN: 9798460434862Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Data analysis

LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
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245 1 0 $a LDAT: A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 128 p.
500 $a Source: Masters Abstracts International, Volume: 83-04.
500 $a Advisor: Harris, Frederick C., Jr.;Dascalu, Sergiu M.
502 $a Thesis (M.S.)--University of Nevada, Reno, 2021.
520 $a Light Detection and Ranging (LiDAR) sensors have been employed in many different ways over time and continue to be utilized today. These sensors produce point clouds which are large and complex data sets that are a collection of position points across a 3D space. The research presented in this thesis focuses on the analysis and visualization of LiDAR point cloud data. The data obtained for this project is from LiDAR sensors located on street lights on Virginia Street to analyze traffic information. A web tool was developed to analyze and visualize this data, ensuing in an interactive and readable representation of the data. In order to ensure the effectiveness of the tool, a user study was conducted to test the functionality and assess possible improvements. This thesis aims to provide a template for creating an effective and a useful data visualization tool in an increasingly data-driven society.
590 $a School code: 0139.
650 4 $a Computer science. $3 523869
650 4 $a Geographic information science. $3 3432445
650 4 $a Transportation. $3 555912
653 $a Data analysis
653 $a Data visualization
653 $a Human Computer Interaction
653 $a LiDAR
653 $a Point clouds
653 $a Web Interface
690 $a 0984
690 $a 0370
690 $a 0709
710 2 $a University of Nevada, Reno. $b Computer Science. $3 1023861
773 0 $t Masters Abstracts International $g 83-04.
790 $a 0139
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716997