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LDAT : = A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
LDAT :/
其他題名:
A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
作者:
Munoz, Andrew Edward.
面頁冊數:
1 online resource (128 pages)
附註:
Source: Masters Abstracts International, Volume: 83-04.
Contained By:
Masters Abstracts International83-04.
標題:
Transportation. -
電子資源:
click for full text (PQDT)
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. - 1 online resource (128 pages)
Source: Masters Abstracts International, Volume: 83-04.
Thesis (M.S.)--University of Nevada, Reno, 2021.
Includes bibliographical references
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.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798460434862Subjects--Topical Terms:
558117
Transportation.
Subjects--Index Terms:
Data analysisIndex Terms--Genre/Form:
554714
Electronic books.
LDAT : = A Web Data Visualization Tool for LiDAR Point Cloud Data Analysis.
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Advisor: Harris, Frederick C., Jr.;Dascalu, Sergiu M.
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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.
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