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2022 | OriginalPaper | Chapter

36. LDAT: A LIDAR Data Analysis and Visualization Tool

Authors : Andrew Muñoz, Chase Carthen, Vinh Le, Scotty D. Strachan, Sergiu M. Dascalu, Frederick C. Harris

Published in: ITNG 2022 19th International Conference on Information Technology-New Generations

Publisher: Springer International Publishing

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Abstract

The chapter 'LDAT: A LiDAR Data Analysis and Visualization Tool' delves into the development and application of LDAT, a web-based tool designed to process and visualize LiDAR data. LDAT is built on the Angular and Flask web frameworks, allowing it to handle and analyze near real-time point cloud data from street-based LiDAR sensors. The tool's architecture is designed for scalability and efficiency, utilizing MQTT Broker for data transmission and Docker containers for portability. The chapter also presents a user study that evaluated the usability and effectiveness of LDAT, highlighting its potential to revolutionize real-time traffic monitoring and object detection. The detailed description of the system's design, data workflow, and user feedback makes this chapter a valuable resource for professionals interested in advanced data analysis and visualization techniques.
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Metadata
Title
LDAT: A LIDAR Data Analysis and Visualization Tool
Authors
Andrew Muñoz
Chase Carthen
Vinh Le
Scotty D. Strachan
Sergiu M. Dascalu
Frederick C. Harris
Copyright Year
2022
Book
ITNG 2022 19th International Conference on Information Technology-New Generations

Print ISBN: 978-3-030-97651-4

Electronic ISBN: 978-3-030-97652-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-97652-1_36

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