An efficient implenentation of lidar data and its geometric representation extraction

Byeonguk Im; Nakhoon Baek; Joongin Lee

doi:10.1109/ICITCS.2016.7740311

An efficient implenentation of lidar data and its geometric representation extraction

Byeonguk Im, Nakhoon Baek, Joongin Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In these days, we have lots of LiDAR (Light Detection And Ranging) data, for applications of high-resolution maps, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, airborne laser swath mapping, laser altimetry, and others. One of current research and industrial issues is efficient ways of storing the LiDAR data itself, and also elegant ways of extracting geometric primitives from 3D point clouds of LiDAR data. In this paper, we analyze the characteristics of LiDAR data and tis storage schemes. Based on them, we present our own way of combining the existing general purpose solutions to achieve our special purpose implementation. We achieved reasonable solutions in a very short period and with very limited budgets.

Original language	English
Title of host publication	2016 6th International Conference on IT Convergence and Security, ICITCS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509037643
DOIs	https://doi.org/10.1109/ICITCS.2016.7740311
State	Published - 9 Nov 2016
Event	6th International Conference on IT Convergence and Security, ICITCS 2016 - Prague, Czech Republic Duration: 26 Sep 2016 → 29 Sep 2016

Publication series

Name	2016 6th International Conference on IT Convergence and Security, ICITCS 2016

Conference

Conference	6th International Conference on IT Convergence and Security, ICITCS 2016
Country/Territory	Czech Republic
City	Prague
Period	26/09/16 → 29/09/16

Keywords

Efficient processing
Geometric primitive
LiDAR
Light Detection And Ranging

Access to Document

10.1109/ICITCS.2016.7740311

Cite this

Im, B., Baek, N., & Lee, J. (2016). An efficient implenentation of lidar data and its geometric representation extraction. In 2016 6th International Conference on IT Convergence and Security, ICITCS 2016 Article 7740311 (2016 6th International Conference on IT Convergence and Security, ICITCS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITCS.2016.7740311

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abstract = "In these days, we have lots of LiDAR (Light Detection And Ranging) data, for applications of high-resolution maps, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, airborne laser swath mapping, laser altimetry, and others. One of current research and industrial issues is efficient ways of storing the LiDAR data itself, and also elegant ways of extracting geometric primitives from 3D point clouds of LiDAR data. In this paper, we analyze the characteristics of LiDAR data and tis storage schemes. Based on them, we present our own way of combining the existing general purpose solutions to achieve our special purpose implementation. We achieved reasonable solutions in a very short period and with very limited budgets.",

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Im, B, Baek, N & Lee, J 2016, An efficient implenentation of lidar data and its geometric representation extraction. in 2016 6th International Conference on IT Convergence and Security, ICITCS 2016., 7740311, 2016 6th International Conference on IT Convergence and Security, ICITCS 2016, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on IT Convergence and Security, ICITCS 2016, Prague, Czech Republic, 26/09/16. https://doi.org/10.1109/ICITCS.2016.7740311

An efficient implenentation of lidar data and its geometric representation extraction. / Im, Byeonguk; Baek, Nakhoon; Lee, Joongin.
2016 6th International Conference on IT Convergence and Security, ICITCS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7740311 (2016 6th International Conference on IT Convergence and Security, ICITCS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Baek, Nakhoon

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N2 - In these days, we have lots of LiDAR (Light Detection And Ranging) data, for applications of high-resolution maps, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, airborne laser swath mapping, laser altimetry, and others. One of current research and industrial issues is efficient ways of storing the LiDAR data itself, and also elegant ways of extracting geometric primitives from 3D point clouds of LiDAR data. In this paper, we analyze the characteristics of LiDAR data and tis storage schemes. Based on them, we present our own way of combining the existing general purpose solutions to achieve our special purpose implementation. We achieved reasonable solutions in a very short period and with very limited budgets.

AB - In these days, we have lots of LiDAR (Light Detection And Ranging) data, for applications of high-resolution maps, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, airborne laser swath mapping, laser altimetry, and others. One of current research and industrial issues is efficient ways of storing the LiDAR data itself, and also elegant ways of extracting geometric primitives from 3D point clouds of LiDAR data. In this paper, we analyze the characteristics of LiDAR data and tis storage schemes. Based on them, we present our own way of combining the existing general purpose solutions to achieve our special purpose implementation. We achieved reasonable solutions in a very short period and with very limited budgets.

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Im B, Baek N, Lee J. An efficient implenentation of lidar data and its geometric representation extraction. In 2016 6th International Conference on IT Convergence and Security, ICITCS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7740311. (2016 6th International Conference on IT Convergence and Security, ICITCS 2016). doi: 10.1109/ICITCS.2016.7740311

An efficient implenentation of lidar data and its geometric representation extraction

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