Web-based real-time LADAR data visualization with multi-user collaboration support

Ciril Bohak; Byeong Hak Kim; Min Young Kim

doi:10.1007/978-3-319-95270-3_17

Web-based real-time LADAR data visualization with multi-user collaboration support

Ciril Bohak, Byeong Hak Kim, Min Young Kim

School of Electronics Engineering

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

3 Scopus citations

Abstract

In this paper we present a web-based visualization system developed for visualizing real-time point cloud data obtained from LADAR (or other) sensors. The system allows direct visualization of captured data, visualization of data from database or visualization of preprocessed data (e.g. labeled or classified data). The system allows the concurrent visualization from same or different data-sources on multiple clients in the web browser. Due to the use of modern web technologies the client can also be used on mobile devices. The system is developed using modern client- and server-side web technologies. The system allows connection with an existing LADAR sensor grabber applications through use of UDP sockets. Both server- and client-side parts of the system are modular and allow the integration of newly developed modules and designing a specific work-flow scenarios for target end-user groups. The system allows the interactive visualization of datasets with millions of points as well as streaming visualization with high throughput speeds.

Original language	English
Title of host publication	Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings
Editors	Lucio Tommaso De Paolis, Patrick Bourdot
Publisher	Springer Verlag
Pages	214-224
Number of pages	11
ISBN (Print)	9783319952697
DOIs	https://doi.org/10.1007/978-3-319-95270-3_17
State	Published - 2018
Event	5th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, SALENTO AVR 2018 - Otranto, Italy Duration: 24 Jun 2018 → 27 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10850 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, SALENTO AVR 2018
Country/Territory	Italy
City	Otranto
Period	24/06/18 → 27/06/18

Keywords

Data visualization
LADAR
LiDAR
Point cloud data
WebGL

Access to Document

10.1007/978-3-319-95270-3_17

Cite this

Bohak, C., Kim, B. H., & Kim, M. Y. (2018). Web-based real-time LADAR data visualization with multi-user collaboration support. In L. T. De Paolis, & P. Bourdot (Eds.), Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings (pp. 214-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10850 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-95270-3_17

Bohak, Ciril ; Kim, Byeong Hak ; Kim, Min Young. / Web-based real-time LADAR data visualization with multi-user collaboration support. Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings. editor / Lucio Tommaso De Paolis ; Patrick Bourdot. Springer Verlag, 2018. pp. 214-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e4b675ae3fe74288a21965c37534488f,

title = "Web-based real-time LADAR data visualization with multi-user collaboration support",

abstract = "In this paper we present a web-based visualization system developed for visualizing real-time point cloud data obtained from LADAR (or other) sensors. The system allows direct visualization of captured data, visualization of data from database or visualization of preprocessed data (e.g. labeled or classified data). The system allows the concurrent visualization from same or different data-sources on multiple clients in the web browser. Due to the use of modern web technologies the client can also be used on mobile devices. The system is developed using modern client- and server-side web technologies. The system allows connection with an existing LADAR sensor grabber applications through use of UDP sockets. Both server- and client-side parts of the system are modular and allow the integration of newly developed modules and designing a specific work-flow scenarios for target end-user groups. The system allows the interactive visualization of datasets with millions of points as well as streaming visualization with high throughput speeds.",

keywords = "Data visualization, LADAR, LiDAR, Point cloud data, WebGL",

author = "Ciril Bohak and Kim, {Byeong Hak} and Kim, {Min Young}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 5th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, SALENTO AVR 2018 ; Conference date: 24-06-2018 Through 27-06-2018",

year = "2018",

doi = "10.1007/978-3-319-95270-3_17",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Bohak, C, Kim, BH & Kim, MY 2018, Web-based real-time LADAR data visualization with multi-user collaboration support. in LT De Paolis & P Bourdot (eds), Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10850 LNCS, Springer Verlag, pp. 214-224, 5th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, SALENTO AVR 2018, Otranto, Italy, 24/06/18. https://doi.org/10.1007/978-3-319-95270-3_17

Web-based real-time LADAR data visualization with multi-user collaboration support. / Bohak, Ciril; Kim, Byeong Hak; Kim, Min Young.
Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings. ed. / Lucio Tommaso De Paolis; Patrick Bourdot. Springer Verlag, 2018. p. 214-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10850 LNCS).

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

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AU - Kim, Byeong Hak

AU - Kim, Min Young

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - In this paper we present a web-based visualization system developed for visualizing real-time point cloud data obtained from LADAR (or other) sensors. The system allows direct visualization of captured data, visualization of data from database or visualization of preprocessed data (e.g. labeled or classified data). The system allows the concurrent visualization from same or different data-sources on multiple clients in the web browser. Due to the use of modern web technologies the client can also be used on mobile devices. The system is developed using modern client- and server-side web technologies. The system allows connection with an existing LADAR sensor grabber applications through use of UDP sockets. Both server- and client-side parts of the system are modular and allow the integration of newly developed modules and designing a specific work-flow scenarios for target end-user groups. The system allows the interactive visualization of datasets with millions of points as well as streaming visualization with high throughput speeds.

AB - In this paper we present a web-based visualization system developed for visualizing real-time point cloud data obtained from LADAR (or other) sensors. The system allows direct visualization of captured data, visualization of data from database or visualization of preprocessed data (e.g. labeled or classified data). The system allows the concurrent visualization from same or different data-sources on multiple clients in the web browser. Due to the use of modern web technologies the client can also be used on mobile devices. The system is developed using modern client- and server-side web technologies. The system allows connection with an existing LADAR sensor grabber applications through use of UDP sockets. Both server- and client-side parts of the system are modular and allow the integration of newly developed modules and designing a specific work-flow scenarios for target end-user groups. The system allows the interactive visualization of datasets with millions of points as well as streaming visualization with high throughput speeds.

KW - Data visualization

KW - LADAR

KW - LiDAR

KW - Point cloud data

KW - WebGL

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M3 - Conference contribution

AN - SCOPUS:85050367700

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Y2 - 24 June 2018 through 27 June 2018

ER -

Bohak C, Kim BH, Kim MY. Web-based real-time LADAR data visualization with multi-user collaboration support. In De Paolis LT, Bourdot P, editors, Augmented Reality, Virtual Reality, and Computer Graphics - 5th International Conference, AVR 2018, Proceedings. Springer Verlag. 2018. p. 214-224. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-95270-3_17

Web-based real-time LADAR data visualization with multi-user collaboration support

Abstract

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Keywords

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