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International Conference on Augmented Reality, Virtual Reality and Computer Graphics

AVR 2018: Augmented Reality, Virtual Reality, and Computer Graphics pp 214–224Cite as

Web-Based Real-Time LADAR Data Visualization with Multi-user Collaboration Support

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10850))

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.

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Notes

  1. 1.

    The application is developed in C++ and does was not developed as part of the presented work.

  2. 2.

    https://nodejs.org/.

  3. 3.

    http://socket.io/.

  4. 4.

    https://www.postgresql.org/.

  5. 5.

    https://github.com/pgpointcloud/pointcloud.

  6. 6.

    https://angular.io/.

  7. 7.

    http://getbootstrap.com/.

  8. 8.

    https://threejs.org.

  9. 9.

    https://www.liblas.org/samples/.

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Author information

Authors and Affiliations

  1. Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1000, Ljubljana, Slovenia

    Ciril Bohak

  2. School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu, Korea

    Byeong Hak Kim & Min Young Kim

Authors
  1. Ciril Bohak
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  2. Byeong Hak Kim
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  3. Min Young Kim
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Corresponding author

Correspondence to Ciril Bohak .

Editor information

Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

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Cite this paper

Bohak, C., Kim, B.H., Kim, M.Y. (2018). Web-Based Real-Time LADAR Data Visualization with Multi-user Collaboration Support. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10850. Springer, Cham. https://doi.org/10.1007/978-3-319-95270-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-95270-3_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95269-7

  • Online ISBN: 978-3-319-95270-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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