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A Method of Representing Sensors in 3D Virtual Environments

3D 가상공간에서의 센서 표현 방법

  • Received : 2018.07.20
  • Accepted : 2018.08.31
  • Published : 2018.09.01

Abstract

Applications about systems integration of sensors and virtual environments have been developed increasingly. Accordingly, there is a need for the ability to represent, control, and manage physical sensors directly in a 3D virtual environment. In this research, a method of representing physical sensor devices in a 3D virtual environment has been defined using mixed and augmented reality, including virtual and real worlds, where sensors and virtual objects co-exist. The research is intended to control and manage various physical sensors through data sharing and interchange between heterogeneous computing environments. In order to achieve this, general sensor types have been classified, and a sensor based 3D scene graph for representing the functions of sensors has been defined. In addition, a sensor data model has been defined using the scene graph. Finally, a sensor 3D viewer has been implemented based on the scene graph and the data model so as to simulate the functions of sensors in indoor and outdoor 3D environments.

최근 센서와 가상공간의 융합 어플리케이션 개발이 증가함에 따라 실제 공간에서의 물리적 센서를 3 차원 가상공간에서 표현하고 직접 제어, 관리할 수 있는 방법에 대한 요구도 증가하고 있다. 본 연구에서는 물리적 센서와 가상공간의 디지털 객체가 공존하며 시각화를 생성하는 가상세계와 현실세계를 혼합한 증강 현실을 이용하여, 3D 가상공간에서의 물리적 센서 장치를 표현하는 기법을 정의한다. 이것은 이기종 컴퓨팅 환경에서 증강 혼합현실 응용프로그램에서의 데이터 공유와 상호 교환을 통하여 네트워크상의 다양한 물리 센서들을 관리 제어하는 것을 목적으로 한다. 현실 세계에 존재하는 수많은 센서들을 구분하기 위하여 대표적인 센서 타입을 분류하고 센서별 기능을 3D 가상공간에 표현하기 위한 센서 장면 그래프를 정의하고 데이터 모델을 정의하였다. 이를 기반으로 3D 가상공간에서 센서 장치들의 기능을 시뮬레이션 할 수 있는 물리적 센서 뷰어를 개발하였다.

Keywords

References

  1. F. Zhou, H. Duh, M. Billinghurst, "Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR", 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 193-202, 2008
  2. D. Hong, J. Looser, H. Seichter, M. Billinghurst, W. Woo, "A Sensor-Based Interaction for Ubiquitous Virtual Reality Systems," isuvr, 2008 International Symposium on Ubiquitous Virtual Reality, pp. 75-78, 2008.
  3. C. Richter, "Visualizing Sensor Data", Media Informatics Advanced Seminar on Information Visualization, 2008/2009.
  4. D. Cook. Making Sense of Sensor Data. IEEE PERVASIVE COMPUTING, pp. 105-108, 2007.
  5. Sunnyvale, "Modeling and Simulation of Dynamical Systems", IEEE Control Systems Society Santa Clara Valley, 2011.
  6. Bashima Islam, Md Tamzeed Islam, Shahriar Nirjon, "Glimpse. 3D: a motion-generated stereo body camera for 3D experience capture and peview", IPSN'18: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IEEE Press, April 2018.
  7. Arne Broring, David Vial, Thorsten Reitz, "Processing Real-Time Sensor Data Streams for 3D Web Visualization", IWGS'14 Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming, pp. 72-80, November 2014.
  8. Mike Botts, Alexandre Robin, "OpenGIS Sensor Model Language Implementation Specification", Open Geospatial Consortium, OGC 07-000, 2007. 07. 17.
  9. Arne Broring, Johannes Echterhoff, Simon Jirka, Ingo Simonis, Thomas Everding, Christoph Stasch, Steve Liang and Rob Lemmens, "New Generation Sensor Web Enablement", Sensors, ISSN 1424-8220, 2652-2699, 2011.
  10. HyungSeok Kim , Hanku Lee, Sung-Ryul Kim, "VRBased Sensor Management System for USN-Based Air Quality Monitoring", Computer Sciences and Convergence Information Technology. pp. 330-334, 2009.
  11. Myeong Won Lee, Kwan-Hee Yoo, Gerard J. Kim, "A Standard Reference Model for Generic Sensors and Events in Mixed and Augmented Reality", The 6th Korea-Japan Workshop on Mixed Reality (KJMR 2013), 2013.