DOI QR코드

DOI QR Code

Estimation of the User's Location/Posture for Mobile Augmented Reality

모바일 증강현실 구현을 위한 사용자의 위치/자세 추정

  • 김주영 (홍익대학교 기계공학과) ;
  • 이수용 (홍익대학교 기계시스템디자인공학과)
  • Received : 2012.08.27
  • Accepted : 2012.09.25
  • Published : 2012.11.01

Abstract

Augmented Reality is being widely used not only for Smartphone users but also in industries such as maintenance, construction area. With smartphone, due to the low localization accuracy and the requirement of special infrastructure, current LBS (Localization Based Service) is limited to show P.O.I. (Point of Interest) nearby. Improvement of IMU (Inertial Measurement Unit) based deadreckoning is presented in this paper. Additional sensors such as the magnetic compass and magnetic flux sensors are used as well as the accelerometer and the gyro for getting more movement information. Based on the pedestrian movement, appropriate sensor information is selected and the complementary filter is used in order to enhance the accuracy of the localization. Additional sensors are used to measure the movements of the upper body and the head and to provide the user's line of sight.

Acknowledgement

Supported by : 한국연구재단

References

  1. H. Chun, "Mobile augmented reality," Weekly Technology Review (in Korean), National IT Industry Promotion Agency, vol. 1447, pp. 25-37, 2010.
  2. H. Kim, et al., "Short distance localization technology review," Weekly Technology Review (in Korean), National IT Industry Promotion Agency, vol. 1322, pp. 1-13, 2007.
  3. J. S. Cha, et al., "Technology trend of active RFID-based realtime locating systems," Electronics and Telecommunications Trends (in Korean), ETRI, vol. 24, no. 5, pp. 87-97, Oct. 2009.
  4. I. Hong, "WPS: from vehicle navigation to pedestrian navigation," SW Insight (in Korean), National IT Industry Promotion Agency, pp. 36-53, Aug. 2009.
  5. Skyhook Wireless, http://www.skyhookwireless.com
  6. H. S. Ahn, et al., "Indoor localization technique for intelligent robotic space," Electronics and Telecommunications Trends (in Korean), ETRI, vol. 22, no. 2, pp. 48-57, Apr. 2007.
  7. Y. S. Cho, et al., "Technical trend of indoor/outdoor seamless positioning," Electronics and Telecommunications Trends (in Korean), ETRI, vol. 22, no. 3, pp. 20-28, Jun. 2007.
  8. Intelligent Service Integration Laboratory, KAIST, http://isilab.kaist.ac.kr/
  9. T. Lee, et al., "Localization for the elderly standard and technology trends," TTA Journal (in Korean), Telecommunications Technology Association, no. 125, pp. 80- 87, Sep./Oct. 2009.
  10. L. Ojeta, "Three dimensional motion and structure estimation using inertial sensors and computer vision for augmented reality," Presence, vol. 11, no. 5, pp. 474-492, 2002. https://doi.org/10.1162/105474602320935829
  11. E. P. Herrera, et al., "Analysis of a Kalman approach for a pedestrian positioning system in indoor environments," Euro-Par, LNCS 4641, pp. 931-940, 2007.
  12. W. Zijlstra, et al., "Assessment of spatio-temporal gait parameters from trunk accelerations during human walking," Gait and Posture 18, pp. 1-10, 2003. https://doi.org/10.1016/j.gaitpost.2003.08.001
  13. S. Cho, et al., "MEMS based pedestrian navigation system," Journal of Navigation, vol. 59, pp. 135-153, 2006.
  14. L. Ojeda, et al., "Non-GPS navigation for security personnel and first responders," Journal of Navigation, vol. 60, no. 3, pp. 391- 407, Sep. 2007. https://doi.org/10.1017/S0373463307004286
  15. M. Jadalih, et al, "A new pedestrian navigation system based on low-cost IMU," International Conference on Ubiquitous Robots and Ambient Intelligence, 2007
  16. Ensco, Inc. http://www.geonav.ensco.com
  17. Y. S. Suh and S. Park, "pedestrian inertial navigation with gait phase detection assisted zero velocity updating," Proc. of the 4th International Conference on Autonomous Robots and Agents, pp. 336-341, 2009.
  18. L. Ojeda and J. Borenstein, "Non-GPS navigation for security personnel and first responders," Journal of Navigation, vol. 60 no. 3, pp. 391-407, Sep. 2007.

Cited by

  1. Development of a Racing Game for Mobile Robots using Multiple Smartphones vol.19, pp.10, 2013, https://doi.org/10.5302/J.ICROS.2013.13.8004
  2. Biaxial Accelerometer-based Magnetic Compass Module Calibration and Analysis of Azimuth Computational Errors Caused by Accelerometer Errors vol.20, pp.2, 2014, https://doi.org/10.5302/J.ICROS.2014.13.9008