Artificial intelligence-based indoor positioning technology trends and prospects

인공지능 기반 실내 측위 기술 동향 및 전망

  • Published : 2020.01.30

Abstract

디지털 트윈이나 증강현실, 가상현실, 자율주행 등과 같이 현실 좌표계의 위치를 다루거나 현실과 가상세계를 융합하는 기술들에 있어 측위 기술은 상당히 주요하게 작용한다. 측위 기술은 그 목적과 타겟 디바이스에 따라 매우 다양하게 존재하며, 기존 측위 기술들에 인공지능을 융합하여 정밀도와 측위 주기를 개선시키는 등 다양한 연구가 진행되고 있는 분야이다. 본 고에서는 기존의 다양한 측위 기술들의 동향과 인공지능을 융합하여 성능을 높인 사례들에 대해 설명한다.

Keywords

References

  1. Mautz, Rainer, and Sebastian Tilch, "Survey of optical indoor positioning systems," In 2011 international conference on indoor positioning and indoor navigation, pp.1-7, Nov 2011.
  2. S. Lee, S. Kim, "Indoor positioning technology trends and outlook," The Journal of The Korean Institute of Communication Sciences, Vol.32, No.2, pp.81-88, 2015 Jan.
  3. Beauregard, Stephane, and Harald Haas, "Pedestrian dead reckoning: A basis for personal positioning," Proceedings of the 3rd Workshop on Positioning, Navigation and Communication, pp. 27-35, 2006.
  4. Krakiwsky, Edward J, Clyde B Harris, and Richard VC Wong, "A Kalman filter for integrating dead reckoning, map matching and GPS positioning," In IEEE PLANS'88, Position Location and Navigation Symposium, Record.'Navigation into the 21st Century', pp.39-46, 2002.
  5. Racko, Jan, et al, "Pedestrian dead reckoning with particle filter for handheld smartphone," In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp.1-7, 2016.
  6. Kourogi, Masakatsu, Tomoya Ishikawa, and Takeshi Kurata, "A method of pedestrian dead reckoning using action recognition," IEEE/ION Position, Location and Navigation Symposium. IEEE, pp. 85-89, 2010.
  7. Rizos, C., Janssen, V., Roberts, C., & Grinter, T., "Precise Point Positioning: Is the era of differential GNSS positioning drawing to an end?," In FIG Working Week 2012, pp. 1-17. 2012.
  8. S. Lee, "MBC Precision Positioning Service and Autonomous Vehicles," Broadcast and media, Vol.24, No.1, pp.56-62, 2019 Jan.
  9. Faragher, Ramsey, and Robert Harle, "Location Finger-printing with bluetooth low energy beacons," IEEE journal on Selected Areas in Communications, Vol.33, No.11, pp.2418-2428, May 2015. https://doi.org/10.1109/JSAC.2015.2430281
  10. H. Seo, et al. "A Study of Indoor Positioning Algorithm Based on UWB Fingerprinting and TDoA," Proceedings of the Korea Information Processing Society Conference. Korea Information Processing Society, pp.86-89, 2016.
  11. S. Lee, J. Kim, and N. Moon, "Random forest and WiFi fingerprint-based indoor location recognition system using smart watch," Human-centric Computing and Information Sciences, Vol.9, No.1, pp.6, Jan 2019. https://doi.org/10.1186/s13673-019-0168-7
  12. C. Lee, T. Sung. "UWB positioning technology introduction and technology trends," The Korean Institute of Communications and Information Sciences, Information & Communications Magazine, Vol.34, No.4, pp.33-38, 2017 Mar.
  13. Liu, Hugh Sing, and Grantham Pang, "Positioning beacon system using digital camera and LEDs," IEEE Transactions on Vehicular Technology, Vol.52, No.2, pp.406-419, May 2003. https://doi.org/10.1109/TVT.2003.808800
  14. G. Lim, Y. Kim, and S. Park, "A Study on Railway Station Navigation for Handicapped Using Maker Indoor Positioning," Proceedings of 2018 Conference of Korean Society for Railway, pp.90-92, 2018.
  15. J. Kim, "Indoor Location Positioning System for Image Recognition based LBS," Journal of Korea Spatial Information Society, Vol.10, No.2, pp.49-62, 2008.
  16. Ecklbauer, Bernhard Leopold, "A mobile positioning system for android based on visual markers." Mobile Computing. 91, 2014.
  17. B. Ahn, Y. Ko, and H. Ji, " Indoor Location and Pose Estimation Algorithm using Artificial Attached Marker," Journal of Korea Multimedia Society, Vol.19, No.2, pp.240-251, 2016 Feb. https://doi.org/10.9717/kmms.2016.19.2.240
  18. Saito, Shigeru, et al, "Indoor marker-based localization using coded seamless pattern for interior decoration," In 2007 IEEE Virtual Reality Conference, pp.67-74, 2007.
  19. H. An. Deep learning-based indoor positioning system using pyramid LED beacons, Master's Thesis of Hoseo University, Asan, Korea, 2020.
  20. Van Opdenbosch, Dominik, et al, "Camera-based indoor positioning using scalable streaming of compressed binary image signatures," In 2014 IEEE International Conference on Image Processing (ICIP), pp.2804-2808, 2014.
  21. Cheng, Yaun-Chou, et al, "AR-based positioning for mobile devices," In 2011 40th International Conference on Parallel Processing Workshops, pp. 63-70, 2011.
  22. Kawaji, Hisato, et al, "Image-based indoor positioning system: fast image matching using omnidirectional panoramic images," In Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis, pp.1-4, 2010.
  23. Zhang, Xinzheng, Ahmad B. Rad, and Yiu-Kwong Wong, "Sensor fusion of monocular cameras and laser rangefinders for line-based simultaneous localization and mapping (SLAM) tasks in autonomous mobile robots," Sensors, Vol.12, No.1, pp.429-452, Jan 2012. https://doi.org/10.3390/s120100429
  24. Komine, Toshihiko, and Masao Nakagawa, "Fundamental analysis for visible-light communication system using LED lights," IEEE transactions on Consumer Electronics, Vol.50, No.1, pp.100-107, June 2004. https://doi.org/10.1109/TCE.2004.1277847
  25. Luo, Pengfei, et al, "An indoor visible light communication positioning system using dual-tone multi-frequency technique," In 2013 2nd International Workshop on Optical Wireless Communications (IWOW), pp.25-29, 2013
  26. Li, Yiwei, et al, "A VLC smartphone camera based indoor positioning system," IEEE Photonics Technology Letters, Vol.30, No.13, pp.1171-1174, May 2018. https://doi.org/10.1109/LPT.2018.2834930
  27. Tran, Huy Q., and Cheolkeun Ha. "Improved Visible Light-Based Indoor Positioning System Using Machine Learning Classification and Regression," Applied Sciences, Vol.9, No.6, 1048, Mar 2019. https://doi.org/10.3390/app9061048