Indoor Navigation Systems and Technologies for Guiding the Users

Authors

  • Meenakshi D. Dhobale  BE, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Pooja S. Verma  BE, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Pushpa R. Joshi  BE, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Jyotsna K. Tekade  BE, JD College of Engineering and Management, Nagpur, Maharashtra, India
  • Swati Raut  Assistant Professor, JD College of Engineering and Management, Nagpur, Maharashtra, India

Keywords:

Voice or Speech Map Navigation, Indoor Navigation, Pedestrian Navigation, GPS, Object Tracking, Location Based Services

Abstract

Outdoor positioning utilizes GPS for navigation it made the task of navigating outdoors relatively easy, but due to the lack of signal inside buildings, navigation in indoors has become a very challenging task. So by using smartphone technology and sensors in it we can overcome some problems occurred in outdoor positioning and it gives precise indoor localization. Indoor navigation is a most important innovation for application, for example, finding a ward room, ICU in a hospital, security exit amid a crisis or focused on the retail commercial in a shopping center. To give solid indoor navigation to business structures like shopping centers, hospitals, hospital wards, organization, university this system is utilized. To achieve this, we use audio guidance, shortest path algorithm and Google map.

References

  1. Solrun Furuholt Pedersen, "Micro Positioning". Master Thesis. ITEM NTNU, Jun 15, 2014.
  2. Fhelelboom, Zuher. "Equipment tracking and security systems for hospitals". Master Thesis Universitiy Teknology Malaysia. May, 2017.
  3. I. Guvenc, C.-C. Chong, “A Survey on TOA Based WirelessLocalization and NLOS Mitigation Techniques”, IEEE Communications Surveys and Tutorials, vol. 11, no. 3, 2009, Pages: 107-124.
  4. R.Want, A.Hopper, V.Falcao and J.Gibbons; The active Badge location system, ACM Transactions on Information systems Vol. 40, No. 1, pp. 91-102, January 2012.
  5. Hazas, M., Hopper, A; A Novel Broadband Ultrasonic Location System for Improved Indoor Positioning, IEEE Transactions on mobile Computing, Vol. 5, No. 5, May 2006.
  6. Michael Popa, Junaid Ansari, Janne Riihij¨arvi, and Petri M¨ah¨onen. 2008. Combining Cricket System and Inertial Navigation for Indoor Human Tracking. WCNC proceedings.
  7. Priyantha, N. B; The cricket indoor location system: PhD Thesis, Massachusetts Institute of Technology. 199 p, June 2005.
  8. Fukuju, Y.; Minami, M.; Morikawa, H.; Aoyama, T.; Dolphin. 2003. An autonomous indoor positioning system in ubiquitous computing environment, in Proc of the IEEE Workshop on Software Technologies for Future Embedded Systems.
  9. Lionel M.NI, Yunhao Liu, Iu Cho Lau, Abh?shek P. Patil; LANDMARC: Indoor Location Sensing Using Active RFID
  10. Guang-yao Jin, Xiao-yi Lu, Myong-Soon Park. 2006. An Indoor Location Mechanism Using Active RFID. Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing.
  11. Lijan Jiang, Lim Nam Hoe, Lay Leong Loon. 2010. Integrated UWB and GPS Location Sensing System In Hospital Environment. IEEE International Conference of Sensor Networks.
  12. Tilch, S. Mautz, R. 2010. Current investigations at the ETH Zurich in optical indoor positioning. IEEE Positioning Navigation and Communication (WPNC) conference.
  13. S. Beauregard and H. Haas. Pedestrian dead reckoning: A basis for personal positioning. In Proceedings of the 3rd Workshop on Positioning, Navigation and Communication, 2006.
  14. V. Fox, J. Hightower, L. Lin, D. Schulz, and G. Borriello, “Bayesian filtering for location estimation,” IEEE Pervasive Computing, vol. 2, no. 3, pp. 24–33, 2003.
  15. Matthies, L. H., Szeliski, R., and Kanade, T. (1989). Kalman filter-based algorithms for estimating depth from image sequences. International Journal of Computer Vision, 3, 209–236.
  16. Beauregard, S., (2006). A Helmet-Mounted Pedestrian Dead Reckoning System. Proceedings of IFAWC2006, TZI University Bremen, Germany, pp. 79-89
  17. Robertson, P., Angermann, M, Krach, B., Simultaneous Localization and Mapping for Pedestrians using only Foot-Mounted Inertial Sensors. In Proc. Ubi Comp 2009, ACM (2009) 93-96.
  18. C. Fischer et al., “Ultrasound-Aided Pedestrian Dead Reckoning for Indoor Navigation,” Proc. Int’l Workshop Mobile Entity Localization and Tracking in GPS-Less Environments, ACM Press, 2008, pp. 31–36.
  19. O. Woodman and R. Harle. Pedestrian localisation for indoor environments. In Proc. of the UbiComp 2008, Seoul, South Korea, Sept. 2008.
  20. SHAO W., TERZOPOULOS D.: Autonomous pedestrians. In SCA ’05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation (New York, NY, USA, 2005), ACM Press, pp. 19–28.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2019-02-28

Issue

Volume 5, Issue 5, February-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Meenakshi D. Dhobale, Pooja S. Verma, Pushpa R. Joshi, Jyotsna K. Tekade, Swati Raut, " Indoor Navigation Systems and Technologies for Guiding the Users, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 5, pp.38-45, February-2019.