DOI QR코드

DOI QR Code

Indoor Localization Technology Survey

  • Received : 2015.10.16
  • Accepted : 2015.12.10
  • Published : 2016.01.30

Abstract

In this paper, we introduce indoor localization technologies categorizing them into ON/OFF switch and senor based, wireless communication based, and image based technologies. Then we describe several representative techniques for each of them, emphasizing their strengths and weaknesses. We define important performance issues for indoor localization technologies and analyze recent technologies according to the performance issues. Our analyses show that ON/OFF switch based technologies are difficult to install, but accurate and not limited by light. Wireless communication technologies are not limited by light nor distance (space) and do not need additional device. Image based technologies do not need additional device but are limited by light, and their accuracies are affected by light. We believe that this paper provide wise view and necessary information for recent indoor localization technologies.

Keywords

References

  1. Jongam Jeon, Naesoo Kim, Jeonkil Go, Taejoon Park, Hoyong Kang, Cheolsick Pyo, "IoT device products and technology trends"
  2. Hyuk Jeong, Deoho Lee, "Evolution and policy recommendations of IoT", 2014.
  3. SeonTae Kim, Jongsoo Jeong, Joonken Song, Haeyong Kim, "Trends of IoT Device Platforms and Building its Ecosystems", 2014.
  4. Yoonzi kim, "Present and Future of IoT market"
  5. Youngsoo Cho, Seongyoon Cho, Byungdoo Kim, Seongho Lee, Jaecheol Kim, Wansik Choi, "Technical Trend of Indoor/Outdoor Seamless Positioning", June. 2007.
  6. Jaeseok Yun, Seunghun Lee, Youngjung Suh, Jeha Ryu, Woontack Woo, "Information Integration System for User Recognition and Location Awareness in Smart Environment"
  7. Dong-In Ahn, Myung-Hee Kim, Su-Chong Joo, "Location Tracking and Remote Monitoring System of Home Residents using ON/OFF Switches and Sensors", 2005.
  8. Chung-Sub Lee, Hi-Soon Park, Nam-Gyun Kim, Su-Chong Joo, School of Electrical, Electronic and Information Engineering, Wonkwang University, Division of Bionics and Bioinformatics, Chonbuk National University, "Indoor_Location Tracking System Based on ON/OFF Switches and Sensors", 2005.
  9. Sanghyun Son, Youngjoon Park, Beomjun Kim, Yunju Baek, "Wi-Fi Fingerprint Location Estimation System Based on Reliability", 2013.
  10. Dev Anand Priya, Sohyang Lee, Yoonjeong Lee(Ajou University), Joohyun Lee, Minsoo Kwak(Ewha Women's high school), Soohyun Lee, Hyunjin Kim(Seomoon Women's high school), "Development and performance analysis of Fingerprint technology-based indoor location estimation system", 2014.
  11. http://www.repia.com/product/rfid01.html
  12. Jaeho Sim, Seungjin Han, Kiwook Rim, Junghyun Lee, "User Localization System for SmartHome Service", 2007.
  13. Sang-Sun Lee, "Location system using RFID Tag", http://www.google.com/patents/WO2010067947A1?cl=ko, 2009.
  14. Bonggi Jun, "Design of Spatio-temporal Indexing for searching location of RFID Objects". 2014.
  15. Hakyong Kim, "RFID Tag technology"
  16. Ruckus Wireless, "Wifi에서의 위치 기반 서비스" "Location-based services in Wifi"
  17. Nasmedia, "Another innovation of location-based technology, Beacon", http://www.slideshare.net/nasmedia/ss-42950860, Dec 22, 2014.
  18. Korea Information Agency, "Beacon service emerges and new business diffusion No. 8", Dec 10, 2014.
  19. Seonghoon Kwak, "Image analysis -based indoor positioning technology", Mar 2, 2015.
  20. Jae-Bok Song, Seo-Yeon Hwang, "Past and State-of-the-Art SLAM Technologies", Jan 24, 2014.
  21. Heo Hwan, Song Jae-Bok, "Global Localization Based on Ceiling Image Map", 2014.

Cited by

  1. 영상 매칭 기반 실내 장소 안내 모바일 어플리케이션 vol.19, pp.8, 2016, https://doi.org/10.9717/kmms.2016.19.8.1424
  2. Deep Learning-Based Indoor Distance Estimation Scheme Using FMCW Radar vol.12, pp.2, 2016, https://doi.org/10.3390/info12020080