Localization of Indoor Scenario

1. Localization of Indoor Scenario Yang Song 2014年9月8日星期一

2. Outline • Currently indoor localization • Scenario localization • Intel’s way • Possible ways to improve

3. Indoor Localization • Triangulation merit: easy convenient low requirement drawback: impressionable inaccuracy • Fingerprint merit: accuracy drawback: high cost impressionable Fig.1 Triangulation example Fig.2 Fingerprint example

4. Indoor Localization(2) • Purpose • one point, or • An area • But, problem… It is not always accurate Fig.3 The case that location is not accurate

5. Scenario localization • Do we need the exactly location? • 30cm,10cm,1mm? • No ! • Hard to implement • So, what we need? • Room, • Area – clear view • Definition: Scenario localization

6. Scenario localization(2) • How can we do this kind of localization? • A solution: use assistant information to extract every scenario unique characteristic. Fig.4 The case of scenario localization

7. Scenario localization(3) • Procedure Extract feature

8. Intel’s way • iGPS • Basic way Wi-Fi Triangulation • Assist way Fingerprint named Impression • Precondition • Indoor map • AP geodetic location

9. Impression Fig.5 The parameters when we calculate SSI

10. Impression(2) • SSI-a weighted mean of all APs’ SSIi: • The weight assigned to AP1 (the strongest RSSI) is always 1. The weight assigned to other APs is based on the ratio of the calculated FSPL distance of APi:

11. Impression(3) • Possible Observing Location • choice the minimum SSI • Calculate a distance r: • r is the distance between impression location and possible observing location • pd1is the distance between impression location and AP1 (the strongest signal was received during the impression’s creation)

12. Impression(4) Fig.6 How to use the Impression

13. Possible ways to improve • Problems in Impression mirror image weight calculate • Improvement SSI other?

14. 谢 谢！