Localization of Indoor Scenario Yang Song 2016年3月11日星期五 2016年3月11日星期五 2016年3月11日星期五.

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Presentation transcript:

Localization of Indoor Scenario Yang Song 2016年3月11日星期五 2016年3月11日星期五 2016年3月11日星期五

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

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

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

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

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

Scenario localization(3) Procedure Tradition localization: A point or An area Revise A point or An area 100% in the real scenario Extract feature

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

Impression Fig.5 The parameters when we calculate SSI

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

Impression(3) Possible Observing Location choice the minimum SSI Calculate a distance r: r is the distance between impression location and possible observing location pd 1 is the distance between impression location and AP 1 (the strongest signal was received during the impression’s creation)

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

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

谢谢！