The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 11, 2018

Filed:

Sep. 13, 2017
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Etienne Le Grand, Mountain View, CA (US);

Mohammed Khider, Mountain View, CA (US);

Luigi Bruno, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 64/00 (2009.01); H04W 4/029 (2018.01); H04W 4/02 (2018.01); H04W 24/10 (2009.01); H04W 4/04 (2009.01);
U.S. Cl.
CPC ...
H04W 4/029 (2018.02); H04W 4/028 (2013.01); H04W 4/04 (2013.01); H04W 24/10 (2013.01);
Abstract

Traces are collected by multiple portable devices moving with an area that includes an indoor region, with each of the traces including measurements of wireless signals at different times, including measurements of wireless signals from signal sources disposed within the area. A motion map for the geographic area is constructed by determining, for each of the cells that make the motion map, respective probabilities of moving in various directions relative to each cell. Location estimates for the portable devices and the signal sources are generated using graph-based SLAM optimization of the location estimates. The graph-based SLAM optimization includes determining to which of the cells of the motion map the location estimate corresponds and applying the measurements of wireless signals sources and the set of probabilities of the cells as a first constraint and a second constraint, respectively, in the graph-based SLAM optimization.


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