US 12,117,549 B2
Dynamic, cognitive hybrid method and system for indoor sensing and positioning
Divyesh Jadav, San Jose, CA (US); Thomas D. Griffin, Campbell, CA (US); and German H Flores, Carmichael, CA (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jul. 16, 2021, as Appl. No. 17/305,900.
Application 17/305,900 is a continuation of application No. 16/137,349, filed on Sep. 20, 2018, granted, now 11,150,322.
Prior Publication US 2021/0341563 A1, Nov. 4, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 4/33 (2018.01); G01S 5/02 (2010.01); G01S 5/14 (2006.01); G01S 11/06 (2006.01); G06N 20/00 (2019.01); H04W 4/02 (2018.01); H04W 4/021 (2018.01); H04W 4/029 (2018.01)
CPC G01S 5/0257 (2013.01) [G01S 5/02521 (2020.05); G01S 5/0284 (2013.01); G01S 5/14 (2013.01); G01S 11/06 (2013.01); G06N 20/00 (2019.01); H04W 4/021 (2013.01); H04W 4/023 (2013.01); H04W 4/025 (2013.01); H04W 4/029 (2018.02); H04W 4/33 (2018.02)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for dynamic, cognitive hybrid positioning within an indoor environment, the method comprising:
receiving fingerprinting training data corresponding to the indoor environment, trilateration data corresponding to the indoor environment, triangulation data corresponding to the indoor environment, or a combination of the fingerprinting training data, the trilateration data, and/or the triangulation data;
estimating a layout of the indoor environment based at least in part on the fingerprinting training data;
classifying at least first and second areas of the estimated layout according to predetermined area types selected from the group consisting of: inaccessible spaces, closed spaces, open spaces, walls, hallways, and undetermined spaces, wherein the first area comprises a first of the predetermined area types and the second area comprises a second of the predetermined area types that is different from the first predetermined area type;
determining a respective positioning technique to utilize for each area of the estimated layout, wherein the respective positioning technique is determined based at least in part on the area type and the determining comprises:
determining a first positioning technique for the first area, and
determining a second positioning technique that is different from the first positioning technique for the second area; and
estimating a first location of a user sensing device in the first area using the first positioning technique and estimating a second location of the user sensing device in the second area using the second positioning technique.