US 11,927,448 B2
Deep smartphone sensors fusion for indoor positioning and tracking
Boris Chidlovskii, Meylan (FR); Leonid Antsfeld, Saint Ismier (FR); and Emilio Sansano, Onda (ES)
Assigned to NAVER CORPORATION, Gyeonggi-Do (KR); and NAVER LABS CORPORATION, Gyeonggi-Do (KR)
Filed by NAVER CORPORATION, Gyeonggi-do (KR); and NAVER LABS CORPORATION, Gyeonggi-do (KR)
Filed on Sep. 17, 2021, as Appl. No. 17/477,701.
Claims priority of application No. 20306380 (EP), filed on Nov. 13, 2020.
Prior Publication US 2022/0155079 A1, May 19, 2022
Int. Cl. G06F 17/00 (2019.01); G01C 21/20 (2006.01); G01V 3/08 (2006.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/02 (2006.01)
CPC G01C 21/206 (2013.01) [G01V 3/08 (2013.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06N 3/02 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A computer-implemented method of determining a position of a portable electronic device in an indoor environment, the method comprising:
at a first rate, updating an absolute position of a portable electronic device within the indoor environment based on at least one of radio signal data and magnetic field data captured using the portable electronic device;
at a second rate that is different than the first rate, selectively updating an estimated displacement of the portable electronic device within the indoor environment, the updating the estimated displacement comprising generating an estimated displacement, by a neural network module, based on inertial sensor data of the portable electronic device; and
determining a present position of the portable electronic device within the indoor environment by updating a previous position based on at least one of (a) the estimated displacement and (b) the absolute position.