US 12,435,979 B2
Low-power method and map data hierarchical segmentation load method for indoor positioning
Lynn Choi, Seoul (KR); and Han Jun Bae, Seoul (KR)
Assigned to Korea University Research and Business Foundation, Seoul (KR)
Appl. No. 17/923,826
Filed by Korea University Research and Business Foundation, Seoul (KR)
PCT Filed Jan. 4, 2022, PCT No. PCT/KR2022/000062
§ 371(c)(1), (2) Date Nov. 7, 2022,
PCT Pub. No. WO2023/022311, PCT Pub. Date Feb. 23, 2023.
Claims priority of application No. 10-2021-0109381 (KR), filed on Aug. 19, 2021.
Prior Publication US 2024/0219180 A1, Jul. 4, 2024
Int. Cl. G01C 21/12 (2006.01); G01C 21/00 (2006.01); G01C 21/20 (2006.01)
CPC G01C 21/12 (2013.01) [G01C 21/206 (2013.01); G01C 21/383 (2020.08)] 13 Claims
OG exemplary drawing
 
1. A low power and low memory based indoor positioning method performed by a computing device including at least one processor, the method comprising:
determining an operation mode to be executed based on at least one of a motion of a target and movement of the target sensed by a sensor;
loading a map segment related to a current location of the target from a memory when executing a specific mode related to performing indoor positioning; and
acquiring positioning data by using sensing data collected in real time for the indoor positioning, and the map segment,
wherein the operation mode includes deactivating functions of the computing device while acquiring the positioning data,
wherein the map segment is part of a hierarchical segmentation structure of map data comprising macro-segments and micro-segments, and
wherein the loading includes retrieving a macro-segment based on a coarse location estimate followed by a micro-segment based on proximity data and real-time sensing information, and
wherein the loading of the map segment is further based on external signal comprising a service set id (SSID) or Wi-Fi each floor.