Title:
POSITIONING METHOD BASED ON ARTIFICIAL INTELLIGENCE NEURAL NETWORK CONSTRUCTED ON BASIS OF SENSOR MAP IMAGE OF MULTI-SIGNAL ENVIRONMENT DATA, AND DEVICE THEREFOR
Document Type and Number:
WIPO Patent Application WO/2023/140711
Kind Code:
A1
Abstract:
A method for operating a positioning system, according to an embodiment of the present invention, comprises a step of constructing a positioning model based on artificial intelligence position neural network learning, on the basis of respective sensor map images converted from multi-signal environment data collected by a plurality of portable terminals and position information corresponding to the plurality of portable terminals, wherein the positioning model based on artificial intelligence position neural network learning is trained to output first position prediction information corresponding to a first portable terminal when a first sensor map image corresponding to the first portable terminal, for which a positioning based service is requested, is input.
Inventors:
JEON YOUNG JUN (KR)
KIM TAE YEAB (KR)
JEON MIN JOON (KR)
KIM TAE YEAB (KR)
JEON MIN JOON (KR)
Application Number:
PCT/KR2023/001076
Publication Date:
July 27, 2023
Filing Date:
January 20, 2023
Export Citation:
Assignee:
PAPAYA CORP (KR)
International Classes:
G01C5/06; G01C21/20; G01C25/00; G01S5/02; G01W1/02; G06N3/08; G06V10/74; G06V10/82
Foreign References:
| KR20170040652A | 2017-04-13 | |||
| KR20210048697A | 2021-05-04 | |||
| KR20190107692A | 2019-09-20 | |||
| KR20170078116A | 2017-07-07 | |||
| US20210341561A1 | 2021-11-04 |
Attorney, Agent or Firm:
POLARIS INTERNATIONAL PATENT & LAW FIRM (KR)
Download PDF: