US 12,222,430 B2
High-resolution sound source map obtaining and analyzing method and system using artificial intelligence neural network
Ji Ho Chang, Yongin-si (KR); Seung Chul Lee, Pohang-si (KR); and Soo Young Lee, Pohang-si (KR)
Assigned to KOREA RESEARCH INSTITUTE OF STANDARDS AND SCIENCE, (KR); and POSTECH RESEARCH AND BUSINESS DEVELPMENT FOUNDATION, (KR)
Appl. No. 17/766,476
Filed by KOREA RESEARCH INSTITUTE OF STANDARDS AND SCIENCE, Daejeon (KR); and POSTECH Research and Business Development Foundation, Pohang-si (KR)
PCT Filed May 27, 2021, PCT No. PCT/KR2021/006616
§ 371(c)(1), (2) Date Apr. 4, 2022,
PCT Pub. No. WO2022/050532, PCT Pub. Date Mar. 10, 2022.
Claims priority of application No. 10-2020-0114089 (KR), filed on Sep. 7, 2020.
Prior Publication US 2023/0160993 A1, May 25, 2023
Int. Cl. G01S 3/808 (2006.01); G01S 5/22 (2006.01)
CPC G01S 3/8083 (2013.01) [G01S 5/22 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method of obtaining and analyzing a high-resolution sound source map using an artificial intelligence neural network, the method comprising:
a grid generation step of generating grids, via software executing on a processing unit, each having an interval within a given range at locations where sound sources are present, in order to form a computer generated sound source map including a plurality of pixels;
a calculation step of calculating a result value for each of coordinates of the grids, wherein the result value is a maximum at a location of the sound source and the result value is decreased based on a distance from the sound source;
a matrix generation step of arranging the result values at locations on matrices corresponding to the respective coordinates of the grids; and
a target map generation step of generating a target map having an image form by using the result values arranged in the matrix.