The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 06, 2025

Filed:

Jun. 22, 2022
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Corporation, Seoul, KR;

Industry-academic Cooperation Foundation, Yonsei University, Seoul, KR;

Inventors:

So Jin Jang, Seoul, KR;

Jin Kyu Hwang, Suwon-si, KR;

Hyun Ju Kim, Yongin-si, KR;

Min Seong Park, Seoul, KR;

Won Je Jang, Goyang-si, KR;

Eun Tai Kim, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/10 (2018.12); G01S 17/89 (2019.12); G01S 17/931 (2019.12); G06V 10/26 (2021.12); G06V 10/50 (2021.12); G06V 10/762 (2021.12); G06V 10/764 (2021.12); G06V 10/82 (2021.12);
U.S. Cl.
CPC ...
G06V 10/764 (2021.12); G01S 17/89 (2012.12); G01S 17/931 (2019.12); G06N 20/10 (2018.12); G06V 10/26 (2021.12); G06V 10/50 (2021.12); G06V 10/762 (2021.12); G06V 10/82 (2021.12);
Abstract

A method of classifying an object according to an embodiment includes extracting a first feature by transforming rectangular coordinates of points included in the box of the object, obtained from a point cloud acquired using a LiDAR sensor, into complex coordinates and performing Fast Fourier Transform (FFT) on the complex coordinates, obtaining an average and a standard deviation as a second feature, the average and the standard deviation being parameters of a Gaussian model for the points included in the box of the object, and classifying the type of object based on at least one of the first feature or the second feature.


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