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:
Sep. 08, 2026

Filed:

Jul. 15, 2024
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Corporation, Seoul, KR;

Soonchunhyang University Industry Academy Cooperation Foundation, Asan-si, KR;

Inventors:

Jong-Hun Choi, Hwaseong-si, KR;

Seong-Keun Park, Asan-si, KR;

Dong-Hyun Lee, Yongin-si, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/52 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/52 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 20/70 (2022.01);
Abstract

A method of predicting crash performance based on deep learning from vehicle crash acceleration data includes performing, by an input unit, wavelet transform on vehicle crash acceleration data. The method also includes applying wavelet transform data to a pre-trained model. The method also includes concatenating a feature extracted from the pre-trained model with a vehicle crash performance index. The method also includes calculating a crash prediction result in a crash performance model through artificial neural network learning from concatenated data of the vehicle crash performance index and the extracted feature.


Find Patent Forward Citations

Choi, Jong-Hun. (2026). Method of predicting crash performance based on deep learning (U.S. Patent No. 12731370). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12731370

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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