Jump to content

18773037. METHOD OF PREDICTING CRASH PERFORMANCE BASED ON DEEP LEARNING (Hyundai Motor Company)

From WikiPatents

METHOD OF PREDICTING CRASH PERFORMANCE BASED ON DEEP LEARNING

Organization Name

Hyundai Motor Company

Inventor(s)

Jong-Hun Choi of Hwaseong-si KR

Seong-Keun Park of Asan-si KR

Dong-Hyun Lee of Yongin-si KR

METHOD OF PREDICTING CRASH PERFORMANCE BASED ON DEEP LEARNING

This abstract first appeared for US patent application 18773037 titled 'METHOD OF PREDICTING CRASH PERFORMANCE BASED ON DEEP LEARNING

Original Abstract Submitted

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.

(Ad) Transform your business with AI in minutes, not months

Custom AI strategy tailored to your specific industry needs
Step-by-step implementation with measurable ROI
5-minute setup that requires zero technical skills
Get your AI playbook

Trusted by 1,000+ companies worldwide

Cookies help us deliver our services. By using our services, you agree to our use of cookies.