earticle

영어

There is a function that describing the severity of vehicle’s accident by (changes of speed in the center of gravity of vehicle, km/h), impact point of the collision vehicle, the impacted point, and EES(Energy Equivalent Speed, km/h) using depth of impacted vehicle and the energy loss of the vehicle. CNN(Convolutional Neural Networks) is mainly used in Deep-learning to process image or video data. Convolution is a Neural Network model before preprocessing task. In PC-Crash V 13.0 has a EES-CNN function using EES and CNN. When user inputs image file of damaged vehicle, EES-CNN shows predicted  with a bar graph. To utilize this EES-CNN function in real accident-analysis, it has to be verified or needs improvements. In this study, after collecting images from NHTSA NASS-CDS in frontal collision condition, then verified if predicted data matches to Δυ data from NASS. Furthermore we analyzed property of pictures and presented a method of taking a picture for EES-CNN function to get higher accuracy.