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HILS 시계열 데이터 이미지 변환을 이용한 CNN 기반 자동화 검증에 대한 연구
정의인(Ui-in Jung),김두기(Doogie Kim),백승빈(Seungbin Baek),황지은(Jieun Hwang),김범섭(Beomseop Kim) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
In this paper, we propose a framework of automated validation for HILS test data that is time dependent based on CNN using image encoding. Recently, electric vehicles and automated driving technologies have developed and ECU in vehicles is more complex. As a result, validation of ECU in vehicles is becoming important. HILS can reduce time and resources for test and validation of ECU. But amount of test is increased rapidly. To solve these problem, automated validation for HILS test data is studying. But it is difficult to find that consider the time dependent characteristics of time series data. In the study, image encoding used on other engineering field is applied to convert multivariate HILS data to image and introduce framework of automated validation for HILS test data based on CNN through validation performance about MDPS HILS data.