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HILS 시험 결과 분석을 위한 하이브리드 신경망 개발
임완택(Wantaik Lim),오민택(Mintack Oh),서영식(Yeongsik Seo) 한국자동차공학회 2021 한국자동차공학회 부문종합 학술대회 Vol.2021 No.6
As vehicle technology rapidly changes to the form of autonomous driving and mobility and the system is complicated, simulation verification technology that combines virtual vehicle environments has been highlighted. For braking HILS system, simulation verification based on these virtual environments is possible. However, even though the evaluation is performed automatically, the resulting judgment must be verified manually by the test engineer. To solve these problems, we recently used artificial intelligence techniques that have been in the spotlight and proposed a novel hybrid deep learning model with the best validation accuracy. We analyzed the learning performance of the proposed model and demonstrated that AI judgment results are consistent by applying it to the actual HILS test results.