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센서퓨전 기반의 Auto High Beam 시스템 구현
김지원(Geewon Kim),강현우(Hyunwoo Kang),신주석(Juseok Shin) 한국자동차공학회 2022 한국자동차공학회 부문종합 학술대회 Vol.2022 No.6
An AHB system was implemented using a camera and radar sensor in an embedded system. In this paper, vehicles, motorcycles, and street-lights were detected through a deep learning model, and in particular, it recognized whether the surroundings were bright by street-lights. In the case of deep learning models, the model is designed to be lightweight so that it can be operated in an embedded system. It also used radar sensors to detect objects that exist at a distance of 100m or more, which cannot be detected by deep learning models. The performance of the implemented AHB system was verified through various test scenarios, and it was confirmed that the high beam was normally controlled in 38 out of 40 test scenarios.