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운전자 안정성 향상을 위한 Generative Adversarial Network 기반의 야간 도로 영상 변환 시스템
안남현(Namhyun Ahn),강석주(Suk-Ju Kang) 한국방송·미디어공학회 2018 방송공학회논문지 Vol.23 No.6
Advanced driver assistance system(ADAS) is a major technique in the intelligent vehicle field. The techniques for ADAS can be separated in two classes, i.e., methods that directly control the movement of vehicle and that indirectly provide convenience to driver. In this paper, we propose a novel system that gives a visual assistance to driver by translating a night road image to a day road image. We use the black box images capturing the front road view of vehicle as inputs. The black box images are cropped into three parts and simultaneously translated into day images by the proposed image translation module. Then, the translated images are recollected to original size. The experimental result shows that the proposed method generates realistic images and outperforms the conventional algorithms.