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이해수(HaeSu Lee),권구남(GuNam Kwon),권남규(Nam Kyu Kwon) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
In this paper, we propose a stair recognition and classification algorithm using a depth image. The dataset builds images in RGB and Depth pairs in three cases: upward stair, downward stair and flatland. The proposed method classifies the shape of the stairs by using the depth value and the properties of each case in the region of interest of the depth image. To show the validity of the proposed method, we analyze the results of classification experiments using the constructed dataset.