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저해상도 2D 라이다의 사람 특성 함수를 이용한 새로운 사람 감지 기법
권성경,현유진,이진희,이종훈,손상혁,Kwon, Seong Kyung,Hyun, Eugin,Lee, Jin-Hee,Lee, Jonghun,Son, Sang Hyuk 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.5
Human detection technologies are widely used in smart homes and autonomous vehicles. However, in order to detect human, autonomous vehicle researchers have used a high-resolution LIDAR and smart home researchers have applied a camera with a narrow detection range. In this paper, we propose a novel method using a low-cost and low-resolution LIDAR that can detect human fast and precisely without complex learning algorithm and additional devices. In other words, human can be distinguished from objects by using a new human characteristics function which is empirically extracted from the characteristics of a human. In addition, we verified the effectiveness of the proposed algorithm through a number of experiments.