대한임베디드공학회논문지 (IEMEK Journal of Embedded Systems and Applications)

대한임베디드공학회 (Institute of Embedded Engineering of Korea)
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저해상도 2D 라이다의 사람 특성 함수를 이용한 새로운 사람 감지 기법

A Novel Human Detection Scheme using a Human Characteristics Function in a Low Resolution 2D LIDAR

  • 투고 : 2016.03.31
  • 심사 : 2016.06.13
  • 발행 : 2016.10.31
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초록

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.

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참고문헌

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