| 제목 | 딥러닝과 스테레오 카메라를 이용한 객체 거리 추출 방법 |
|---|---|
| Title | Object distance extraction method using deep learningand stereo camer |
| 저자 |
박민홍 (한경대학교 ICT로봇기계공학부) 원종운 (한국철도기술연구원) 조재훈 (한경대학교 스마트물류기술연구센터) 김용태* (한경대학교 ICT로봇기계공학부) |
| Author |
Min-Hong Park(Dept. of ICT, Robot and Mechanical Engineering, Hankyong National Universit) Jong-Un Won(Korea Railload Research Institute, Logistics System Research Division) Jae-hoon Cho(Smart Logistics Technology Institute, Hankyong National University, Kore) Yong-Tae Kim(Dept. of ICT, Robot and Mechanical Engineering, Hankyong National University) |
| Bibliography | Journal of Logistics Science & Technology, 1(1), 2~12, 2020, |
| DOI | |
| Key Words | YOLOv4, IMU sensor, delivery boxes, stereo camera. |
| Abstract | In this paper, we proposed a method to calculate the linear distance value according to the location of the delivery box and the stereo camera. The proposed method recognizes individual delivery boxes using YOLOv4, and calculates the vertical plane position of the camera and the linear distance between the boxes using the IMU sensor mounted on the stereo camera. In order to evaluate the performance of the proposed algorithm, a laboratory-scale experimental space was constructed, and the measured distance of the actual delivery box and the output distance of the proposed algorithm were compared. |
| PDF download | JM_1[1]-P .pdf |