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A Study on Furrow Autonomous Steering using Furrow Recognition Sensor Module

고랑인식 센서 모듈을 이용한 밭고랑 자율조향에 대한 연구

  • Cho, Yongjun (Korea Institute of Robotics & Technology Convergence) ;
  • Park, Kwanhyung (Korea Institute of Robotics & Technology Convergence) ;
  • Yun, Haeyong (Korea Institute of Robotics & Technology Convergence) ;
  • Hong, Hyunggil (Korea Institute of Robotics & Technology Convergence) ;
  • Oh, Jangseok (Korea Institute of Robotics & Technology Convergence) ;
  • Kang, Minsu (Korea Institute of Robotics & Technology Convergence) ;
  • Jang, Sunho (Korea Institute of Robotics & Technology Convergence) ;
  • Seo, Kabho (Korea Institute of Robotics & Technology Convergence) ;
  • Lee, Youngtae (Dept. of Bio-ICT Engineering, Andong National University)
  • 조용준 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 박관형 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 윤해룡 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 홍형길 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 오장석 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 강민수 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 장선호 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 서갑호 (한국로봇융합연구원 농업로봇자동화연구센터) ;
  • 이영태 (안동대학교 바이오ICT융합공학과)
  • Received : 2022.07.12
  • Accepted : 2022.08.03
  • Published : 2022.09.30

Abstract

In this paper, as a research on autonomous steering for agriculture, a sensor module for furrow recognition was developed through a low-cost distance sensor combination. The developed sensor module was applied to the vehicle, and when driving in a furrow curve, the autonomous steering success rate was 100% at a curvature of 20 m or more, and 70% at a curvature of 15 m or less. The self-steering success rate according to the ground condition showed a 100% success rate regardless of soil, weeds, or mulching film.

Keywords

Acknowledgement

이 논문은 농림축산식품부 첨단농기계산업화기술개발사업, 노지분야 스마트농업 기술 단기 고도화사업, 기술사업화지원사업, 중소벤처기업부 중소기업기술혁신개발사업 연구비 지원에 의하여 연구되었음(120077-1, 322041-2, 122053-3, S3243475).

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