Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Development of Runway Cleaning Robot Based on Deep Learning

딥러닝 기반 활주로 청소 로봇 개발

  • Park, Ga-Gyeong (School of Mechatronics Engineering, Korea University of Technology and Education) ;
  • Kim, Ji-Yong (School of Mechatronics Engineering, Korea University of Technology and Education) ;
  • Keum, Jae-Yeong (School of Mechatronics Engineering, Korea University of Technology and Education) ;
  • Lee, Sang Soon (School of Mechatronics Engineering, Korea University of Technology and Education)
  • 박가경 (한국기술교육대학교 메카트로닉스공학부) ;
  • 김지용 (한국기술교육대학교 메카트로닉스공학부) ;
  • 금재영 (한국기술교육대학교 메카트로닉스공학부) ;
  • 이상순 (한국기술교육대학교 메카트로닉스공학부)
  • Received : 2021.09.03
  • Accepted : 2021.09.13
  • Published : 2021.09.30
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Abstract

This paper deals with the development of a deep-learning-based runway cleaning robot using an optical camera. A suitable model to realize real-time object detection was investigated, and the differences between the selected YOLOv3 and other deep learning models were analyzed. In order to check whether the proposed system is applicable to the actual runway, an experiment was conducted by making a prototype of the robot and a runway model. As a result, it was confirmed that the robot was well developed because the detection rate of FOD (Foreign Object Debris) and cracks was high, and the collection of foreign substances was carried out smoothly.

Keywords

Acknowledgement

본 연구는 한국기술교육대학교의 지원에 의해 이루어졌음.

References

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