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딥러닝과 스테레오 카메라를 이용한 객체 거리 추출 방법

Object distance extraction method using deep learning and stereo camera

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키워드

주제분류과학기술학

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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.

참고문헌 (13)

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  2. 서승범, "온라인 쇼핑몰 택배 서비스 품질 기대치에 대하여 제품 종류가 미치는 영향에 관한 연구", 한국SCM학회지, 20(1), pp.52~66 (2020), 한국SCM학회[DOI]
  3. Jiwoong Choi, "Gaussian YOLOv3: An accurate and fast object detector using localization uncertainty for autonomous driving", Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.502~511 (2019)
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  8. 원종운, "택배화물 자동 하역장비를 위한 딥러닝 기반의 화물 인식 알 고리즘", 한국지능시스템학회 논문지, 29(6), pp.430~436 (2019), 한국지능시스템학회
  9. 23 Apr, "2020", ~
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  13. He, K., "Deep residual learning for image recognition", Proceedings of the IEEE conference on computer vision and pattern recognition, pp.770~778 (2016)

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