지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.2
- 수록면
- 218 - 228 (11page)
- DOI
- 10.9717/kmms.2024.27.2.218
이용수
초록· 키워드
오류제보하기
The transition to smart yards is facilitating the automation of the entire manufacturing process, yet the automation of painting operations still presents numerous unresolved issues. Among these, the automation of special painting areas such as the underside of blocks remains a challenge due to the complexity of the painting surface, the presence of obstacles, and the limited distance between the painting surface and the painting robot, posing various issues for practical application. This study, aiming to verify the feasibility of painting operation automation through digital twin simulation, proposes an automation technique utilizing AI-based object and line detection technologies for such specialized painting tasks. By synthesizing images from multiple cameras, extensive data on the painting surface is acquired, and objects and baseline recognition are employed to identify painting surfaces and welding lines, among other painting baselines. This approach has enabled the creation of highly accurate painting operation paths. Moreover, a 3D-based digital twin simulator was developed to verify the painting automation technique.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 도장 작업 자동화 알고리즘 및 디지털트윈 시뮬레이터
4. 결론
REFERENCE
참고문헌 (21)
참고문헌 신청
Z. Yi, S. Mi, T. Tong, H. Li, Y. Lin, W. Wang, et al., “Intelligent Initial Model and Case Design Analysis of Smart Factory for Shipyard in China,” Engineering Applications of Artificial Intelligence, Vol. 123, pp. 106426, 2023.
Y.C. Liu, K.Y. Lin, and Y.S. Chen, “Bird’s-Eye View Vision System for Vehicle Surrounding Monitoring,” International Workshop on Robot Vision, pp. 207-218, 2008.
C. Kum, D. Cho, M. Ra, and W. Kim, “Lane Detection System with Around View Monitoring for Intelligent Vehicle,” International SoC Design Conference, pp. 215-218, 2013.
J. Suhr and H. Jung, “Fully-Automatic Recognition of Various Parking Slot Markings in Around View Monitor(AVM) Image Sequences,” International IEEE Conference on Intelligent Transportation Systems, pp. 1294-1299, 2012.
C. Jang, C. Kim, S. Lee, S. Kim, S. Lee, and M. Sunwoo, “Re-Plannable Automated Parking With a Standalone Around View Monitor for Narrow Parking Lots,” IEEE Transactions on Intelligent Transportation System, pp. 777-790, 2019.
Y.C. Liu, K.Y. Lin, and Y.S. Chen, “Bird’s-Eye View Vision System for Vehicle Surrounding Monitoring,” International Workshop on Robot Vision, pp. 207-218, 2008.
C. Kum, D. Cho, M. Ra, and W. Kim, “Lane Detection System with Around View Monitoring for Intelligent Vehicle,” International SoC Design Conference, pp. 215-218, 2013.
J. Suhr and H. Jung, “Fully-Automatic Recognition of Various Parking Slot Markings in Around View Monitor(AVM) Image Sequences,” International IEEE Conference on Intelligent Transportation Systems, pp. 1294-1299, 2012.
C. Jang, C. Kim, S. Lee, S. Kim, S. Lee, and M. Sunwoo, “Re-Plannable Automated Parking With a Standalone Around View Monitor for Narrow Parking Lots,” IEEE Transactions on Intelligent Transportation System, pp. 777-790, 2019.
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