A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes
Recent years have witnessed rapid development and contemporary trends in smart construction research owing to advances in machine learning algorithms, modern sensory systems, and robotic technologies. In this paper, a novel economical computer vision (CV) and point cloud-based monitoring framework i...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2025-06-01
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| Series: | Journal of Intelligent Construction |
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| Online Access: | https://www.sciopen.com/article/10.26599/JIC.2025.9180086 |
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| _version_ | 1849714138530447360 |
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| author | Xiao Pan Tony T. Y. Yang Ruiwu Liu Yifei Xiao Fan Xie |
| author_facet | Xiao Pan Tony T. Y. Yang Ruiwu Liu Yifei Xiao Fan Xie |
| author_sort | Xiao Pan |
| collection | DOAJ |
| description | Recent years have witnessed rapid development and contemporary trends in smart construction research owing to advances in machine learning algorithms, modern sensory systems, and robotic technologies. In this paper, a novel economical computer vision (CV) and point cloud-based monitoring framework is proposed to assist in the lifting and relocation of construction sources via mobile cranes on site. The proposed framework incorporates a multicamera approach to achieve multiple goals, such as three-dimensional (3D) vision-based real-time reconstruction, 3D localization of construction resources, and safety monitoring. To demonstrate the effectiveness of the proposed framework, field experiments were conducted on a full-scale mobile crane. The results show that the proposed monitoring system achieves real-time performance, which can successfully recognize construction resources and guide the crane to initialize the lifting position and avoid potential moving workers during motion execution. |
| format | Article |
| id | doaj-art-f5414f24c2d34ff5afc9f6ac4c0e3c46 |
| institution | DOAJ |
| issn | 2958-3861 2958-2652 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent Construction |
| spelling | doaj-art-f5414f24c2d34ff5afc9f6ac4c0e3c462025-08-20T03:13:47ZengTsinghua University PressJournal of Intelligent Construction2958-38612958-26522025-06-0132918008610.26599/JIC.2025.9180086A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranesXiao Pan0Tony T. Y. Yang1Ruiwu Liu2Yifei Xiao3Fan Xie4Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, ChinaDepartment of Civil Engineering, The University of British Columbia, Vancouver V6T 1Z4, CanadaDepartment of Mechanical & Industrial Engineering, University of Toronto, Toronto M55 3G8, CanadaDepartment of Civil Engineering, The University of British Columbia, Vancouver V6T 1Z4, CanadaDepartment of Civil Engineering, The University of British Columbia, Vancouver V6T 1Z4, CanadaRecent years have witnessed rapid development and contemporary trends in smart construction research owing to advances in machine learning algorithms, modern sensory systems, and robotic technologies. In this paper, a novel economical computer vision (CV) and point cloud-based monitoring framework is proposed to assist in the lifting and relocation of construction sources via mobile cranes on site. The proposed framework incorporates a multicamera approach to achieve multiple goals, such as three-dimensional (3D) vision-based real-time reconstruction, 3D localization of construction resources, and safety monitoring. To demonstrate the effectiveness of the proposed framework, field experiments were conducted on a full-scale mobile crane. The results show that the proposed monitoring system achieves real-time performance, which can successfully recognize construction resources and guide the crane to initialize the lifting position and avoid potential moving workers during motion execution.https://www.sciopen.com/article/10.26599/JIC.2025.9180086automated construction computer visionimage processingobject detection and tracking stereo vision3d point clouds |
| spellingShingle | Xiao Pan Tony T. Y. Yang Ruiwu Liu Yifei Xiao Fan Xie A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes Journal of Intelligent Construction automated construction computer vision image processing object detection and tracking stereo vision 3d point clouds |
| title | A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes |
| title_full | A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes |
| title_fullStr | A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes |
| title_full_unstemmed | A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes |
| title_short | A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes |
| title_sort | computer vision and point cloud based monitoring approach for automated construction tasks using full scale robotized mobile cranes |
| topic | automated construction computer vision image processing object detection and tracking stereo vision 3d point clouds |
| url | https://www.sciopen.com/article/10.26599/JIC.2025.9180086 |
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