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Intelligent evaluation method of indoor finishing construction progress based on image segmentation and positional tracking
Digital Twins and Intelligent Construction | 更新时间：2023-11-28

    • Intelligent evaluation method of indoor finishing construction progress based on image segmentation and positional tracking

    • “In the field of engineering project management, experts have proposed an intelligent progress tracking and evaluation framework for indoor construction wet work tiling scenarios. Based on an improved Mask R-CNN deep learning framework, the framework automatically extracts the tiling progress of indoor walls and floors, laying the foundation for the digital twin of construction.”
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 1, Pages: 163-172(2024)

    • DOI：10.11835/j.issn.2096-6717.2022.076    

      CLC： TU767;TU17

    • Received：19 April 2022，

      Published：25 February 2024

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  • LU Yujie,ZHONG Tao,WEI Wei,et al.Intelligent evaluation method of indoor finishing construction progress based on image segmentation and positional tracking[J].Journal of Civil and Environmental Engineering,2024,46(01):163-172. DOI： 10.11835/j.issn.2096-6717.2022.076.

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