Curtain wall frame segmentation using a dual-flow aggregation network: Application to robot pose estimation

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2024-10-09 DOI:10.1016/j.autcon.2024.105816

Decheng Wu , Xiaoyu Xu , Rui Li , Xuzhao Peng , Xinglong Gong , Chul-Hee Lee , Penggang Pan , Shiyong Jiang

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引用次数: 0

Abstract

In the field of curtain wall construction, manual installation presents significant safety hazards and suffers from low efficiency, while automated installation is constrained by the limited localization capabilities of curtain wall installation robots. In this paper, an automated installation solution based on machine vision is proposed, and a detailed discussion of several steps involved is provided. To locate the installation area, DANF, a deep learning-based dual-flow aggregation network designed for curtain wall frame segmentation, is proposed. It employs Transformer for global analysis and CNNs for detailed feature extraction to handle curtain wall frame structures. On the dataset constructed in this paper, DANF achieves an IoU of 85.19 % with a parameter count of only 4.24 M, demonstrating higher accuracy compared to other algorithms. Additionally, a pose-solving method based on the semantic segmentation results of the curtain wall frame is designed to adapt to curtain wall installation scenarios.

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使用双流聚合网络进行幕墙框架分割：机器人姿态估计应用

在幕墙建筑领域，人工安装存在严重的安全隐患且效率低下，而自动安装则受限于幕墙安装机器人有限的定位能力。本文提出了一种基于机器视觉的自动安装解决方案，并对其中的几个步骤进行了详细讨论。为了定位安装区域，本文提出了基于深度学习的双流聚合网络 DANF，该网络专为幕墙框架分割而设计。它采用 Transformer 进行全局分析，采用 CNN 进行细节特征提取，以处理幕墙框架结构。在本文构建的数据集上，DANF 实现了 85.19 % 的 IoU，而参数数量仅为 4.24 M，与其他算法相比具有更高的准确性。此外，还设计了一种基于幕墙框架语义分割结果的姿势解决方法，以适应幕墙安装场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.