Automated detection of complex construction scenes using a lightweight transformer-based method

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Hongru Xiao , Bin Yang , Yujie Lu , Wenshuo Chen , Songning Lai , Biaoli Gao
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引用次数: 0

Abstract

Accurate and real-time object detection in complex construction scenes from multiple viewpoints plays a crucial role in effective project management. However, this task remains limited by boundary information sharing and scene sensitivity inherent in deep features. To investigate the deep features in construction scenes and analyze method performance, SODA and VisDrone datasets, mean Average Precision (mAP) series metrics, visual inspection, Grad-CAM, and ablation studies are utilized. This paper proposes a lightweight Transformer-based detection framework named Complex Construction Scenes Transformer (CCS-TR), which integrates with a Scale-Isolate Fusion Attention (SIFA) mechanism and an Instructive Contrastive Learning (ICL) strategy. Evaluation results demonstrate that CCS-TR achieves a 5.1 %–8.8 % improvement in detection accuracy while maintaining lower computational costs, making it suitable for real-time on-site detection. Future work will address detection in interacting complex scenes and develop multi-modal collaboration strategies for extreme lighting.
基于轻量级变压器的复杂施工场景自动检测方法
复杂施工场景中多视点的准确实时目标检测对有效的项目管理起着至关重要的作用。然而,该任务仍然受到边界信息共享和深度特征固有的场景敏感性的限制。为了研究建筑场景的深层特征并分析方法性能,使用了SODA和VisDrone数据集,平均平均精度(mAP)系列指标,目视检查,Grad-CAM和消融研究。本文提出了一种基于变压器的轻量级检测框架——复杂施工场景变压器(CCS-TR),该框架集成了尺度隔离融合注意(SIFA)机制和指导性对比学习(ICL)策略。评估结果表明,CCS-TR在保持较低计算成本的同时,检测精度提高了5.1% - 8.8%,适用于实时现场检测。未来的工作将解决交互复杂场景中的检测问题,并为极端照明开发多模式协作策略。
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来源期刊
Automation in Construction
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.
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