建筑结构学报2024，Vol.45Issue(7)：56-68,13.DOI:10.14006/j.jzjgxb.2023.0673
基于单目三维尺度恢复的人机碰撞识别与预警
Automated collision recognition and warning for human-machine interaction based on 3D scale recovery of monocular vision
摘要
Abstract
Efficient construction safety managements facilitate healthy and high-quality development of the construction industry.To ensure safe construction,it is crucial to prevent human-machine collision accidents.To accurately recognize the safety risks of human-machine operation,an automated method for human-machine collision risk recognition and warning was proposed based on self-calibration of dual-scale monocular cameras.This method recovered the three-dimensional scale of monocular vision based on the geometric characteristics analysis of the construction site and the extraction of target features,leading to precise measurement of the spatial distance between humans and machines.Furthermore,an approach for human-machine collision warning and visual simulation was proposed based on the kinematic characteristics of construction machinery.This method can trigger multi-level collision warnings based on a human-machine distance threshold.A construction project in Shanghai was selected as a test case and achieved accurate object detections(with average accuracy of 91.2％),spatial distance measurements(with accuracy above 98％)and collision event assessments,with the algorithm frame rate meeting real-time monitoring requirements.关键词
施工单目视觉/三维尺度恢复/人机碰撞/施工安全监管/危险预警Key words
construction monocular vision/three-dimensional scale recovery/human-machine collision/construction safety supervision/hazard warning分类
建筑与水利引用本文复制引用
卢昱杰,王瑞,魏伟,张雁杰,霍骏..基于单目三维尺度恢复的人机碰撞识别与预警[J].建筑结构学报,2024,45(7):56-68,13.基金项目
国家重点研发计划(2022YFC3801700),土水工程Ⅰ类高峰学科建设项目(2022),国家自然科学基金项目(52078374),同济大学-浦发人保城市建设与管理人工智能联合研究中心资助. （2022YFC3801700）
