作者
Maximilian Bügler, André Borrmann, Gbolabo Ogunmakin, Patricio A Vela, Jochen Teizer
发表日期
2017/2
期刊
Computer‐Aided Civil and Infrastructure Engineering
卷号
32
期号
2
页码范围
107-123
简介
The high complexity of modern large‐scale construction projects leads their schedules to be sensitive to delays. At underground construction sites, the earthwork processes are vital, as most of the following tasks depend on them. This article presents a method for estimating the productivity of soil removal by combining two technologies based on computer vision: photogrammetry and video analysis. Photogrammetry is applied to create a time series of point clouds throughout excavation, which are used to measure the volume of the excavated soil for daily estimates of productivity. Video analysis is used to generate statistics regarding the construction activities for estimating productivity at finer time scales, when combined with the output from the photogrammetry pipeline. As there may be multiple causes for specific productivity levels, the automated generation of progress and activity statistics from both …
引用总数
2017201820192020202120222023202442017161822205
学术搜索中的文章
M Bügler, A Borrmann, G Ogunmakin, PA Vela, J Teizer - Computer‐Aided Civil and Infrastructure Engineering, 2017