Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future

Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future
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DOI:
10.1016/j.aei.2015.01.011
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发表时间:
2015-04
期刊:
Adv. Eng. Informatics
影响因子:
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通讯作者:
Jun Yang;Man-Woo Park;P. Vela;M. G. Fard
Jun Yang;Man-Woo Park;P. Vela;M. G. Fard
中科院分区:
其他
文献类型:
--
作者:
Jun Yang;Man-Woo Park;P. Vela;M. G. Fard

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及时准确地监测现场施工操作,可以立即意识到项目的具体问题。它为从业者提供了他们需要的信息,以便轻松快速地做出项目控制决策。尽管它们很重要,但是当前的实践仍然很耗时、昂贵并且容易出错。为了便于收集和分析性能数据,研究人员一直致力于设计能够在项目级别和操作级别半自动或自动评估正在进行的操作的方法。一个主要的工作重点是开发计算机视觉技术,可以利用静止图像、延时照片和视频流来记录正在进行的工作。为此,本文对这些最新的基于视觉的施工性能监测方法进行了广泛的综述。根据感知的信息水平和输出的类型,这些方法主要分为两类(即项目级:对民用基础设施或建筑构件的视觉监控与操作级:对施工设备和工人的视觉监控)。详细讨论了这些方法中使用的基本公式和假设。最后,确定了在未来研究中需要解决的知识空白。
Timely and accurate monitoring of onsite construction operations can bring an immediate awareness on project specific issues. It provides practitioners with the information they need to easily and quickly make project control decisions. Despite their importance, the current practices are still time-consuming, costly, and prone to errors. To facilitate the process of collecting and analyzing performance data, researchers have focused on devising methods that can semi-automatically or automatically assess ongoing operations both at project level and operation level. A major line of work has particularly focused on developing computer vision techniques that can leverage still images, time-lapse photos and video streams for documenting the work in progress. To this end, this paper extensively reviews these state-of-the-art vision-based construction performance monitoring methods. Based on the level of information perceived and the types of output, these methods are mainly divided into two categories (namely project level: visual monitoring of civil infrastructure or building elements vs. operation level: visual monitoring of construction equipment and workers). The underlying formulations and assumptions used in these methods are discussed in detail. Finally the gaps in knowledge that need to be addressed in future research are identified.