Towards Automated Visual Assessment of Progress in Construction Projects
Towards Automated Visual Assessment of Progress in Construction Projects
复制标题
实现建设项目进度的自动视觉评估
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
E. Trucco
中科院分区：
文献类型：
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作者：
T. Lukins;E. Trucco
目前对建设项目进度的评估是一项手工工作，经常不经常发生，而且容易出错。网站的图像非常混乱，充满了阴影，遮挡，设备和人-使它们非常难以分析。我们提出了第一个原型系统能够检测由固定摄像机观察到的建筑工地上的变化，并将这些变化分类为实际的结构事件，或不相关的。我们利用先前的建筑物模型来对齐相机和场景，从而识别出建筑物组件预计会出现的图像区域。这使我们能够找到重要的更改事件，并验证特定类型组件的实际存在。我们把我们的方法在一个新兴的范例，在建筑行业的整合，并强调自动化的图像为基础的反馈的好处。
Current assessment of progress in construction projects is a manual task that is often infrequent and error prone. Images of sites are extremely cluttered and rife with shadows, occlusions, equipment, and people - making them extremely hard to analyse. We present a first prototype system capable of detecting changes on a building site observed by a fixed camera, and classifying such changes as either actual structural events, or as unrelated. We exploit a prior building model to align camera and scene, thus identifying image regions where building components are expected to appear. This then enables us to home in on significant change events and verify the actual presence of a particular type of component. We place our approach within an emerging paradigm for integration in the construction industry, and highlight the benefits of automated image based feedback.