Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities

Omar, Hany; Mahdjoubi, Lamine; Kheder, Gamal

doi:10.1016/j.compind.2018.03.012

Cited by 89 publications

(57 citation statements)

References 30 publications

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“…Photogrammetric point clouds are obtained from photographic images. Some past works used fixed on-site cameras (Golparvar-Fard et al, 2011;Kim et al, 2013a;Omar et al, 2018) for image capture, but focused only on a small segment of the construction site. A large number of devices would be required to achieve complete coverage of the construction site, since each visible point needs to be covered by at least two cameras (Braun et al, 2015).…”

Section: Crane Camera Point Cloudsmentioning

confidence: 99%

Multi-Building Extraction and Alignment for As-Built Point Clouds: A Case Study With Crane Cameras

Masood

Aikala

Seppänen

et al. 2020

Front. Built Environ.

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Automatic reality capture and monitoring of construction sites can reduce costs, accelerate timelines and improve quality in construction projects. Recently, automatic close-range capture of the state of large construction sites has become possible through crane and drone-mounted cameras, which results in sizeable, noisy, multi-building as-built point clouds. To infer construction progress from these point clouds, they must be aligned with the as-designed BIM model. Unlike the problem of aligning single buildings, the multi-building scenario is not well-studied. In this work, we address some unique issues that arise in the alignment of multi-building point clouds. Firstly, we show that a BIM-based 3D filter is a versatile tool that can be used at multiple stages of the alignment process. We use the building-pass filter to remove non-building noise and thus extract the buildings, delineate the boundaries of the building after the base is identified and as a post-processing step after the alignment is achieved. Secondly, in light of the sparseness of some buildings due to partial capture, we propose to use the best-captured building as a pivot to align the entire point cloud. We propose a fully automated three-step alignment process that leverages the simple geometry of the pivot building and aligns partial xy-projections, identifies the base using z-histograms and aligns the bounding boxes of partial yz-projections. Experimental results with crane camera point clouds of a large construction site show that our proposed techniques are fast and accurate, allowing us to estimate the current floor under construction from the aligned clouds and enabling potential slab state analysis. This work contributes a fully automated method of reality capture and monitoring of multi-building construction sites.

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Section: Crane Camera Point Cloudsmentioning

confidence: 99%

Multi-Building Extraction and Alignment for As-Built Point Clouds: A Case Study With Crane Cameras

Masood

Aikala

Seppänen

et al. 2020

Front. Built Environ.

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“…The former are mainly caused by moving objects such as personnel or working equipment (figure 1, left), while the latter have a large variety of causes. Examples of this are auxiliary equipment such as moldings and scaffolding, which are the main sources of static occlusions, but also construction materials on the site, such as reinforcement steel or bricks, frequently obstruct the scene (figure 1, right) (Omar et al, 2018.…”

Section: Auxiliary Equipment and Cluttermentioning

confidence: 99%

“…A first factor that aids in the reduction of occlusions depends on their duration. Short-term dynamic occlusions caused by moving working staff could be avoided either by capturing the scene at specific times such as breaks or after working hours (Omar et al, 2018). Another possibility is waiting a short amount of time until the workers have moved elsewhere.…”

Section: Auxiliary Equipment and Cluttermentioning

confidence: 99%

Image Recording Challenges for Photogrammetric Construction Site Monitoring

Vincke

Bassier

Vergauwen

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Construction site monitoring and progress monitoring is becoming increasingly popular in the architecture, engineering and construction (AEC) industry. To this end remote sensing techniques are used to gather consecutive datasets of the construction site. This work focuses on the recording of imagery for photogrammetric processing and the challenging conditions often encountered on construction sites. The constantly evolving character of a such sites requires datasets to be captured as quickly as possible. Furthermore other recording complexities arise such as the presence of auxiliary equipment and clutter or reflections caused by wet surfaces, hindering quick and complete recordings. Apart from these external factors also construction elements themselves often complicate the capturing workflow.This work enumerates several real-world examples of difficulties construction sites pose for the recording of imagery for photogrammetry purposes. Each section provides an insight in a specific challenge, typical for construction sites, and discusses applicable field-tested solutions including an overview of relevant solutions found in literature.

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“…Unmanned aircraft systems (UASs), also known as drones, have commonly been used in civil engineering and military applications [1]. For example, UAS-based aerial images integrated with photogrammetric technologies allow for classifying building elements [2], monitoring and controlling construction sites [3], and creating virtual environments for mission planning and rehearsals [1]. The photogrammetric technology, which maps images acquired by drones onto a 3D model, provides simple analytics, for example, distance and dimension measurement.…”

Section: Introductionmentioning

confidence: 99%

A Novel Building Temperature Simulation Approach Driven by Expanding Semantic Segmentation Training Datasets with Synthetic Aerial Thermal Images

2021

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Multi-sensor imagery data has been used by researchers for the image semantic segmentation of buildings and outdoor scenes. Due to multi-sensor data hunger, researchers have implemented many simulation approaches to create synthetic datasets, and they have also synthesized thermal images because such thermal information can potentially improve segmentation accuracy. However, current approaches are mostly based on the laws of physics and are limited to geometric models’ level of detail (LOD), which describes the overall planning or modeling state. Another issue in current physics-based approaches is that thermal images cannot be aligned to RGB images because the configurations of a virtual camera used for rendering thermal images are difficult to synchronize with the configurations of a real camera used for capturing RGB images, which is important for segmentation. In this study, we propose an image translation approach to directly convert RGB images to simulated thermal images for expanding segmentation datasets. We aim to investigate the benefits of using an image translation approach for generating synthetic aerial thermal images and compare those approaches with physics-based approaches. Our datasets for generating thermal images are from a city center and a university campus in Karlsruhe, Germany. We found that using the generating model established by the city center to generate thermal images for campus datasets performed better than using the latter to generate thermal images for the former. We also found that using a generating model established by one building style to generate thermal images for datasets with the same building styles performed well. Therefore, we suggest using training datasets with richer and more diverse building architectural information, more complex envelope structures, and similar building styles to testing datasets for an image translation approach.

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Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities

Cited by 89 publications

References 30 publications

Multi-Building Extraction and Alignment for As-Built Point Clouds: A Case Study With Crane Cameras

Multi-Building Extraction and Alignment for As-Built Point Clouds: A Case Study With Crane Cameras

Image Recording Challenges for Photogrammetric Construction Site Monitoring

A Novel Building Temperature Simulation Approach Driven by Expanding Semantic Segmentation Training Datasets with Synthetic Aerial Thermal Images

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