Framework for Real-Time Three-Dimensional Modeling of Infrastructure

Teizer, Jochen; Kim, Chang-Wan; Haas, Carl T.; Liapi, Katherine A.; Caldas, Carlos H.

doi:10.3141/1913-17

Cited by 17 publications

(6 citation statements)

References 14 publications

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“…As-built modelling has a large overlap with the Geometry Processing field, but the input is restricted to point clouds of infrastructure assets, and not any generic object, simplifying the problem to rigid shape analysis [33,70,107]. However, the huge amount of data to be processed (more than one hundred million points in some cases) and the high number of elements in the scene require efficient methods, and therefore generic Geometry Processing tools can not be straightforwardly applied.…”

Section: Relation To Other Fieldsmentioning

confidence: 99%

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State of Research in Automatic As-Built Modelling

Pătrăucean¹,

Armeni²,

Nahangi³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Section: Relation To Other Fieldsmentioning

confidence: 99%

“…This strategy reduces the memory requirements, while preserving the distinctive features of the building. In civil infrastructure, primitive detection was used as the basis of different frameworks for tasks involved with operation and maintenance [70,72,107].…”

Section: Auxiliary Heuristicsmentioning

confidence: 99%

State of Research in Automatic As-Built Modelling

Pătrăucean¹,

Armeni²,

Nahangi³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

Self Cite

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“…Once the combinations of experiments are conducted, analysis will show the performance of the approached modeling methods. More results and limitations of initial experimental results can be found in [6] and [7].…”

Section: Methodsmentioning

confidence: 99%

Real-Time, Three-Dimensional Object Detection and Modeling in Construction

Teizer¹,

Bosché²,

Caldas³

et al. 2005

Proceedings of the 22nd International Symposium on Automation and Robotics in Construction

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-This paper describes a research effort directed to produce methods to model three-dimensional scenes of construction field objects in real-time that adds valuable data to construction information management systems, as well as equipment navigation systems. For efficiency reasons, typical construction objects are modeled by bounding surfaces using a high-frame rate range sensor, called Flash LADAR. The sensor provides a dense cloud of range points which are segmented and grouped into objects. Algorithms are being developed to accurately detect these objects and model characteristics such as volume, speed, and direction. Initial experiments show the feasibility of this method. The advantages and limitations, and potential solutions to limitations are summarized in this paper.

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“…Many current research efforts associated with progress and productivity monitoring seek to prove the hypothesis that it is possible to reliably track multiple resources with images (video and/or time‐lapse) to reproduce the daily workflow activities associated with a construction site. The intent behind such monitoring and analysis is to automatically provide critical information, through computer‐vision algorithms, on construction operations for improved decision making in construction engineering and management (Teizer et al., ).…”

Section: Introductionmentioning

confidence: 99%

Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

Bügler

Borrmann

Ogunmakin

et al. 2016

Computer aided Civil Eng

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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 measurement methods supports interpretation of the productivity estimates. Comparison to annotated ground truth for the tracking and activity monitoring method highlights the reliability of the extracted information. The suitability of the approach is demonstrated by two case studies of real‐world urban excavation projects.

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Framework for Real-Time Three-Dimensional Modeling of Infrastructure

Cited by 17 publications

References 14 publications

State of Research in Automatic As-Built Modelling

State of Research in Automatic As-Built Modelling

Real-Time, Three-Dimensional Object Detection and Modeling in Construction

Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

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