Proof of Concept for the Use of Small Unmanned Surface Vehicle in Built Environment Management

Shojaei, Alireza; Moud, Hashem Izadi; Flood, Ian

doi:10.1061/9780784481264.012

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Secondly, even components that are physically within the range of the scanner may still be blocked from view by various pieces of equipment and other obstacles located around the construction site, resulting in an incomplete 3D data set obtained on a construction site. To overcome this problem, researchers have proposed UAV-based 3D laser scanning methods [ 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. The authors argued that this approach can provide visual and detailed progress information with good area coverage and views from human-inaccessible angles.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards Automated Measurement of As-Built Components Using Computer Vision

Perez

Tah

2023

Sensors

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Regular inspections during construction work ensure that the completed work aligns with the plans and specifications and that it is within the planned time and budget. This requires frequent physical site observations to independently measure and verify the completion percentage of the construction progress performed over periods of time. The current computer vision techniques for measuring as-built elements predominantly employ three-dimensional laser scanning or three-dimensional photogrammetry modeling to ascertain the geometric properties of as-built elements on construction sites. Both techniques require data acquisition from several positions and angles to generate sufficient information about the element’s coordinates, making the deployment of these techniques on dynamic construction project sites challenging. This paper proposes a pipeline for automating the measurement of as-built components using artificial intelligence and computer vision techniques. The pipeline requires a single image obtained with a stereo camera system to measure the sizes of selected objects or as-built components. The results in this work were demonstrated by measuring the sizes of concrete walls and columns. The novelty of this work is attributed to the use of a single image and a single target for developing a fully automated computer vision-based method for measuring any given object. The proposed solution is suitable for use in measuring the sizes of as-built components in built assets. It has the potential to be further developed and integrated with building information modelling applications for use on construction projects for progress monitoring.

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Section: Literature Reviewmentioning

confidence: 99%

Towards Automated Measurement of As-Built Components Using Computer Vision

Perez

Tah

2023

Sensors

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“…In [40,45,52,[56][57][58]62,69,72,[77][78][79][80]85] a comparison with damage, deformation, and, in general, real-world manual measurements was performed. Finally, a proof of concept was provided in [84], with only qualitative results. 1).…”

Section: Validation With Gold-standardmentioning

confidence: 99%

Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications

Ferraris

Amprimo

Pettiti

2023

Signals

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Structural deterioration is a primary long-term concern resulting from material wear and tear, events, solicitations, and disasters that can progressively compromise the integrity of a cement-based structure until it suddenly collapses, becoming a potential and latent danger to the public. For many years, manual visual inspection has been the only viable structural health monitoring (SHM) solution. Technological advances have led to the development of sensors and devices suitable for the early detection of changes in structures and materials using automated or semi-automated approaches. Recently, solutions based on computer vision, imaging, and video signal analysis have gained momentum in SHM due to increased processing and storage performance, the ability to easily monitor inaccessible areas (e.g., through drones and robots), and recent progress in artificial intelligence fueling automated recognition and classification processes. This paper summarizes the most recent studies (2018–2022) that have proposed solutions for the SHM of infrastructures based on optical devices, computer vision, and image processing approaches. The preliminary analysis revealed an initial subdivision into two macro-categories: studies that implemented vision systems and studies that accessed image datasets. Each study was then analyzed in more detail to present a qualitative description related to the target structures, type of monitoring, instrumentation and data source, methodological approach, and main results, thus providing a more comprehensive overview of the recent applications in SHM and facilitating comparisons between the studies.

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“…Maawali et al [14] design a USV for oil spill handling. Shojaei et al [15] shows the feasibility of using a small USV for built environment management such as structural health monitoring.…”

Section: Water Surface Robotmentioning

confidence: 99%

SMURF: A Fully Autonomous Water Surface Cleaning Robot with A Novel Coverage Path Planning Method

Zhu

Yang

Cheng

2022

JMSE

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In recent years, more attention has been paid to water surface environment protection. Current water surface waste cleaning mainly relies on manual operations, which are low-efficiency and dangerous. Therefore, in this paper, we design a fully autonomous water surface cleaning robot, SMURF, which achieves high-efficiency water surface cleaning without human operation and adapts to be used in various types of real-world water bodies. In addition, we propose a novel coverage path planning method on water surfaces and an improved nonlinear model predictive controller. The real-world experiment shows that SMURF works well in different kinds of water bodies and achieves much higher efficiency than traditional water surface cleaning methods.

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Proof of Concept for the Use of Small Unmanned Surface Vehicle in Built Environment Management

Cited by 10 publications

References 17 publications

Towards Automated Measurement of As-Built Components Using Computer Vision

Towards Automated Measurement of As-Built Components Using Computer Vision

Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications

SMURF: A Fully Autonomous Water Surface Cleaning Robot with A Novel Coverage Path Planning Method

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