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    Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Yuhan Jiang; Yong Bai; Sisi Han
    Publisher: ASCE
    Abstract: Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of ...
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    Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 009:;page 04021097-1
    Author(s): Yuhan Jiang; Yong Bai
    Publisher: ASCE
    Abstract: This paper presents a 3D reconstruction method for fast elevation determination on construction sites. The proposed method is intended to automatically and accurately determine construction site elevations using drone-based, ...
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    Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 008
    Author(s): Yuhan Jiang; Yong Bai
    Publisher: ASCE
    Abstract: Using deep learning to recover depth information from a single image has been studied in many situations, but there are no published articles related to the determination of construction site elevations. This paper presents ...
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    Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning 

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 004:;page 04022008
    Author(s): Sisi Han; Yuhan Jiang; Yong Bai
    Publisher: ASCE
    Abstract: This paper presents a time- and cost-effective elevation determination method for earthwork operations using ready-to-fly imaging drones and deep learning technologies. The proposed method is named the fast pixel grid/group ...
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    Scan4Façade: Automated As-Is Façade Modeling of Historic High-Rise Buildings Using Drones and AI 

    Source: Journal of Architectural Engineering:;2022:;Volume ( 028 ):;issue: 004:;page 04022031
    Author(s): Yuhan Jiang; Sisi Han; Yong Bai
    Publisher: ASCE
    Abstract: This paper presents an automated as-is façade modeling method for existing and historic high-rise buildings, named Scan4Façade. To begin with, a camera drone with a spiral path is employed to capture building exterior ...
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    Development of a Pavement Evaluation Tool Using Aerial Imagery and Deep Learning 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 003:;page 04021027-1
    Author(s): Yuhan Jiang; Sisi Han; Yong Bai
    Publisher: ASCE
    Abstract: This paper presents the research results of using Google Earth imagery for visual condition surveying of highway pavement in the United States. A screenshot tool is developed to automatically track the highway for collecting ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian