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    Color Component–Based Road Feature Extraction from Airborne Lidar and Imaging Data Sets 

    Source: Journal of Surveying Engineering:;2017:;Volume ( 143 ):;issue: 001
    Author(s): Li Liu; Samsung Lim
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a new framework of road feature extraction from color component–based data fusion of aerial imagery and lidar data. The proposed framework consists of six procedures: (1) removal of elevated objects ...
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    Enhanced Autocorrelation-Based Algorithms for Filtering Airborne Lidar Data over Urban Areas 

    Source: Journal of Surveying Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Sara Shirowzhan; Samsung Lim; John Trinder
    Publisher: American Society of Civil Engineers
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    CorDet: Corner-Aware 3D Object Detection Networks for Automated Scan-to-BIM 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003:;page 04021002-1
    Author(s): Yongzhi Xu; Xuesong Shen; Samsung Lim
    Publisher: ASCE
    Abstract: The use of automatic building information modeling (BIM) based on point cloud scans is in increasing demand in many engineering applications, such as construction progress monitoring, building renovation, project management, ...
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    Three-Dimensional Object Detection with Deep Neural Networks for Automatic As-Built Reconstruction 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 009:;page 04021098-1
    Author(s): Yongzhi Xu; Xuesong Shen; Samsung Lim; Xuesong Li
    Publisher: ASCE
    Abstract: Automatic three-dimensional (3D) as-built reconstruction for non-Manhattan structures and multiroom buildings remains an industrywide challenge due to complex building environments and high demands for generating volumetric ...
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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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