Mohd Wafi Nasrudin
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Preferred name
Mohd Wafi Nasrudin
Official Name
Mohd Wafi , Nasrudin
Alternative Name
Nasrudin, Mohd Wafi
Wafi, N. M.
Main Affiliation
Scopus Author ID
57193691419
Researcher ID
FMA-4535-2022

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  • Publication
    Using Unmanned Aerial Vehicle in 3D Modelling of UniCITI Campus to Estimate Building Size
    ( 2021-07-26)
    Mohd Saifizi Saidon
    ;
    Syahirah N.
    ;
    Wan Azani Wan Mustafa
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Wafi Nasrudin
    The drone mapping has a huge potential for numerous sectors including construction, agriculture, mining, infrastructure inspection and real estate. Drones are used as assisting tools in civil applications for large-scale aerial mapping of buildings, which is a difficult task for surveyors to do because of the unreachable access area, time consuming, and expensive due to limited resources and equipment. To address this issue, this paper introduces UAV-based mapping. Furthermore, when flying from a different flight plan, the UAV will capture and collect visual images. Then, the image from drone was process in Agisoft Metashape software to generate a 3D model of building. This process will go through several steps to analyze which method for capturing images can produce high-quality 3D mapping. The research results of this project are to determine which photogrammetry technique can generate a high quality of 3D mapping with accurate and fast.
  • Publication
    Using Unmanned Aerial Vehicle in 3D Modelling of UniCITI Campus to Estimate Building Size
    ( 2021-07-26)
    Mohd Saifizi Saidon
    ;
    Syahirah N.
    ;
    Wan Azani Wan Mustafa
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Wafi Nasrudin
    The drone mapping has a huge potential for numerous sectors including construction, agriculture, mining, infrastructure inspection and real estate. Drones are used as assisting tools in civil applications for large-scale aerial mapping of buildings, which is a difficult task for surveyors to do because of the unreachable access area, time consuming, and expensive due to limited resources and equipment. To address this issue, this paper introduces UAV-based mapping. Furthermore, when flying from a different flight plan, the UAV will capture and collect visual images. Then, the image from drone was process in Agisoft Metashape software to generate a 3D model of building. This process will go through several steps to analyze which method for capturing images can produce high-quality 3D mapping. The research results of this project are to determine which photogrammetry technique can generate a high quality of 3D mapping with accurate and fast.