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Three Research Areas
Three Research Areas
UAV System Integration and Geospatial Information Applications
UAV System Integration and Geospatial Information Applications
This field focuses on the integration of UAV systems, navigation and positioning, and sensing technologies. It combines geospatial data processing and image analysis methods to develop efficient spatial data collection, 3D modeling, and intelligent geospatial information applications.
Structural Inspection Applications
Structural Inspection Applications
This field integrates photogrammetry and computer vision techniques to conduct infrastructure monitoring and damage detection. It aims to develop automated image analysis and structural health assessment methods.
Smart Road Applications
Smart Road Applications
This area focuses on the investigation of road facilities, pavement condition recognition, and spatial data analysis techniques. By integrating mobile mapping and artificial intelligence methods, it aims to develop intelligent road facility surveying and road inspection technologies.
Four Core Technologies
Four Core Technologies
Geographic Information System (GIS)
Geographic Information System (GIS)
Integrate spatial data management and analysis technologies to perform spatial data processing, visualization, and decision-making analysis through Geographic Information Systems (GIS), supporting applications such as environmental monitoring and smart cities.
Mobile Mapping Systems (MMS) and Unmanned Aerial Vehicles (UAVs)
Mobile Mapping Systems (MMS) and Unmanned Aerial Vehicles (UAVs)
Utilize mobile mapping systems and UAV platforms to rapidly acquire high-precision spatial data for applications in topographic surveying, environmental investigation, and spatial information development. o perform spatial data processing, visualization, and decision-making analysis through Geographic Information Systems (GIS), supporting applications such as environmental monitoring and smart cities.
Photogrammetry and Computer Vision (P&CV)
Photogrammetry and Computer Vision (P&CV)
Utilize photogrammetry and computer vision technologies to reconstruct three-dimensional spatial information from images, supporting applications in 3D modeling, scene reconstruction, and intelligent environmental sensing.
Artificial Intelligence Applications (AI Applications)
Artificial Intelligence Applications (AI Applications)
Leverage artificial intelligence and deep learning techniques for image recognition, data analysis, and intelligent decision-making, improving the efficiency and automation of spatial information processing.
Five Core Principles
Five Core Principles
Accurate measurement
Accurate measurement
Utilize high-precision sensors and positioning technologies to accurately measure and locate spatial data, ensuring the reliability of geospatial information and environmental data.
Efficiently acquire
Efficiently acquire
Efficiently acquire multi-source spatial data using unmanned aerial vehicles (UAVs), ground vehicles, and automated platforms, thereby enhancing data acquisition speed and spatial coverage.
Intelligent Computing
Intelligent Computing
Integrate artificial intelligence and spatial analysis algorithms to intelligently process large-scale spatial data and perform decision-making analysis.
Observation Environmental
Observation Environmental
Utilize remote sensing and sensing technologies to continuously monitor natural and human-induced environmental changes, establishing long-term spatial monitoring capabilities.
Unceasing Evolution
Unceasing Evolution
Continuously enhance the accuracy, efficiency, and application capabilities of spatial information systems through data updates and model optimization.
Course Information
Course Information
Image Sensing and 3D Scene Reconstruction
Mobile Mapping and Smart Road Inspection
UAV Image Processing and Object Recognition
Graduation Requirements
Graduation Requirements
Undertake at least one industry–academia collaborative research project
Participate in and present a paper at an international conference
Achieve a TOEIC score of 785 or above (550 is the university’s minimum requirement)
Aim to graduate within two years (early graduation leads to earlier employment; space is limited, so extended stays may not be feasible)
Related Benefits and Special Requirements
Related Benefits and Special Requirements
Midterm gatherings and year-end banquet
Lab snack budget – NT$5,000 per month
Frequent business trips for data collection; a driver’s license is recommended
Frequent UAV system testing and data collection; a Basic Level I (or above) UAV certification is recommended
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