Geoinformation and Geodetic Engineering encompasses a group of spatial data technologies and theory that involve one or more areas of research using photogrammetry, image understanding, mapping/geographic information science, satellite geodesy, remote sensing, real time mapping, and image processing. The field embodies traditional geomatics engineering disciplines of data analysis, photogrammetry, global positioning systems (GPS) technologies, and surveying, as well as emerging areas, such as hyperspectral imaging, sensor networks, computer vision, and real-time navigation and timing.
The areas of research actively pursued by our faculty and students are pushing the state-of-the-art in localization and navigation with GPS and, generally, Global Navigation Satellite System (GNSS) and their integration with other sensors; personal navigation, cooperative navigation for autonomous navigation and collision avoidance, safety and security, modern sensor integration and data fusion, LiDAR, surface modeling and feature extraction, and other emerging areas, such as hyperspectral imaging, sensor networks, and Unmanned Airborne Systems (UAS).
The Photogrammetric Computer Vision Laboratory conducts research on several challenging problems, including the recognition of human actions, tracking objects, and recovering geospatial trajectories of mobile objects.
The Satellite Positioning and Inertial Navigation (SPIN) Laboratory conducts research on various GPS applications, mobile mapping systems, and GPS/INS integration.
The Geospatial Data Analytics Group (GDA) addresses the problems related to geospatial data acquisition and analytics. Their research will be under the general background of Remote Sensing, Photogrammetry and Computer Vision, with focuses spanning from the fundamental geospatial data processing, remote sensing analytics and geospatial data management towards relevant civil, environmental applications.