Research interests
Photogrammetric engineering and remote sensing systems including intelligent mobile systems for automated and autonomous sensing and mapping applications; 3D reconstruction from optical and range data, spatial awareness and intelligence, and Machine and Deep Learning methods for autonomous navigation, land-cover change detection, image segmentation, classification, satellite-derived bathymetry, and satellite-based air pollution monitoring.
Research projects
- Remotely piloted mobile mapping systems – Towards robotic mapping
- Robotic mapping, monitoring and tracking – Development of low-cost unmanned aerial mapping systems (UAMS).
- Model-based pose estimation.
- Low-cost dual IMU vision-based navigation.
- RGB-D based localization and mapping.
- Tree species classification from UAV RGB and MS images
- Building detection from imagery
- Spatial change detection from imagery
- Photogrammetric object tracking from mobile video images
- Rigid and non-rigid surface alignment
- Bluetooth based indoor positioning and navigation
- Robotic navigation and mapping using omni-directional camera
- 3D building evacuation route modelling and visualization
- Pavement surface condition evaluation using video images
- Traffic sign detection and classification from mobile lidar and image data
- Improved global web map visualization
- 3D virtual models
- Prioritization of disaster risks in a community using GIS techniques
- Estimation of surface NO2 using TEMPO satellite data
- Satellite-derived bathymetric mapping
