About this Project
The small, low-cost design and easy handling of advanced unmanned aerial vehicles (UAV - unmanned air vehicle) rapidly foster their further development and application. To perform productive activities, the aircraft must be able to accurately and fast estimate its position and measure the 3D shape of its environment. This thesis deals with development of camera based methods for automatic UAV localization and environmental sensing. A new combination of camera pose estimation, 3D reconstruction and mapping will be developed to accomplish this task reliably and in real-time. With the help of such a system, the autonomous use of UAVs is possible and a plurality of applications can be realized.
The project (funded under the program "Industrienahe Dissertationen") is carried out at Austrian Institute of Technology (AIT) under project director Dr. Martin Humenberger (Naver Labs, France) in scientific collaboration with TU Wien.
Funding provided by
Austrian Research Promotion Agency (FFG), Forschungspartnerschaften: Industrienahe Dissertationen