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Development of a Kite Visual Tracking System

Student(en):

Betreuer:

Eva Ahbe, Nikolaos Kariotoglou, Tony Wood
Beschreibung:

Technological field: Airborne Wind Energy (AWE) systems harvest wind energy by exploiting the aerodynamic forces generated by autonomous tethered wings, flying fast in crosswind conditions. This technology is able to reach higher altitudes than conventional wind turbines, where the wind is generally stronger and more consistent, while at the same time reducing the construction and installation costs of the generator. The AWE project at IfA focuses on the design of efficient estimation and control methods for flying kites autonomously during the power generation cycle.

Proposed project: In this Master thesis a visual tracking system will be designed and built to detect key features of kites, such as flight direction, shape deformation and line angles, in real-time, while the kite is flying at 80m to 250m away from the base station. The project will combine an industrial pan-tilt motor with a lightweight studio camera as well as a zoom lens. Various computer vision algorithms will be explored to detect the kite direction, shape and position from the full HD video streams in real time. The resulting visual tracking system will be demonstrated in closed-loop kite experiments.



Weitere Informationen
Professor:

Roy Smith
Projektcharakteristik:

Typ:
Art der Arbeit: 35% Theory, 65% Implementation
Voraussetzungen: Solid in estimation and programming in C/C++. Interest in on-board programming and experimentation.
Anzahl StudentInnen: 2
Status: taken
Projektstart: Spring 2016
Semester: