The University of Applied Sciences Kufstein Tirol hires ISK students for drone research projects
In the Kufstein district, there is great potential for researching and especially using automated mobility. Several funding bodies (Interreg Bayern-Österreich, the State of Tyrol, and the Tyrolean Scientific Fund) are giving the university of applied sciences in Kufstein support with researching fields of application for automated mobility.
Paid internships have now been given to students at International School Kufstein Tirol (ISK) by the “FFG Subsidizing Talents” program. This English-language internship starts at the end of the current school year and is supported by researchers at the University of Applied Sciences Kufstein Tirol.
“We are very glad that our students can have contact with research work at a higher education institution during a summer internship. Our proximity to the University of Applied Sciences Kufstein Tirol allows simple processing and efficient structuring,” said ISK Director Mag. Claudia Atzl and Managing Director Mag. (FH) Walter Weiskopf happily.
The university of applied sciences' rector is also glad about collaboration with these young interns, “As a research director, I am very glad that we can give the students an insight into our scientific work. The results will be included in our later research work,” said Prof. (FH) Dr. Mario Döller with an excited, happy view of the collaboration.
Three research projects in the hands of ISK students
The first project deals with “Modeling 3D Environments for Simulations.” Using 3D models, drone flights can be simulated and prepared for real (test) flights. The students will have the task of becoming familiar with the software and starting to establish virtual worlds. At the drone center of the University of Applied Sciences Kufstein Tirol, the researchers will find the resources necessary for developing the 3D model and the test flights.
During the second project, test scenarios and examples with two Tello drones will be developed and examined based on the criteria of the test scenarios and examples. For the first tests, Tello drone demonstration scenarios that are already available will be used initially and will then be expanded by the group. The results are then to be prepared for marketing purposes to be able to better show drone research to interested persons.
The third project focuses on developing algorithms for drone swarms. Initial application cases (obstacle detection, path navigation, etc.) will be created using the ROS (robot operating system) framework. The new algorithms will be tested in a simulation environment with an automated drone before a real flight.