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Computer Science teaching unit at Frankfurt UAS presents bilingual guide to community use for research and teaching
Since the summer semester of 2025, a project team from the Computer Science Department has been conducting numerous research activities and teaching courses on AI-enabled drones. As a result of this work, a bilingual handbook with technical basics and building instructions for AI-enabled drones is now available. It is designed for various research and teaching scenarios in German and English and will be continuously updated.
Comments and suggestions for improvement welcome
It has been published under a free license. “Our goal is to create a vibrant community that not only uses these instructions for teaching and research projects, but also develops them further”, says Prof. Dr. Christian Baun, program director of the Master's degree program in General Computer Science. “We greatly appreciate comments and suggestions for improvement.“
Affordable components
The handbook offers an introduction to the complex topic of drones with AI. It focuses on the development (including the selection of suitable hardware and software components), construction, and operation of drones in teaching and research projects. When selecting the components, particular attention was paid to adaptability to different application scenarios, acquisition costs, robustness, long-term market availability, and the quality of documentation and manufacturer support.
Focus on practical applications
”The focus is on technologies and solutions that were current at the time of writing and with which practical experience was gained in the field of computer science at Frankfurt UAS”, explains Baun.
The handbook incorporates findings from the research project “AI-Assisted drone platform,” funded by hessian.AI from the Connectom Networking and Innovation Fund, as well as from accompanying student theses and experiences from the Master's degree program “AI Drones” at Frankfurt UAS.
The focus is on the independent development of AI-supported drone systems by small groups. Each semester, students develop, design, and program innovative systems. The tasks include hardware integration, connecting sensors and AI accelerators, designing, implementing, and testing specific application scenarios such as object and animal recognition, environmental monitoring, inspection and logistics tasks, autonomous navigation, and drop mechanisms.
The handbook is freely accessible at the following link: https://github.com/christianbaun/aidrones
You can find the press release here in German: https://idw-online.de/de/news866172
Frankfurt University of Applied Sciences, Faculty 2: Computer Science and Engineering, Prof. Dr. Christian Baun, Email: christianbaun@fra-uas.de
https://github.com/christianbaun/aidrones
At the end of the semester, students in the Master's project module “AI Drones” launched their drone ...
Quelle: B. Bieber
Copyright: B. Bieber/Frankfurt UAS
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