Luft- und Raumfahrtinformatik

The convergence of manned and autonomous aerial vehicles offers significant opportunities for reducing risks to human pilots while enhancing the precision, speed, and efficiency of routine operations. This integration also holds promise for improving search and rescue, firefighting, and law enforcement missions in uncertain conditions. Progress in Urban Air Mobility (UAM) through the development of Future Vertical Lift vehicles drives further synergies between manned and autonomous systems, paving the way for their expanded commercial use in urban environments.

To ensure dependable control and coordination between manned and autonomous aerial vehicles, it is essential to employ sophisticated and adaptable advanced flight control systems that can accommodate the diverse performance characteristics of both manned and autonomous vehicles. These flight control systems necessitate cutting-edge algorithms and real-time decision-making capabilities.
The integration of recent Artificial Intelligence (AI) techniques with human decision-making and planning holds promising prospects for robust solutions, thereby facilitating increased mission flexibility in the operations of both manned and autonomous aerial systems.

Project topics may cover following areas:
• Advanced Flight Control • AI pilot • Autonomous Aerial Systems • Future Vertical Lift Vehicles • Human-Machine Cooperation • Human Pilot Modeling • Teaming Manned-Unmanned / Unmanned-Unmanned • Urban Air MobilityBeschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

The on-board estimation and tracking of a target Resident Space Object’s (RSO) pose, including its position and orientation, is a crucial technology for enabling various on-orbit servicing and active debris removal operations. These missions rely on real-time data about the target's pose relative to the servicer spacecraft to ensure the safe, autonomous, and efficient execution of rendezvous and docking maneuvers. Using a low Size-Weight-Power-Cost (SWaP-C) sensor, like a monocular camera, to extract pose information from individual or sequential images is particularly appealing compared to more complex systems such as LiDAR or stereovision. The course will cover various aspects essential for achieving real-time pose tracking, including hardware integration, synthetic and laboratory-based image generation and processing, neural network training for pose estimation, and the validation and verification of the system's performance. Students will gain hands-on experience in developing and testing the critical technologies required for autonomous spacecraft operations in real-world scenarios.

In the introductory sessions of this module, the fundamentals of Spacecraft Pose Estimation will be presented, and several topics for the practical project work will be introduced to the students. Each group (with a minimum of 2 and a maximum of 4 students) will work on a single topic. These topics will be discussed further during weekly meetings as follows:
• Students will be provided with literature by the supervisor and will also conduct independent literature review. The results will then be presented to the supervisor.
• The instructor will discuss the concepts for implementing the individual projects in software and/or hardware.
• Students will develop a work plan and implement it. The work will include the development and testing of software and/or hardware components.
• Technical details will be discussed during the weekly meetings.
Students will present their progress in two interim presentations (a preliminary design review and a critical design review) and a final presentation, each lasting 15 minutes followed by a 15-minute discussion. Additionally, they will submit the developed hardware or software solution along with a brief documentation (maximum 20 pages).

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Und wir haben den Kurs "Flugsimulator" (10-I=FSIM) mit 10 ECTS für Master Informatik / LuRi. In diesem lernt man, wie man einen A320 fliegt. Der Vortragende ist A320 Pilot einer Deutschen-Fluggesellschaft.

Dies ist ein Kurs über 2 Semester! Ausnahmen können verhandelt werden.
In diesem Semester üben Sie das Fliegen, betreut von den Studenten, die den Kurs im vorherigen Semster gemacht haben. Im nächsten Semester betreuen Sie Studenten aus der nächsten Runde.

Der Kurs beginnt mit einem Blockkurs kurz vor / am Anfang des jeweiligen Semesters! Der Blockkurs ist für die Teilnahme verpflichtend!

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.