Improving UAV mobility model for a UAV simulator

In modern UAV research, simulators play a crucial role in testing and evaluating aerial systems under controlled and repeatable conditions. The accuracy of these simulations heavily depends on the fidelity of the mobility models that represent UAV movement, including trajectory planning, speed, acceleration, and environmental interactions.

Existing UAV simulators often rely on simplified or generic mobility models that may not fully capture the complex dynamics of UAV flight in real-world scenarios, such as obstacle avoidance, and cooperative maneuvers in multi-UAV systems. As a result, simulation results may lack precision, limiting the reliability of performance evaluations and system design decisions.

By improving the UAV mobility model, researchers can enhance the realism and predictive accuracy of UAV simulations. A more precise mobility model enables better testing of navigation algorithms, collision avoidance strategies, and cooperative flight scenarios, ultimately contributing to safer and more efficient UAV operations.

This thesis aims to explore, design, and implement an improved UAV mobility model within an existing UAV simulation framework, thereby increasing the fidelity of UAV simulations and supporting advanced research in aerial systems.

Goals of the thesis

The primary objective of this thesis is to improve an existing UAV mobility model for a UAV simulator and evaluation of run-time performances.

More info

• https://github.com/airmobisim/AirMobiSim

Keywords

UAV simulation, Mobility model, C++, Python

Contact

• TH. Pritom
• C. Sommer