Autopilot software development for unmanned aerial vehicle systems
Abstract
The goal of the project is to create advanced and reliable autopilot software for unmanned aerial vehicles that can adapt to different environments, solve complex scenarios and ensure the safety of the aircraft itself and its surroundings. Using real-time data fusion, optimal control algorithms, and adaptive learning mechanisms, we develop autopilot systems with high autonomy and responsiveness that enable better integration of unmanned aerial vehicles into urban environments.
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