Modeling of Motion of Autonomous Drone Swarms Based on Altitude Measurements from iOS Frameworks

Determining altitude correctly is crucial for autonomous flights, yet errors in navigation are hard to predict or evaluate in the real time due to variety of reasons causing them. Achievement of the necessary level of sophistication in automatic control systems is possible via the use of AI, machine learning and neural networks, however it requires big data arrays for training. Such data can be generated by a simulation model, but the model should be aligned with realistic data patterns obtained during tests on physical devices. This study establishes an experimental environment for addressing the above-mentioned issues.