UAV Path Prediction (Guideline) - NTUST MITLab
Introduction
We utilize collected data from unmanned aerial vehicle (UAV) movements in the x, y, and z axes as input for model training. The Long Short-Term Memory (LSTM) architecture is employed to train the model, and the OSC AIMLFW framework is used as the training model framework. Through this process, a model capable of predicting the path of UAVs is trained, providing a solution for various use cases.
Ensure that the Influx database is operational for this use case, which is based on the OSC AI/ML Framework (Release-H).
Getting Started (Start from data insertion)
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