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Getting started with ADAPT

The ADAPT payload source code is hosted here:

Trying ADAPT without any hardware

There is also another way to explore the ADAPT processing software without requiring a flyable ADAPT payload here: ADAPT Processing of AirSim Data. This tutorial uses Microsoft AirSim as a drone sensor emulator running alongside ADAPT processes within a fully Dockerized environment. Camera images along with associated ground-truth depth and semantic segmentation images are rendered and saved to disk as you navigate a simulated drone with your keyboard through a forested mountain landscape. The pairing of raw imagery with ground truth allows training a semantic segmentation deep-neural-network model using ADAPT training tools. Finally, the trained model is deployed to process AirSim imagery in real time.