Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset]

This dataset is related to "Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments" in IEEE RA-L,2019.

Data Capture
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Data is obtained by manually flying the UAV through the redwood forest environment using a FrSky Taranis (Plus) Digital Telemetry Radio System. In total, 81,674 frames were captured together with the flight behaviour that comprehends flights under and above the forest canopy, navigation inside caves and on river beds, lakes and mountains.

Folder Structure
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|-manual_0 - manual_5: sequences containing training data

|-test_0 - sequences containing testing data

Data Protection
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Gathered by simulated flight using Microsoft AirSim (2019) and released in accordance with MSR Aerial Information and Robotics Simulator (AirSim) lisence, which is described in details bellow:

The MIT License (MIT)

MSR Aerial Informatics and Robotics Platform
MSR Aerial Informatics and Robotics Simulator (AirSim)
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All rights reserved.
MIT License

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