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Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet

The dataset is used for semantic segmentation of aerial point clouds to identify multiple collision hazards. It contains 1.2M radar returns acquired during approximately 2 hours of flight time.

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Cite this as

Hector Arroyo, Paul Keir, Dylan Angus, Santiago Matalonga, Svetlozar Georgiev, Mehdi Goli, Gerard Dooly, James Riordan (2024). Dataset: Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet. https://doi.org/10.57702/igneicgh

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2311.03221
Author	Hector Arroyo
More Authors	Paul Keir Dylan Angus Santiago Matalonga Svetlozar Georgiev Mehdi Goli Gerard Dooly James Riordan