MissionLabAirborneDataset-Clouds
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下载链接：
https://zenodo.org/record/14267122
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资源简介：
MLAD-C
The MissionLabAirborneDataset-Clouds contains aerial images of clouds and associated labeled cloud masks from a flight experiment conducted on October 12, 2023, in the Upper Bavaria region of Germany.
The augmented dataset consists of 5488 RGB images captured from forward-looking perspective.
MLAD-C is designed to develop models for cloud segmentation.
In our cloud detection approach, cloud segmentation functions as a pre-stage to cloud position estimation for sense & avoid purposes.
More detailed information about MLAD-C and the developed cloud segmentation model can be found in our journal article: A Cloud Detection System for UAV Sense and Avoid: Analysis of a Monocular Approach in Simulation and Flight Tests
Directory Structure
MLAD-C is provided in two formats:
augmented sensor recordings prepared for YOLO-v8 framework to reproduce results of journal article
non-augmented sensor recordings in Full HD resolution
The directory structure is as follows:
augmented_mladc
train
images
labels
masks
val
images
labels
masks
mladc.yaml
full_hd_mladc
images
masks
Cite
If you use MLAD-C, please cite the following publication: Dudek, A.; Stütz, P. A Cloud Detection System for UAV Sense and Avoid: Analysis of a Monocular Approach in Simulation and Flight Tests. Drones 2025, 9, 55. https://doi.org/10.3390/drones9010055
Funding
The research project MissionLab is funded by dtec.bw – Digitalization and Technology Research Center of
the Bundeswehr which we gratefully acknowledge. dtec.bw is funded by the European Union –
NextGenerationEU.
创建时间：
2025-01-15
