Published January 9, 2025
| Version 1.0
Dataset
Open
GrapeSLAM: UAV-based monocular visual dataset for SLAM with flight trajectories
Creators
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1.
Wageningen University & Research
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2.
Fraunhofer Institute for Solar Energy Systems
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3.
Chinese Academy of Agricultural Sciences
Contributors
Contact person:
Data collector:
Supervisors:
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1.
Wageningen University & Research
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2.
Fraunhofer Institute for Solar Energy Systems
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3.
Chinese Academy of Agricultural Sciences
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4.
Consejo Superior de Investigaciones Científicas
Description
This dataset contains 24 individual UAV RGB videos in vineyard in Spain. Each flight were collected by mannully controlled with different perceptives (front view, and side view). The video 56 and 61 contains loop closure for detailed SLAM, path planning and 3D reconstruction tasks. The flight record information was saved as .xlsx, which contains flight height, roll, yaw, pitch, speed, distance, and etc.
Files
Files
(40.4 GB)
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md5:59dfdfe1fece31d1e1db4e98ee1d299b
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170.3 kB | Download |
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191.9 kB | Download |
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232.5 kB | Download |
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256.2 kB | Download |
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281.3 kB | Download |
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680.3 kB | Download |
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md5:2cbefd7982db66eefe3e8faf5dd26ee9
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1.2 MB | Download |
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md5:9253aa67a265fc4a7de5d1e5ee74883d
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654.7 kB | Download |
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656.8 kB | Download |
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md5:03de44cc9b8cd31b065f29a1d1ef0923
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490.7 kB | Download |
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md5:a20eb52497aca886e42a087d5f8d65b8
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1.1 MB | Download |
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md5:b240c7736d5479b1371f23f6fc962475
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676.5 MB | Download |
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md5:2dd001e76ec1ed0d7e5443a258965c48
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698.4 MB | Download |
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md5:7ed4cc059909604a4c87b28721698efd
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896.6 MB | Download |
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md5:8c0fc4e91fa9a753f60f9352ab8c8d9d
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952.2 MB | Download |
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md5:026999db8d2dd79218c73929bdc6af4f
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846.1 MB | Download |
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md5:ac0c047079d48c12f33ddb4c0c63d6bd
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964.0 MB | Download |
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md5:77f94ca2e79700ec2ddc1581525de0ad
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821.5 MB | Download |
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md5:a7c60ce3d1eda4f96f5340aac268f714
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1.1 GB | Download |
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md5:272e3c2f22c3d72e2622d2ece00e6253
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1.0 GB | Download |
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md5:770a9081d212302a5c31fdcb8cf61bc0
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1.1 GB | Download |
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md5:3a39d198c43c78746f0e3dd449a7dbc3
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1.0 GB | Download |
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md5:076fbe126e8daad96780cde853a17610
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1.1 GB | Download |
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1.1 GB | Download |
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md5:6c39d5869aa4fb7a92853dde7b7ffc41
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md5:a8c301cb31578f11ab0377d0ee2a4e44
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1.3 GB | Download |
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md5:ee1e1491ba42fc18e6415fce327c2e47
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3.0 GB | Download |
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md5:72fa3e7845e4afbf48edd528ea5ceefa
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5.8 GB | Download |
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md5:fc76fb2b4f92b624e8db8e0570f24d68
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2.9 GB | Download |
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md5:f5edcf8e9d5011338df8ab72ed9a2358
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2.9 GB | Download |
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md5:4544b4c62251f3b812582b234c0feaae
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2.2 GB | Download |
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md5:a1dcc7536563654d0ac8de6cccea8410
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5.0 GB | Download |
Additional details
Related works
- Is supplemented by
- Publication: 10.1016/j.compag.2024.109661 (DOI)