Published June 13, 2024 | Version 1.0
Dataset Open

UAV-based monocular SLAM video datasets in vineyards with RTK ground truth

  • 1. ROR icon Wageningen University & Research
  • 2. ROR icon Consejo Superior de Investigaciones Científicas
  • 3. ROR icon Fraunhofer Institute for Solar Energy Systems

Contributors

Contact person:

Supervisor:

  • 1. ROR icon Fraunhofer Institute for Solar Energy Systems
  • 2. ROR icon Wageningen University & Research
  • 3. ROR icon Consejo Superior de Investigaciones Científicas

Description

The dataset provides a UAV-based monocular visual SLAM data, designed to evaluate the potential of using monocular visual SLAM in vineyards. It includes videos in ".mp4" format collected by UAV, and  "xlsx" tables which include latitude, longitude, height, speed in x, y and z, comjpass, pitch, roll. The ".xlsx" tables were measured by RTK and can be used as ground truth of UAV trajectory and pose.

This dataset can be combined with other datasets to enable a comprehensive view of the vineyards:

Vélez S, Ariza-Sentís M, Valente J. EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics. Data in Brief. 2024 Jun 1;54:110497. https://doi.org/10.1016/j.dib.2024.110497

Ariza-Sentís M, Wang K, Cao Z, Vélez S, Valente J. GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking. Data in Brief. 2024 Jun 1;54:110432. https://doi.org/10.1016/j.dib.2024.110432

 

 

Files

Front_View_Dark.mp4

Files (35.4 GB)

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Additional details

Dates

Available
2024-06-17