1. The GREENBOT dataset: Multimodal mobile robotic dataset for a typical Mediterranean greenhouse
- Author
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Cañadas-Aránega, Fernando, Blanco-Claraco, Jose Luis, Moreno, Jose Carlos, Rodriguez, Francisco, Cañadas-Aránega, Fernando, Blanco-Claraco, Jose Luis, Moreno, Jose Carlos, and Rodriguez, Francisco
- Abstract
This paper introduces an innovative dataset specifically crafted for challenging agricultural settings (a greenhouse), where achieving precise localization is of paramount importance. The dataset was gathered using a mobile platform equipped with a set of sensors typically used in mobile robots, as it was moved through all the corridors of a typical Mediterranean greenhouse featuring tomato crop. This dataset presents a unique opportunity for constructing detailed 3D models of plants in such indoor-like space, with potential applications such as robotized spraying. For the first time to the best knowledge of authors, a dataset suitable to put at test Simultaneous Localization and Mapping (SLAM) methods is presented in a greenhouse environment, which poses unique challenges. The suitability of the dataset for such goal is assessed by presenting SLAM results with state-of-the-art algorithms. The dataset is available online in \url{https://arm.ual.es/arm-group/dataset-greenhouse-2024/}., Comment: 29 pages, 15 figures
- Published
- 2024
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