Datasets for robotic monitoring of EU habitats
Year: 2024
Type: conference-paper
Abstract: To preserve biodiversity, the EU requires extensive habitat monitoring, as mandated by the EU Habitats Directive. Traditional methods rely on manual field surveys, which are labour-intensive and costly. The European Union NI project explores using robotics to assist this process, using quadrupedal robots and machine learning techniques that require large datasets. This paper presents four publicly available datasets collected by the quadrupedal robot ANYmal-C across four EU Natura 2000 habitats. These datasets include photos, videos of plant species, 3D point clouds, and robot locomotion data, offering valuable resources for research in species detection, habitat assessment, and robotics benchmarking.
Authors: Tolomei, Simone, Angelini, Franco, Bonini, Federica, Grassi, Anna, Gigante, Daniela, Valle, Barbara, Serena
Borgatti, Marina, Caccianiga, Marco, De Simone, Leopoldo, Fanfarillo, Emanuele, Fiaschi, Tiberio, Maccherini, Simona, Angiolini, Claudia, Rivieccio, Giovanni, Caria, Maria Carmela, Denaro, Agnese, Bagella, Simonetta, Garabini, Manolo, Salaris, Paolo
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W6930752464
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