Drone-based Wildlife Analysis and Habitat Reconstruction

WildDrone is an international training network funded by the EU’s Marie Skłodowska-Curie Actions, dedicated to advancing drone technology for wildlife conservation. Through innovative research, the initiative aims to deepen our understanding of ecosystems and support more effective conservation strategies. Our work focuses on the 3D reconstruction of natural habitats using semantic segmentation to analyze ecological structures, as well as the extraction of animal biometrics to aid in monitoring and studying wildlife.

Related Publications:

Catricheo, Constanza Andrea Molina, Dominik Drees, Pierre Ouvrard, Devis Tuia, Fabio Remondino, Adrien Sicard and Benjamin Risse. "Generating High-Fidelity 3D Models of Individual Plants from Handheld Video Recordings." Computer Vision in Plant Phenotyping and Agriculture Workshop at ECCV 2024
Vandita Shukla, Luca Morelli, Pawel Trybala, Fabio Remondino, Wentian Gan, Yifei Yu and Xin Wang Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research International Micro Air Vehicle Conference and Competition 2024
Vandita Shukla, Luca Morelli, Fabio Remondino, Andrea Micheli, Devis Tuia, and Benjamin Risse Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII 2024