most citedEfficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Multi-Robot Bearing-based Pose Estimation via Angle Rigidity

J. Francisco Presenza, Leonardo J. Colombo, Ignacio Mas +1

This letter proposes a novel distributed pose estimator for multi-robot systems evolving on . The robots' positions are estimated in using angles com…

eess.SY2026

Angle-based Localization and Rigidity Maintenance Control for Multi-Robot Networks

J. Francisco Presenza, Leonardo J. Colombo, Juan I. Giribet +1

In this work, we study angle-based localization and rigidity maintenance control for multi-robot networks. First, we establish the relationship between angle rigidity and bearing r…

cs.CV2025★ 3 cited

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning

Agustín Roca, Gabriel Torre, Juan I. Giribet +4

This paper examines the use of Unmanned Aerial Vehicles (UAVs) and deep learning for detecting endangered deer species in their natural habitats. As traditional identification proc…

cs.CV2025★ 2 cited

Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches

Agustín Roca, Gastón Castro, Gabriel Torre +4

This study compares the performance of state-of-the-art neural networks including variants of the YOLOv11 and RT-DETR models for detecting marsh deer in UAV imagery, in scenarios w…

cs.RO2025

Enhanced UAV Navigation Systems through Sensor Fusion with Trident Quaternions

Sebastian Incicco, Juan Ignacio Giribet, Leonardo Colombo

This paper presents an integrated navigation algorithm based on trident quaternions, an extension of dual quaternions. The proposed methodology provides an efficient approach for a…