5 papers
Multi-Robot Bearing-only Pose Estimation via Angle Rigidity
J. Francisco Presenza, Leonardo J. Colombo, Ignacio Mas +1
This letter proposes a novel distributed bearing-based pose estimator for time-varying multi-robot systems. The method uses angles computed from body-frame bearings to estimate the…
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…
Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning
AgustÃn 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…
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches
AgustÃn 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…
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…