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20232026
most citedEnhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning

2 citations · 2 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

ArborSplat: Online Semantic Gaussian Splatting SLAM for Orchards

Alessandro Masini, Matteo Frosi, Mirko Usuelli +1

Orchard robots need maps that preserve small but semantically important structures such as trunks, trellises, and fruit. 3D Gaussian Splatting (3DGS) SLAM achieves high photometric…

cs.RO2025

AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM

Mirko Usuelli, David Rapado-Rincon, Gert Kootstra +1

Autonomous robots in orchards require real-time 3D scene understanding despite repetitive row geometry, seasonal appearance changes, and wind-driven foliage motion. We present Agri…

cs.RO2024★ 2 cited

Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning

Michele Carlo La Greca, Mirko Usuelli, Matteo Matteucci

Agriculture, fundamental for human sustenance, faces unprecedented challenges. The need for efficient, human-cooperative, and sustainable farming methods has never been greater. Th…

cs.RO2023

Advancements in Radar Odometry

Matteo Frosi, Mirko Usuelli, Matteo Matteucci

Radar odometry estimation has emerged as a critical technique in the field of autonomous navigation, providing robust and reliable motion estimation under various environmental con…

cs.RO2023

RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline

Mirko Usuelli, Matteo Frosi, Paolo Cudrano +2

Loop Closure Detection (LCD) is an essential task in robotics and computer vision, serving as a fundamental component for various applications across diverse domains. These applica…