activity
20212024
most citedEvaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

185 citations · 213 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2024

BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters

Sandro Costa Magalhães, António Paulo Moreira, Filipe Neves dos Santos +1

RGB-D sensors face multiple challenges operating under open-field environments because of their sensitivity to external perturbations such as radiation or rain. Multiple works are…

cs.RO2023

MonoVisual3DFilter: 3D tomatoes' localisation with monocular cameras using histogram filters

Sandro Costa Magalhães, Filipe Neves dos Santos, António Paulo Moreira +1

Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects' spatial position. RGB-D cameras are limited under open-field environments…

cs.CV2022★ 28 cited

Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models

Sandro Costa Magalhães, Filipe Neves Santos, Pedro Machado +2

Purpose: Visual perception enables robots to perceive the environment. Visual data is processed using computer vision algorithms that are usually time-expensive and require powerfu…

cs.CV2021★ 185 cited

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Sandro A. Magalhães, Luís Castro, Germano Moreira +4

The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harve…