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 2 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.CV202228 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.CV2021185 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…