activity
20222025
most citedBenchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models

28 citations · 28 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Red grape detection with accelerated artificial neural networks in the FPGA's programmable logic

Sandro Costa Magalhães, Marco Almeida, Filipe Neves dos Santos +2

Robots usually slow down for canning to detect objects while moving. Additionally, the robot's camera is configured with a low framerate to track the velocity of the detection algo…

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…