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Algoritmi | User | Ivo Miguel Menezes Silva

Ivo Miguel Menezes Silva

Ivo Miguel Menezes Silva

At Algoritmi

Research Collaborator with MSc

Member of the CCPM R&D Group

Member of the UCL R&D Lab

Academic Degree

MSc

Current Position

Invited Teaching Assistant at Escola de Engenharia da Universidade do Minho

Personal Webpage

Personal Email

ivo@dsi.uminho.pt

Orcid

0000-0002-5423-0624

Researcher ID

AAJ-2162-2021

FCT Public Key

J699105Zg9E1

Ciência ID

9D1C-44E3-F20A

Google Scholar

ObnFFfAAAAAJ

About Me



Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

2021 | conference-paper

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

IEEE Sensors Journal

2021 | journal-article

TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2021 | journal-article

Floor Plan-free Particle Filter for Indoor Positioning of Industrial Vehicles

ICL-GNSS 2020 Int. Conf. Localization GNSS

2020 | conference-paper

The IPIN 2019 Indoor Localisation Competition—Description and Results

IEEE Access

2020 | journal-article

Exploiting Different Combinations of Complementary Sensor’s data for Fingerprint-based Indoor Positioning in Industrial Environments

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

2019 | conference-paper

Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning

2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017

2017 | conference-paper

Construção de mapas de rádio para sistemas de posicionamento WiFi

2016 | dissertation-thesis

Ivo Silva received the M.Sc. degree in telecommunications and informatics engineering from the University of Minho, Guimaraes, Portugal, in 2016, where he is currently pursuing a Ph.D. degree in telecommunications focused on indoor positioning of industrial vehicles based on Wi-Fi.

He is a Researcher with the Algoritmi Research Centre and an Invited Teaching Assistant with the University of Minho. His research interests are in indoor positioning and navigation, mobile computing, and smart devices.

Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

2021 | conference-paper

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

IEEE Sensors Journal

2021 | journal-article

TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2021 | journal-article

Floor Plan-free Particle Filter for Indoor Positioning of Industrial Vehicles

ICL-GNSS 2020 Int. Conf. Localization GNSS

2020 | conference-paper

The IPIN 2019 Indoor Localisation Competition—Description and Results

IEEE Access

2020 | journal-article

Exploiting Different Combinations of Complementary Sensor’s data for Fingerprint-based Indoor Positioning in Industrial Environments

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

2019 | conference-paper

Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning

2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017

2017 | conference-paper

Construção de mapas de rádio para sistemas de posicionamento WiFi

2016 | dissertation-thesis

Ivo Silva received the M.Sc. degree in telecommunications and informatics engineering from the University of Minho, Guimaraes, Portugal, in 2016, where he is currently pursuing a Ph.D. degree in telecommunications focused on indoor positioning of industrial vehicles based on Wi-Fi.

He is a Researcher with the Algoritmi Research Centre and an Invited Teaching Assistant with the University of Minho. His research interests are in indoor positioning and navigation, mobile computing, and smart devices.