Valentín Barral

According to our database, Valentín Barral authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An IoT System for Smart Building Combining Multiple mmWave FMCW Radars Applied to People Counting.

Valentín Barral Vales, Tomás Domínguez-Bolaño, Carlos J. Escudero, José Antonio García-Naya

IEEE Internet Things J., November, 2024

An IoT system for a smart campus: Challenges and solutions illustrated over several real-world use cases.

Tomás Domínguez-Bolaño, Valentín Barral, Carlos J. Escudero, José Antonio García-Naya

Internet Things, April, 2024

2023

Multicamera edge-computing system for persons indoor location and tracking.

Ángel Carro-Lagoa, Valentín Barral, Miguel González-López, Carlos J. Escudero, Luis Castedo

Internet Things, December, 2023

2022

Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems.

Valentín Barral, Carlos J. Escudero, José Antonio García-Naya, Pedro Suárez-Casal

Dataset, May, 2022

Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32.

Valentín Barral Vales, Omar Campos Fernández, Tomás Domínguez-Bolaño, Carlos J. Escudero, José Antonio García-Naya

IEEE Internet Things J., 2022

An overview of IoT architectures, technologies, and existing open-source projects.

Tomás Domínguez-Bolaño, Omar Campos Fernández, Valentín Barral, Carlos J. Escudero, José Antonio García-Naya

Internet Things, 2022

2021

ESP32S2 FTM Measurements.

Valentín Barral

Dataset, July, 2021

2020

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset.

Valentín Barral, Pedro Suárez-Casal, Carlos J. Escudero, José Antonio García-Naya

Dataset, February, 2020

NLOS Identification and Mitigation Using Low-Cost UWB Devices.

Valentín Barral, Carlos J. Escudero, José Antonio García-Naya

Dataset, February, 2020

Pozyx CIR and range with LOS and NLOS.

Valentín Barral

Dataset, February, 2020

Using the Power Delay Profile to Accelerate the Training of Neural Network-Based Classifiers for the Identification of LOS and NLOS UWB Propagation Conditions.

Valentín Barral, Tomás Domínguez-Bolaño, Carlos J. Escudero, José Antonio García-Naya

IEEE Access, 2020

2019

Environmental Cross-Validation of NLOS Machine Learning Classification/Mitigation with Low-Cost UWB Positioning Systems.

Valentín Barral, Carlos J. Escudero, José Antonio García-Naya, Pedro Suárez-Casal

Sensors, 2019

NLOS Identification and Mitigation Using Low-Cost UWB Devices.

Valentín Barral, Carlos J. Escudero, José Antonio García-Naya, Roberto Maneiro-Catoira

Sensors, 2019

Impact of NLOS identification on UWB-based localization systems.

Valentín Barral, Carlos J. Escudero, Pedro Suárez-Casal, José Antonio García-Naya

Proceedings of the Short Paper Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2019) co-located with the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019), Pisa, Italy, September 30th, 2019

NLOS Classification Based on RSS and Ranging Statistics Obtained from Low-Cost UWB Devices.

Valentín Barral, Carlos J. Escudero, José Antonio García-Naya

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Forklift Positioning System for Pallet Tracking in Industrial Environments.

Valentín Barral Vales, Pedro Suárez-Casal, Carlos J. Escudero, José Antonio García-Naya

Dataset, November, 2018

Forklift Positioning System for Pallet Tracking in Industrial Environments.

Valentín Barral Vales, Pedro Suárez-Casal, Carlos J. Escudero, José Antonio García-Naya

Dataset, September, 2018

2013

Architecture for Multi-Technology Real-Time Location Systems.

Javier Rodas, Valentín Barral, Carlos J. Escudero

Sensors, 2013