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CeDInt-UPM

Keywords

Realidad Virtual, Visualización de Datos

Countries

Spain

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Employment (1)

Centro de Domótica Integral (CeDInt-UPM): Pozuelo de Alarcón, Madrid, ES

2006-02-01 to present | Investigador (RV)
Employment
Source: Self-asserted source
Francisco Pedro Luque Oostrom

Works (7)

Improving safe pedestrian behavior through virtual reality: an empirical study

Bordón. Revista de Pedagogía
2024-09-30 | Journal article
DOI: 10.13042/Bordon.2024.100116
Contributors: Alicia López-Álvarez; Luca Piovano; Francisco Luque; Carlos De Aldama
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Vehicle-to-Cyclist Collision Prediction Models by Applying Machine Learning Techniques to Virtual Reality Bicycle Simulator Data

Applied Sciences
2024-04-24 | Journal article
DOI: 10.3390/app14093570
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano; Nuria Sánchez; Miguel Hidalgo
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Understanding Pedestrian Cognition Workload in Traffic Environments Using Virtual Reality and Electroencephalography

Electronics
2024-04-11 | Journal article
DOI: 10.3390/electronics13081453
Contributors: Francisco Luque; Víctor Armada; Luca Piovano; Rosa Jurado-Barba; Asunción Santamaría
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Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability

Applied Sciences
2024-03-25 | Journal article
DOI: 10.3390/app14072747
Contributors: Guillermo del Campo; Edgar Saavedra; Luca Piovano; Francisco Luque; Asuncion Santamaria
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Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Simulated Vehicle-to-Pedestrian Collisions

Vehicles
2023-11-02 | Journal article
DOI: 10.3390/vehicles5040084
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano
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Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Real World Vehicle-to-pedestrian collisions

2022-11-25 | Preprint
DOI: 10.20944/preprints202211.0476.v1
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano
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Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios

Applied Sciences
2022-11-09 | Journal article
DOI: 10.3390/app122211364
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano
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