Grupo de Visualización Avanzada e Cartografía en Enxeñaría Civil, Arquitectura e Urbanismo (videaLAB/cartoLAB)
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Automatic Generation of Urban Road 3D Models for Pedestrian Studies From LiDAR Data
(MDPI, 2022)[Abstract] The point clouds acquired with a mobile LiDAR scanner (MLS) have high density and accuracy, which allows one to identify different elements of the road in them, as can be found in many scientific references, ... -
Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access
(MDPI, 2021)[Abstract] Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing ... -
An Augmented Reality Facility to Run Hybrid Physical-Numerical Flood Models
(MDPI, 2020)[Abstract] This article presents a novel installation for the development of hybrid physical-numerical flood models in an augmented reality environment. This installation extends the concept introduced by the well-known ... -
GIS mapping of driving behavior based on naturalistic driving data
(MDPI, 2019)[Abstract:] Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider ... -
La percepción del espacio en la visualización de arquitectura mediante realidad virtual inmersiva
(Universidad Politécnica de Valencia, 2011)[Resumen] La realidad virtual inmersiva constituye una herramienta poderosa para la exploración vívida del espacio virtual. La sensación de presencia que provoca en el usuario la capacidad de observar el entorno ...
