Authors: Jochen Wendel*, European Institute for Energy Research, José Miguel Santana, Centro de Tecnologías de la Imagen (CTIM), Universidad de Las Palmas de Gran Canaria, Spain, Sebastián Ortega Trujillo, Centro de Tecnologías de la Imagen (CTIM), Universidad de Las Palmas de Gran Canaria, Spain, Agustín Trujillo, Centro de Tecnologías de la Imagen (CTIM), Universidad de Las Palmas de Gran Canaria, Spain, Syed Monjur Murshed, European Institute for Energy Research (EIFER), Karlsruhe, Germany, Alexander Simons, European Institute for Energy Research (EIFER), Karlsruhe, Germany
Topics: Geographic Information Science and Systems, Cartography, Urban Geography
Keywords: Visualization, Augmented Reality, Virtual Reality, GIS, Urban Data
Session Type: Paper
Start / End Time: 1:10 PM / 2:50 PM
Room: Stones Throw 1 - Granite, Marriott, Lobby Level
Presentation File: No File Uploaded
This research focuses on a holistic approach to the visualization of geographically referenced data. The ideas implemented on this project result in a seamless transition from traditional 3D virtual map visualization to Virtual Reality (VR) and Augmented Reality (AR) modes. The main objective of this work is the integration of several diverse urban data sets derived from sensors, models and simulations in a multiplatform mobile application. All data sets are thereby aggregated at flexible scales ranging from point level data to building surfaces and whole neighborhoods and are stored as a semantic 3D city model in the CityGML format. A distributed architecture has been designed to allow the generation of visually rich urban models which are accessible online. Those models are then visualized through an interactive “app”, available for multiple operating systems (OS). Besides the visualization of data and objects above surface, this research further includes novel visualization methodologies for displaying information from underground structures such as water and electricity networks. The focus of this research lies on the visualization and interaction of underground infrastructure objects onsite through AR and VR modes. To that end, multiple visualization techniques have been applied and evaluated such as adaptive visibility and transparency, virtual hole creation, and scale dependent coloring of objects. This research further explores the enhanced visualization possibilities of urban GIS data through recent native API developments such as ARKit (Apple) and ARCore (Android).