Obiettivo Geographic data about urban objects (buildings, roads) is needed to monitor and control processes within modern urban areas (noise, flooding, energy demand-supply). As these processes occur in 3D, urban applications require 3D data and each application requires its own specific semantic and geometric Level of Detail (LoD) of the 3D data.The scientific challenge of this project is that it requires enormous efforts to collect and transform 3D data to make it suitable for a specific application. Urban applications are therefore forced to work mainly in 2D. This reduction causes the loss of important information. A solution is needed to support the reuse of once collected 3D data in multiple applications.I will develop a fundamental solution for providing 3D data at application specific LoDs to solve the current problem of independently acquired and stored LoDs of a 3D urban model. To enforce consistency across dimensions, the LoDs will be modelled as an extra dimension to the 3D spatial dimensions in an integrated 3D+LoD (4D) model. I will use an innovative method that goes far beyond the state-of-the-art by introducing higher dimensional (nD) mathematical models to the well-established domain of cartographic generalisation in 2D. Furthermore, I will study 3D generalisation solutions to derive coarse from fine data and embed these in the 4D model. “Slicing” operations will be developed that reduce the dimensions of the 4D data to generate error-free 3D data at application specific LoDs.LoD is strongly related to map scale, a well-known concept in GIS. However, modelling it as an extra dimension of geographic data is new. In addition, the intermediate results have the potential to advance the field of geo-information technology, such as the ground-breaking extension of the 2D cartographic generalisation domain to 3D. If successful, the 4D approach opens a new horizon for modelling parametrisable aspects of urban environments, which may establish a new research line. Campo scientifico natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systemsnatural sciencesmathematicsapplied mathematicsmathematical model Parole chiave UMnD Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-StG-2015 - ERC Starting Grant Invito a presentare proposte ERC-2015-STG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-STG - Starting Grant Istituzione ospitante TECHNISCHE UNIVERSITEIT DELFT Contribution nette de l'UE € 1 498 148,00 Indirizzo STEVINWEG 1 2628 CN Delft Paesi Bassi Mostra sulla mappa Regione West-Nederland Zuid-Holland Delft en Westland Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 498 148,00 Beneficiari (1) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto TECHNISCHE UNIVERSITEIT DELFT Paesi Bassi Contribution nette de l'UE € 1 498 148,00 Indirizzo STEVINWEG 1 2628 CN Delft Mostra sulla mappa Regione West-Nederland Zuid-Holland Delft en Westland Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 498 148,00
