Integrating multimedia documents and time‐evolving 3D city models for web visualization and navigation

2021 ◽  
Author(s):  
Vincent Jaillot ◽  
Valentin Rigolle ◽  
Sylvie Servigne ◽  
John Samuel ◽  
Gilles Gesquière
Keyword(s):  
Multimedia Documents ◽  
3D City Models ◽  
Web Visualization ◽  
City Models

scholarly journals Delivering time-evolving 3D city models for web visualization

2020 ◽  
Vol 34 (10) ◽  
pp. 2030-2052 ◽  
Author(s):  
Vincent Jaillot ◽  
Sylvie Servigne ◽  
Gilles Gesquière
Keyword(s):  
3D City Models ◽  
Web Visualization ◽  
City Models

scholarly journals Assessment of the photovoltaic potential at urban level based on 3D city models: A case study and new methodological approach

Solar Energy ◽  
2017 ◽  
Vol 146 ◽  
pp. 264-275 ◽  
Author(s):  
Laura Romero Rodríguez ◽  
Eric Duminil ◽  
José Sánchez Ramos ◽  
Ursula Eicker
Keyword(s):  
Methodological Approach ◽  
3D City Models ◽  
Urban Level ◽  
City Models

scholarly journals 3D city models for urban farming site identification in buildings

2021 ◽  
Vol 86 ◽  
pp. 101584
Author(s):  
Ankit Palliwal ◽  
Shuang Song ◽  
Hugh Tiang Wah Tan ◽  
Filip Biljecki
Keyword(s):  
Urban Farming ◽  
3D City Models ◽  
Site Identification ◽  
City Models

How Many 3D City Models Are There? – A Typological Try

2011 ◽  
Vol 48 (2) ◽  
pp. 124-130 ◽  
Author(s):  
Mathias Jahnke ◽  
Jukka Matthias Krisp ◽  
Holger Kumke
Keyword(s):  
3D City Models ◽  
City Models

scholarly journals METHOD FOR THE 3D-CITY MODELS USING GOOGLE EARTH AND SKETCH UP

2016 ◽  
Vol 22 (50) ◽  
pp. 369-372
Author(s):  
Yoshitami NONOMURA ◽  
Wataru SHIBAYAMA
Keyword(s):  
Google Earth ◽  
3D City Models ◽  
City Models

scholarly journals EXPLORING THE IMPACT OF VISUAL COMPLEXITY LEVELS IN 3D CITY MODELS ON THE ACCURACY OF INDIVIDUALS’ ORIENTATION AND COGNITIVE MAPS

2015 ◽  
Vol II-3/W5 ◽  
pp. 499-506 ◽  
Author(s):  
V. Rautenbach ◽  
A. Çöltekin ◽  
S. Coetzee
Keyword(s):  
Negative Impact ◽  
Visual Complexity ◽  
Cognitive Maps ◽  
Answer Sheet ◽  
Development Planning ◽  
Mental Maps ◽  
3D City Models ◽  
Levels Of Detail ◽  
The Impact ◽  
City Models

In this paper we report results from a qualitative user experiment (n=107) designed to contribute to understanding the impact of various levels of complexity (mainly based on levels of detail, i.e., LoD) in 3D city models, specifically on the participants’ orientation and cognitive (mental) maps. The experiment consisted of a number of tasks motivated by spatial cognition theory where participants (among other things) were given orientation tasks, and in one case also produced sketches of a path they ‘travelled’ in a virtual environment. The experiments were conducted in groups, where individuals provided responses on an answer sheet. The preliminary results based on descriptive statistics and qualitative sketch analyses suggest that very little information (i.e., a low LoD model of a smaller area) might have a negative impact on the accuracy of cognitive maps constructed based on a virtual experience. Building an accurate cognitive map is an inherently desired effect of the visualizations in planning tasks, thus the findings are important for understanding how to develop better-suited 3D visualizations such as 3D city models. In this study, we specifically discuss the suitability of different levels of visual complexity for development planning (urban planning), one of the domains where 3D city models are most relevant.

scholarly journals MODELLING CHANGES, STAKEHOLDERS AND THEIR RELATIONS IN SEMANTIC 3D CITY MODELS

2021 ◽  
Vol VIII-4/W2-2021 ◽  
pp. 137-144
Author(s):  
S. H. Nguyen ◽  
T. H. Kolbe
Keyword(s):  
Change Detection ◽  
Smart Cities ◽  
Deep Understanding ◽  
Structural Level ◽  
Mathematical Methods ◽  
Conceptual Approach ◽  
3D City Models ◽  
Digital Twins ◽  
Virtual City ◽  
City Models

Abstract. Urban digital twins have been increasingly adopted by cities worldwide. Digital twins, especially semantic 3D city models as key components, have quickly become a crucial platform for urban monitoring, planning, analyses and visualization. However, as the massive influx of data collected from cities accumulates quickly over time, one major problem arises as how to handle different temporal versions of a virtual city model. Many current city modelling deployments lack the capability for automatic and efficient change detection and often replace older city models completely with newer ones. Another crucial task is then to make sense of the detected changes to provide a deep understanding of the progresses made in the cities. Therefore, this research aims to provide a conceptual framework to better assist change detection and interpretation in virtual city models. Firstly, a detailed hierarchical model of all potential changes in semantic 3D city models is proposed. This includes appearance, semantic, geometric, topological, structural, Level of Detail (LoD), auxiliary and scoped changes. In addition, a conceptual approach to modelling most relevant stakeholders in smart cities is presented. Then, a model - reality graph is used to represent both the different groups of stakeholders and types of changes based on their relative interest and relevance. Finally, the study introduces two mathematical methods to represent the relevance relations between stakeholders and changes, namely the relevance graph and the relevance matrix.

Sign in / Sign up

Export Citation Format

Share Document