Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

Research on the Methods of Automatic-generation of 3D Virtual City

Authors
Zhaohui Wang
Corresponding Author
Zhaohui Wang
Available Online January 2016.
DOI
10.2991/icsmim-15.2016.171How to use a DOI?
Keywords
Virtual city, automatic-generation, urban cellular automata.
Abstract

This paper makes research on the methods of automatic-generation of 3D virtual city from the view of urban cellular automata model. The evolution process of the urban land units can be simulated by constructing urban cellular automata model, and then the results of evolution will determine the space location and corresponding building types of land units. Our research makes use of MultiGen Creator to build 3D scenes, and scene management technology of OpenGVS to generate buildings at random, then these buildings will be set on corresponding locations of 3D scene so as to generate 3D virtual cities. We develop 3D virtual city automatic-generation system and also discuss the application potential and value of it in the field of municipal administration, urban planning, urban research, etc.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
10.2991/icsmim-15.2016.171How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhaohui Wang
PY  - 2016/01
DA  - 2016/01
TI  - Research on the Methods of Automatic-generation of 3D Virtual City
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 930
EP  - 937
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.171
DO  - 10.2991/icsmim-15.2016.171
ID  - Wang2016/01
ER  -