TY - GEN
T1 - Interactive data exploration of large scale urban scenarios using mobile devices
AU - Varduhn, V.
AU - Mundani, R. P.
AU - RANK, E.
N1 - KAUST Repository Item: Exported on 2022-06-29
Acknowledged KAUST grant number(s): UK-c0020
Acknowledgements: This publication is based on work supported by Award No. UK-c0020, made by KAUST. Furthermore, this is supported by IGSSE of Technische Universitat Munchen.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2012/1/1
Y1 - 2012/1/1
N2 - In this work, we present an approach how mobile devices such as iPhone and iPad can leverage the interactive handling of constructions and built infrastructure. Today, large sets of digital product model information are available and the amount is still growing rapidly. In order to benefit from the entirety of this information w. r. t. insight, focussing on single entities separately is not sufficient. Our approach is capable of storing, handling, and delivering access to vast amounts of constructions and built infrastructure while user interaction can still happen in real time. As a sample application, a real time visualisation with interaction using mobile devices for navigation, construction assembly, and product model modification is presented.
AB - In this work, we present an approach how mobile devices such as iPhone and iPad can leverage the interactive handling of constructions and built infrastructure. Today, large sets of digital product model information are available and the amount is still growing rapidly. In order to benefit from the entirety of this information w. r. t. insight, focussing on single entities separately is not sufficient. Our approach is capable of storing, handling, and delivering access to vast amounts of constructions and built infrastructure while user interaction can still happen in real time. As a sample application, a real time visualisation with interaction using mobile devices for navigation, construction assembly, and product model modification is presented.
UR - http://hdl.handle.net/10754/679426
UR - http://www.scopus.com/inward/record.url?scp=84914163230&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9783000384554
BT - 19th International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2012
PB - Universiteit [email protected]
ER -