The main goal of this project is to perform 3D reconstruction and 3D subdivision of indoor space to provide an input for an indoor disaster response system.
The general scope of this research and developments cover the aspects of identifying the level of semantic information of spatial data required to obtain a suitable input for the indoor disaster response system, structuring of the indoor information through UML-based architecture and space subdivision according to FSS framework. Through the project, various formats of spatial data such as BIM, mesh and points cloud would be considered. The FSS framework is in line with IndoorGML standard, providing input data for it. Thus, the indoor disaster response system will always consider consistent data architecture for testing different navigation scenarios. The 3D subdivision process will organise indoor spaces according to their purpose and attributes. In which case, investigations will focus on the type of objects and their functional spaces on one hand, and the types of users and their characteristics. Rule-based navigation targeting several groups of users will be considered such as firefighters, injured people, impaired people and so on.
Development of a framework and algorithms to support free space identification based on the identified spatial data formats
|Prof. Sisi Zlatanova||UNSW, Built Environment, GRID||Project coordinator|
|Prof. Ki-Joune Li||Pusan National University||Project coordinator|
|Prof. Chulmin Jun||The University of Seoul||IndoorGML integration|
|Dr Abdoulaye Diakite||UNSW, Built Environment, GRID||3D space subdivision|
|Mitko Aleksandrov||UNSW, Built Environment, GRID||3D space subdivision|
Mitko Aleksandrov (Send email)
Abdoulaye A. Diakite (Send email)