Project description

The main goal of this project is to perform 3D reconstruction and 3D subdivision of indoor space in order to provide an input for an indoor disaster response system.

Worlflow of the project

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 taken into account. 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 organize 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, etc.

 

Outcomes

Development of a framework and algorithms to support free space identification based on the identified spatial data formats

Project participants

Participant’s details Organisation Responsibility
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

Contact person

Mitko Aleksandrov (Send email)

Abdoulaye A. Diakite (Send email)