Purpose of this Standards Working Group
The purpose of this IndoorGML Standard Working Group is to develop an application schema of OGC GML and progress the document to the state of an adopted OGC standard. The goal of this candidate standard is to establish a common schema framework for indoor navigation applications. This SWG will start from the discussion paper (OGC 10-191r1, Requirements and Space-Event Modeling for Indoor Navigation), which summarizes the requirements and basic idea of a standard for indoor navigation.
Business Value Proposition
This SWG aims to provide a common schema framework for interoperability between indoor navigation applications, which cover a wide spectrum of application areas such as indoor LBS, indoor web map services, indoor emergency control, guiding services for visually handicapped persons in indoor space, and indoor robotics. Several commercial services for indoor spatial information have been recently launched such as Google Maps and Bing Indoor Maps. In order to meet the market demands from these application areas, we need indoor navigation information as an essential component. There are also strong demands of indoor navigation information from other standardization organizations including ISO/TC204 and IEEE RAS to extend existing standards to cover indoor space as well as outdoor space in a seamless way.
However, developing indoor navigation information is difficult and expensive due to the complexity of indoor space. The IndoorGML candidate standard will provide a framework of interoperability between systems and services for sharing indoor navigation information.
Scope of Work
The scope of work for this SWG is to develop a candidate standard of a GML 3.2 application schema for indoor navigation and progress it to the state of an adopted standard by using OGC RFC process as follows;
- development a candidate of OGC standard for indoor navigation: this candidate standard, called tentatively IndoorGML will provide a GML application schema for exchanging information related to indoor navigation,
- gathering comments from SWG member on the draft of candidate standard and reflecting them to the candidate standard,
- submitting the candidate standard to OAB for review and subsequent release for the 30-day public comment,
- resolving the comments from OGC members, and
- submitting the final version of candidate standard to the OGC TC for voting.
The aim of IndoorGML is to represent and exchange the geoinformation that is required to build and operate indoor navigation systems. IndoorGML will provide the essential model and data for important applications like building evacuation, disaster management, personal indoor navigation, indoor robot navigation, indoor spatial awareness, indoor location based services, and the support for tracking of people and goods. IndoorGML provides a framework for the flexible integration of different localization technologies and allows the ad-hoc selection of the appropriate navigation data according to the capabilities of the mobile device and the offered localization technologies of a building.
Indoor navigation comprises route planning, localization, and tracking of subjects (i.e. people) and objects (e.g. robots or other indoor vehicles). IndoorGML will support these activities in different modes of locomotion, i.e. walking, driving, and flying as well as navigation in virtual environments. Since there is no unique localization technology like GPS available indoors, many different types of indoor positioning techniques are used today, often in combination with each other. This makes it necessary to provide geospatial data about the different senders, receivers, and sensors and their respective signal ranges.
Existing standards for the representation of 3D building models like IFC or CityGML do not address these aspects. From the perspective of IndoorGML they can be considered as important data sources for the interior topography of buildings (and other structures like tunnels). IndoorGML, which will be also an application schema of GML, will be thus a complementary standard to CityGML and IFC to support location based services for indoor space, particularly indoor navigation. This candidate standard will mainly consist of two components; first an indoor spatial data model given by a multi-layer space model to describe different contexts of indoor space, and the representation of indoor symbolic space and topological properties, building upon the former component.
The requirements and use-cases for this candidate standard are given in detail in the OGC discussion paper (OGC 10-191r1).
4.2 Specific Contribution of Existing Work as a Starting Point
The work of this SWG will start from a discussion paper; OGC 10-191r1, Requirements and Space-Event Modeling for Indoor Navigation.
4.3 Determination of SWG Completion
The IndoorGML SWG will dissolve after the following three milestones have been achieved:
- The SWG has completed evaluation and incorporation into the candidate standard of all comments received during the public comment period.
- Approval by the SWG membership of a recommendation to submit the document to the TC for consideration as an OGC Adopted Standard.
- The candidate standard has been approved by the OGC Technical and Planning Committees as an Adopted OGC standard.
The tentative schedule of the activities for this SWG is;
- SWG kickoff meeting: by Mar. 2012
- IndoorGML v 0.1: by June 2012
- SWG internal review of the document and preparation of an updated version v0.2 : by Aug. 2012
- Revision for version v 0.3: by Sept. 2012
- SWG voting for submission to OGC OAB/NA and 30 days public comment period: March 2013
- Public comment period: from April 1 2013 to May 1, 2013
- Reflection of public comments and revision: by August 2013
- SWG internal voting for formal submission to OGC TC: September 2013
- In case of approval for the formal submission to OGC TC, the final candidate standard will be sent to OGC TC for voting: by September 2013
Chair and vice-chairs
Ki-Joune Li (Pusan National Univ. South Korea)
Jiyeong Lee (University of Seoul, South Korea)
Sisi Zlatanova (TU Delft, the Netherlands)
Jeremy Morley (University of Nottingham, UK