Presentation about OGC activities on location based services with an emphasis on indoor location and IndoorGML.
Agenda of talk:
- The power of location
- Mission of OGC
- OGC standards
- OpenLS - OGC Open Location Services
- New developments: IndoorGML and others
Power of locationMission of OGC OGC standardsOpen Location ServicesNew developments
Quicklydiscover sensors (secure or public) that can meet my needs – and learn about what they can do (location, observables, quality, ability to task)Obtain sensor information in a standard encoding that is understandable by the user and by softwareReadily access sensor observations in a common manner, and in a form specific to my needsTask sensors, when possible, to meet my specific needsRequest and receive alerts / notification when a sensor measures a particular phenomenon, or completes a requested taskInformation Models and SchemaSensor Model Language (SensorML) for In-situ and Remote Sensors - Core models and schema for observation processes: support for sensor components, georegistration, response models, post measurement processingObservations and Measurements (O&M) – Core models and schema for observationsTransducerML – adds system integration and real-time streaming clusters of observationsWeb ServicesSensor Observation Service - Access Observations for a sensor or sensor constellation, and optionally, the associated sensor and platform dataSensor Alert Service – Subscribe to alerts based upon sensor observationsSensor Planning Service – Request collection feasibility and task sensor system for desired observationsWeb Notification Service –Manage message dialogue between client and Web service(s) for long duration (asynchronous) processesSensor Registries – Discover sensors and sensor observations
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.