ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 151-156, 2012
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-4/151/2012/
doi:10.5194/isprsannals-I-4-151-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
ONLINE MAPS AND CLOUD-SUPPORTED LOCATION-BASED SERVICES ACROSS A MANIFOLD OF DEVICES
M. Kröpfl1, D. Buchmüller1, and F. Leberl2 1Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052 USA
2Graz University of Technology, Institute for Computer Graphics and Vision, A-8010 Graz Austria
Keywords: Internet/Web, Mapping, Mobile, GPS/INS, LBS, Web Services, GIS, Databases, Georeferencing, Imagery, Aerial, Cloud Computing, Matching Abstract. Online mapping, miniaturization of computing devices, the "cloud", Global Navigation Satellite System (GNSS) and cell tower triangulation all coalesce into an entirely novel infrastructure for numerous innovative map applications. This impacts the planning of human activities, navigating and tracking these activities as they occur, and finally documenting their outcome for either a single user or a network of connected users in a larger context.

In this paper, we provide an example of a simple geospatial application making use of this model, which we will use to explain the basic steps necessary to deploy an application involving a web service hosting geospatial information and a client software consuming the web service through an API.

The application allows an insurance claim specialist to add claims to a cloud-based database including a claim location. A field agent then uses a smartphone application to query the database by proximity, and heads out to capture photographs as supporting documentation for the claim. Once the photos have been uploaded to the web service, a second web service for image matching is called in order to try and match the current photograph to previously submitted assets.

Image matching is used as a pre-verification step to determine whether the coverage of the respective object is sufficient for the claim specialist to process the claim.

The development of the application was based on Microsoft's® Bing Maps, Windows Phone, Silverlight, Windows Azure and Visual Studio, and was completed in approximately 30 labour hours split among two developers.

Conference paper (PDF, 1079 KB)


Citation: Kröpfl, M., Buchmüller, D., and Leberl, F.: ONLINE MAPS AND CLOUD-SUPPORTED LOCATION-BASED SERVICES ACROSS A MANIFOLD OF DEVICES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 151-156, doi:10.5194/isprsannals-I-4-151-2012, 2012.

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