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http://dx.doi.org/10.5392/JKCA.2011.11.4.083

Cloud-Oriented XML Metadata Generation between Heterogeneous Navigation Systems for Unknown Roads  

Lee, Seung-Gwan (경희대학교 후마니타스칼리지)
Choi, Jin-Hyuk (경희대학교 후마니타스칼리지)
Publication Information
The Journal of the Korea Contents Association / v.11, no.4, 2011 , pp. 83-91 More about this Journal
Abstract
The roadmap DB update for unknown roads is a very important factor for car navigation systems. In this paper, we propose a cloud computing based roadmap generation method for use between heterogeneous navigation system for unknown roads. While the drivers drive on unknown roads, the proposed method extracts the road attribute information, and then generates the metadata in an XML format that is available for the heterogeneous navigation systems in a cloud environment. The metadata is proposed to be used as a replacement for conventional proprietary roadmap formats which used by roadmap providers, which is efficient for heterogeneous navigation system providers in a cloud computing environment. Then, this metadata is provided to the roadmap DB providers through the cloud computing interfaces. With the proposed method, the roadmap DB providers update the own roadmap DB for navigation systems in real time. Therefore, the proposed method can reduce the costs of an actual traveling test and the maintenance for the roadmap DB provides. Thus, the cloud-oriented road map generation method can more efficiently update the unknown road information.
Keywords
Car Navigation System; RoadMap Updating; Cloud Computing; XML;
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Times Cited By KSCI : 1  (Citation Analysis)
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