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

클라우드 환경에서 이기종 네비게이션간의 새로운 도로 정보 업데이트를 위한 XML 메타 데이터 생성

  • 이승관 (경희대학교 후마니타스칼리지) ;
  • 최진혁 (경희대학교 후마니타스칼리지)
  • Received : 2011.02.18
  • Accepted : 2011.03.10
  • Published : 2011.04.28

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.

지도 DB 업데이트 방법은 카 네비게이션을 사용하는 운전자 입장에서는 매우 중요한 요소이다. 본 연구는 클라우드 컴퓨팅 환경을 이용해 이기종 네비게이션 시스템을 사용하는 운전자들이 새로운 도로(Unknown Roads) 주행시 추출된 도로 속성 정보를 클라우드에서 분석해 이기종 네비게이션간 서비스가 가능한 XML 포맷의 Metadata를 생성한 다음, 이것을 모든 지도 정보 제공자(Provider)에게 제공하면 해당 Map DB 제공자는 클라우드로 부터 제공 받은 도로의 속성 정보 metadata를 자신의 네비게이션 시스템을 사용하는 모든 운전자의 Map DB를 실시간으로 업데이트하는 방법을 제안한다. 이 방법은 Map DB Provider들이 수행하는 실차 주행 테스트 비용을 줄이고 서버 자원 통합 구축을 통한 Map DB 데이터센터의 유지 비용을 줄일 수 있다. 결국 제안된 방법은 새로운 도로 정보를 모든 운전자들의 Map DB에 더욱 효율적으로 업데이트할 수 있다.

Keywords

References

  1. S. G. Lee, D. H. Lee, and S.W. Lee, "Network-Oriented Road Map Generation for Unknown Roads using Visual Images and GPS-based Location Information," IEEE.Trans.Consum.Electron., Vol.55, No.3, pp.1233-1240, 2009. https://doi.org/10.1109/TCE.2009.5277982
  2. http://en.wikipedia.org/wiki/Cloud_ Computing
  3. Gartner, "a style of computing where massively scalable IT - enabled capabilities are delivered 'as a service' to external customers using internet technologies," 2007.
  4. G. Tao, K. Iwamura, and M. Koga, "Towards high accuracy road maps generation from massive GPS Traces data," Proc. IGARSS 2007, pp.667-670, 2007.
  5. K. W. Min, K. H. An, J. W. Kim, and S. I. Jin, "The Mobile Spatial DBMS for the Partial Map Air Update in the Navigation," Proc. ITSC 2008, pp.476-481, 2008.
  6. MCP-MAUS Service Protocols for Map Air Update(TTAS.KO-06.0129).
  7. MAUS-Terminal Service Protocols for Map Air Update(TTAS.KO-06.0130).
  8. A. Asahara, M. Tanizaki, M. Morioka, and S. Shimada, "Locally Differential Map Update Method with Maintained Road Connections for Telematics Services," Proc. MDMW 2008, pp.11-18, 2008.
  9. http://www.ennavi.co.kr/info/hub.jsp
  10. http://www.toyota.co.jp
  11. http://www.premium-club.jp
  12. K. W. Min, K. H. An, J. W. Kim, and S. I. Jin, "The Development and Performance Evaluation of the Mobile Spatial DBMS for the Partial Map Air Update in the Navigation," The KIPS Transactions, Vol. 15D, No.5, pp.609-620, 2008. https://doi.org/10.3745/KIPSTD.2008.15-D.5.609
  13. http://www.ertico.com/en/activities/actimap. htm.
  14. A. Routray, and K.B. Monhanty, "A fast edge detection algorithm for road boundary extraction under nonuniform light condition," Proc. 10th Int. Conf. Information Technology, pp.38-40, 2007.
  15. J. Lu, M. Yang, H. Wang, and B. Zhang, "Vision-based real-time road detection in urban traffic," Proc. SPIE 2002, Vol.4666, pp.75-82, 2002. https://doi.org/10.1117/12.458518
  16. J. F. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell, Vol. PAMI-8, No.6, pp.679-698, 1986. https://doi.org/10.1109/TPAMI.1986.4767851
  17. M. A. Nasirudin, and M. R. Arshad, "A feature-based lane detection system using Hough transform method," Proc.ISITS 2007, pp.166-169, 2007.
  18. M. S. Hossain, M. M. Hasan, M. A. Ali, M. H. Kabir, and A. B. M. S. Ali, "Automatic detection and recognition of traffic signs," Proc.RAM2010, pp.286-291, 2010.
  19. A. Martinovic, G. Glavas, M. Juribasic, D. Sutic, and Z. Kalafatic, "Real-time detection and recognition of traffic signs," Proc.MIPRO2010, pp.760-765, 2010.
  20. M. Y. Fu, and Y. S. Huang, "A survey of traffic sign recognition," Proc.ICWAPR2010, pp.119-124, 2010.