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Development of lane-level location data exchange framework based on high-precision digital map

정밀전자지도 기반의 차로 수준의 위치정보 교환 프레임워크 개발

  • Yang, Inchul (Integraed Road Management Research Center, Dept. of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Jeon, Woo Hoon (Integraed Road Management Research Center, Dept. of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology)
  • 양인철 (한국건설기술연구원 인프라안전연구본부 도로관리통합센터) ;
  • 전우훈 (한국건설기술연구원 인프라안전연구본부 도로관리통합센터)
  • Received : 2018.08.10
  • Accepted : 2018.08.28
  • Published : 2018.08.31

Abstract

It is necessary to develop a next generation location referencing method with higher accuracy as advanced technologies such as autonomous vehicles require higher accuracy of location data. Thus, we proposed a framework for a lane-level location referencing method (L-LRM) based on high-precision digital road network map, and developed a tool which is capable of analyzing and evaluating the proposed method. Firstly, the necessity and definition of location referencing method was presented, followed by the proposal of an L-LRM framework with a fundamental structure of high-precision digital road network map for the method. Secondly, an architecture of the analysis and evaluation tool was described and then the Windows application program was developed using C/C++ programming language. Finally, we demonstrated the performance of the proposed framework and the application program using two different high precision digital maps with randomly generated road event data.

최근 자율주행차와 같이 고정밀의 위치 정확도를 요구하는 기술이 개발됨에 따라 정확도가 높은 위치정보 교환 기술 또는 위치참조방법 개발의 필요성이 대두되고 있다. 이에 본 연구는 정밀전자지도를 이용하는 차로 수준의 위치참조방법 프레임워크를 제안하고, 새로운 위치참조방법을 구현, 분석 및 평가할 수 있는 툴(tool)의 설계 및 개발을 목적으로 한다. 이를 위해 위치참조방법의 필요성과 정의, 그리고 정확도 높은 위치 정보의 교환을 위한 정밀전자지도의 기본 구조를 제안하고, 이를 기반으로 차로 수준의 위치참조방법을 위한 프레임워크를 제시하였다. 프레임워크의 실제 구현 및 테스트, 분석을 위해 필요한 분석 평가 툴을 개발하기 위해 기본 아키텍처 설계 및 그에 따른 실제 C/C++ 기반의 윈도우 응용 프로그램 개발을 수행하였다. 마지막으로 분석 평가 툴을 이용해서 이종 정밀전자지도 간의 위치 정보를 교환하는 테스트를 통해 그 실효성을 검증하였다.

Keywords

Acknowledgement

Grant : 정밀전자지도 기반의 동적정보 시스템 (LDM) 개발

Supported by : 국토교통부

References

  1. Won, J.S, Choi, S.H. (2017), "The effects of AR(Augmented Reality) Contents on User's Learning; A Case Study of Car Manual Using Digital Contents," Journal of Digital Contents Society, Vol.18, No.1, pp.17-23. https://doi.org/10.9728/dcs.2017.18.1.17
  2. Lee, S.H. (2017) "Contruction Management System using Mobile Augmented Reality," Journal of Digital Contents Society, Vol.18, No.5, pp.977-982. https://doi.org/10.9728/DCS.2017.18.5.977
  3. Vonderohe, A., Chou, C. L., Sun, F., & Adams, T. (1997), "A generic data model for linear referencing systems," Research Results Digest 218, National Cooperative Highway Research Program. Transportation Research Board.
  4. Pandazis, J.-C. (1999), Final Report. Version 2.0, EVIDENCE Consortium, Brussels, Belgium, July 7.
  5. Duckeck, R., V. Hiestermann, H. Milton, M. Sena, and K. Wevers. (1998), "Rules for Defining and Referencing an Intersection Location (ILOC): Detailed Location Referencing (DLR) for ITS Based on ILOCs," Final Report (Version 1.0). European Road-Transport Telematics Implementation and Coordination Organisation Committee on Location Referencing, Brussels, Belgium, April 15.
  6. Koncz, N., & Adams, T. M. (2002), "A data model for multi-dimensional transportation location referencing systems," URISA journal, Vol. 14, No. 2, pp.27-41.
  7. Wevers, K., & Hendriks, T. (2006). "AGORA-C map-based location referencing," Transportation Research Record: Journal of the Transportation Research Board, Vol. 1972, pp.115-122. https://doi.org/10.1177/0361198106197200114
  8. Schneebauer, C., & Wartenberg, M. (2007), "On-the-fly location referencing methods for establishing traffic information services," IEEE Aerospace and Electronic Systems Magazine, vol. 22, no. 2, pp.14-21. https://doi.org/10.1109/MAES.2007.323294
  9. Hiestermann, V. (2008), "Map-independent location matching certified by the AGORA-C standard," Transportation Research Part C: Emerging Technologies, vol. 16, no. 3, pp.307-319. https://doi.org/10.1016/j.trc.2007.12.003
  10. ISO. (2015), Intelligent trasnport systems (ITS) - Location referencing for geographic databases - Part 1: General requirements and conceptural model, International Standard.
  11. Pfeiffer, H-W. (2010), "ISO 17572 Geo-Referencing Standard andAGORA-C Patent Pool," Robert Bosch Car Multimedia GmbH 2010.
  12. Yang, I., Jeon, W. H., Lee, H. M. (2017), "A Study on Dynamic Map Data Provision System for Automated Vehicle," Journal of Korea Institute of Intelligent Transport System, Vol. 16, No.6, pp.208-218. https://doi.org/10.12815/kits.2017.16.6.208

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