Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Study on Applying New Infrastructure for Autonomous Driving in HD Maps

자율주행을 위한 인프라의 정밀도로지도 적용 방안 연구

  • Received : 2023.10.25
  • Accepted : 2023.11.21
  • Published : 2023.12.31
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Abstract

Recently, interest in autonomous driving has drawn attention to autonomous cooperative driving, which considers the development of driving technology of autonomous vehicles and the development of infrastructure that constitutes a driving environment. According to the concept of autonomous cooperative driving, This study analyzes the new infrastructure for autonomous driving that can complement the information of existing precise road maps and adding HD map layer as the new infrastructure. The new infrastructure for autonomous driving presented two types of improved facilities and one type of sensor only facility. Analysis of HD maps shows that information such as junction points rarely changes, but it is expected that infrastructure for autonomous driving can be added to convey the meaning of paying attention to obstacles that may arise at the junction. In this way, the new infrastructure for autonomous driving needs to support the roles of guidance, instruction, and attention that existing road facilities.

최근 자율주행에 관한 관심은 자율주행차량의 주행기술 개발과 함께 주행환경을 이루는 인프라 개발을 함께 고려하는 자율협력 주행이 주목을 받고 있다. 자율협력 주행의 개념에 따라 본 연구에서는 기존 정밀도로지도의 정보를 보완할 수 있는 자율주행을 위한 신규 인프라를 분석하고 해당 인프라를 정밀도로지도에 추가하는 방안을 연구하였다. 자율주행을 위한 신규 인프라는 개선 물리 시설물 2종과 센서 전용 물리 시설물 1종을 제시하였다. 정밀도로지도 분석 결과 분기점과 같은 정보는 거의 변화하지 않는 정보이지만 분기점에서 발생할 수 있는 장애물에 주의하라는 의미 전달을 위해 자율주행을 위한 인프라를 추가할 수 있을 것으로 예상된다. 이와 같이 자율주행을 위한 신규 인프라는 기존 도로 시설물이 수행하는 안내, 지시, 주의 환기 등의 역할을 지원해야 할 필요가 있다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 22AMDP-C161924-02).

References

  1. Jeon, Y.J., C.W. Park, J.W. Kim and J.H. Lee, 2023. Study on the Material Characteristics of Improved and Virtual Facility for Autonomous Vehicles. The Journal of the Korea Contents Association, 22(12):171-179 https://doi.org/10.5392/JKCA.2022.22.12.171
  2. Jeon, Y.J., J.W. Kim, C.O. Kwon and J.H. Lee, 2023. Deriving the Role of Sign Facilities Recognized by Autonomous Vehicles. Journal of the Korean Association of Geographic Information Studies 26(1):1-10
  3. Kim, J.Y. and B.J. Park, 2022a. A Research of Factors Affecting LiDAR's Detection on Road Signs: Focus on Shape and Height of Road Sign, Journal of Korea Institute of Intelligent Transport Systems, 21(4):190-211 https://doi.org/10.12815/kits.2022.21.4.190
  4. Kim, J.Y. and B.J. Park, 2022b. A Study of LiDAR's Detection Performance Degradation in Fog and Rain Climate, Journal of Korea Institute of Intelligent Transport Systems, 21(2):101-115 https://doi.org/10.12815/kits.2022.21.2.101
  5. Lee, E.I. and D.H. Kim, 2022. Serialization Method for large spatial data transmission of High Definition Map, Journal of the Korean Association of Geographic Information Studies, 25(4):32-48
  6. Ministry of Land, Infrastructure and Transport, 2022. Road Safety Facility Installation and Management Guidelines - Gaze Guidance Facility, Ministry of Land, Infrastructure and Transport Ordinance No.681
  7. National Geographic Information Institute, 2021. Description and Guidance of HD Map
  8. National Police Agency, 2023. Road Traffic Act, Law No. 18741
  9. Park, B.J. and J.Y. Kim, 2021. A Study of LiDAR's Performance Change by Road Sign's Color and Climate. Journal of Korea Institute of Intelligence. Transportation System 20(6):228-241 https://doi.org/10.12815/kits.2021.20.6.228
  10. Won, S.Y., Y.J. Jeon, H.W. Jeong and C.O. Kwon, 2020. A Comparison of Korea Standard HD Map for Actual Driving Support of Autonomous Vehicles and Analysis of Application Layers. Journal of the Korean Association of Geographic Information Studies 23(3):1-20