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Design and Implementation of HD-Map based Scene Search System

HD-Map기반 주행환경 검색 시스템 구현

  • Received : 2023.11.22
  • Accepted : 2024.01.11
  • Published : 2024.04.30

Abstract

Each ADS must have a validation and evaluation scenario for ODD. This requires a large number of scenarios, so a scenario library must be developed. In order to effectively utilize the scenario library, a system that supports testing in the ODD of the user's choice is required. In other words, in order to develop a scenario library, it is necessary to build a database on actual driving road conditions (geometry, etc.). Accordingly, in this study, we establish a domestic driving environment database based on HD-Map for driving safety testing, design a system that can search test target sections in connection with the ODD of the scenario, and present the implementation results. In the future, it is expected that the domestic driving environment database will be able to create scenarios through linking with the scenario library and directly utilize them for scenario-based evaluation of various demand sources.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원 자율주행기술개발혁신사업(과제번호 : 22AMDP-C165730-02)의 연구비 지원으로 수행되었습니다.

References

  1. S. Khastgir, S. Brewerton, J. Thomas, P. Jennings, "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering & System Safety, Vol. 215, 2021. 
  2. I. Colwell, "Runtime Restriction of the Operational Design Domain: A Safety Concept for Automated Vehicles," University of Waterloo, pp. 4-25, 2018. 
  3. G. Bagschik, T. Menzel, M. Maurer, "Ontology based Scene Creation for the Development of Automated Vehicles," 2018 IEEE Intelligent Vehicles Symposium (IV), 2018. 
  4. Satefy Pool, https://www.safetypool.ai/
  5. Y. Zhu, J. Wang, F. Meng, T. Liu, "Review on Functional Testing Scenario Library Generation for Connected and Automated Vehicles," SENSORS, 2022 . 
  6. A. M. Jacobo, U. Nobuyuki, Y. Kunio, O. Koichiro, K. Eiichi, T. Satoshi, "Development of a Safety Assurance Process for Autonomous Vehicles in Japan" 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Technology: Enabling a Safer Tomorrow, 2019. 
  7. J. H. Kim, S. C. Kee, "A Research on the ODD and OEDR Guidelines Based on the Demonstration Case of Autonomous Driving in Sejong City," The Transactions of the Korean Society Automotive Engineers, Vol. 28, No. 10, pp. 659-668, 2020.  https://doi.org/10.7467/KSAE.2020.28.10.659
  8. H. J. Kim, K. I., Im, J. H. Kim, W. B. Son, "Operational Design Domain for Testing of Autonomous Shuttle on Arterial Road," The Journal of The Korea Institute of Intelligent Transportation Systems, Vol. 19, No. 2, pp. 135-148, 2020.  https://doi.org/10.12815/kits.2020.19.2.135
  9. J. Y. Lee, S. N. Son, Y. S. Cho, "A Study on Operational Design Domain Classification System of National for Autonomous Vehicle of Level 4 or Higher Autonomous Vehicle," The Journal of The Korea Institute of Intelligent Transport Systems, Vol. 22, No. 2, pp. 195-211, 2023. (in Korean)  https://doi.org/10.12815/kits.2023.22.2.195
  10. National Geographic Information Institute, "Manual for HD-Map Making," 2020. (in Korean)