드라이브 ㆍ 컨트롤 (Journal of Drive and Control)

  • 제17권4호
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  • Pages.80-86
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  • 2020
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  • 2671-7972(pISSN)
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  • 2671-7980(eISSN)
유공압건설기계학회 (The Korean Society for Fluid Power and Construction Equipment)
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정밀 도로지도 정보를 활용한 자율주행 하이브리드 제어 전략

Hybrid Control Strategy for Autonomous Driving System using HD Map Information

  • Yu, Dongyeon (Department of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim, Donggyu (Department of Mechanical Engineering, Sungkyunkwan University) ;
  • Choi, Hoseung (Department of Mechanical Engineering, Sungkyunkwan University) ;
  • Hwang, Sung-Ho (Department of Mechanical Engineering, Sungkyunkwan University)
  • 투고 : 2020.11.02
  • 심사 : 2020.11.21
  • 발행 : 2020.12.01
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초록

Autonomous driving is one of the most important new technologies of our time; it has benefits in terms of safety, the environment, and economic issues. Path following algorithms, such as automated lane keeping systems (ALKSs), are key level 3 or higher functions of autonomous driving. Pure-Pursuit and Stanley controllers are widely used because of their good path tracking performance and simplicity. However, with the Pure-Pursuit controller, corner cutting behavior occurs on curved roads, and the Stanley controller has a risk of divergence depending on the response of the steering system. In this study, we use the advantages of each controller to propose a hybrid control strategy that can be stably applied to complex driving environments. The weight of each controller is determined from the global and local curvature indexes calculated from HD map information and the current driving speed. Our experimental results demonstrate the ability of the hybrid controller, which had a cross-track error of under 0.1 m in a virtual environment that simulates K-City, with complex driving environments such as urban areas, community roads, and high-speed driving roads.

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참고문헌

  1. SAE, "J3016 : Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles," 2018.
  2. UNECE, "Proposal for a new UN Regulation on uniform provisions concerning the approval of vehicles with regards to Automated Lane Keeping System," World Forum for Harmonization of Vehicle Regulations, 2020.
  3. D. H. Shin, "Design of Adaptive Neural Networks Based Path Following Controller Under Vehicle Parameter Variations," Journal of Drive and Control, Vol.17, No.1, pp.13-20, 2020. https://doi.org/10.7839/KSFC.2020.17.1.013
  4. K. S. Yi and J. Y. Lee, "Vehicle Dynamics Control Applications to Automobiles: Survey and Some New Trends," Journal of Institute of Control, Robotics and Systems, Vol.20, No.3, pp.298-312, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9017
  5. J. M. Snider, "Automatic Steering Methods for Autonomous Automobile Path Tracking," Technical Report CMU-RI-TR-09-08, Carnegie Mellon University Robotics Institute, 2009.
  6. M. W. Park, S. W. Lee and W. Y. Han, "Development of lateral control system for autonomous vehicle based on adaptive pure pursuit algorithm," 14th International Conference on Control, Automation and Systems (ICCAS), IEEE, pp. 1443-1447, 2014.
  7. H. W. Lee, "Research on lateral error correction Pure Pursuit considering vehicle weight distribution for stable following on curved path for autonomous vehicle," Kookmin University, 2017.
  8. M. Cibooglu, U. Karapinar and M. T. Soylemez, "Hybrid controller approach for an autonomous ground vehicle path tracking problem," 25th Mediterranean Conference on Control and Automation(MED), IEEE, 2017.
  9. L. Chen, Y. Chen, X. Yao, Y. Shan and L. Chen, "An Adaptive Path Tracking Controller Based on Reinforcement Learning with Urban Driving Application," 2019 IEEE Intelligent Vehicles Symposium(IV), IEEE, pp.2411-2416, 2019.
  10. H. G. Seif and X. Hu, "Autonomous Driving in the iCity-HD Maps as a Key Challenge of the Automotive Industry," Engineering, Vol.2, No.2, pp.159-162, 2016. https://doi.org/10.1016/J.ENG.2016.02.010
  11. R. Liu, J. Wang and B. Zhang, "High Definition Map for Automated Driving: Overview and Analysis," The Journal of Navigation, Vol.73, No.2, pp.324-341, 2020. https://doi.org/10.1017/S0373463319000638
  12. J. Kong, M. Pfeiffer, G. Schildbach and F. Borrelli, "Kinematic and dynamic vehicle models for autonomous driving control design," 2015 IEEE Intelligent Vehicles Symposium(IV), IEEE, pp.1094-1099, 2015.
  13. G. M. Hoffmann, C. J. Tomlin, M. Montemerlo and S. Thrun, "Autonomous Automobile Trajectory Tracking for Off-Road Driving : Controller Design, Experimental Validation and Racing," Proceedings of the 2007 American Control Conference, 2007.
  14. E. Yurtsever, J. Lambert, A. Carballo and K. Takeda, "A Survey of Autonomous Driving : Common Practices and Emerging Technologies," IEEE Access, Vol.8, 2020.
  15. M. Elbanhawi, M. Simic and R. Jazar, "In the Passenger Seat : Investigating Ride Comfort Measures in Autonomous Cars," IEEE Intelligent Transportation Systems Magazine, Vol.7, No.3, pp.4-17, 2015. https://doi.org/10.1109/MITS.2015.2405571
  16. S. Y. Cheon, S. W. Choi and S. Y. Yang, "Development of Hydraulic Simulation Model for ESP Real Time Simulation," Journal of Drive and Control, Vol.16, No.2, pp.36-42, 2019. https://doi.org/10.7839/KSFC.2019.16.2.036
  17. S. Y. Cheon, S. W. Choi and S. Y. Yang, "Development of Real-time Simulator for Vehicle Electric Brake System," Journal of Drive and Control, Vol.16, No.1, pp.22-28, 2019. https://doi.org/10.7839/KSFC.2019.16.1.022