Earticle

초록

영어

This study proposes a vehicle positioning system that integrates RTK-based Global Navigation Satellite System (GNSS), an Inertial Measurement Unit (IMU), and wheel-tick data obtained from the vehicle’s On-Board Diagnostics (OBD) to overcome the frequent GNSS signal outages and multipath effects that occur in urban, underground, and tunnel environments. To ensure stable positioning even under unstable RTK signal conditions, an Extended Kalman Filter (EKF) was applied. Experimental results show that the proposed system improves positioning accuracy by approximately 5 meters in open-sky environments using RTK. Under Dead Reckoning (DR) conditions, integrating OBD-based wheel-tick data with the IMU reduced the position error by up to 30 meters compared to using the IMU alone. Furthermore, in tunnel-driving experiments, the system maintained a position error within 3.5 meters even when GNSS signals were completely lost. The proposed method demonstrates practical applicability in various domains requiring high-precision positioning, such as autonomous driving, high-definition map construction, and real-time vehicle monitoring.

목차

Abstract
1. Introduction
2. Real-Time Kinematic (RTK) Positioning Method
3. Dead Reckoning–based Position Estimation
4. OBD-based Wheel-Tick Position Correction
5. Experiments and Discussion
6. Conclusion
References

키워드

저자

• Hyo-Young Jung [ Department of Electrical and Electronics Engineering, Mokwon University, Korea ]
• Se-Jun Park [ Department of Electrical and Electronics Engineering, Mokwon University, Korea ]
• Yong-Ho Seo [ Department of Electrical and Electronics Engineering, Mokwon University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380