MECHANICAL & APPLIED SCIENCE DOMAIN
Published April 14, 2026 | Version v1
Journal article Open

Advanced Real-Time Steering and Wheel Position Monitoring System for Vehicle Alignment Detection: Design and Development

Authors/Creators

Description

Proper wheel alignment, coupled with precise steering position monitoring, is essential for ensuring vehicle safety, extending tire lifespan, and maintaining driving stability. This study presents the design and development of an advanced real-time steering and wheel position monitoring system for detecting vehicle alignment. The proposed method integrates precision position sensors with a microcontroller-based processing unit to continuously measure the steering angle, wheel position, and trajectory. Data were collected to analyze and identify misalignment conditions by comparing real-time angular deviations with predefined alignment parameters. Experimental validation demonstrated enhanced detection accuracy and a faster response time compared to conventional manual alignment inspection methods. A reliable and cost-effective solution was developed for automotive diagnostic applications, which can be integrated into modern vehicle monitoring frameworks.

Files

Advanced Real-Time Steering.pdf

Files (334.6 kB)

Name Size Download all
md5:74cffdca3112ece58e4e7bd0e177ad00
334.6 kB Preview Download

Additional details

References

  • Mueller, M., & Voegtle, T. (2016). Determination of steering wheel angle using image processing methods. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B5, 77–84.
  • Chen, Y., & He, Y. (2021). Steering angle measurement method based on GNSS attitude and motor encoder. Transactions of the Chinese Society of Agricultural Engineering, 37(10), 1–10.
  • Li, J., et al. (2024). Dynamic measurement method for steering wheel angle of autonomous vehicles. Agriculture, 14(9).
  • Woo, S., et al. (2019). Design of a multi-track encoder-based steering angle sensor module. Sensors, 19(3).
  • Wheel alignment detection with IoT embedded system. (2021). Materials Today: Proceedings.
  • Zhang, L., Wang, Z., Ding, X., Li, S., & Wang, Z. (2021). Fault-tolerant control for intelligent electrified vehicles against front wheel steering angle sensor faults during trajectory tracking. IEEE Access, 9, 65174–65186.
  • Du, Q., Zhu, C., Li, Q., Tian, B., & Li, L. (2021). Optimal path tracking control for intelligent four-wheel steering vehicles based on MPC and state estimation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 236(9), 1964–1976. https://doi.org/10.1177/09544070211054318
  • Karatas, C., Liu, L., Li, H., Liu, J., Wang, Y., Tan, S., Yang, J., Chen, Y., Gruteser, M., & Martin, R. (2016). Leveraging wearables for steering and driver tracking. In Proceedings of IEEE INFOCOM. https://doi.org/10.1109/infocom.2016.7524544
  • Tang, Z., Xu, X., Wang, F., Jiang, X., & Jiang, H. (2018). Coordinated control for path following of two-wheel independently actuated autonomous ground vehicle. IET Intelligent Transport Systems, 13(4), 628–635. https://doi.org/10.1049/iet-its.2018.5065
  • Xu, X., Su, P., Wang, F., Chen, L., Xie, J., & Atindana, V. A. (2020). Coordinated control of dual-motor using the interval type-2 fuzzy logic in autonomous steering system of AGV. International Journal of Fuzzy Systems, 23(4), 1070–1086 https://doi.org/10.1007/s40815-020-00886-x