Enhanced Black Ice Detection in Road EnvironmentsUsing ‎LiDAR and Angle-Thermal Modulation

  • Authors

    • Seung-Beom Hong Department of Avionics, Hanseo University
    • Won Hyuk Choi Department of Avionics, Hanseo University
    https://doi.org/10.14419/bwb02d23

    Received date: September 24, 2025

    Accepted date: November 10, 2025

    Published date: December 4, 2025

  • Black Ice Detection; LiDAR Lite v3 Sensor; Surface Reflectivity Analysis.

  • Abstract

    This paper explores a LiDAR-based approach for identifying black ice on road surfaces by analyzing variations in distance measurements ‎under controlled changes in temperature and sensor orientation. Utilizing the compact and economical Lidar Lite v3, we observed how sub-‎tle differences in reflectivity and surface angle can distinguish black ice from asphalt. Despite the sensor's ±1 cm error margin, experimental ‎outcomes suggest it is feasible to detect black ice through this method. The proposed approach offers a potential solution for real-time road ‎hazard monitoring and sets the foundation for further enhancements aimed at improving robustness in dynamic environments‎.

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  • How to Cite

    Hong, S.-B. ., & Choi, W. H. (2025). Enhanced Black Ice Detection in Road EnvironmentsUsing ‎LiDAR and Angle-Thermal Modulation. International Journal of Basic and Applied Sciences, 14(8), 136-141. https://doi.org/10.14419/bwb02d23