Year: 2025
Type: article
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.
DOI: 10.14419/bwb02d23
Authors: Seung-Beom Hong, Won Hyuk Choi
Institution: Hanseo University
Language: English
Subfield: Instrumentation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
Funder: Hanseo University
OpenAlex ID: W4417036513
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