Enhanced Black Ice Detection in Road Environments Using LiDAR and Angle-Thermal Modulation
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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.
Keywords
- Black Ice Detection
- LiDAR Lite v3 Sensor
- Surface Reflectivity Analysis
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