Road Environment Black Ice Detection Using LiDAR Sensor
DOI:
https://doi.org/10.52783/jns.v14.2763Keywords:
Black ice, Lidar, Road environmentAbstract
This paper puts forth a novel methodology for the detection of black ice utilizing a Lidar Lite v3 sensor. The sensor is a compact, cost-effective, high-precision distance measuring device utilized to discern the angle between asphalt and black ice by modulating temperature and tilt angle. The sensor exhibits a range measurement error rate of approximately ±1 cm, which may result in some errors in distinguishing between black ice and asphalt. This paper highlights the necessity for further research and enhancements to enhance accuracy and proposes a more precise method for detecting black ice.
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Hyung Gyun Kim, “A Black Ice Detection Method Using Infrared Camera and YOLO,” Journal of the Korea Institute of Information and Communication Engineering Journal of the Korea Telecommunications Society Vol.25, No.12:1874~1881, Dec.2021
Dong-Han Lee, ”A Study on the Design of Forest IoT Network with Edge Computing,”Journal of KIIT. Vol. 16, No10, pp.101-109, Oct.31,2018.pISSN 1598-8619, eISSN 2093-7571
Kim, Seung-Jun, Won-Sub Yoon, and Yeon-Kyu Kim., ”Characteristics of Black Ice Using Thermal Imaging Camera”Journal of the Korean Society of Industry Convergence 24.6_2(2021): 873-882
E. Ayala, J. Sotamba, B. Carpio and O. Escandón“Lidar Lite v3 Module Performance Evaluation” 978-1-5386-6657-9/18/$31.00 ©2018 IEEE
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