A. Bystrov, E. Hoare, Thuy-Yung Tran, N. Clarke, M. Gashinova, M. Cherniakov
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Sensors for Automotive Remote Road Surface Classification
In this paper, we compare the common remote sensing technologies in terms of their application for road surface classification. The presence of surface classification system in a vehicle will increase the safety of driving, especially in adverse weather conditions, as well as when driving offroad. The paper presents an overview of the application of optical, laser, ultrasonic, and microwave sensors for surface classification. From the analysis it follows that sensor data fusion allows obtaining more accurate and reliable results.
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