Abstract

This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.

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