Dynamic Road Surface Signatures in Automotive Scenarios
W. Bouwmeester (TU Delft - Microwave Sensing, Signals & Systems)
Francesco Fioranelli (TU Delft - Microwave Sensing, Signals & Systems)
A Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)
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Abstract
A method to compute road surface signatures in the automotive scenario is presented. This method is subsequently applied to a rough asphalt surface without undulations. It is shown that, due to the observation geometry, the road surface signature experiences significant spreading along the Doppler-axis, resulting in a distinct range-Doppler map that could be used for classification purposes. This was also confirmed with an experimental recording from a car driving around the university campus. The variation of Doppler-shift and incident angle within a range bin and over a coherent processing interval is also evaluated.