Print Email Facebook Twitter Dynamic Road Surface Signatures in Automotive Scenarios Title Dynamic Road Surface Signatures in Automotive Scenarios Author Bouwmeester, W. (TU Delft Microwave Sensing, Signals & Systems) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2022 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. Subject Autonomous vehiclesAdvanced driver assistanceRadar cross-sectionsRough surfaces scattering To reference this document use: http://resolver.tudelft.nl/uuid:51a77fa5-1ceb-4ee1-afe1-a13a6b4220f8 DOI https://doi.org/10.23919/EuRAD50154.2022.9784570 Publisher IEEE Embargo date 2022-12-02 ISBN 978-1-6654-4723-2 Source Proceedings of the 18th European Radar Conference Event The 18th European Radar Conference, 2022-04-05 → 2022-04-07, London, United Kingdom Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public Part of collection Institutional Repository Document type conference paper Rights © 2022 W. Bouwmeester, F. Fioranelli, Alexander Yarovoy Files PDF Dynamic_Road_Surface_Sign ... narios.pdf 1.53 MB Close viewer /islandora/object/uuid:51a77fa5-1ceb-4ee1-afe1-a13a6b4220f8/datastream/OBJ/view