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Estimation of Road Surface Roughness Using Airborne Synthetic Aperture Radar

Babu, Arun and Baumgartner, Stefan V. and Krieger, Gerhard and Rischioni, Lucas Germano (2022) Estimation of Road Surface Roughness Using Airborne Synthetic Aperture Radar. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 239-244. European Conference on Synthetic Aperture Radar (EUSAR), 2022-07-25 - 2022-07-28, Leipzig, Germany. ISBN 978-3-8007-5823-4. ISSN 2197-4403.

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Official URL: https://ieeexplore.ieee.org/document/9944251


Since road surface roughness is an important factor for road safety, periodic monitoring of the road surface roughness is a necessity. Compared to the widely used costly, time-consuming and labour-intensive road surface roughness esti-mation using measurement vehicles all over the country, the potential of airborne polarimetric SAR to remotely estimate the road surface roughness is investigated in this study. The analysis of the airborne X-band polarimetric SAR datasets acquired by DLR’s F-SAR system over the Kaufbeuren and Braunschweig test sites revealed that the X-band airborne SAR datasets are sensitive to the road surface roughness. The road surface roughness results estimated using different models are discussed in this paper.

Item URL in elib:https://elib.dlr.de/148651/
Document Type:Conference or Workshop Item (Speech)
Title:Estimation of Road Surface Roughness Using Airborne Synthetic Aperture Radar
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Babu, ArunUNSPECIFIEDhttps://orcid.org/0000-0002-3973-1666UNSPECIFIED
Baumgartner, Stefan V.UNSPECIFIEDhttps://orcid.org/0000-0002-8337-6825UNSPECIFIED
Krieger, GerhardUNSPECIFIEDhttps://orcid.org/0000-0002-4548-0285UNSPECIFIED
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 239-244
Keywords:F-SAR, Sigma nought, Road surface roughness, Open street map, Machine learning
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Leipzig, Germany
Event Type:international Conference
Event Dates:2022-07-25 - 2022-07-28
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Babu, Arun
Deposited On:07 Feb 2022 07:59
Last Modified:13 Jan 2023 14:50

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