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Volume 14
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10.3390/rs14153602
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Article

Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges

by
Stefano Tebaldini
1,*,
Marco Manzoni
1,
Dario Tagliaferri
1,
Marco Rizzi
1,
Andrea Virgilio Monti-Guarnieri
1,
Claudio Maria Prati
1,
Umberto Spagnolini
1,
Monica Nicoli
1,
Ivan Russo
2 and
Christian Mazzucco
2
1
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy
2
Huawei Technologies Italia S.r.l., 20129 Segrate, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(15), 3602; https://doi.org/10.3390/rs14153602
Submission received: 16 June 2022 / Revised: 22 July 2022 / Accepted: 25 July 2022 / Published: 27 July 2022
(This article belongs to the Section Urban Remote Sensing)
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Abstract

In this paper, we discuss the possibility of generating high-resolution mapping of urban (or extra-urban) environments by the application of synthetic aperture radar (SAR) processing concepts to the data collected by mm-wave automotive radars installed on-board commercial vehicles. The study is motivated by the fact that radar sensors are becoming an indispensable component of the equipment of modern vehicles, being characterized by low cost, good performance, and affordable processing; therefore, in the future, nearly every single vehicle could be potentially equipped with radar devices capable of high-resolution imaging, enabled by application of SAR processing methodologies. Throughout this paper, we aim to discuss the role of SAR imaging in the automotive context under a theoretical and experimental perspective. First, we present the resulting benefits in terms of angular resolution and signal-to-noise ratio. Then, we discuss relevant technological aspects, such as suppression of angular ambiguities, fine estimation of platform motion, and SAR processing architectures, and we present a preliminary evaluation of the required computational costs. Finally, we will present a number of experimental results based on open road campaign data acquired using an 8-channel MIMO radar at 77 GHz, considering the cases of side-looking SAR, forward SAR, and SAR imaging of moving targets.
Keywords: synthetic aperture radar; automotive radar; MIMO radar; urban remote sensing synthetic aperture radar; automotive radar; MIMO radar; urban remote sensing

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MDPI and ACS Style

Tebaldini, S.; Manzoni, M.; Tagliaferri, D.; Rizzi, M.; Monti-Guarnieri, A.V.; Prati, C.M.; Spagnolini, U.; Nicoli, M.; Russo, I.; Mazzucco, C. Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges. Remote Sens. 2022, 14, 3602. https://doi.org/10.3390/rs14153602

AMA Style

Tebaldini S, Manzoni M, Tagliaferri D, Rizzi M, Monti-Guarnieri AV, Prati CM, Spagnolini U, Nicoli M, Russo I, Mazzucco C. Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges. Remote Sensing. 2022; 14(15):3602. https://doi.org/10.3390/rs14153602

Chicago/Turabian Style

Tebaldini, Stefano, Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini, Monica Nicoli, Ivan Russo, and Christian Mazzucco. 2022. "Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges" Remote Sensing 14, no. 15: 3602. https://doi.org/10.3390/rs14153602

APA Style

Tebaldini, S., Manzoni, M., Tagliaferri, D., Rizzi, M., Monti-Guarnieri, A. V., Prati, C. M., Spagnolini, U., Nicoli, M., Russo, I., & Mazzucco, C. (2022). Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges. Remote Sensing, 14(15), 3602. https://doi.org/10.3390/rs14153602

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