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Height Estimation Methods for Object Detection in Automotive Radar Applications

  • In automotive parking scenario, where the curb shall be detected and classified to be traversable or not, radars play an important role. There are different approaches already proposed in other works to estimate the target height. This paper assesses and compares two methods. The first is based on Angle of Arrival (AoA) estimation of input signals of multiple antennas using theIn automotive parking scenario, where the curb shall be detected and classified to be traversable or not, radars play an important role. There are different approaches already proposed in other works to estimate the target height. This paper assesses and compares two methods. The first is based on Angle of Arrival (AoA) estimation of input signals of multiple antennas using the Multiple-Input-Multiple-Output (MIMO) principle. The second method uses the geometry in multipath propagation of the radar echo signal for one antenna input. In this work a modified method of calculation of the curb height based on the second method is proposed. The theory of approach is mathematically proved and effectiveness is demonstrated by evaluation of measurements with a 77 GHz Frequency Modulated Continuous Wave (FMCW) radar. In order to evaluate the performance of the introduced method the mean square error (MSE) is used in the proposed scenario. This method, using only one antenna input, produced up to 3.4 times better results for curb height detection in comparison with former methods.…zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/6478
Bibliografische Angaben
Titel (Englisch):Height Estimation Methods for Object Detection in Automotive Radar Applications
Konferenzangaben:8th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’22), Prague, Czech Republic, July 28-30, 2022
Verfasserangaben:Alua MusralinaStaff MemberGND, Thomas Zwick, Marlene HarterStaff MemberORCiDGND
Erscheinungsjahr:2022
Beteiligte Körperschaft / Konferenz:Karlsruher Institut für Technologie
Verlag:Avestia Publishing
Seitenanzahl:8
Erste Seite:EEE 101-1
Letzte Seite:EEE 101-8
Titel des übergeordneten Werkes (Englisch):Proceedings of the 8th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’22)
ISBN:978-1-990800-09-2
ISSN:2369-811X
DOI:https://doi.org/10.11159/eee22.101
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Forschung:IUAS - Institute for Unmanned Aerial Systems
Sammlungen der Hochschule Offenburg:Bibliografie
DDC-Sachgruppen:600 Technik, Medizin, angewandte Wissenschaften
Freies Schlagwort / Tag:Radar
Angle of Arrival; Automotive Radar; Mean Square Error; curb; height estimation; multipath; parking
Formale Angaben
Relevanz für "Jahresbericht über Forschungsleistungen":1-fach | Konferenzbeitrag
Open-Access-Status: Closed Access 
Lizenz (Deutsch):License LogoCreative Commons - CC BY - Namensnennung 4.0 International