Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 1 of 18
Back to Result List

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.show moreshow less

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/6478
Bibliografische Angaben
Title (English):Height Estimation Methods for Object Detection in Automotive Radar Applications
Conference:8th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’22), Prague, Czech Republic, July 28-30, 2022
Author:Alua MusralinaStaff MemberGND, Thomas Zwick, Marlene HarterStaff MemberORCiDGND
Year of Publication:2022
Contributing Corporation:Karlsruher Institut für Technologie
Publisher:Avestia Publishing
Page Number:8
First Page:EEE 101-1
Last Page:EEE 101-8
Parent Title (English):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
Language:English
Inhaltliche Informationen
Institutes:Forschung / IUAS - Institute for Unmanned Aerial Systems
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
GND Keyword:Radar
Tag:Angle of Arrival; Automotive Radar; Mean Square Error; curb; height estimation; multipath; parking
Formale Angaben
Relevance:Konferenzbeitrag: h5-Index < 30
Open Access: Closed Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International