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.…
Document Type: | Conference Proceeding |
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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 MusralinaGND, 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): | Creative Commons - CC BY - Namensnennung 4.0 International |