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.…


| 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 Musralina GND, 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): | Creative Commons - CC BY - Namensnennung 4.0 International |




