Autonomous Driving Features based on 79 GHz Polarimetric Radar Data

Stefan Trummer, Gerhard F. Hamberger, Richard Koerber, Uwe Siart, Thomas F. Eibert

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

Predicting the behavior of the environment precisely is an important challenge of autonomous driving. With this purpose in mind, the potential of polarimetric radar technology is shown in this paper. The main features like object identification and exact contour detection allow the analysis of different layers of velocity and, thus, a clearer target classification. Another key feature is street condition measurement, which is necessary to calculate safe velocities, for example for driving around a curve. These polarimetric features are explained with examples which include actual radar data and signal analysis.

OriginalspracheEnglisch
Titel2018 15th European Radar Conference, EuRAD 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten18-21
Seitenumfang4
ISBN (elektronisch)9782874870538
DOIs
PublikationsstatusVeröffentlicht - 26 Nov. 2018
Veranstaltung15th European Radar Conference, EuRAD 2018 - Madrid, Spanien
Dauer: 26 Sept. 201828 Sept. 2018

Publikationsreihe

Name2018 15th European Radar Conference, EuRAD 2018

Konferenz

Konferenz15th European Radar Conference, EuRAD 2018
Land/GebietSpanien
OrtMadrid
Zeitraum26/09/1828/09/18

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