The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 24, 2024
Filed:
Jul. 02, 2021
Aptiv Technologies Ag, Schaffhausen, CH;
Mohamed A. Moawad, Westfield, IN (US);
Aniello Sorrentino, Wuppertal, DE;
Nanhu Chen, Lafayette, IN (US);
Michael H. Laur, Mission Viejo, CA (US);
Jakub Porebski, Cracow, PL;
Amith Somanath, Woodland Hills, CA (US);
Aron Sommer, Cologne, DE;
Kai Zhang, Carmel, IN (US);
Uri Iurgel, Wuppertal, DE;
Alexander Ioffe, Bonn, DE;
Krzysztof Kogut, Cracow, PL;
Ceyhan Karabulut, Oberhausen, DE;
Damjan Karanovic, Kamp-Lintfort, DE;
Aptiv Technologies AG, Schaffhausen, CH;
Abstract
This document describes methods and systems for vehicle localization based on radar detections. Radar localization starts with building a radar reference map. The radar reference map may be generated and updated using different techniques as described herein. Once a radar reference map is available, real-time localization may be achieved with inexpensive radar sensors and navigation systems. Using the techniques described in this document, the data from the radar sensors and the navigation systems may be processed to identify stationary localization objects, or landmarks, in the vicinity of the vehicle. Comparing the landmark data originating from the onboard sensors and systems of the vehicle with landmark data detailed in the radar reference map may generate an accurate pose of the vehicle in its environment. By using inexpensive radar systems and lower quality navigation systems, a highly accurate vehicle pose may be obtained in a cost-effective manner.