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.

Date of Patent:
Jun. 17, 2025

Filed:

Mar. 29, 2022
Applicant:

Aptiv Technologies Ag, Schaffhausen, CH;

Inventors:

Krzysztof Kogut, Cracow, PL;

Jakub Porebski, Cracow, PL;

Maciej Rózewicz, Cracow, PL;

Assignee:

Aptiv Technologies AG, Schaffhausen, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); B60W 30/095 (2012.01); G06F 18/24 (2023.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 30/095 (2013.01); G06F 18/24 (2023.01); B60W 2420/403 (2013.01); B60W 2554/4041 (2020.02); B60W 2554/4049 (2020.02);
Abstract

A computer-implemented method and device for mapping a vehicle environment of a vehicle are disclosed. The method comprises determining an occupancy grid representing the vehicle environment, including occupancy probability information of a first set of object detections. The occupancy probability information is determined from first positioning information obtained from a first sensor system. Semantic information and second positioning information associated with the semantic information from one or more semantic information sources is obtained. The semantic information comprises object classification information of a second set of object detections and the second positioning system indicates one or more positions of the second set of object detections with respect to the vehicle. The object classification information of the second set of object detections is combined with the occupancy probability information of the occupancy grid to generate a classified occupancy grid.


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