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:
May. 26, 2026

Filed:

Sep. 09, 2024
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Daniel Grimm, Karlsruhe, DE;

Alexander Naumann, Karlsruhe, DE;

Felix Hertlein, Karlsruhe, DE;

Juergen Luettin, Renningen, DE;

Maximilian Zipfl, Karlsruhe, DE;

Achim Rettinger, Trier, DE;

Lavdim Halilaj, Leonberg, DE;

Marius Zoellner, Karlsruhe, DE;

Stefan Schmid, Waiblingen, DE;

Steffen Thoma, Karlsruhe, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 50/00 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
B60W 60/00274 (2020.02); B60W 50/0097 (2013.01); G06N 3/02 (2013.01); B60W 2552/53 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4045 (2020.02); B60W 2556/40 (2020.02);
Abstract

A computer-implemented method for trajectory prediction. The method includes: receiving trajectory data of motion trajectories of road users arranged in a surrounding area of the ego vehicle by a prediction module, wherein the trajectory data are arranged in a graph representation; receiving map data of a map representation mapping the surrounding area of the ego vehicle by the prediction module; generating an interaction graph representation for the plurality of road users based on the trajectory data of the road users and roadway location information of the map representation by the prediction module; and predicting a future motion trajectory to be executed for at least one other road user based on the trajectory data, the map data, and the interaction graph representation of the road users by the prediction module.


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