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:
Mar. 24, 2026

Filed:

Aug. 18, 2023
Applicant:

Zenseact Ab, Gothenburg, SE;

Inventors:

Magnus Gyllenhammar, Pixbo, SE;

Adam Tonderski, Västra Frölunda, SE;

Assignee:

ZENSEACT AB, Gothenburg, SE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); G06V 10/764 (2022.01); G06V 10/778 (2022.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); G06V 10/764 (2022.01); G06V 10/7792 (2022.01);
Abstract

A method for updating a perception function of a vehicle having an Automated Driving System (ADS) is disclosed. The ADS has a self-supervised machine-learning (ML) algorithm for reconstructing an ingested image and a ML algorithm for an in-vehicle perception module for detecting one or more objects or free-space areas depicted in an ingested image. At first, an image of a scene in a surrounding environment of the vehicle is obtained. The obtained image is processed to obtain an output image with one or more detected objects or free-space areas. Then, an evaluation dataset is formed accordingly. The evaluation dataset and the obtained image is processed to obtain a reconstruction error value for each evaluation image and an evaluation image with highest reconstruction error value is selected among plurality of evaluation images. Using the obtained image and the selected evaluation image, the ML algorithm for the in-vehicle perception module is updated.


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