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:
Feb. 21, 2023

Filed:

Dec. 31, 2019
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Liang Gou, San Jose, CA (US);

Lincan Zou, San Jose, CA (US);

Nanxiang Li, San Mateo, CA (US);

Axel Wendt, Ostfildern, DE;

Liu Ren, Saratoga, CA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 20/58 (2022.01); G06F 16/904 (2019.01); G06F 3/04842 (2022.01); G06F 16/58 (2019.01); G06N 20/00 (2019.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G05D 1/0088 (2013.01); G06F 3/04842 (2013.01); G06F 16/58 (2019.01); G06F 16/904 (2019.01); G06N 20/00 (2019.01); G05D 2201/0213 (2013.01);
Abstract

Visual analytics tool for updating object detection models in autonomous driving applications. In one embodiment, an object detection model analysis system including a computer and an interface device. The interface device includes a display device. The computer includes an electronic processor that is configured to extract object information from image data with a first object detection model, extract characteristics of objects from metadata associated with image data, generate a summary of the object information and the characteristics, generate coordinated visualizations based on the summary and the characteristics, generate a recommendation graphical user interface element based on the coordinated visualizations and a first one or more user inputs, and update the first object detection model based at least in part on a classification of one or more individual objects as an actual weakness in the first object detection model to generate a second object detection model for autonomous driving.


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