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:
Aug. 22, 2023

Filed:

Feb. 19, 2019
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Niluthpol Chowdhury Mithun, Lawrenceville, NJ (US);

Sirajum Munir, Pittsburgh, PA (US);

Charles Shelton, Monroeville, PA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06T 7/00 (2017.01); G06T 7/90 (2017.01); G06N 3/04 (2023.01); G06F 18/2413 (2023.01); G06F 18/214 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G06V 10/454 (2022.01); G06F 18/214 (2023.01); G06F 18/24133 (2023.01); G06N 3/04 (2013.01); G06T 7/90 (2017.01); G06T 7/97 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01);
Abstract

A depth-based object-detection convolutional neural network is disclosed. The depth-based object-detection convolutional neural network described herein incorporates a base network and additional structure. The base network is configured to receive a depth image formatted as RGB image data as input, and compute output data indicative of at least one feature of an object in the RGB image data. The additional structure is configured to receive the output data of the base network as input, and compute predictions of the location of a region in the received depth image that includes the object and of a class of the object as output. An object detection device incorporating the depth-based object-detection convolutional neural network is operable in real time using an embedded GPU.


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