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:

Nov. 30, 2022
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

David Weikersdorfer, Mountain View, CA (US);

Qian Lin, Berkeley, CA (US);

Aman Jhunjhunwala, Toronto, CA;

Emilie Lucie Eloïse Wirbel, Nogent-sur-Marne, FR;

Sangmin Oh, San Jose, CA (US);

Minwoo Park, Saratoga, CA (US);

Gyeong Woo Cheon, San Jose, CA (US);

Arthur Henry Rajala, Greenville, OH (US);

Bor-Jeng Chen, San Jose, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 15/931 (2020.01); G01S 15/04 (2006.01); G01S 15/06 (2006.01); G01S 15/86 (2020.01);
U.S. Cl.
CPC ...
G01S 15/931 (2013.01); G01S 15/86 (2020.01); G01S 15/04 (2013.01); G01S 15/06 (2013.01); G01S 2015/938 (2013.01);
Abstract

In various examples, techniques for sensor-fusion based object detection and/or free-space detection using ultrasonic sensors are described. Systems may receive sensor data generated using one or more types of sensors of a machine. In some examples, the systems may then process at least a portion of the sensor data to generate input data, where the input data represents one or more locations of one or more objects within an environment. The systems may then input at least a portion of the sensor data and/or at least a portion of the input data into one or more neural networks that are trained to output one or more maps or other output representations associated with the environment. In some examples, the map(s) may include a height, an occupancy, and/or height/occupancy map generated, e.g., from a birds-eye-view perspective. The machine may use these outputs to perform one or more operations.


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