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:
Oct. 27, 2026

Filed:

May. 01, 2023
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Sai Madhuraj Jadhav, San Diego, CA (US);

Amin Ansari, Federal Way, WA (US);

Yunxiao Shi, San Diego, CA (US);

Avdhut Joshi, San Marcos, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06T 7/13 (2017.01); G06T 7/521 (2017.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06T 7/13 (2017.01); G06T 7/521 (2017.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2556/00 (2020.02); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Example systems and techniques are described for controlling operation of a vehicle and training a machine learning model for controlling operation of a vehicle. A system includes memory configured to store point cloud data associated with the vehicle and one or more processors communicatively coupled to the memory. The one or more processors are configured to determine a depth map indicative of distance of one or more objects to the vehicle and control operation of a vehicle based on the depth map. The depth map is based on executing a machine learning model, the machine learning model being trained with a slice loss function determined from training point cloud data having a respective depth that is greater than the average depth for a set of points of the point cloud data plus a threshold.


Find Patent Forward Citations

Quick Actions:

Jadhav, Sai. (2026). Using lidar objectness to address vehicle slicing in supervised depth estimation (U.S. Patent No. 12774009). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12774009

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