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:
Jul. 01, 2025

Filed:

Sep. 14, 2023
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Ahmed Kamel Sadek, San Diego, CA (US);

Soyeb Noormohammed Nagori, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/262 (2006.01); B60W 60/00 (2020.01); G06T 7/50 (2017.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
H04N 5/2624 (2013.01); B60W 60/001 (2020.02); G06T 7/50 (2017.01); H04N 7/181 (2013.01); B60W 2556/45 (2020.02); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30252 (2013.01);
Abstract

An apparatus includes a memory for storing image data; and processing circuitry in communication with the memory. The processing circuitry is configured to generate a respective context vector for each pixel of the image data; generate a respective initial depth distribution for each pixel of the image data; and determine, for each pixel of the image data, a respective predicted depth peakiness factor based on the respective initial depth distribution, the respective predicted depth peakiness factor indicating a confidence of a depth for the pixel. The processing circuitry is also configured to determine a respective final depth distribution for each pixel based on the respective predicted depth peakiness factor and the respective initial depth distribution; and generate a bird's eye view (BEV) image using the respective final depth distribution for each pixel of the image data and the respective context vector for each pixel of the image data.


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