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:
Apr. 14, 2025

Filed:

Aug. 15, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Xu Chen, Livermore, CA (US);

Nichola Abdo, Mountain View, CA (US);

Ruichi Yu, Mountain View, CA (US);

Chang Gao, Sunnyvale, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2005.12); B60W 60/00 (2019.12); G01S 13/86 (2005.12); G01S 13/931 (2019.12); G06F 18/24 (2022.12); G06F 18/25 (2022.12); G06T 7/20 (2016.12); G06V 20/56 (2021.12);
U.S. Cl.
CPC ...
G01S 7/417 (2012.12); B60W 60/001 (2020.01); G01S 7/412 (2012.12); G01S 13/867 (2012.12); G01S 13/931 (2012.12); G06F 18/24 (2022.12); G06F 18/253 (2022.12); G06T 7/20 (2012.12); G06V 20/56 (2021.12); B60W 2420/403 (2012.12); B60W 2420/408 (2023.12); B60W 2554/404 (2020.01); G06T 2207/10044 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/30252 (2012.12);
Abstract

The described aspects and implementations enable fast and accurate verification of radar detection of objects in autonomous vehicle (AV) applications using combined processing of radar data and camera images. In one implementation, disclosed is a method and a system to perform the method that includes obtaining a radar data characterizing intensity of radar reflections from an environment of the AV, identifying, based on the radar data, a candidate object, obtaining a camera image depicting a region where the candidate object is located, and processing the radar data and the camera image using one or more machine-learning models to obtain a classification measure representing a likelihood that the candidate object is a real object.


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