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:
Nov. 14, 2023

Filed:

Dec. 17, 2021
Applicant:

Zoox, Inc., Foster City, CA (US);

Inventors:

Subhasis Das, Menlo Park, CA (US);

Jifei Qian, Campbell, CA (US);

Liujiang Yan, San Mateo, CA (US);

Assignee:

Zoox, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06V 10/40 (2022.01); G06T 7/246 (2017.01); G06V 20/58 (2022.01); G01S 17/931 (2020.01); G01S 13/931 (2020.01); G01S 13/86 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); G01S 13/865 (2013.01); G01S 13/867 (2013.01); G01S 13/931 (2013.01); G01S 17/931 (2020.01); G06T 7/246 (2017.01); G06V 10/40 (2022.01); G06V 20/58 (2022.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Techniques for determining an output from a plurality of sensor modalities are discussed herein. Features from a radar sensor, a lidar sensor, and an image sensor may be input into respective models to determine respective intermediate outputs associated with a tracks associated with an object and associated confidence levels. The Intermediate outputs from a radar model, a lidar model, and an vision model may be input into a fused model to determine a fused confidence level and fused output associated with the track. The fused confidence level and the individual confidence levels are compared to a threshold to generate the track to transmit to a planning system or prediction system of an autonomous vehicle. Additionally, a vehicle controller can control the autonomous vehicle based on the track and/or on the confidence level(s).


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