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:
May. 28, 2024

Filed:

Dec. 08, 2020
Applicant:

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

Inventors:

Subasingha Shaminda Subasingha, San Ramon, CA (US);

Yongzhe Chen, San Jose, CA (US);

Mehran Ferdowsi, San Mateo, CA (US);

Samuel Holladay, San Francisco, CA (US);

Turhan Karadeniz, Oakland, CA (US);

Robert Nicholas Moor, San Mateo, CA (US);

Joseph Patrick Warga, San Francisco, CA (US);

Harrison Thomas Waschura, Los Altos Hills, CA (US);

Silas Kogure Wilkinson, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/931 (2020.01); B60W 60/00 (2020.01); G01S 13/931 (2020.01); G01S 15/931 (2020.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G01S 17/931 (2020.01); G01S 13/931 (2013.01); G01S 15/931 (2013.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01); B60W 60/001 (2020.02); B60W 2554/402 (2020.02); B60W 2554/4041 (2020.02); G06T 2207/10028 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Sensors, including time-of-flight sensors, may be used to detect objects in an environment. In an example, a vehicle may include a time-of-flight sensor that images objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. The sensor may generate first image data at a first configuration and second image data at a second configuration. An estimated depth of an object may be determined from the first image data, and an actual depth of the object may be determined from the second image data, based on the estimated depth. In examples, the first and second configurations have different modulation frequencies such that a nominal maximum depth in the first configuration is greater than the nominal maximum depth in the second configuration.


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