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:
Jun. 02, 2026

Filed:

Aug. 30, 2023
Applicant:

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

Inventors:

Philippe Martin Burlina, Rockville, MD (US);

Patrick Blaes, Redwood City, CA (US);

Yifan Zuo, Foster City, CA (US);

Subhasis Das, San Mateo, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/86 (2006.01); B60W 40/02 (2006.01); G01S 7/41 (2006.01); G01S 13/931 (2020.01);
U.S. Cl.
CPC ...
G01S 13/867 (2013.01); B60W 40/02 (2013.01); G01S 7/415 (2013.01); G01S 13/931 (2013.01); B60W 2420/40 (2013.01); B60W 2420/408 (2024.01);
Abstract

Vehicle computing systems may receive and fuse long-wave infrared data with radar data to detect and track objects in low-visibility driving environments. In some examples, radar data including position and velocity data may be projected over infrared image data to detect, classify, and track infrared-emitting objects. Machine-learned transformer models with attention also may be trained to output object detections based on combined infrared and radar data. The fusion of infrared and radar data may be used individual and/or may be synchronized with other sensor modalities. In some examples, the fusion and analysis of infrared and radar data may be used in specific low-visibility driving environments, using low-light, fog, and shadowed areas of the environment, to detect and track infrared-emitting and/or moving objects such as pedestrians and animals that may be obscured from detection by other sensor modalities.


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