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:
Sep. 16, 2025

Filed:

Dec. 29, 2022
Applicant:

Kodiak Robotics, Inc., Mountain View, CA (US);

Inventors:

Derek J. Phillips, Mountain View, CA (US);

Collin C. Otis, Driggs, ID (US);

Andreas Wendel, Mountain View, CA (US);

Jackson P. Rusch, Mountain View, CA (US);

Assignee:

Kodiak Robotics, Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); B60W 30/095 (2012.01); B60W 50/06 (2006.01); B60W 60/00 (2020.01); B60W 30/09 (2012.01);
U.S. Cl.
CPC ...
B60W 30/0956 (2013.01); B60W 50/06 (2013.01); B60W 60/001 (2020.02); B60W 30/09 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01);
Abstract

This disclosure provides systems and methods for detecting and tracking objects or obstacles in an environment of an autonomous vehicle. The method may include receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; and using a processor: generating high precision detection data based on the received data; identifying, from the high precision detection data, a set of objects that are classifiable by at least one known classifier; generating high recall detection data based on the received data; identifying from the high recall detection data a set of obstacles; and performing an operation on the high precision detection data of the objects and the high recall detection data of the obstacles, based on a status of the autonomous vehicle or based on one or more characteristics of the objects or the obstacles.


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