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. 31, 2022

Filed:

Sep. 06, 2019
Applicant:

Uatc, Llc, San Francisco, CA (US);

Inventors:

Shivam Gautam, Pittsburgh, PA (US);

Brian C. Becker, Pittsburgh, PA (US);

Carlos Vallespi-Gonzalez, Pittsburgh, PA (US);

Cole Christian Gulino, Pittsburgh, PA (US);

Assignee:

UATC, LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G05D 1/00 (2006.01); G06T 7/00 (2017.01); G06V 20/58 (2022.01); G06T 7/20 (2017.01); G05D 1/02 (2020.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G05D 1/0088 (2013.01); G05D 1/0231 (2013.01); G06T 7/20 (2013.01); G06V 40/10 (2022.01); G05D 2201/0213 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Systems, methods, tangible non-transitory computer-readable media, and devices associated with object association and tracking are provided. Input data can be obtained. The input data can be indicative of a detected object within a surrounding environment of an autonomous vehicle and an initial object classification of the detected object at an initial time interval and object tracks at time intervals preceding the initial time interval. Association data can be generated based on the input data and a machine-learned model. The association data can indicate whether the detected object is associated with at least one of the object tracks. An object classification probability distribution can be determined based on the association data. The object classification probability distribution can indicate a probability that the detected object is associated with each respective object classification. The association data and the object classification probability distribution for the detected object can be outputted.


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