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:
Apr. 25, 2023

Filed:

Jul. 09, 2019
Applicant:

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

Inventors:

Nemanja Djuric, Pittsburgh, PA (US);

Henggang Cui, Allison Park, PA (US);

Thi Duong Nguyen, Pittsburgh, PA (US);

Fang-Chieh Chou, San Francisco, CA (US);

Tsung-Han Lin, San Francisco, CA (US);

Jeff Schneider, Pittsburgh, PA (US);

David McAllister Bradley, Pittsburgh, PA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06T 7/73 (2017.01); G01S 7/48 (2006.01); G06N 3/02 (2006.01); H04W 4/46 (2018.01); G01S 17/88 (2006.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G05D 1/0223 (2013.01); G01S 7/4808 (2013.01); G01S 17/88 (2013.01); G05D 1/0231 (2013.01); G06N 3/02 (2013.01); G06T 7/73 (2017.01); G06V 20/56 (2022.01); H04W 4/46 (2018.02); G06T 2207/30252 (2013.01);
Abstract

Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.


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