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. 19, 2020

Filed:

Oct. 13, 2017
Applicant:

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

Inventors:

Nemanja Djuric, Pittsburgh, PA (US);

Vladan Radosavljevic, Pittsburgh, PA (US);

Thi Duong Nguyen, Pittsburgh, PA (US);

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

Jeff Schneider, Pittsburgh, PA (US);

Assignee:

UATC, LLC, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G05D 1/00 (2006.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0246 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0221 (2013.01); G05D 1/0251 (2013.01); G05D 1/0276 (2013.01); G06K 9/00335 (2013.01); G06K 9/00369 (2013.01); G06K 9/00805 (2013.01); G06K 9/6256 (2013.01); G06K 9/6288 (2013.01); G06K 2209/21 (2013.01);
Abstract

Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a predicted trajectory of the object.


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