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. 19, 2023

Filed:

Nov. 06, 2020
Applicant:

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

Inventors:

Ankit Laddha, Pittsburgh, PA (US);

Gregory P. Meyer, Pittsburgh, PA (US);

Jake Scott Charland, Winter Park, CO (US);

Shivam Gautam, Pittsburgh, PA (US);

Shreyash Pandey, Pittsburgh, PA (US);

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

Carl Knox Wellington, Pittsburgh, PA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/58 (2006.01); G01S 17/89 (2020.01); G05D 1/00 (2006.01); G01S 17/931 (2020.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01); B60W 50/00 (2006.01); B60W 30/095 (2012.01); B60W 30/09 (2012.01);
U.S. Cl.
CPC ...
G01S 17/58 (2013.01); B60W 50/0097 (2013.01); B60W 60/0027 (2020.02); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G05D 1/0088 (2013.01); G06N 3/08 (2013.01); B60W 30/09 (2013.01); B60W 30/0956 (2013.01); B60W 2420/52 (2013.01); G05D 2201/0213 (2013.01);
Abstract

Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.


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