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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.

Patent No.:

US 11685403 B1

PDFFull Text
Date of Patent:
Jun. 27, 2023

Filed:

Oct. 08, 2020

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

Applicant:

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

Inventors:

Sivabalan Manivasagam, Toronto, CA;

Ming Liang, Toronto, CA;

Bin Yang, Toronto, CA;

Wenyuan Zeng, Toronto, CA;

Raquel Urtasun, Toronto, CA;

Tsun-Hsuan Wang, Cambridge, CA;

Assignee:

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

Attorney:

Dority & Manning, P.A.

Primary Examiner:

Rebecca E Song

Int. Cl.
CPC ...
B60W 60/00 (2020.01); H04W 4/46 (2018.01); G06N 3/08 (2023.01); G08G 1/00 (2006.01); G08G 1/01 (2006.01); H04W 4/38 (2018.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G08G 1/0104 (2013.01); G08G 1/0112 (2013.01); G08G 1/22 (2013.01); H04W 4/38 (2018.02); H04W 4/46 (2018.02); B60W 2556/65 (2020.02);
Abstract

Systems and methods for vehicle-to-vehicle communications are provided. An example computer-implemented method includes obtaining from a first autonomous vehicle, by a second autonomous vehicle, a first compressed intermediate environmental representation. The first compressed intermediate environmental representation is indicative of at least a portion of an environment of the second autonomous vehicle. The method includes generating a first decompressed intermediate environmental representation by decompressing the first compressed intermediate environmental representation. The method includes determining, using one or more machine-learned models, an updated intermediate environmental representation based at least in part on the first decompressed intermediate environmental representation and a second intermediate environmental representation generated by the second autonomous vehicle. The method includes generating an autonomy output for the second autonomous vehicle based at least in part on the updated intermediate environmental representation.

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