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:
Jun. 20, 2023

Filed:

Jun. 25, 2021
Applicant:

Uatc, Llc, Mountain View, CA (US);

Inventors:

Min Bai, Toronto, CA;

Gellert Sandor Mattyus, Toronto, CA;

Namdar Homayounfar, Toronto, CA;

Shenlong Wang, Toronto, CA;

Shrindihi Kowshika Lakshmikanth, Stanford, CA (US);

Raquel Urtasun, Toronto, CA;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/82 (2022.01); G05D 1/02 (2020.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G01S 7/48 (2006.01); G01S 17/89 (2020.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01); G06V 20/56 (2022.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G01S 7/4808 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G05D 1/0221 (2013.01); G05D 1/0231 (2013.01); G06F 18/217 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 20/588 (2022.01); G05D 2201/0213 (2013.01);
Abstract

Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain a first type of sensor data (e.g., camera image data) associated with a surrounding environment of an autonomous vehicle and/or a second type of sensor data (e.g., LIDAR data) associated with the surrounding environment of the autonomous vehicle. The computing system can generate overhead image data indicative of at least a portion of the surrounding environment of the autonomous vehicle based at least in part on the first and/or second types of sensor data. The computing system can determine one or more lane boundaries within the surrounding environment of the autonomous vehicle based at least in part on the overhead image data indicative of at least the portion of the surrounding environment of the autonomous vehicle and a machine-learned lane boundary detection model.


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