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:
Oct. 13, 2020

Filed:

Sep. 05, 2018
Applicant:

Uatc, Llc, San Francisco, 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;

Wei-Chiu Ma, Pittsburgh, PA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00798 (2013.01); G06K 9/00201 (2013.01); G06K 9/4628 (2013.01); G06K 9/627 (2013.01); G06K 9/6232 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain rasterized LIDAR data associated with a surrounding environment of an autonomous vehicle. The rasterized LIDAR data can include LIDAR image data that is rasterized from a LIDAR point cloud. The computing system can access data indicative of a machine-learned lane boundary detection model. The computing system can input the rasterized LIDAR data associated with the surrounding environment of the autonomous vehicle into the machine-learned lane boundary detection model. The computing system can obtain an output from the machine-learned lane boundary detection model. The output can be indicative of one or more lane boundaries within the surrounding environment of the autonomous vehicle.


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