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. 28, 2019

Filed:

Aug. 23, 2017
Applicant:

Tusimple, San Diego, CA (US);

Inventors:

Zehua Huang, San Diego, CA (US);

Panqu Wang, San Diego, CA (US);

Pengfei Chen, San Diego, CA (US);

Tian Li, San Diego, CA (US);

Assignee:

TUSIMPLE, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2006.01); G06K 9/00 (2006.01); G08G 1/16 (2006.01); G06T 7/10 (2017.01); G06K 9/78 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00798 (2013.01); G05D 1/0246 (2013.01); G06K 9/00711 (2013.01); G06K 9/00791 (2013.01); G06K 9/78 (2013.01); G06T 7/10 (2017.01); G08G 1/167 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30256 (2013.01);
Abstract

A system and method for using triplet loss for proposal free instance-wise semantic segmentation for lane detection are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing a semantic segmentation operation or other object detection on the received image data to identify and label objects in the image data with object category labels on a per-pixel basis and producing corresponding semantic segmentation prediction data; performing a triplet loss calculation operation using the semantic segmentation prediction data to identify different instances of objects with similar object category labels found in the image data; and determining an appropriate vehicle control action for the autonomous vehicle based on the different instances of objects identified in the image data.


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