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:
Mar. 04, 2025

Filed:

Dec. 12, 2023
Applicant:

Tusimple, Inc., San Diego, CA (US);

Inventors:

Tian Li, San Diego, CA (US);

Panqu Wang, San Diego, CA (US);

Pengfei Chen, San Diego, CA (US);

Assignee:

TUSIMPLE, INC., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2023.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 18/24143 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 20/588 (2022.01);
Abstract

A system and method for instance-level roadway feature detection for autonomous vehicle control are disclosed. A particular embodiment includes: receiving image data from an image data collection system associated with an autonomous vehicle; extracting roadway features from the image data, causing a plurality of trained tasks to generate instance-level roadway feature detection results based on the image data, the plurality of trained tasks having been individually trained with different features of training image data received from a training image data collection system and corresponding ground truth data, the training image data and the ground truth data comprising data collected from real-world traffic scenarios; causing the plurality of trained tasks to generate task-specific predictions of feature characteristics based on the image data and to generate corresponding instance-level roadway feature detection results; and providing the instance-level roadway feature detection results to an autonomous vehicle subsystem to control operation of the autonomous vehicle.


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