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:
Dec. 24, 2024

Filed:

Sep. 20, 2023
Applicant:

Motive Technologies, Inc., San Francisco, CA (US);

Inventors:

Aamer Zaheer, Lahore, PK;

Ali Hassan, Lahore, PK;

Ahmed Ali, Lahore, PK;

Hussam Ullah Khan, Lahore, PK;

Afsheen Rafaqat Ali, Lahore, PK;

Syed Wajahat Ali Shah Kazmi, Lahore, PK;

Assignee:

MOTIVE TECHNOLOGIES, INC., San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06T 7/62 (2017.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/588 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30204 (2013.01); G06T 2207/30256 (2013.01);
Abstract

Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a sample set of image frames; detecting a plurality of markers in the sample set of image frames using a convolutional neural network (CNN); fitting lines based on the plurality of markers; detecting a plurality of vanishing points based on the lines; identifying a best fitting horizon for the sample set of image frames via a RANSAC algorithm; computing an inverse perspective mapping (IPM) based on the best fitting horizon; and computing a lane width estimate based on the sample set of image frames using the IPM in a rectified view and the parallel line fitting.


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