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:
Sep. 08, 2026

Filed:

Jul. 09, 2024
Applicant:

Cambridge Mobile Telematics Inc., Cambridge, MA (US);

Inventors:

Paresh Malalur, Cambridge, MA (US);

Sandeep Badrinath, Cambridge, MA (US);

Onkar Trivedi, Cambridge, MA (US);

Dheeptha Badrinarayanan, Cambridge, MA (US);

Assignee:

Cambridge Mobile Telematics Inc., Cambridge, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/50 (2022.01); G06T 3/18 (2024.01); G06T 15/06 (2011.01); G06T 15/10 (2011.01); G06T 17/00 (2006.01); G06V 10/24 (2022.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 20/50 (2022.01); G06T 3/18 (2024.01); G06T 15/06 (2013.01); G06T 15/10 (2013.01); G06T 17/00 (2013.01); G06V 10/24 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 20/70 (2022.01); G06T 2200/08 (2013.01);
Abstract

In an implementation, a set of images of a vehicle, is captured as a captured set of images, where the set of images are captured from different viewpoints around the vehicle. The captured set of images are organized. The captured set of images are mapped, as a mapped image set, using an image classification model. The mapped image is aligned, as an aligned image set, onto a three-dimensional vehicle model for the vehicle. Image-level damage detection is performed on each image in the aligned image set to estimate a damage probability for each pixel in each image. Part damage and severity is predicted for each image.


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