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:
Jul. 09, 2024

Filed:

Jun. 13, 2022
Applicant:

Luminar Technologies, Inc., Orlando, FL (US);

Inventors:

Vahid R. Ramezani, Los Altos, CA (US);

Akshay Rangesh, San Diego, CA (US);

Benjamin Englard, Palo Alto, CA (US);

Siddhesh S. Mhatre, Foster City, CA (US);

Meseret R. Gebre, Palo Alto, CA (US);

Pranav Maheshwari, Palo Alto, CA (US);

Assignee:

Luminar Technologies, Inc., Orlando, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06N 3/044 (2023.01); G06N 3/08 (2023.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06T 7/246 (2017.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G06T 7/73 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A sequence of images generated at respective times by one or more sensors configured to sense an environment through which objects are moving relative to the one or more sensors is received. A message passing graph having a multiplicity of layers associated with the sequence of images is constructed. A neural network supported by the message passing graph is trained. The training includes performing a pass through the message passing graph in a forward direction including by adding a new feature node based on a feature detection and a new edge node and performing a pass through the message passing graph in a backward direction, including by updating at least one edge node of the message passing graph. Multiple features are tracked through the sequence of images, including passing messages through the message passing graph.


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