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. 23, 2024

Filed:

Jul. 23, 2021
Applicant:

Rivian Ip Holdings, Llc, Plymouth, MI (US);

Inventors:

Akshay Arvind Velankar, San Jose, CA (US);

Vikram Appia, San Jose, CA (US);

Assignee:

Rivian IP Holdings, LLC, Plymouth, MI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06N 3/08 (2023.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06N 3/08 (2013.01); G06T 7/70 (2017.01); B60W 2420/403 (2013.01); B60W 2552/20 (2020.02); B60W 2554/4049 (2020.02); G06T 2210/12 (2013.01);
Abstract

Systems and methods for determining the drivable space of a road, for applications such as autonomous navigation. To determine the non-drivable space under another vehicle, systems and methods of embodiments of the disclosure generate 3D bounding boxes from 2D bounding boxes of objects in captured roadway images, and from various geometric constraints. Image portions may be labeled as drivable or non-drivable according to projections of these 3D bounding boxes onto their road surfaces. These labeled images, along with accompanying semantic information, may be compiled to form training datasets for a machine learning model such as a CNN. The training datasets may train the CNN to classify input image portions into drivable and non-drivable space, for applications such as autonomous navigation.


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