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:
Jun. 28, 2022

Filed:

Jul. 30, 2019
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Samuel Schulter, Santa Clara, CA (US);

Ziyan Wang, Pittsburgh, PA (US);

Buyu Liu, Cupertino, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); B60R 11/04 (2006.01); G05D 1/02 (2020.01); G06N 3/02 (2006.01); G06V 20/56 (2022.01); H04N 5/32 (2006.01); B60W 50/14 (2020.01); B60W 60/00 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06V 10/82 (2022.01); H04N 5/232 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6277 (2013.01); B60R 11/04 (2013.01); G05D 1/0251 (2013.01); G06N 3/02 (2013.01); G06V 20/56 (2022.01); H04N 5/23238 (2013.01); B60R 2300/107 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for implementing parametric models for scene representation to improve autonomous task performance includes generating an initial map of a scene based on at least one image corresponding to a perspective view of the scene, the initial map including a non-parametric top-view representation of the scene, implementing a parametric model to obtain a scene element representation based on the initial map, the scene element representation providing a description of one or more scene elements of the scene and corresponding to an estimated semantic layout of the scene, identifying one or more predicted locations of the one or more scene elements by performing three-dimensional localization based on the at least one image, and obtaining an overlay for performing an autonomous task by placing the one or more scene elements with the one or more respective predicted locations onto the scene element representation.


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