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:
Mar. 28, 2023

Filed:

Sep. 15, 2020
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Vitor Guizilini, Santa Clara, CA (US);

Igor Vasiljevic, Los Altos, CA (US);

Rares A. Ambrus, San Francisco, CA (US);

Sudeep Pillai, Los Altos, CA (US);

Adrien Gaidon, Los Altos, CA (US);

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 7/70 (2017.01); G01C 21/00 (2006.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/55 (2017.01); G01C 21/3837 (2020.08); G06T 7/70 (2017.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0223 (2013.01); G05D 1/0251 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Systems and methods for map construction using a video sequence captured on a camera of a vehicle in an environment, comprising: receiving a video sequence from the camera, the video sequence including a plurality of image frames capturing a scene of the environment of the vehicle; using a neural camera model to predict a depth map and a ray surface for the plurality of image frames in the received video sequence; and constructing a map of the scene of the environment based on image data captured in the plurality of frames and depth information in the predicted depth maps.


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