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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.

Patent No.:

US 11753046 B1

PDFFull Text
Date of Patent:
Sep. 12, 2023

Filed:

Sep. 07, 2021

System and method of predicting human interaction with vehicles

Applicant:

Perceptive Automata Inc., Boston, MA (US);

Inventors:

Samuel English Anthony, Cambridge, MA (US);

Kshitij Misra, Cambridge, MA (US);

Avery Wagner Faller, Cambridge, MA (US);

Assignee:

PERCEPTIVE AUTOMATA, INC., Boston, MA (US);

Attorney:

FENWICK & WEST LLP

Primary Examiner:

Charlotte M Baker

Int. Cl.
CPC ...
G06N 3/08 (2023.01); B60W 60/00 (2020.01); G06N 3/04 (2023.01); G08G 1/16 (2006.01); G08G 1/04 (2006.01); G05D 1/00 (2006.01); B60W 30/00 (2006.01); G06N 3/084 (2023.01); G06V 20/40 (2022.01); G06V 20/58 (2022.01); G06V 40/20 (2022.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01); G06V 10/778 (2022.01); G06N 20/10 (2019.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
B60W 60/00274 (2020.02); B60W 30/00 (2013.01); G05D 1/0088 (2013.01); G06F 18/214 (2023.01); G06F 18/41 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06V 10/7784 (2022.01); G06V 20/41 (2022.01); G06V 20/58 (2022.01); G06V 40/20 (2022.01); G08G 1/04 (2013.01); G08G 1/166 (2013.01); G05D 2201/0213 (2013.01); G06N 5/01 (2023.01); G06N 20/10 (2019.01);
Abstract

Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

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