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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 12046131 B1

PDFFull Text
Date of Patent:
Jul. 23, 2024

Filed:

Oct. 16, 2019

Autonomous vehicle planning and prediction

Applicant:

Five Ai Limited, Bristol, GB;

Inventors:

Subramanian Ramamoorthy, Edinburgh, GB;

Simon Lyons, Edinburgh, GB;

Svetlin Valentinov Penkov, Edinburgh, GB;

Morris Antonello, Edinburgh, GB;

Assignee:

Five AI Limited, Cambridge, GB;

Attorneys:

Andrew J. Tibbetts

Samuel S. Stone

Greenberg Traurig, LLP

Primary Examiner:

Yonel Beaulieu

Int. Cl.
CPC ...
G08G 1/16 (2006.01); B60W 40/04 (2006.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); G05B 13/00 (2006.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G06F 18/20 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06T 7/20 (2017.01); G06V 10/84 (2022.01); G06V 20/54 (2022.01); G06V 20/56 (2022.01); G08G 1/00 (2006.01); G08G 1/01 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G08G 1/0116 (2013.01); B60W 40/04 (2013.01); B60W 50/0097 (2013.01); B60W 60/0013 (2020.02); B60W 60/0015 (2020.02); B60W 60/0027 (2020.02); G05B 13/027 (2013.01); G05B 13/04 (2013.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/295 (2023.01); G06N 3/045 (2023.01); G06T 7/20 (2013.01); G06V 10/84 (2022.01); G06V 20/54 (2022.01); G06V 20/56 (2022.01); G08G 1/0129 (2013.01); H04N 7/183 (2013.01); B60W 2540/30 (2013.01); B60W 2554/4046 (2020.02); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30236 (2013.01); G06T 2207/30241 (2013.01);
Abstract

A computer-implemented method of predicting an external actor trajectory comprises receiving, at a computer, sensor inputs for detecting and tracking an external actor; applying object tracking to the sensor inputs, in order track the external actor, and thereby determine an observed trace of the external actor over a time interval; determining a set of available goals for the external actor; for each of the available goals, determining an expected trajectory model; and comparing the observed trace of the external actor with the expected trajectory model for each of the available goals, to determine a likelihood of that goal.

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