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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 12039860 B1

PDFFull Text
Date of Patent:
Jul. 16, 2024

Filed:

Oct. 16, 2019

Driving scenarios for autonomous vehicles

Applicant:

Five Ai Limited, Bristol, GB;

Inventors:

Subramanian Ramamoorthy, Edinburgh, GB;

Majd Hawasly, Edinburgh, GB;

Francisco Eiras, Edinburgh, GB;

Morris Antonello, Edinburgh, GB;

Simon Lyons, Edinburgh, GB;

Rik Sarkar, Edinburgh, GB;

Assignee:

Five AI Limited, Cambridge, GB;

Attorneys:

Andrew J. Tibbetts

Samuel S. Stone

Greenberg Traurig, LLP

Primary Examiner:

Todd Melton

Int. Cl.
CPC ...
G08G 1/01 (2006.01); B60W 40/04 (2006.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); 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 3/045 (2023.01); G06T 7/20 (2017.01); G06V 10/84 (2022.01); G06V 20/54 (2022.01); G06V 20/56 (2022.01); 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

One aspect herein provides a method of analysing driving behaviour in a data processing computer system, the method comprising: receiving at the data processing computer system driving behaviour data to be analysed, wherein the driving behaviour data records vehicle movements within a monitored driving area; analysing the driving behaviour data to determine a normal driving behaviour model for the monitored driving area; using object tracking to determine driving trajectories of vehicles driving in the monitored driving area; comparing the driving trajectories with the normal driving behaviour model to identify at least one abnormal driving trajectory; and extracting a portion of the driving behaviour data corresponding to a time interval associated with the abnormal driving trajectory.

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