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:
Apr. 08, 2025

Filed:

Aug. 21, 2020
Applicant:

Five Ai Limited, Bristol, GB;

Inventors:

John Redford, Cambridge, GB;

Jonathan Sadeghi, Bristol, GB;

Assignee:

Five AI Limited, Cambridge, GB;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2024.01); B60W 50/00 (2006.01); B60W 50/02 (2012.01); B60W 50/04 (2006.01); B60W 50/06 (2006.01); B60W 60/00 (2020.01); G06F 30/27 (2020.01); G06N 3/02 (2006.01); G06N 3/08 (2023.01); G06N 5/025 (2023.01); G06N 7/01 (2023.01); G06N 7/02 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); B60W 50/0098 (2013.01); B60W 50/0205 (2013.01); B60W 50/045 (2013.01); B60W 50/06 (2013.01); B60W 60/001 (2020.02); B60W 60/0015 (2020.02); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06N 3/08 (2013.01); G06N 5/025 (2013.01); G06N 7/01 (2023.01); G06N 7/023 (2013.01); G06N 20/00 (2019.01); B60W 2050/0052 (2013.01); B60W 2050/0215 (2013.01); B60W 2555/20 (2020.02);
Abstract

Herein, a 'perception statistical performance model' (PSPM) for modelling a perception slice of a runtime stack for an autonomous vehicle or other robotic system may be used e.g. for safety/performance testing. A PSPM is configured to: receive a computed perception ground truth; determine from the perception ground truth, based on a set of learned parameters, a probabilistic perception uncertainty distribution, the parameters learned from a set of actual perception outputs generated using the perception slice to be modelled. The modelled perception slice includes an online error estimator, and the computer system is configured to use the PSPM to obtain a predicted online error estimate for the perception output in response to the perception ground truth. This recognizes that online perception error estimates may, themselves, be subject to error.


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