US 12,377,866 B1
Processing predicted input data in an autonomous vehicle
John Hayes, Mountain View, CA (US); Volkmar Uhlig, Cupertino, CA (US); and Nima Soltani, Los Gatos, CA (US)
Assigned to Applied Intuition, Inc., Mountain View, CA (US)
Filed by Applied Intuition, Inc., Mountain View, CA (US)
Filed on May 8, 2023, as Appl. No. 18/313,904.
Application 18/313,904 is a continuation of application No. 16/906,752, filed on Jun. 19, 2020, granted, now 11,691,637.
This patent is subject to a terminal disclaimer.
Int. Cl. B60W 50/02 (2012.01); B60W 60/00 (2020.01); G05D 1/00 (2006.01); G06F 11/07 (2006.01); G06N 5/04 (2023.01)
CPC B60W 50/0205 (2013.01) [B60W 60/001 (2020.02); G05D 1/0088 (2013.01); G06F 11/0739 (2013.01); G06F 11/0751 (2013.01); G06F 11/0793 (2013.01); G06N 5/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving input data for a model, wherein the model comprises a machine learning model;
determining whether the input data for the model comprises an indication that the input data was generated based on some amount of predicted data;
generating, by the model and based on the input data, output data by modifying, in response to the input data comprising the indication, one or more thresholds or one or more confidence scores of the model used in generating the output data; and
causing an autonomous vehicle to perform one or more driving decisions based on the output data of the model.