US 12,187,301 B2
Distributed learning to learn context-specific driving patterns
Nageen Himayat, Fremont, CA (US); Maruti Gupta Hyde, Portland, OR (US); Ravikumar Balakrishnan, Beaverton, OR (US); Mustafa Akdeniz, San Jose, CA (US); and Marcin Spoczynski, Leixlip (IE)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Dec. 23, 2020, as Appl. No. 17/133,125.
Prior Publication US 2021/0188306 A1, Jun. 24, 2021
Int. Cl. G06N 20/00 (2019.01); B60W 50/06 (2006.01); B60W 60/00 (2020.01); G06N 5/04 (2023.01); G06V 10/764 (2022.01); G06F 18/214 (2023.01); G06V 20/56 (2022.01)
CPC B60W 50/06 (2013.01) [B60W 60/00 (2020.02); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2420/54 (2013.01); B60W 2556/65 (2020.02); G06F 18/214 (2023.01); G06V 20/56 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A system comprising:
one or more computer processors;
one or more computer memories, and
a set of instructions incorporated into the one or more computer memories, the set of instructions configuring the one or more computer processors to perform operations comprising:
generating, at a vehicle, an artificial intelligence (AI) model specific to a context of an operation of the vehicle, the context including a location or a type of the location where the vehicle travels, the generating based on training data collected from one or more sensors of the vehicle while the vehicle was present at the location or the type of the location;
in response to a detection that the vehicle is within a proximity to a road side unit (RSU) associated with the location or the type of the location or that the vehicle is within a proximity to an additional vehicle that is at least anticipated to be present at the location or the type of the location, causing an AI model transmission to the RSU or the additional vehicle or causing an AI model reception from the RSU or from the additional vehicle; and
based on the causing of the AI model transmission or the AI model reception, causing deployment of an additional AI model in the vehicle, the deployment causing the vehicle to use the additional AI model to optimize the vehicle for the location or the type of the location without aggregating the AI model with the additional AI model.