US 12,377,862 B2
Data driven customization of driver assistance system
Kshitij Tukaram Kumbar, Fremont, CA (US); Sharath Avadhanam, Milpitas, CA (US); and Jinwoo Lee, Hayward, CA (US)
Assigned to Atieva, Inc., Newark, CA (US)
Filed by Atieva, Inc., Newark, CA (US)
Filed on Mar. 30, 2023, as Appl. No. 18/193,219.
Claims priority of provisional application 63/373,659, filed on Aug. 26, 2022.
Prior Publication US 2024/0067187 A1, Feb. 29, 2024
Int. Cl. B60W 50/00 (2006.01); B60W 40/12 (2012.01)
CPC B60W 40/12 (2013.01) [B60W 2554/4045 (2020.02)] 23 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving first telemetry data generated by sensors of respective first vehicles in a fleet;
projecting the received first telemetry data into an abstract space, wherein projecting the received first telemetry data into the abstract space comprises combining first and second values having different physical units with each other to form a third value;
clustering the first telemetry data into groups, each of the groups representing a profile of one or more first drivers of the first vehicles in the fleet;
receiving second telemetry data generated by sensors of a second vehicle controlled by a second driver;
associating the second driver with a first group of the groups by classifying the received second telemetry data;
providing a subset of the first telemetry data corresponding to the first group as a baseline dataset for training of machine learning algorithms;
generating baseline tuning parameter values using the trained machine learning algorithms; and
providing the baseline tuning parameter values to a driver assistance system of a third vehicle controlled by the second driver.