US 12,035,204 B2
Systems and methods for determining an actual driver of a vehicle based at least in part upon telematics data
Kenneth Jason Sanchez, San Francisco, CA (US)
Assigned to BLUEOWL, LLC, San Francisco, CA (US)
Filed by BlueOwl, LLC, San Francisco, CA (US)
Filed on Mar. 14, 2022, as Appl. No. 17/694,291.
Application 17/694,291 is a continuation of application No. 16/736,032, filed on Jan. 7, 2020, granted, now 11,297,465.
Prior Publication US 2022/0201437 A1, Jun. 23, 2022
Int. Cl. H04W 48/04 (2009.01); H04W 4/00 (2018.01); H04W 4/02 (2018.01); H04W 4/029 (2018.01); H04W 4/40 (2018.01)
CPC H04W 4/029 (2018.02) [H04W 4/023 (2013.01); H04W 4/40 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A computing device for driver identification, the computing device comprising one or more processors and configured to:
receive a first plurality of measurements collected by a first user device during a vehicle trip, each measurement of the first plurality of measurements including a first measured geographic location and first telematics data corresponding to the first measured geographic location;
receive a second plurality of measurements collected by a second user device during the vehicle trip, each measurement of the second plurality of measurements including a second measured geographic location and second telematics data corresponding to the second measured geographic location;
determine, using deep learning algorithms of a trained machine learning model, patterns in the first and the second telematics data by using pattern recognition;
determine relative positions of the first user device and the second user device in a vehicle using the patterns in the first and the second telematics data;
apply a filter to the first plurality of measurements and the second plurality of measurements to calculate respective geographic locations for the first user device and the second user device;
determine a distance vector between the first user device and the second user device based at least in part on the respective geographic locations;
determine a predicted position of the second user device relative to the first user device based on the relative positions, the respective geographic locations, and with respect to a forward direction of travel of the vehicle based at least in part upon the distance vector; and
identify that the first user device or the second user device corresponds to a user device associated with a driver of the vehicle based at least in part upon the predicted position of the second user device relative to the first user device.