US 12,128,840 B2
Methods and systems for point of impact detection
Yuting Qi, Lexington, MA (US); Rizki Syarif, Lexington, MA (US); Edward J. Gramer, Dover, MA (US); and Cornelius F. Young, Needham, MA (US)
Assigned to Cambridge Mobile Telematics Inc., Cambridge, MA (US)
Filed by Cambridge Mobile Telematics Inc., Cambridge, MA (US)
Filed on Nov. 28, 2023, as Appl. No. 18/522,009.
Application 18/522,009 is a continuation of application No. 17/506,566, filed on Oct. 20, 2021, granted, now 11,884,225.
Claims priority of provisional application 63/165,659, filed on Mar. 24, 2021.
Claims priority of provisional application 63/159,948, filed on Mar. 11, 2021.
Claims priority of provisional application 63/094,824, filed on Oct. 21, 2020.
Prior Publication US 2024/0092300 A1, Mar. 21, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. B60R 21/0132 (2006.01); G06N 3/08 (2023.01); G08G 1/01 (2006.01)
CPC B60R 21/01338 (2014.12) [G06N 3/08 (2013.01); G08G 1/0112 (2013.01); G08G 1/0133 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a first set of sensor measurements from one or more sensors of a mobile device positioned within a vehicle, wherein the one or more sensors of the mobile device comprise an accelerometer sensor and a global positioning service (GPS) sensor, and wherein sensor measurements of the first set of sensor measurements are associated with a collision of the vehicle;
generating a crash feature vector from the first set of sensor measurements;
executing a machine learning model using the crash feature vector to generate one or more outputs that are partially indicative of a point-of-impact of the collision;
generating, from the one or more outputs of the machine learning model, a prediction of the point-of-impact of the collision on the vehicle; and
transmitting an indication of the point-of-impact to a remote device.