US 11,699,306 B2
Method and system for vehicle speed estimation
Sushrut Karnik, Somerville, MA (US); Burak Erem, Needham, MA (US); Yuting Qi, Lexington, MA (US); Sanujit Sahoo, Boston, MA (US); and Harrison Kitchen, Lexington, MA (US)
Assigned to Cambridge Mobile Telematics, Inc., Cambridge, MA (US)
Filed by CAMBRIDGE MOBILE TELEMATICS INC., Cambridge, MA (US)
Filed on Aug. 14, 2020, as Appl. No. 16/994,232.
Claims priority of provisional application 62/888,182, filed on Aug. 16, 2019.
Prior Publication US 2021/0049837 A1, Feb. 18, 2021
Int. Cl. G07C 5/00 (2006.01); G01P 15/08 (2006.01); G01P 15/18 (2013.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G07C 5/02 (2006.01)
CPC G07C 5/008 (2013.01) [G01P 15/08 (2013.01); G01P 15/18 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G07C 5/02 (2013.01); G07C 2205/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period;
converting the set of sensor measurements into a frequency domain using a Fourier transform;
filtering, using a digital bandpass filter implemented in hardware or software of the mobile device or a server, the set of sensor measurements to eliminate high frequency sensor measurements from the set of sensor measurements;
defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements, each contiguous window of the set of contiguous windows representing a contiguous portion of the remaining sensor measurements in the set of sensor measurements;
generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies;
generating an estimated speed of the vehicle during the first time period by executing a trained neural network using the set of features;
generating a vehicle crash prediction using the estimated speed; and
transmitting, to a remote device, the vehicle crash prediction.