US 12,354,418 B2
Determining a location of a squeak or rattle associated with a vehicle
Mark Bailey, Seattle, WA (US); Erik St. Gray, Tacoma, WA (US); Kevin Kochever, San Bruno, CA (US); and Stefan Witwicki, San Carlos, CA (US)
Assigned to Nissan North America, Inc., Franklin, TN (US)
Filed by Nissan North America, Inc., Franklin, TN (US)
Filed on Nov. 30, 2022, as Appl. No. 18/060,369.
Prior Publication US 2024/0177545 A1, May 30, 2024
Int. Cl. G07C 5/08 (2006.01); H04R 1/08 (2006.01); H04R 1/40 (2006.01); H04R 3/00 (2006.01)
CPC G07C 5/0825 (2013.01) [G07C 5/0808 (2013.01); H04R 1/08 (2013.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); H04R 2201/401 (2013.01); H04R 2499/13 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
detecting, using a set of one or more microphones, a sound associated with a vehicle;
analyzing, using one or more machine learning models, to determine whether the sound associated with the vehicle is a squeak or a rattle, wherein at least one of the one or more machine learning models is trained using a plurality of sounds emitted in relation to one or more vehicles;
determining, using the one or more machine learning models, a location associated with the squeak or the rattle;
maintaining a count of detection of the squeak or the rattle at the location; and
triggering an action when the count of detections at the location exceeds a minimum threshold, wherein the action comprises outputting an alert to a human machine interface in the vehicle that instructs an occupant to stop the vehicle, lower a speed of the vehicle, or service the vehicle soon, wherein the alert is displayed on a system-generated graphical user interface, indicates that the sound associated with the vehicle is the squeak or the rattle, and includes the location of the squeak or the rattle.