Patent ID: 11885637
Assignee: HERE GLOBAL B.V.
Field: Measurement (Instruments)
Classification: CPC G  H | IPC G  H

Claim 5:
6. A method for predicting a map object in real time based at least in part on audio data, the method comprising:
obtaining the audio data created by a plurality of vehicles while driving over a road surface and interacting with a map object and an indication of a speed of the plurality of vehicles, wherein the audio data comprises one or more audio frequency features and is obtained by one or more audio sensors, wherein the one or more audio frequency features represent a change in frequency relative to a prominent frequency, the prominent frequency determined based at least in part upon the speed of each respective vehicle;
obtain a class of each of the plurality of vehicles driving over the road surface;
providing the audio data including the one or more audio frequency features, the speed of each representative vehicle, class of each vehicle driving over the road surface, and the map object interacted with by each vehicle to train a plurality of machine learning models;
providing additional data from one or more vehicles not included in the plurality of vehicles, wherein the additional data includes audio data including one or more audio amplitude features, speed of the one or more vehicles, and class of the one or more vehicles driving over a road surface determining which of the plurality of machine learning models predicts the map object that creates the audio data with the greatest accuracy; and
predicting in real time an unknown map object that created audio data while the additional vehicle interacted therewith utilizing the most accurate trained machine learning model, wherein the prediction is based upon at least audio data, the class of the additional vehicle, and the speed of the additional vehicle.