The occupancy status of a vehicle 100 is determined by receiving audio data 201-1..r from distributed microphones 320-1..r, generating a frequency distribution spectrogram for each audio data over a time window (eg. p FFT’d sliding windows), inputting these spectra into a classification model (eg. an artificial neural network comprising a head sub-network for each location with weighted connection nodes) to classify an occupancy status at each discrete location i=1..N in the vehicle (eg. seats, trunk, footwells) as one of a predetermined set of occupancy types j=1..M (eg. empty, adult, child, dog, cat) and outputting values Oij indicating a probability of the occupancy of location i being of type j, fur use by the vehicle control system. Visual data for each location Vij may also be input to the classification.


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    Title :

    Occupancy status detection for a vehicle


    Contributors:

    Publication date :

    2024-12-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G10L Analyse oder Synthese von Sprache , SPEECH ANALYSIS OR SYNTHESIS / B60N SEATS SPECIALLY ADAPTED FOR VEHICLES , Sitze besonders für Fahrzeuge ausgebildet



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