Occupancy status detection for a vehicle
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 (...
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| creator | Prashant Kramadhari Stefan Hoermann Ludwig Widmann |
| description | 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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| subjects | ACOUSTICS MUSICAL INSTRUMENTS PERFORMING OPERATIONS PHYSICS SEATS SPECIALLY ADAPTED FOR VEHICLES SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION TRANSPORTING VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDEDFOR VEHICLES IN GENERAL |
| title | Occupancy status detection for a vehicle |
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