Autonomous delivery to a dynamic location
US-2024386366-A1 · Nov 21, 2024 · US
US9544733B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9544733-B2 |
| Application number | US-201414255266-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 17, 2014 |
| Priority date | Apr 30, 2013 |
| Publication date | Jan 10, 2017 |
| Grant date | Jan 10, 2017 |
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Official abstract text for this publication.
This method of detection of a mobile device location, comprises the steps of: building sound datasets associated with respective candidate locations, each dataset storing a plurality of sounds already captured in the associated candidate location; capturing at least one surrounding sound; comparing the captured surrounding sound with the stored sounds within the sound datasets; identifying the mobile device location on the basis of the comparison result; and sharing at least one built dataset with at least another user.
Opening claim text (preview).
The invention claimed is: 1. A method of detection of a location of a mobile device belonging to a community of mobile devices, said method comprising: building sound datasets, where each sound dataset is stored in a memory according to a respective candidate location and includes at least six captured sounds, wherein before each captured sound is added to the sound datasets: determination is made whether the sound is already present in the sound datasets, when the sound is not already present, the user of the mobile device is asked whether to keep or ignore the sound, when the user keeps the sound, the user provides a label associated with the respective candidate location to be added to the sound, and the sound is stored in one of the sound datasets according to the label and the respective candidate location in the memory; determining an approximate location of the mobile device using GPS (global positioning system) and populating a list of candidate locations for the mobile device; capturing at least one surrounding sound; comparing the captured at least one surrounding sound with the sounds within the sound datasets corresponding to the list of candidate locations; identifying the mobile device location as a candidate location from the list of candidate locations having a highest number of sounds similar to the at least one captured surrounding sound on the basis of the comparison result, said number being at least equal to a threshold; and sharing at least one of the stored sound datasets with at least one other mobile device belonging to the same community. 2. The method of claim 1 , wherein the mobile device comprises a microphone for capturing the at least one surrounding sound. 3. The method of claim 1 , wherein the mobile device location is one of a fixed location and a moving location. 4. The method of claim 1 , wherein the number of stored sounds in each dataset is equal to ten. 5. The method of claim 1 , comprising uploading at least one built sound dataset on a remote server for storage. 6. The method of claim 5 , wherein the remote server is a cloud storage server. 7. An apparatus for detection of a mobile device location, comprising: a memory for storing sound datasets, each sound dataset stored according to a respective candidate location and storing at least six captured sounds, wherein before each captured sound is added to the sound datasets: determination is made whether the sound is already present in the sound datasets, when the sound is not already present, the user of the mobile device is asked whether to keep or ignore the sound, when the user keeps the sound, the user provides a label associated with the respective candidate location to be added to the sound, and the sound is stored in one of the sound datasets according to the label and the respective candidate location in the memory; a sensor for capturing at least one surrounding sound; a processor for determining an approximate location of the mobile device using GPS (global positioning system) and populating a list of candidate locations for the mobile device, comparing the captured surrounding sound with the stored sounds within the sound datasets corresponding to the list of candidate locations, and identifying the mobile device location as a candidate location from the list of candidate locations having a highest number of sounds similar to the at least one captured surrounding sound on the basis of the comparison result, said number being at least equal to a threshold; and a connector for connecting to a network, said connector enabling sharing at least one stored dataset with at least another user. 8. The apparatus of claim 7 , further comprising a microphone. 9. The apparatus of claim 7 , wherein said apparatus is the mobile device. 10. A non-transitory computer-readable program medium comprising computer-executable instructions to enable a computer to perform the method of claim 1 .
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