Enhanced automotive passive entry

US10285013B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10285013-B2
Application numberUS-201815894774-A
CountryUS
Kind codeB2
Filing dateFeb 12, 2018
Priority dateFeb 10, 2017
Publication dateMay 7, 2019
Grant dateMay 7, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for determining a location of a mobile device relative to the vehicle. Such a hybrid approach can provide various advantages. Existing magnetic coils on a mobile device (e.g., for charging or communication) may be re-used for distance measurements that are supplemented by the RF measurements. Any device antenna may provide measurements to a machine learning model that determines a region in which the mobile device resides, based on training measurements in the regions.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of enabling an operation by a vehicle involving a mobile device, the method comprising: receiving a first set of signal values measured using one or more device radiofrequency (RF) antennas of the mobile device, the first set of signal values providing one or more first signal properties of signals in a first frequency range emitted from one or more vehicle RF antennas of the vehicle, wherein the one or more first signal properties of a signal change with respect to a distance between a device RF antenna that received the signal and a vehicle RF antenna that emitted the signal; receiving a second set of signal values measured using one or more device magnetic antennas of the mobile device, the second set of signal values providing one or more second signal properties of signals in a second frequency range lower than the first frequency range emitted from one or more vehicle magnetic antennas of the vehicle, wherein the one or more second signal properties of a signal change with respect to a distance between a device magnetic antenna that received the signal and a vehicle magnetic antenna that emitted the signal; determining a location of the mobile device relative to the vehicle using the one or more first signal properties of the first set of signal values and the one or more second signal properties of the second set of signal values that change with respect to a relative distance between the mobile device and the vehicle; and providing the location of the mobile device relative to the vehicle to a control unit of the vehicle, thereby enabling the control unit to perform a prescribed operation of the vehicle based on the location of the mobile device relative to the vehicle. 2. The method of claim 1 , further comprising: receiving an orientation measured using a sensor of the mobile device; and using the orientation to determine a correspondence of distance between a respective device magnetic antenna and a respective vehicle magnetic antenna. 3. The method of claim 1 , wherein the location of the mobile device is determined using the first set of signal values measured using the one or more device RF antennas at a first time when the mobile device is outside of the vehicle, and wherein the location of the mobile device is determined using the second set of signal values measured using the one or more device magnetic antennas at a second time when the mobile device is inside of the vehicle. 4. The method of claim 1 , wherein determining the location of the mobile device relative to the vehicle includes: storing a model that determines the location of the mobile device relative to the vehicle based on the one or more first signal properties and the one or more second signal properties; and providing the first set of signal values and the second set of signal values to the model to obtain the location of the mobile device relative to the vehicle. 5. The method of claim 4 , wherein the model is a machine learning model that classifies a location of the mobile device relative to the vehicle as being within a region of a set of pre-defined regions based on the one or more first signal properties and the one or more second signal properties, the set of pre-defined regions including a first subset of one or more regions outside the vehicle and a second subset of one or more regions outside the vehicle, the machine learning model being trained using various sets of signal values measured at locations across the set of pre-defined regions; and wherein the location of the mobile device relative to the vehicle corresponds to a current classification of a particular region within which the mobile device is currently located. 6. A method for enabling an operation by a vehicle involving a mobile device, the method comprising: receiving a set of signal values measured using one or more device antennas of the mobile device, the set of signal values providing one or more signal properties of signals from a plurality of vehicle antennas having various locations in the vehicle, wherein the one or more signal properties of a signal change with respect to a distance between a device antenna of the mobile device that received the signal and a vehicle antenna that emitted the signal; storing a machine learning model that classifies a location of the mobile device as being within a region of a set of pre-defined regions in a vicinity of the vehicle based on the one or more signal properties of the signals from the plurality of vehicle antennas, the set of pre-defined regions including a first subset of one or more regions outside the vehicle and a second subset of one or more regions outside the vehicle, the machine learning model being trained using various sets of signal values measured at various locations across the set of pre-defined regions; providing the set of signal values to the machine learning model to obtain a current classification of a particular region of the set of pre-defined regions within which the mobile device is currently located; and providing the particular region to a control unit of the vehicle, thereby enabling the control unit to perform a prescribed operation of the vehicle. 7. The method of claim 6 , further comprising: receiving one or more other values measured by the mobile device, the one or more other values providing one or more physical properties of the mobile device, wherein the machine learning model is trained using the one or more physical properties; and providing the one or more other values to the machine learning model to obtain the current classification of the particular region within which the mobile device is currently located. 8. The method of claim 6 , wherein the method is performed by the mobile device, the method further comprising: measuring the signal values using the mobile device. 9. The method of claim 6 , wherein the method is performed by a computer of the vehicle. 10. The method of claim 6 , wherein the one or more signal properties include a signal strength, a time-of-flight value, or both. 11. The method of claim 6 , further comprising: determining the location of the mobile device relative to the vehicle at a plurality of times, thereby obtaining a plurality of locations of the mobile device outside the vehicle; and providing the plurality of locations or a difference in the plurality of locations to the control unit of the vehicle, thereby enabling the control unit to perform a preparatory operation of the vehicle based on a motion of the mobile device toward the vehicle. 12. The method of claim 6 , wherein the one or more device antennas of the mobile device include one or more radiofrequency (RF) antennas, include one or more magnetic antennas, or include one or more RF antennas and one or more magnetic antennas. 13. The method of claim 12 , wherein the one or more device antennas of the mobile device include one or more RF antennas and one or more magnetic antennas, wherein the one or more RF antennas operate within a range of 3.1 GHz to 10.6 GHz, and wherein the one or more magnetic antennas operate within a range of 100 kHz to 900 kHz. 14. The method of claim 1 , wherein determining the location of the mobile device relative to the vehicle comprises: determining a respective first distance between a respective device RF antenna and a respective vehicle RF antenna using the one or more first signal properties of the first set of signal values; determining a respective second distance between a respective magnetic antenna and a respective vehicle magnetic antenna using the one or more second signal properties of the second set of signal valu

Assignees

Inventors

Classifications

  • the pass containing active electronic elements, e.g. smartcards · CPC title

  • Mobile phones · CPC title

  • using electronic identifiers containing a code not memorised by the user · CPC title

  • H04W4/023Primary

    using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title

  • Physics · mapped topic

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Frequently asked questions

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What does patent US10285013B2 cover?
Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for de…
Who is the assignee on this patent?
Apple Inc
What technology area does this patent fall under?
Primary CPC classification H04W4/023. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue May 07 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).