METHOD, DEVICE AND SYSTEM FOR DETERMINING AN INDOOR POSITION
The disclosure relates to a method for determining an indoor position of a moving object. The method includes using a first location determination method for determining first position data; using at least a second location determination method for determining second position data; and deriving a position of the moving object by combining first and second position data gathered from both systems.
1 . A method for determining an indoor position of a moving object, the method comprising:
determining first position data using a first location determination method;
determining second position data using at least a second location determination method; and
deriving a position of the moving object by combining the first position data and the second position data.
2 . The method of claim 1 , wherein the first location determination method provides a high accuracy for at least a predetermined first time span,
wherein the second location determination method provides a high accuracy for a second time span, and
wherein the second time span is shorter than the first time span, or/and
wherein a calibration of the second location determination method is performed by using data from the first location determination method.
3 . The method of claim 1 , wherein the first location determination method is based on radio signals.
4 . The method of claim 1 , wherein the second location determination method is based on a trajectory determination of the moving object.
5 . The method of claim 4 , wherein trajectory detection signals from at least one of the following sensors are used: a step count detector; an accelerometer; a magnetometer; gyroscope; a light sensor; and an audio sensor.
6 . claims The method of claim 1 , wherein the deriving of the position of the moving object comprises:
transmitting at least one of the first position data or second position data to a computational device for performing computational complex operations;
receiving the transformed position data; and
deriving the position of the moving object.
7 . The method of claim 1 , wherein a Kalman filter is used when combining the first position data and the second position data.
8 . The method of claim 1 , wherein a particle filter is applied for treatment of the first position data, the second position data, or both the first position data and the second position data.
9 . The method of claim 1 , wherein at least one further location determination method providing further position data is used for the deriving of the position of the moving object.
10 . A device for determining an indoor position of a moving object, the device comprising:
a first interface configured to receive first position data from a first location determination method;
a second interface configured to receive second position data from a second location determination method; and
a third interface for transmitting data from or to a computational device, which is arranged such that a position of a moving object is derived by combining the first position data and the second position data.
11 . The device of claim 10 , wherein the third interface is a device internal interface to a device processing unit or is an interface to an external computational device.
12 . The device of claim 10 , wherein the device is a portable computer.
13 . A system comprising:
a radio beacon configured to provide a radio signal; and
a device for determining an indoor position of a moving object, wherein the device comprises:
a first interface configured to receive first position data from a first location determination method, wherein the first location determination method is based on the radio signal from the radio beacon;
a second interface configured to receive second position data from a second location determination method; and
a third interface for transmitting data from or to a computational device, which is arranged such that a position of a moving object is derived by combining the first position data and the second position data.
14 .- 15 . (canceled)
16 . The method of claim 2 , wherein the data for the calibration is the first position data.
17 . The method of claim 3 , wherein the radio signals are low energy Bluetooth signals.
18 . The method of claim 4 , wherein the trajectory determination of the moving object comprises a combination of a distance determination method and an orientation determination method.
19 . The device of claim 11 , wherein the interface is an interface for wireless transmission over the Internet.
20 . The device of claim 12 , wherein the portable computer is a smartphone or a smart watch.