Method and apparatus for determination of misalignment between device and pedestrian

Patent metadata

Field	Value
Publication number	US-10371516-B2
Application number	US-201414761156-A
Country	US
Kind code	B2
Filing date	Jan 21, 2014
Priority date	Jan 21, 2013
Publication date	Aug 6, 2019
Grant date	Aug 6, 2019

Abstract

The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device comprises a sensor assembly. The sensors in the device may be for example, accelerometers, gyroscopes, magnetometers, barometer among others. The sensors have a corresponding frame for the sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the sensor assembly in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).

First claim

The embodiments in which an exclusive property or privilege is claimed are defined as follows:

1. A method for enhancing a navigation solution of a device and a pedestrian by determining misalignment between the device and the pedestrian, wherein the misalignment is a heading misalignment angle between a heading of the device and a heading of the pedestrian, wherein the heading of the pedestrian is a pedestrian direction of motion, wherein the device comprises a tri-axial accelerometer and at least one processor, and wherein the method is operable when the device is associated with the pedestrian in a constrained manner and when the device is associated with the pedestrian in an unconstrained manner, such that the device is tiltable to any orientation, the method comprising using the at least one processor to perform the steps of:
a) calculating a plurality of levelled accelerometer readings from readings of the tri-axial accelerometer by transforming the tri-axial accelerometer readings into a levelled vertical accelerometer reading component and first and second horizontal acceleration components;
b) generating a vertical acceleration component from the levelled vertical accelerometer reading component;
c) calculating an along-track angle based at least in part on the first and second horizontal acceleration components, wherein the along-track angle is one of a forward or a backward direction of the heading misalignment angle;
d) determining a use case of the device based at least in part on the levelled acceleration components, wherein the use case of the device represents how the device is associated with the pedestrian;
e) detecting if a 180 degrees error in the calculated along-track angle is present based on the determined use case, wherein one or more techniques for detecting if the 180 degrees error is present are selected from multiple techniques based on the use case; and
f) calculating a misalignment angle from the along-track angle and, if present, the 180 degrees error.

2. The method of claim 1 , wherein calculating an along-track angle comprises applying a maximum possible variance technique on the first and second horizontal acceleration components.

3. The method of claim 1 , wherein calculating an along-track angle comprises the steps of:
a) applying a Principal Component Analysis on the first and second horizontal acceleration components;
b) calculating an along-track angle using outputs of the Principal Component Analysis; and
c) transforming the horizontal acceleration components using the along-track angle to generate an along-track acceleration component and a cross-track acceleration component;

wherein step e) of claim 1 further comprises detecting if the 180 degrees error in the along-track angle is present based on the use case, the along-track acceleration component and the vertical acceleration component.

4. The method of claim 1 , wherein calculating an along-track angle comprises the steps of:
a) applying a Principal Component Analysis on the first and second horizontal acceleration components;
b) calculating an along-track angle using outputs of the Principal Component Analysis; and
c) transforming the horizontal acceleration components using the along-track angle to generate an along-track acceleration component and a cross-track acceleration component;

wherein step e) of claim 1 further comprises detecting if the 180 degrees error in the along-track angle is present based on the use case, the along-track acceleration component and the vertical acceleration component, or declaring no decision; and
wherein step f) of claim 1 further comprises calculating the misalignment angle, in case e) does not declare no decision, from the along-track angle and, if present, the 180 degrees error.

5. The method of claim 3 , wherein the detection if a 180 degrees error is present in the along-track angle is further based on one or more of the following components selected from: the cross-track acceleration component, the magnitude of the first and second horizontal acceleration components, or the magnitude of the first and second horizontal and the vertical acceleration components.

6. The method of claim 4 , wherein if the method declares no decision, then further using buffered information to calculate the misalignment angle.

7. The method of claim 4 , wherein the detection if a 180 degrees error is present in the along-track angle is further based on one or more of the following components selected from: the cross-track acceleration component, the magnitude of the first and second horizontal acceleration components, or the magnitude of the first and second horizontal and the vertical acceleration components.

8. A device portable by a pedestrian for enhancing a navigation solution of a device and a pedestrian by determining misalignment between the device and the pedestrian, wherein the misalignment is a heading misalignment angle between a heading of the device and a heading of the pedestrian and wherein the heading of the pedestrian is a pedestrian direction of motion, the device comprising:
a) a tri-axial accelerometer; and
b) a processor, coupled to receive readings from the tri-axial accelerometer, and operative to determine the misalignment between the device and the pedestrian and wherein the processor is operable when the device is associated with the pedestrian in a constrained manner and when the device is associated with the pedestrian in an unconstrained manner, such that the device is tiltable to any orientation, wherein the processor is operative to:
i) calculate a plurality of levelled accelerometer readings from readings of the tri-axial accelerometer by transforming the tri-axial accelerometer readings into a levelled vertical accelerometer reading component and first and second horizontal acceleration components;
ii) generate a vertical acceleration component from the levelled vertical accelerometer reading component;
iii) calculate an along-track angle based at least in part on the first and second horizontal acceleration components, wherein the along-track angle is one of a forward or a backward direction of the heading misalignment angle;
iv) determine a use case of the device based at least in part on the levelled acceleration components, wherein the use case of the device represents how the device is associated with the pedestrian;
v) determine if a 180 degrees error in the calculated along-track angle is present based on the determined use case, wherein one or more techniques for determining if the 180 degrees error is present are selected from multiple techniques based on the use case; and
vi) calculate a misalignment angle from the along-track angle and, if present, the 180 degrees error.

9. The device of claim 8 , wherein the processor is operative to calculate an along-track angle by applying a maximum possible variance technique on the first and second acceleration components.

10. The method of any one of claim 2 , 3 , 4 , 5 , 6 , or 7 , wherein the method further comprises at least one of: i) enhancing the misalignment angle using self-contained information; ii) enhancing the calculated misalignment angle from absolute navigational information; and iii) calculating a standard deviation for the calculated misalignment angle.

Assignees

• Trusted Positioning Inc
• Invensense Inc

Inventors

• Ali Abdelrahman
• Chang Hsiu-Wen
• Georgy Jacques
• Syed Zainab
• Goodall Christopher

Classifications

• G06F3/0346 Primary

  with detection of the device orientation or free movement in a three-dimensional [3D] space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors · CPC title

• G01P15/18

  in two or more dimensions · CPC title

• G01B21/24 Primary

  for testing alignment of axes · CPC title

• G01C21/16

  by integrating acceleration or speed, i.e. inertial navigation · CPC title

• G01C21/185

  for gravity · CPC title