Systems and methods for augmented reality

Patent metadata

Field	Value
Publication number	US-10650552-B2
Application number	US-201715859277-A
Country	US
Kind code	B2
Filing date	Dec 29, 2017
Priority date	Dec 29, 2016
Publication date	May 12, 2020
Grant date	May 12, 2020

Abstract

Systems and methods for reducing error from noisy data received from a high frequency sensor by fusing received input with data received from a low frequency sensor by collecting a first set of dynamic inputs from the high frequency sensor, collecting a correction input point from the low frequency sensor, and adjusting a propagation path of a second set of dynamic inputs from the high frequency sensor based on the correction input point either by full translation to the correction input point or dampened approach towards the correction input point.

First claim

What is claimed is:

1. A method comprising:
collecting a first set of dynamic inputs from at least one first sensor at a first frequency;
collecting a correction input point from at least one second sensor at a second frequency and with latency relative to the collection of the first set of dynamic inputs;
collecting a second set of dynamic inputs from the at least one first sensor at the first frequency; and
adjusting a propagation path of the second set of dynamic inputs based on the correction input point and the latency.

2. The method of claim 1 , wherein the second frequency is lower than the first frequency.

3. The method of claim 1 , wherein adjusting the propagation path comprising originating the propagation path from the correction input point.

4. The method of claim 1 , wherein adjusting the propagation path comprising adjusting a rate of change of the propagation path based on weighted average time domain adjustments.

5. The method of claim 4 , wherein the rate of change of the propagation path is adjusted by applying a coefficient to an extended Kalman filter accepting the second set of dynamic inputs.

6. The method of claim 1 , wherein adjusting the propagation path comprising originating the propagation path from the correction input point and the latency.

7. The method of claim 1 , wherein adjusting the propagation path comprising adjusting a rate of change of the propagation path based on weighted average time domain adjustments and the latency.

8. The method of claim 7 , wherein the rate of change of the propagation path bed on the latency is adjusted by applying a coefficient to an extended Kalman filter accepting the second set of dynamic inputs.

9. An visualization reality system:
a first sensor positioned to collect a first set of dynamic inputs from at a first frequency;
a second sensor positioned to collect a correction input point at a second frequency and with latency relative to the collection of the first set of dynamic inputs,
wherein the first sensor positioned to collect a second set of dynamic inputs at the first frequency; and
a fusion system connected to the first and second sensors and to adjust a propagation path of the second set of dynamic inputs based on the correction input point and the latency.

Assignees

• Magic Leap Inc

Inventors

• Woods Michael Janusz
• Rabinovich Andrew

Classifications

• G06F3/0484

  for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

• G06F3/0482

  Interaction with lists of selectable items, e.g. menus · CPC title

• G06T7/74 Primary

  involving reference images or patches · CPC title

• G06T7/73

  using feature-based methods · CPC title

• G06T19/006

  Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title