METHOD OF PREDICTING POSITION OF OBJECT

• US 20110082664A1
• Filed: 10/30/2009
• Published: 04/07/2011
• Est. Priority Date: 10/06/2009
• Status: Abandoned Application

• Current Assignee: National Taiwan University (Government of The Republic of China)
• Original Assignee: National Taiwan University (Government of The Republic of China)
• Inventors: Chen, Yu-Jung, Lau, Seng-Yong, Wu, I-Hei, Huang, Polly
• Application Number:
  US12/609,598
• Publication Number:
  US 20110082664A1
• Time in Patent Office: Days
• US Class Current: 702/150
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering

Abstract

A method of predicting a position of an object includes the steps of (1) providing a filter for tracking at least one object and obtaining a first position and a first speed of the object at a first time, (2) providing a first acceleration of the object at the filter at the first time, (3) setting a second time by the filter, and (4) outputting a second position of the object at the second time by the filter according to the first position, the first speed, the first acceleration, the first time and the second time, so as to provide a way of predicting a position of an object more accurately.

Claims

1. A method of predicting a position of an object, comprising the steps of:

(1) providing a filter, for tracking at least one object, and obtaining a first position and a first speed of the object at a first time;

(2) providing a first acceleration of the object at the filter at the first time;

(3) setting a second time by the filter; and

(4) outputting a second position of the object at the second time by the filter according to the first position, the first speed, the first acceleration, the first time and the second time.

2. The method of claim 1, wherein the first acceleration is measured by an accelerometer.

3. The method of claim 1, wherein the filter is a particle filter or a Bayesian filter.

4. The method of claim 2, wherein the filter is a particle filter or a Bayesian filter.

5. A method of predicting a position of an object, comprising the steps of:

(1)′

providing a filter, for tracking at least one object, and obtaining a first position of the object at a first time;

(2)′

providing a first moving direction of the object at the first time at the filter;

(3)′

setting a moving interval by the filter;

(4)′

generating a second time by the filter, after the object has moved along the moving interval; and

(5)′

outputting a second position of the object at the second time by the filter according to the first position, the moving interval and the first moving direction.

6. The method of claim 5, wherein the first moving direction is measured by an accelerometer.

7. The method of claim 5, wherein the filter is a particle filter or a Bayesian filter.

8. The method of claim 6, wherein the filter is a particle filter or a Bayesian filter.