POSITION STATE ESTIMATION DEVICE AND POSITION STATE ESTIMATION METHOD

• US 20160265926A1
• Filed: 03/01/2016
• Published: 09/15/2016
• Est. Priority Date: 03/10/2015
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: SATO, Makoto
• Application Number:
  US15/057,460
• Publication Number:
  US 20160265926A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement

Abstract

A position state estimation device according to an embodiment estimates a position state including a position of a moving object. The device includes an evaluator, an estimator, a selector, a searcher, and a sampler. Based on a measurement value of the position state at time (t), the evaluator calculates an evaluation value of a sample (t) of the position state at the time (t). Based on the sample (t) and the evaluation value, the estimator estimates the position state at the time (t). Based on the estimated position state at the time (t), the selector selects a destination of the moving object from among destination candidates. The searcher searches for a valid path to the destination. Based on a transition model of the position state, the sample (t), and the valid path, the sampler generates a plurality of samples (t+1) for a subsequent operation timing after the time (t).

Claims

1. A position state estimation device to estimate a position state including a position of a moving object, comprising:

an evaluator to calculate, based on a measurement value of the position state at time (t), an evaluation value of a sample (t) of the position state at the time (t);

an estimator to estimate, based on the sample (t) and the evaluation value, the position state at the time (t);

a selector to select, based on the estimated position state at the time (t), a destination of the moving object from among destination candidates;

a searcher to search for a valid path to the destination; and

a sampler to generate, based on a transition model of the position state, the sample (t), and the valid path, a plurality of samples (t+1) for a subsequent operation timing after the time (t).

2. The device according to claim 1, wherein

the sampler carries out transition of the sample (t) along the valid path based on the transition model to generate the sample (t+1).

3. The device according to claim 1, wherein

the valid path includes a path at least either with a shortest required time or with a shortest distance to the destination.

4. The device according to claim 1, wherein

in a case where a movement path of the moving object from a starting position to a position at the time (t) matches a shortest path from the starting position to the destination candidate, the selector selects, from among the destination candidates, that destination candidate as the destination.

5. The device according to claim 1, wherein

the evaluation value is calculated based on likelihood of the sample (t) with respect to the measurement value at the time (t).

6. The device according to claim 1, wherein

the evaluation value becomes smaller as a difference between a position of the moving object contained in the sample (t) and a position of the moving object contained in the measurement value is enlarged.

7. The device according to claim 1, wherein

the evaluation value becomes smaller as a difference between a movement direction of the moving object based on the sample (t) and a movement direction of the moving object based on the measurement value is enlarged.

8. The device according to claim 1, wherein

the position state includes at least one of a speed, a movement direction, and a movement means of the moving object.

9. A position state estimation method that estimates a position state including a position of a moving object, comprising:

calculating, based on a measurement value of the position state at time (t), an evaluation value of a sample (t) of the position state at the time (t);

estimating, based on the sample (t) and the evaluation value, the position state at the time (t);

selecting, based on the estimated position state at the time (t), a destination of the moving object from among destination candidates;

searching for a valid path to the destination; and

generating, based on a transition model of the position state, the sample (t), and the valid path, a sample (t+1) for a subsequent operation timing after the time (t).