CONTACT STATE ESTIMATING APPARATUS

• US 20130258100A1
• Filed: 02/27/2013
• Published: 10/03/2013
• Est. Priority Date: 03/30/2012
• Status: Active Grant

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Asatani, Minami
• Granted Patent: US 9,197,862 B2
• Time in Patent Office: Days
• US Class Current: 348/140
• CPC Class Codes: G01C 3/08 Use of electric radiation detectors
• CPC Class Codes: G01S 17/08 for measuring distance only indirect measurement G01S17/46; active triangulation systems G01S17/48
• CPC Class Codes: G01S 17/875 for determining attitude
• CPC Class Codes: G01S 17/88 Lidar systems specially adapted for specific applications
• CPC Class Codes: G01S 17/89 for mapping or imaging
• CPC Class Codes: G01S 7/4808 Evaluating distance, position or velocity data
• CPC Class Codes: G06V 10/754 involving a deformation of the sample pattern or of the reference pattern; Elastic matching
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

A position and a posture of a virtual face is searched so that a total cost E of a first cost E₁ and a second cost E₂ is approximated to a smallest value or a minimum value. A first cost E₁(e₁) corresponds to a sum of elastic energy with a first deviation e₁(s) as a deformation amount, of a virtual spring group having a value of a first coefficient function w₁(e₁(s)) in a target region of a standard image as a spring coefficient. A second cost E₂(e₁, e₂) corresponds to a sum of elastic energy with a second deviation e₂ as a deformation amount, of a virtual spring group having a value of a second coefficient function w₂(e₂(s) of each pixel s included in the target region of the standard image as a spring coefficient.

Claims

1. A contact state estimating apparatus configured to estimate a contact state between a surface of an actual object and a virtual face which is a surface of a virtual object having a designated shape, by using a pair of image sensors configured to acquire each of a pair of images composed of a plurality of pixels having a designated physical quantity as a pixel value by imaging the actual object, and a range image sensor configured to measure distance up to the actual object and to allocate the measured distance with respect to each of a plurality of pixels composing a target region of one of the images obtained by one of the image sensors among the pair of image sensors, comprising:

a first processing element configured to calculate a sum of a value of a first cost function having a first deviation allocated to each pixel in the target region as a main variable, as a first cost;

a second processing element configured to calculate a sum of a value of a second cost function having a second deviation allocated to each pixel in the target region or both of the first deviation and the second deviation as a main variable, as a second cost; and

a third processing element configured to search for a position and a posture of the virtual face in a case of contacting the surface of the actual object so as to approximate a total cost of the first cost and the second cost to a smallest value or a minimum value,

wherein the first deviation is defined as a variable such that a magnitude of an absolute value is determined according to a length of an interval between an actual point whose position is determined by a distance to the actual object obtained by the range image sensor and a virtual point which is a result of projecting the actual point to the virtual face in a line of sight direction of the one of the image sensors, and being a positive value in a case where the virtual point is positioned farther than the actual point with reference to the one of the image sensors, while being a negative value in a case where the virtual point is positioned nearer than the actual point with reference to the one of the image sensors,

wherein the second deviation is defined as a variable such that a magnitude is determined according to a magnitude of a difference between the designated physical quantity possessed by the pixels of the one of the images and the designated physical quantity possessed by the pixels of the other image obtained by the other image sensor corresponding to the pixels of the one of the images in a form according to the position and the posture of the virtual face, and

wherein each of the first cost function and the second cost function is defined as a function which shows a smallest value or a minimum value in a case where a value of the main variable is 0 and which is an increasing function in a positive definition domain.

2. The contact state estimating apparatus according to claim 1,

wherein the first cost function is defined by a product between a positive exponentiation of an absolute value of the first deviation, and a first coefficient function being a function having the first deviation as the main variable and a range of value being 0 or more and a value in the positive definition domain being larger than a value in a negative definition domain even in a case where absolute values thereof are same, and

wherein the second cost function is defined by a product between a positive exponentiation of an absolute value of the second deviation, and a second coefficient function being a function having the first deviation or the second deviation as the main variable and a range of value being 0 or more, and a value in the positive definition domain being larger than a value in the negative definition domain even in a case where absolute values thereof are same.

3. The contact state estimating apparatus according to claim 2, wherein one or both of the first and the second coefficient functions is defined as an increasing function at least in the positive definition domain.

4. The contact state estimating apparatus according to claim 3, wherein one or both of the first and the second coefficient functions is defined as a function which is 0 in the negative definition domain or a definition domain less than a negative designated value.

5. The contact state estimating apparatus according to claim 2, wherein the second deviation as the main variable of the second coefficient function is defined as a parallax residual of the pair of image sensors as a result of a difference of the designated physical quantity imaged by each of the pair of image sensors being converted, according to a restraint condition that the designated physical quantity of a same part in a real space are same, or defined as a distance residual corresponding to the parallax residual.

6. The contact state estimating apparatus according to claim 1, wherein the range image sensor is configured so as to obtain a distance image composed of a plurality of pixels having a distance to the actual object as a pixel value, and

wherein the first processing element is configured to allocate a distance according to the pixel value of each pixel composing the distance image as a pixel value with respect to the plurality of pixels composing the target region of the one of the images, according to a relative arrangement relation of the one of the image sensors and the range image sensor.

7. The contact state estimating apparatus according to claim 3, wherein one or both of the first and the second coefficient functions is defined as a function which is a positive designated value in the negative definition domain or a definition domain less than a negative designated value.

8. The contact state estimating apparatus according to claim 1, wherein the first processing element determines a standard point in a region where the target region is projected to the surface of the virtual object, selects an actual point within a predetermined range from the standard point or an actual point corresponding to the standard point, and determines the first deviation.

9. A contact state estimating method for estimating a contact state between a surface of an actual object and a virtual face which is a surface of a virtual object having a designated shape, comprising:

a step for acquiring each of a pair of images composed of a plurality of pixels having a designated physical quantity as a pixel value by imaging the actual object using a pair of image sensors;

a step for measuring a distance up to the actual object allocated with respect to each of a plurality of pixels composing a target region of one of the images acquired by one of the image sensors among the pair of image sensors using a range image sensor;

a first step for calculating a sum of a first cost function having a first deviation allocated to each pixel in the target region as a main variable, as a first cost;

a second step for calculating a sum of a second cost function having a second deviation allocated to each pixel in the target region or both of the first deviation and the second deviation as a main variable, as a second cost; and

a third step for searching a position and a posture of the virtual face in a case of contacting the surface of the actual object so as to approximate a total cost of the first cost and the second cost to a smallest value or a minimum value,

wherein the first deviation is defined as a variable such that a magnitude of an absolute value is determined according to a length of an interval between an actual point whose position is determined by a distance to the actual object obtained by the range image sensor and a virtual point which is a result of projecting the actual point to the virtual face in a line of sight direction of the one of the image sensors, and being a positive value in a case where the virtual point is positioned farther than the actual point with reference to the one of the image sensors, while being a negative value in a case where the virtual point is positioned nearer than the actual point with reference to the one of the image sensors,

wherein the second deviation is defined as a variable such that a magnitude is determined according to a magnitude of a difference between the designated physical quantity possessed by the pixels of the one of the images and the designated physical quantity possessed by the pixels of the other image obtained by the other image sensor corresponding to the pixels of the one of the images in a form according to the position and the posture of the virtual face, and

wherein each of the first cost function and the second cost function is defined as a function which shows a smallest value or a minimum value in a case where a value of the main variable is 0 and which is an increasing function in a positive definition domain.