CN108007472A - Measure the method and system of vision sweeping robot odometer penalty coefficient - Google Patents

Measure the method and system of vision sweeping robot odometer penalty coefficient Download PDF

Info

Publication number
CN108007472A
CN108007472A CN201711252871.2A CN201711252871A CN108007472A CN 108007472 A CN108007472 A CN 108007472A CN 201711252871 A CN201711252871 A CN 201711252871A CN 108007472 A CN108007472 A CN 108007472A
Authority
CN
China
Prior art keywords
sweeping robot
vision
camera
odometer
ceiling
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711252871.2A
Other languages
Chinese (zh)
Inventor
王声平
周毕兴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Infinite Power Development Co., Ltd.
Original Assignee
Shenzhen Water World Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Water World Co Ltd filed Critical Shenzhen Water World Co Ltd
Priority to CN201711252871.2A priority Critical patent/CN108007472A/en
Publication of CN108007472A publication Critical patent/CN108007472A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Manufacturing & Machinery (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to vision sweeping robot, specially a kind of method and system for measuring vision sweeping robot odometer penalty coefficient, wherein method are to calculate penalty coefficient according to formula according to after the displacement that the photo shot when moving calculates mobile actual displacement and odometer calculates in specified environment according to vision sweeping robot.Using vision sweeping robot, the sensor of itself calculates penalty coefficient to the present invention, improves calculating speed and precision.

Description

Measure the method and system of vision sweeping robot odometer penalty coefficient
Technical field
The present invention relates to vision sweeping robot factory testing field, especially relates to a kind of measurement vision sweeper The method and system of device people's odometer penalty coefficient.
Background technology
Odometer is a kind of critical component on vision sweeping robot, for measuring the displacement of vision sweeping robot and shifting Dynamic speed.Odometer is typically provided with encoder, according to encoder rotate angle and wheel circumference calculating move away from From.Because of factors such as environmental factor or structures, displacement distance and actual range that odometer calculates have a certain distance, generally exist Odometer will be demarcated before dispatching from the factory, calculate penalty coefficient and the distance that odometer calculates is compensated, be allowed to examine The distance of survey is accurate.
Present vision sweeping robot is all that manually calibrated and calculated goes out penalty coefficient before dispatching from the factory, and is so measured Speed is slow, and precision is nor very high.
The content of the invention
The main object of the present invention can fast automatic calibration vision sweeping robot odometer method to provide one kind.
The present invention propose it is a kind of measure vision sweeping robot odometer penalty coefficient method, the ground of measuring environment with Ceiling be it is horizontally disposed, the described method includes:
Vision sweeping robot mobile a distance in the test environment, while camera collection ceiling image;
According to the image of collection, the actual displacement L2 moved of computation vision sweeping robot;
Obtain the displacement L1 of the sweeping robot of odometer record;
The displacement L1 of the sweeping robot recorded with the actual displacement L2 moved of sweeping robot divided by odometer, calculates Go out penalty coefficient.
Further, the step of image according to collection, the displacement L2 that computation vision sweeping robot is actual to be moved Including:
The picture gathered according to vision sweeping robot, carries out space three-dimensional reconstruct by the characteristic point in picture, obtains institute The three dimensional space coordinate of characteristic point is stated, and then obtains the three-dimensional information of the image;
According to the three-dimensional information of described image, the actual displacement L2 moved of the vision sweeping robot is calculated.
Further, the three-dimensional information according to described image, it is actual mobile to calculate the vision sweeping robot Displacement L2 the step of include:
Obtain scale number T1 of the displacement distance in three dimensions of vision sweeping robot;
The corresponding dimensional information s of each scale is calculated according to default rule;
Dimensional information s is multiplied by the scale number T1 of three dimensions with the displacement distance of vision sweeping robot, is calculated The actual displacement L2 moved of vision sweeping robot.
Further, described the step of calculating each scale corresponding dimensional information s according to default rule, includes:
Camera is obtained to the scale number T2 of ceiling plane;
According to known environment information and the vision sweeping robot parameter of itself, camera is calculated apart from ceiling Actual height H;
With camera apart from ceiling actual height H divided by camera to the scale number T2 of ceiling plane, calculate Go out dimensional information s.
Further, the scale number T2 for obtaining camera to ceiling plane includes step:
Estimate ceiling plane using RANSAC plane fittings, obtain normal n;
According to formula T2=nT* camera is calculated to scale the number T2, wherein n of ceiling plane in xTRepresent that normal n exists The vector in the reconstruction space, x represent coordinate of the camera in the three dimensions.
Further, it is described penalty coefficient is calculated after include step:
Multiple penalty coefficients are repeatedly calculated, calculate the average value of multiple penalty coefficients.
Further, described the step of repeatedly calculating multiple penalty coefficients, includes:
Vision sweeping robot calculates multiple penalty coefficients on the ground of unlike material after movement respectively.
The present invention also proposes a kind of system for measuring vision sweeping robot odometer penalty coefficient, the ground of measuring environment Be with ceiling it is horizontally disposed, the system comprises:
Mobile device, a distance is moved for vision sweeping robot in the test environment, while camera is adopted Collect ceiling picture;
Actual displacement device, for the picture according to collection, calculates the actual displacement L2 moved of vision sweeping robot;
Odometer gearshift, for obtaining the displacement L1 of odometer record;
Penalty coefficient device, for the machine of sweeping the floor recorded with the actual displacement L2 moved of sweeping robot divided by odometer The displacement L1 of people, is calculated penalty coefficient.
Further, the actual displacement device includes:
Module is built, for the picture gathered according to vision sweeping robot, the characteristic point in picture is subjected to space three Dimension reconstruct, obtains the three dimensional space coordinate of the characteristic point, and then obtain the three-dimensional information of the image;
Computing module, for the three-dimensional information according to described image, it is actual mobile to calculate the vision sweeping robot Displacement L2.
Further, the computing module includes:
Mobile scale submodule, for obtaining scale number T1 of the displacement distance in three dimensions of vision sweeping robot;
Length information submodule, for calculating the corresponding dimensional information s of each scale according to default rule;
Calculation formula submodule, for being multiplied by with the displacement distance of vision sweeping robot in the scale number T1 of three dimensions Dimensional information s, is calculated the actual displacement L2 moved of vision sweeping robot.
Further, the length information submodule includes:
Scaling units are obtained, for obtaining camera to the scale number T2 of ceiling plane;
Computed altitude unit, for according to known environment information and the vision sweeping robot parameter of itself, calculating Actual height H of the camera apart from ceiling;
Calculation formula unit, for according to camera apart from ceiling actual height H divided by camera to ceiling The scale number T2 of plane, is calculated dimensional information s.
Further, the acquisition scaling units include:
Normal subelement, for using RANSAC plane fittings estimation ceiling plane, obtaining normal n;
Calculate apart from subelement, for according to formula T2=nT* x, is calculated camera to the scale of ceiling plane Number T2, wherein nTRepresent vectors of the normal n in the reconstruction space, x represents coordinate of the camera in the three dimensions.
Further, the system of the measurement vision sweeping robot odometer penalty coefficient further includes:
Multiple computing device, for calculating the distance of normal n and vision robot's camera of sweeping the floor, obtains T2.
Further, the repeatedly computing device includes:
Earth module, multiple compensation are calculated for vision sweeping robot on the ground of unlike material after movement respectively Coefficient.
Compared with prior art, the beneficial effects of the invention are as follows:Using vision sweeping robot, the sensor of itself can To be automatically performed the calculating of penalty coefficient, the calibration efficiency of vision sweeping robot is improved, reduces the time manually demarcated, is improved Stated accuracy.
Brief description of the drawings
The step of Fig. 1 is the method for the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is illustrated Figure;
The step of Fig. 2 is the method for the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is illustrated Figure;
The step of Fig. 3 is the method for the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is illustrated Figure;
The step of Fig. 4 is the method for the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is illustrated Figure;
The step of Fig. 5 is the method for the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is illustrated Figure;
Fig. 6 is the structural representation of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention Figure;
Fig. 7 is the actual displacement of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention The structure diagram of device;
Fig. 8 is the computing module of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention Structure diagram;
Fig. 9 is the length information of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention The structure diagram of submodule;
Figure 10 is that the calculating of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is high Spend the structure diagram of unit;
Figure 11 is that the structure of the system of the measurement vision sweeping robot odometer penalty coefficient of one embodiment of the invention is shown It is intended to.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
With reference to Fig. 1, the method that the present invention one measures vision sweeping robot odometer penalty coefficient is proposed, measuring environment Ground and ceiling are horizontally disposed, and the distance of the two planes is known, and measuring method includes step:
S1, vision sweeping robot mobile a distance in the test environment, while camera collection ceiling figure Piece;
S2, the picture according to collection, the actual displacement L2 moved of computation vision sweeping robot;
S3, the displacement L1 for obtaining odometer record;
The displacement L1 of S4, the sweeping robot recorded with the actual displacement L2 moved of sweeping robot divided by odometer, meter Calculation draws penalty coefficient.
In the present embodiment, vision sweeping robot moves in the environment, floor and ceiling be it is horizontally disposed, i.e., Plate and ceiling are smooth planes, and without the gradient, radian, inclination, vision sweeping robot can be swept the floor with normal movement, vision Machine carries vision system, and vision system is exactly to replace human eye with machine to measure and judge.Vision system refers to pass through machine Device vision products (i.e. image-pickup device, is divided to two kinds of CMOS and CCD) will be ingested target and be converted into picture signal, send to specially Image processing system, according to the information such as pixel distribution and brightness, color, is transformed into digitized signal;Vision system is to this A little signals carry out various computings to extract clarification of objective, and then control the device action at scene according to the result of differentiation.Can For measurement distance, vision sweeping robot is provided with vision system and can measure the distance of front obstacle, obtain cleaning Cartographic information of environment etc..In this embodiment, picture is gathered according to measuring environment and vision system, measures vision and sweep the floor The actual moving displacement L2 of a distance of robot movement, then reads the odometer in this segment distance vision sweeping robot The displacement L1 calculated, with L2 divided by L1, it is possible to calculate penalty coefficient.
With reference to Fig. 2, further, the step S2 includes:
S21, the picture gathered according to vision sweeping robot, carry out space three-dimensional reconstruct by the characteristic point in picture, obtain To the three dimensional space coordinate of the characteristic point, and then obtain the three-dimensional information of the image;
S22, according to the three-dimensional information, calculate the actual displacement L2 moved of the vision sweeping robot.
In the present embodiment, vision sweeping robot during cleaning, take pictures by vision system, and extracts spy according to the photo of shooting Point is levied, carries out space three-dimensional reconstruct according to characteristic point, the two-dimension picture that will be shot is converted into the picture of three-dimensional, passes through video camera Demarcate to establish effective imaging model, solve the inside and outside parameter of video camera, can thus combine the matching result of image The three-dimensional point coordinate in space is obtained, so as to achieve the purpose that to carry out three-dimensional reconstruction, three dimensions is built up, then vision is swept the floor The position after position and movement before robot movement is labeled in the three dimensions, and calculating vision in the coordinate-system sweeps The actual displacement distance L2 of floor-washing robot.Three dimensions is established, more accurately obtains the position of vision sweeping robot, is calculated Actual displacement distance L2 out is more accurate.
With reference to Fig. 3, further, step S22 includes:
S221, scale number T1 of the displacement distance in three dimensions for obtaining vision sweeping robot;
S222, calculate the corresponding dimensional information s of each scale according to default rule;
S223, with the displacement distance of vision sweeping robot be multiplied by dimensional information s in the scale number T1 of three dimensions, calculates Draw the actual displacement L2 moved of vision sweeping robot.
In the present embodiment, in three dimensions, each dimension has a scale every a distance, the scale it is corresponding away from From just referring to dimensional information s.In the three-dimensional coordinate system, scale the number T1, Ran Houzai of the movement of vision sweeping robot are obtained According to the length information s of each scale number, L2 can be calculated according to the two amounts.Specifically, L2 is equal to T1 and s and multiplies Product.Wherein the size of s can be calculated according to some of default rule and user preset parameters.
It is further, described that the corresponding length information s S222 of each scale are calculated according to default rule with reference to Fig. 4 The step of include:
S2221, obtain camera to the scale number T2 of ceiling plane;
S2222, according to known environment information and the vision sweeping robot parameter of itself, calculate camera apart from day The actual height H of card;
S2223, with camera apart from ceiling actual height H divided by camera to ceiling plane scale number T2, Dimensional information s is calculated.
In the present embodiment, in three dimensions, camera is a point, and residing for ceiling is a plane, is calculated The scale number of camera and ceiling plane.In addition, according to known environment, can calculate between camera and ceiling Actual distance value.I.e. the corresponding actual distance value of scale number can calculate, then, the corresponding physical length of each scale Value can be obtained significantly.With the scale quantity of actual height H of the camera away from ceiling divided by camera to ceiling plane T2, you can to calculate s.In known environment, height H1 of the ceiling apart from ground is known, vision sweeping robot It is parameter-embedded in, camera height H2 residing on vision sweeping robot is known, then, vision sweeping robot When placing on the ground, the actual distance value of camera and ceiling is H=H1-H2.Then H divided by T2 is used, ruler is calculated Spend information s.
With reference to Fig. 5, further, step S2221 includes:
S22211, using RANSAC plane fittings estimate ceiling plane, obtain normal n;
S22212, according to formula T2=nT* x obtains T2, obtains camera to scale the number T2, wherein n of ceiling planeT Represent vectors of the normal n in the reconstruction space, x represents coordinate of the camera in the three dimensions.
In the present embodiment, RANSAC is the abbreviation of Random Sample Consensus, it is comprising abnormal according to one group The sample data set of data, calculates the mathematical model parameter of data, obtains the algorithm of effective sample data.RANSAC algorithms pass through It is usually used in computer vision, the match point of a pair of of camera and the meter of fundamental matrix is solved the problems, such as at the same time in stereoscopic vision field Calculate.Camera has certain angle, containing the point in many ceiling planes in the three dimensions of foundation, using RANSAC into Row fitting, it is possible to calculate plane of the ceiling plane in straight three dimensions, the plane in three dimensions put down by ceiling The normal in face is indicated with n.Then ceiling is calculated to vision sweeping robot according to normal in the three dimensions The distance of camera, for the distance, that is, camera to ceiling in the distance T2 of three dimensions, which is in three-dimensional coordinate system Scale number, rather than actual distance value.Specifically, normal n and camera to ceiling between the distance T2 of three dimensions Correspondence be:T2=nT* x, in the formula, x is coordinate of the camera in the three dimensions, nTRepresent normal this three Vector in dimension space.
Further, it is described penalty coefficient is calculated after include step:
S5, repeatedly calculate multiple penalty coefficients, calculates the average value of multiple penalty coefficients.
In the present embodiment, after penalty coefficient is calculated, inevitably there are error for the penalty coefficient.And the error It is random error, further to reduce error, the best way is exactly that many experiments calculate, and the step of above-mentioned S1-S4 is repeated several times Suddenly multiple penalty coefficients are drawn, calculate the average value of multiple penalty coefficients, using the average value as final penalty coefficient, are improved The precision of the detecting distance of vision sweeping robot.
Further, the step of repeatedly calculating multiple penalty coefficients includes:
Vision sweeping robot calculates multiple penalty coefficients on the ground of unlike material after movement respectively.
In the present embodiment, because vision sweeping robot will face different families, therefore when measuring penalty coefficient, Consider various factors, it is therefore desirable to consider different friction coefficient.General home-use floor include concrete floor, ceramic tile, The different floor of the various materials such as timber floor, carpet.Measurement draws compensation system on the floor of unlike material different coefficients of friction After number, calculating is averaged, finally draws the penalty coefficient of a standard.
With reference to Fig. 6, the present invention also proposes a kind of system for measuring vision sweeping robot odometer penalty coefficient, wherein, The ground of measuring environment is horizontally disposed with ceiling, which includes:
Mobile device 1, a distance is moved for vision sweeping robot in the test environment, while camera is adopted Collect ceiling picture;
Actual displacement device 2, for the picture according to collection, calculates the actual displacement moved of vision sweeping robot L2;
Odometer gearshift 3, the displacement L1 calculated for obtaining odometer;
Penalty coefficient device 4, for the sweeper recorded with the actual displacement L2 moved of sweeping robot divided by odometer The displacement L1 of device people, is calculated penalty coefficient.
In the present embodiment, vision sweeping robot moves in the environment, floor and ceiling be it is horizontally disposed, i.e., Plate and ceiling are smooth planes, can be swept the floor without the gradient, radian, inclination vision sweeping robot with normal movement, vision Machine carries vision system, and vision system is exactly to replace human eye with machine to measure and judge.Vision system refers to pass through machine Device vision products (i.e. image-pickup device, is divided to two kinds of CMOS and CCD) will be ingested target and be converted into picture signal, send to specially Image processing system, according to the information such as pixel distribution and brightness, color, is transformed into digitized signal;Vision system is to this A little signals carry out various computings to extract clarification of objective, and then control the device action at scene according to the result of differentiation.Can For measurement distance, the mobile device 1 of vision sweeping robot is when controlling the movement of vision sweeping robot, while control regards Feel is taken pictures, and gathers the picture of ceiling.In this embodiment, actual displacement device 2 is according to measuring environment and vision system System collection picture, measures the actual moving displacement L2 of a distance of vision sweeping robot movement, then odometer displacement Device 3 reads the displacement L1 that the odometer in this segment distance vision sweeping robot calculates, penalty coefficient device 4 with L2 divided by L1, it is possible to calculate penalty coefficient.
With reference to Fig. 7, further, the actual displacement device 2 includes:
Module 21 is built, for the picture gathered according to vision sweeping robot, the characteristic point in picture carries out space three Dimension reconstruct, obtains the three dimensional space coordinate of the characteristic point, and then obtain the three-dimensional information of the image;
Computing module 22, it is actual mobile for calculating the vision sweeping robot according to the three-dimensional information of described image Displacement L2.
In the present embodiment, vision sweeping robot during cleaning, take pictures by vision system, builds photograph of the module 21 according to shooting Piece extracts characteristic point, carries out space three-dimensional reconstruct according to characteristic point, the two-dimension picture that will be shot is converted into the picture of three-dimensional, leads to Camera calibration is crossed to establish effective imaging model, solves the inside and outside parameter of video camera, can thus combine image Matching result obtains the three-dimensional point coordinate in space, so as to achieve the purpose that to carry out three-dimensional reconstruction, builds up three dimensions, then will The position after position and movement before the movement of vision sweeping robot is labeled in the three dimensions, and computing module 22 is in the coordinate The actual displacement distance L2 of vision sweeping robot is calculated in system.Three dimensions is established, vision is more accurately obtained and sweeps The position of floor-washing robot, the actual displacement distance L2 calculated are more accurate.
With reference to Fig. 8, further, the computing module 22 includes:
Mobile scale submodule 221, for obtaining scale number T1 of the movement in three dimensions of vision sweeping robot;
Length information submodule 222, for calculating the corresponding dimensional information s of each scale according to default rule;
Calculation formula submodule 223, for the displacement distance of vision sweeping robot three dimensions scale number T1 Dimensional information s is multiplied by, dimensional information L2 is calculated.
In the present embodiment, in three dimensions, each dimension has a scale every a distance, the scale it is corresponding away from From just referring to dimensional information s.In the three dimensions, mobile scale submodule 221 obtains the mark of vision sweeping robot movement Number of degrees T1, then length information submodule 222 calculate the corresponding length s of each scale, calculation formula submodule 223 further according to The length information s of each scale number, L2 can be calculated according to the two amounts.Specifically, L2 is equal to T1 and s and product.Its The size of middle s can be calculated according to some of default rule and user preset parameters.
With reference to Fig. 9, further, the length information submodule 222 includes:
Scaling units 2221 are obtained, for obtaining camera to the scale number T2 of ceiling plane;
Computed altitude unit 2222, for according to known environment information and the vision sweeping robot parameter of itself, meter Calculate actual height H of the camera apart from ceiling;
Calculation formula unit 2223, for camera apart from ceiling actual height H divided by camera to ceiling The scale number T2 of plane, is calculated dimensional information s.
In the present embodiment, in three dimensional coordinate space, camera is a point, and residing for ceiling is a plane, meter Calculate scaling units 2221 and calculate camera and the scale number of ceiling plane.In addition, according to known environment, computed altitude list Member 2222 can calculate the actual distance value between camera and ceiling.That is the corresponding actual distance value of scale number To calculate, then, the corresponding actual (tube) length angle value of each scale can be obtained significantly.Calculation formula unit 2223 uses camera The scale quantity T2 of actual height H divided by camera away from ceiling to ceiling plane, you can to calculate s.Known In environment, height H1 of the ceiling apart from ground be it is known, vision sweeping robot it is parameter-embedded in, camera is in vision Residing height H2 is known on sweeping robot, then, when vision sweeping robot is placed on the ground, camera and day The actual distance value of card is H=H1-H2.Then H divided by T2 is used, dimensional information s is calculated.
With reference to Figure 10, further, the calculating scaling units 2222 include:
Normal subelement 22221, for using RANSAC plane fittings estimation ceiling plane, obtaining normal n;
Calculate apart from subelement 22222, for according to formula T2=nT* x obtains T2, obtains camera to ceiling plane Scale number T2, wherein nTRepresent vectors of the normal n in the reconstruction space, x represents seat of the camera in the three dimensions Mark.
In the present embodiment, RANSAC is the abbreviation of Random Sample Consensus, it is comprising abnormal according to one group The sample data set of data, calculates the mathematical model parameter of data, obtains the algorithm of effective sample data.RANSAC algorithms pass through It is usually used in computer vision, the match point of a pair of of camera and the meter of fundamental matrix is solved the problems, such as at the same time in stereoscopic vision field Calculate.Camera has certain angle, contains the point in many ceiling planes, normal subelement in the three dimensions of foundation 22221 are fitted using RANSAC, it is possible to calculate plane of the ceiling plane in straight three dimensions, the plane is three N is indicated in dimension space.Then calculate and ceiling is calculated according to normal in the three dimensions apart from subelement 22222 To the distance of vision sweeping robot camera, in the distance T2 of three dimensions, which is the distance, that is, camera to ceiling Scale number in three-dimensional coordinate system, rather than actual distance value.Specifically, normal n and camera to ceiling in three-dimensional Correspondence between the distance T2 in space is:T2=nT* x, in the formula, x is coordinate of the camera in the three dimensions, nTRepresent vector of the normal in the three dimensions.
With reference to Figure 11, further, the system of the measurement vision sweeping robot odometer penalty coefficient further includes:
Multiple computing device 5, for calculating the distance of normal n and vision robot's camera of sweeping the floor, obtains T2.
In the present embodiment, after penalty coefficient is calculated, inevitably there are error for the penalty coefficient.And the error It is random error, further to reduce error, the best way is exactly that many experiments calculate, in multiple computing device multiplicating Multiple penalty coefficients are calculated in the device operation stated, and calculate the average value of multiple penalty coefficients, using the average value as finally Penalty coefficient, improve vision sweeping robot detecting distance precision.
Further, multiple computing device 5 includes:
Earth module 51, multiple benefits are calculated for vision sweeping robot on the ground of unlike material after movement respectively Repay coefficient.
In the present embodiment, because vision sweeping robot will face different families, therefore when measuring penalty coefficient, Consider various factors, it is therefore desirable to consider different friction coefficient.General home-use floor include concrete floor, ceramic tile, The different floor of the various materials such as timber floor, carpet.Earth module 51 measures on the floor of unlike material different coefficients of friction After drawing penalty coefficient, calculating is averaged, finally draws the penalty coefficient of a standard.
The foregoing is merely the preferred embodiment of the present invention, is not intended to limit the scope of the invention, every utilization The equivalent structure or equivalent flow shift that description of the invention and accompanying drawing content are made, it is related to be directly or indirectly used in other Technical field, be included within the scope of the present invention.

Claims (10)

1. it is a kind of measure vision sweeping robot odometer penalty coefficient method, it is characterised in that the ground of measuring environment with Ceiling be it is horizontally disposed, the described method includes:
Vision sweeping robot mobile a distance in the test environment, while camera collection ceiling image;
According to the image of collection, the actual displacement L2 moved of computation vision sweeping robot;
Obtain the displacement L1 of the sweeping robot of odometer record;
The displacement L1 of the sweeping robot recorded with the actual displacement L2 moved of sweeping robot divided by odometer, is calculated benefit Repay coefficient.
2. the method for vision sweeping robot odometer penalty coefficient as claimed in claim 1, it is characterised in that the basis The step of image of collection, the displacement L2 that computation vision sweeping robot is actual to be moved, includes:
The picture gathered according to vision sweeping robot, carries out space three-dimensional reconstruct by the characteristic point in picture, obtains the spy The three dimensional space coordinate of point is levied, and then obtains the three-dimensional information of the image;
According to the three-dimensional information of described image, the actual displacement L2 moved of the vision sweeping robot is calculated.
3. the method for measurement vision sweeping robot odometer penalty coefficient as claimed in claim 2, it is characterised in that described According to the three-dimensional information of described image, calculate the vision sweeping robot it is actual move displacement L2 the step of include:
Obtain scale number T1 of the displacement distance in three dimensions of vision sweeping robot;
The corresponding dimensional information s of each scale is calculated according to default rule;
Dimensional information s is multiplied by the scale number T1 of three dimensions with the displacement distance of vision sweeping robot, vision is calculated The actual displacement L2 moved of sweeping robot.
4. the method for measurement vision sweeping robot odometer penalty coefficient as claimed in claim 3, it is characterised in that described The step of calculating each scale corresponding dimensional information s according to default rule includes:
Camera is obtained to the scale number T2 of ceiling plane;
According to known environment information and the vision sweeping robot parameter of itself, reality of the camera apart from ceiling is calculated Height H;
With camera apart from ceiling actual height H divided by camera to the scale number T2 of ceiling plane, ruler is calculated Spend information s.
5. the method for measurement vision sweeping robot odometer penalty coefficient as claimed in claim 4, it is characterised in that described Obtaining the scale number T2 of camera to ceiling plane includes step:
Estimate ceiling plane using RANSAC plane fittings, obtain normal n;
According to formula T2=nT* camera is calculated to scale the number T2, wherein n of ceiling plane in xTRepresent that normal n is heavy at this The vector in space is built, x represents coordinate of the camera in the three dimensions.
6. it is a kind of measure vision sweeping robot odometer penalty coefficient system, it is characterised in that the ground of measuring environment with Ceiling be it is horizontally disposed, the system comprises:
Mobile device, a distance, while camera collection day are moved for vision sweeping robot in the test environment Card picture;
Actual displacement device, for the picture according to collection, calculates the actual displacement L2 moved of vision sweeping robot;
Odometer gearshift, for obtaining the displacement L1 of odometer record;
Penalty coefficient device, for the sweeping robot that is recorded with the actual displacement L2 moved of sweeping robot divided by odometer Displacement L1, is calculated penalty coefficient.
7. measurement as claimed in claim 6 is regarding the system of sweeping robot odometer penalty coefficient, it is characterised in that the reality Border gearshift includes:
Module is built, for the picture gathered according to vision sweeping robot, the characteristic point in picture is subjected to space three-dimensional weight Structure, obtains the three dimensional space coordinate of the characteristic point, and then obtains the three-dimensional information of the image;
Computing module, for the three-dimensional information according to described image, calculates the actual position moved of the vision sweeping robot Move L2.
8. measurement as claimed in claim 7 is regarding the system of sweeping robot odometer penalty coefficient, it is characterised in that the meter Calculating module includes:
Mobile scale submodule, for obtaining scale number T1 of the displacement distance in three dimensions of vision sweeping robot;
Length information submodule, for calculating the corresponding dimensional information s of each scale according to default rule;
Calculation formula submodule, for being multiplied by scale in the scale number T1 of three dimensions with the displacement distance of vision sweeping robot Information s, is calculated the actual displacement L2 moved of vision sweeping robot.
9. measurement as claimed in claim 8 is regarding the system of sweeping robot odometer penalty coefficient, it is characterised in that the length Degree message sub-module includes:
Scaling units are obtained, for obtaining camera to the scale number T2 of ceiling plane;
Computed altitude unit, for according to known environment information and the vision sweeping robot parameter of itself, calculating shooting Actual height H of the head apart from ceiling;
Calculation formula unit, for according to camera apart from ceiling actual height H divided by camera to ceiling plane Scale number T2, dimensional information s is calculated.
10. measurement as claimed in claim 9 is regarding the system of sweeping robot odometer penalty coefficient, it is characterised in that described Obtaining scaling units includes:
Normal subelement, for using RANSAC plane fittings estimation ceiling plane, obtaining normal n;
Calculate apart from subelement, for according to formula T2=nT* x, is calculated camera to the scale number T2 of ceiling plane, Wherein nTRepresent vectors of the normal n in the reconstruction space, x represents coordinate of the camera in the three dimensions.
CN201711252871.2A 2017-12-01 2017-12-01 Measure the method and system of vision sweeping robot odometer penalty coefficient Pending CN108007472A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711252871.2A CN108007472A (en) 2017-12-01 2017-12-01 Measure the method and system of vision sweeping robot odometer penalty coefficient

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711252871.2A CN108007472A (en) 2017-12-01 2017-12-01 Measure the method and system of vision sweeping robot odometer penalty coefficient

Publications (1)

Publication Number Publication Date
CN108007472A true CN108007472A (en) 2018-05-08

Family

ID=62056164

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711252871.2A Pending CN108007472A (en) 2017-12-01 2017-12-01 Measure the method and system of vision sweeping robot odometer penalty coefficient

Country Status (1)

Country Link
CN (1) CN108007472A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110262283A (en) * 2019-06-11 2019-09-20 远形时空科技(北京)有限公司 A kind of the vision robot's emulation platform and method of more scenes
CN110595480A (en) * 2019-10-08 2019-12-20 瓴道(上海)机器人科技有限公司 Navigation method, device, equipment and storage medium
CN110888421A (en) * 2018-08-21 2020-03-17 广州弘度信息科技有限公司 Robot, and motion self-adaption method and system of robot
CN111053498A (en) * 2018-10-17 2020-04-24 郑州雷动智能技术有限公司 Displacement compensation method of intelligent robot and application thereof
CN111671360A (en) * 2020-05-26 2020-09-18 深圳拓邦股份有限公司 Sweeping robot position calculating method and device and sweeping robot

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156576A (en) * 2005-11-30 2007-06-21 Mitsubishi Heavy Ind Ltd Method and device for adjusting odometry(wheel range finder) parameter for traveling carrier
US20090024251A1 (en) * 2007-07-18 2009-01-22 Samsung Electronics Co., Ltd. Method and apparatus for estimating pose of mobile robot using particle filter
CN102376089A (en) * 2010-12-09 2012-03-14 深圳大学 Target correction method and system
CN105631844A (en) * 2014-10-28 2016-06-01 上海大学 Image camera calibration method
CN106289327A (en) * 2016-11-08 2017-01-04 成都通甲优博科技有限责任公司 A kind of difference moves robot speedometer scaling method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156576A (en) * 2005-11-30 2007-06-21 Mitsubishi Heavy Ind Ltd Method and device for adjusting odometry(wheel range finder) parameter for traveling carrier
US20090024251A1 (en) * 2007-07-18 2009-01-22 Samsung Electronics Co., Ltd. Method and apparatus for estimating pose of mobile robot using particle filter
CN102376089A (en) * 2010-12-09 2012-03-14 深圳大学 Target correction method and system
CN105631844A (en) * 2014-10-28 2016-06-01 上海大学 Image camera calibration method
CN106289327A (en) * 2016-11-08 2017-01-04 成都通甲优博科技有限责任公司 A kind of difference moves robot speedometer scaling method

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110888421A (en) * 2018-08-21 2020-03-17 广州弘度信息科技有限公司 Robot, and motion self-adaption method and system of robot
CN110888421B (en) * 2018-08-21 2022-07-12 广州哨马智能装备科技有限公司 Robot, and motion self-adaption method and system of robot
CN111053498A (en) * 2018-10-17 2020-04-24 郑州雷动智能技术有限公司 Displacement compensation method of intelligent robot and application thereof
CN110262283A (en) * 2019-06-11 2019-09-20 远形时空科技(北京)有限公司 A kind of the vision robot's emulation platform and method of more scenes
CN110595480A (en) * 2019-10-08 2019-12-20 瓴道(上海)机器人科技有限公司 Navigation method, device, equipment and storage medium
CN111671360A (en) * 2020-05-26 2020-09-18 深圳拓邦股份有限公司 Sweeping robot position calculating method and device and sweeping robot
CN111671360B (en) * 2020-05-26 2021-11-16 深圳拓邦股份有限公司 Sweeping robot position calculating method and device and sweeping robot

Similar Documents

Publication Publication Date Title
CN108007472A (en) Measure the method and system of vision sweeping robot odometer penalty coefficient
US9965870B2 (en) Camera calibration method using a calibration target
CA2731680C (en) System for adaptive three-dimensional scanning of surface characteristics
CN101681519B (en) Measurement device and measurement method
CN102997891B (en) Device and method for measuring scene depth
CN106871787A (en) Large space line scanning imagery method for three-dimensional measurement
Hui et al. A novel line scan camera calibration technique with an auxiliary frame camera
CN102798350A (en) Method, device and system for measuring deflection of arm support
CN107167093A (en) The combined type measuring system and measuring method of a kind of laser line scanning and shadow Moire
CN108362205A (en) Space ranging method based on fringe projection
CN102012213B (en) New method for measuring foreground height through single image
CN112233246B (en) Satellite image dense matching method and system based on SRTM constraint
Deng et al. Registration of multiple rgbd cameras via local rigid transformations
CN110135011B (en) Visual-based flexible board vibration form visualization method
Furukawa et al. Interactive shape acquisition using marker attached laser projector
Xiao et al. Rapid three-dimension optical deformation measurement for transmission tower with different loads
TWI430823B (en) Putter speed measurement device, putter including the same, and putter speed measurement method
CN108680182A (en) Measure the method and system of vision sweeping robot odometer penalty coefficient
WO2019104741A1 (en) Method and system for measuring compensating coefficient for odometer of visual robot cleaner
CN116563370A (en) Distance measurement method and speed measurement method based on monocular computer vision
CN109597005A (en) The measuring system for space magnetic field of view-based access control model positioning
CN114820811A (en) Fundamental matrix solving and calibrating method of synchronous camera based on moving sphere
CN107392955A (en) A kind of depth of field estimation device and method based on brightness
CN114663486A (en) Building height measurement method and system based on binocular vision
Dias et al. Combining intensity and range images for 3D modelling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20190904

Address after: Room 402, 4th floor, Kanghe Sheng Building, New Energy Innovation Industrial Park, No. 1 Chuangsheng Road, Nanshan District, Shenzhen City, Guangdong Province, 518000

Applicant after: Shenzhen Infinite Power Development Co., Ltd.

Address before: 518000 Nanshan District, Shenzhen, Guangdong Province, 1079 Nanhai Avenue, Shekou, Garden City Digital Building B Block 503, 602

Applicant before: SHENZHEN WOTE WODE CO., LTD.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180508