CN109636853A - Air refuelling method based on machine vision - Google Patents

Air refuelling method based on machine vision Download PDF

Info

Publication number
CN109636853A
CN109636853A CN201811413048.XA CN201811413048A CN109636853A CN 109636853 A CN109636853 A CN 109636853A CN 201811413048 A CN201811413048 A CN 201811413048A CN 109636853 A CN109636853 A CN 109636853A
Authority
CN
China
Prior art keywords
image
fuel filling
taper sleeve
filling taper
machine vision
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
CN201811413048.XA
Other languages
Chinese (zh)
Inventor
米禹丰
王志刚
刘海港
张秀林
丁岩
杨大鹏
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.)
Shenyang Aircraft Design and Research Institute Aviation Industry of China AVIC
Original Assignee
Shenyang Aircraft Design and Research Institute Aviation Industry of China AVIC
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 Shenyang Aircraft Design and Research Institute Aviation Industry of China AVIC filed Critical Shenyang Aircraft Design and Research Institute Aviation Industry of China AVIC
Priority to CN201811413048.XA priority Critical patent/CN109636853A/en
Publication of CN109636853A publication Critical patent/CN109636853A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/13Edge detection
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64DEQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
    • B64D39/00Refuelling during flight
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The air refuelling method based on machine vision that this application provides a kind of, comprising: obtain the first image of fuel filling taper sleeve;First image is handled, the second image is obtained;Edge detection and shape recognition are carried out to the second image;According to the result of edge detection and shape recognition as a result, calculating the position coordinates of fuel filling taper sleeve;The motion state of fuel filling taper sleeve is tracked and locked according to position coordinates;According to motion state, air refuelling is carried out to aircraft.

Description

Air refuelling method based on machine vision
Technical field
This application involves technical field of aerospace, specifically provide a kind of air refuelling method based on machine vision.
Background technique
Hose type in the air independently by oil be aircraft flight drive in several one of subjects being most difficult to, need refueled aircraft by oil Pipe is accurately docked with the fuel filling taper sleeve of fuel charger is just able to achieve oiling, is all that the eyes of pilot is leaned on to estimate in current refueling process Meter and driving experience prediction come complete operation docking, due to the air-flow that is disturbed influence and pilot visual angle limitation etc. factors Restricted influence, all the time air refuelling are all that a success rate is not high and the very high task of operational hazards degree.
Summary of the invention
At least one in order to solve the above-mentioned technical problem, this application provides a kind of air refuelling sides based on machine vision Method, comprising: obtain the first image of fuel filling taper sleeve, wherein the fuel filling taper sleeve includes twin nuclei;To the first image into Row processing, obtains the second image;Edge detection and shape recognition are carried out to second image;According to the knot of the edge detection Fruit and the shape recognition as a result, calculating the position coordinates of the fuel filling taper sleeve;It tracks and locks according to the position coordinates The motion state of the fuel filling taper sleeve;According to the motion state, air refuelling is carried out to aircraft.
According at least one embodiment of the application, the color mode of the first image is RGB mode;It is described to described First image is handled, and the second image is obtained, comprising: the first image is converted to HSV color sky by rgb color space Between;Using best H threshold value, best S threshold value and best V threshold value, the first image is filtered;Filtered image is institute State the second image.
According at least one embodiment of the application, the best H threshold value be 80, the best S threshold value be 80, it is described most Good V threshold value is 50.
It is described that the first image is converted into HSV color by rgb color space according at least one embodiment of the application Color space, using following formula:
V=max (R, G, B)
H=H+360 (H < 0).
It is described that edge detection and shape recognition are carried out to second image according at least one embodiment of the application, It include: that edge detection and shape recognition are carried out to second image by Canny edge detection algorithm.
According at least one embodiment of the application, the result according to the edge detection and the shape recognition As a result, calculating the position coordinates of the fuel filling taper sleeve, comprising: by the edge of the bicyclic characteristic area to the fuel filling taper sleeve into The fitting of row least square ellipse, the ratio between obtained inside and outside transverse;If the ratio between described inside and outside transverse is in setting range The bicyclic bicyclic characteristic area for the fuel filling taper sleeve that is interior, then detecting;If the ratio between described inside and outside transverse is not described In setting range, then detect it is bicyclic be not the fuel filling taper sleeve bicyclic characteristic area.
According at least one embodiment of the application, the edge by the bicyclic characteristic area to the fuel filling taper sleeve Least square ellipse fitting is carried out, is calculated as the following formula:
Wherein,
(x0,y0) indicating elliptical barycentric coodinates, a indicates major axis radius, and b indicates minor axis radius, and θ indicates long axis and x-axis Angle.
It is described to be tracked according to the position coordinates and lock the fuel filling taper sleeve according at least one embodiment of the application Motion state, comprising: judge second image with the presence or absence of blocking;It blocks if it does not exist, then track and locks described add The motion state of oily tapered sleeve.
It is described to be tracked according to the position coordinates and lock the fuel filling taper sleeve according at least one embodiment of the application Motion state, further includes: block if it exists, then predict the optimal location of the fuel filling taper sleeve.
According at least one embodiment of the application, measured described in the center of the fuel filling taper sleeve and resolving as the following formula The position coordinates of fuel filling taper sleeve:
Wherein, L is fuel filling taper sleeve scale model size, and f is camera focus, and l is shared by fuel filling taper sleeve image in plane Pixel number, Z are distance of the zero point of reference frame where camera to fuel filling taper sleeve place plane.
In air refuelling method provided by the embodiments of the present application based on machine vision, cone accurately can be measured and tracked The movement of set obtains accurate tapered sleeve relative position parameter, and this method resolving speed of service is fast, and strong robustness can fit It the case where of occurring in air refuellings such as answers movement deformation, the random motion of a degree of tapered sleeve and blocks, there is preferable reality Engineering application value.
Detailed description of the invention
Fig. 1 is the flow diagram of oiling method provided by the embodiments of the present application;
Fig. 2 is the first image of fuel filling taper sleeve provided by the embodiments of the present application;
Fig. 3 is the second image of fuel filling taper sleeve provided by the embodiments of the present application;
Fig. 4 is image of the second image provided by the embodiments of the present application after edge detection and shape recognition;
Fig. 5 is that fuel filling taper sleeve position of centre of gravity and tapered sleeve position coordinates provided by the embodiments of the present application resolve image.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining related application, rather than the restriction to this application.It also should be noted that in order to Convenient for description, part relevant to the application is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is the flow diagram of oiling method provided by the embodiments of the present application, as shown in Figure 1, this method includes following Step:
Step 101, the first image of fuel filling taper sleeve is obtained.
Wherein, fuel filling taper sleeve includes twin nuclei.
As an alternative embodiment, in order to carry out air refuelling environmental simulation experiment, it can be using 3D printing Oiling umbrella cone is simulated in contracting than tapered sleeve model, using can the industry camera of servo motion simulate refueled aircraft, build one and build The oiling simulated environment of view, calibration for cameras and space coordinates, and the first figure for acquiring fuel filling taper sleeve is connected on computer Picture, acquired image are as shown in Figure 2.
Step 102, the first image is handled, obtains the second image.
Optionally, the color mode of the first image is RGB mode, then can be carried out by following step to the first image Processing is to obtain the second image:
First image is converted into HSV color space by rgb color space;
Using best H threshold value, best S threshold value and best V threshold value, the first image is filtered;
Filtered image is the second image.
Wherein, best H threshold value includes but is not limited to 80, and best S threshold value includes but is not limited to 80, best V threshold value include but It is not limited to 50.
First image, which is converted to HSV color space by rgb color space, to use following formula:
V=max (R, G, B)
H=H+360 (H < 0).
Illustratively, the second image obtained after filtering is as shown in Figure 3.
Step 103, edge detection and shape recognition are carried out to the second image.
Edge detection and shape recognition can be carried out to the second image using Canny edge detection algorithm.
Illustratively, the image after edge detection and shape recognition is as shown in Figure 4.
Step 104, according to the result of edge detection and shape recognition as a result, calculating the position coordinates of fuel filling taper sleeve.
Optionally, the position coordinates for calculating fuel filling taper sleeve can be implemented by the following steps:
Least square ellipse fitting is carried out by the edge of the bicyclic characteristic area to fuel filling taper sleeve, what is obtained is inside and outside ellipse The ratio between circle long axis;
If the ratio between inside and outside transverse is within the set range, the bicyclic bicyclic characteristic area for fuel filling taper sleeve that detects Domain;
If the ratio between inside and outside transverse not within the set range, detect it is bicyclic be not fuel filling taper sleeve bicyclic spy Levy region.
Wherein, the equation expression formula of plane ellipse at any position are as follows:
In formula, (x0,y0) indicate elliptical barycentric coodinates, a indicates major axis radius, and b indicates minor axis radius, θ indicate long axis with The angle of x-axis enables:
Then elliptic equation can be rewritten are as follows:
x2+Axy+By2+ Cx+Dy+E=0
It, should be by seeking objective function according to the principle of least square
To determine parameter A, B, C, D, E, wherein k=1,2,3 ... ..., n (n > 5).
According to extremum principle, F value to be made is minimum, then:
Elliptical center coordinate can be obtained after obtaining the value of A, B, C, D, E in solution are as follows:
Illustratively, it is as shown in Figure 5 to resolve image for the position of centre of gravity of fuel filling taper sleeve and position coordinates.
Step 105, the motion state of fuel filling taper sleeve is tracked and locked according to position coordinates.
Optionally, it is tracked according to position coordinates and the motion state for locking fuel filling taper sleeve can be by following steps come real It is existing:
Judge that the second image whether there is to block;It blocks if it does not exist, then tracks and lock the motion state of fuel filling taper sleeve; It blocks if it exists, then predicts the optimal location of fuel filling taper sleeve.
In one example, according to pinhole imaging system principle, in the situation known to fuel filling taper sleeve scale model size, camera focus Under, its depth location is resolved according to pixel number shared by fuel filling taper sleeve image in plane, specifically, can be carried out according to the following formula It calculates:
Wherein, L is fuel filling taper sleeve scale model size, and f is camera focus, and l is shared by fuel filling taper sleeve image in plane Pixel number, Z are distance of the zero point of reference frame where camera to fuel filling taper sleeve place plane.
Step 106, according to motion state, air refuelling is carried out to aircraft.
Air refuelling method provided in this embodiment based on machine vision accurately can measure and track the fortune of tapered sleeve It is dynamic, obtain accurate tapered sleeve relative position parameter, and this method resolving speed of service is fast, strong robustness is adapted to centainly It tapered sleeve movement deformation, the random motion of degree and the case where of occurring in air refuellings such as blocks, there is preferable Practical Project to answer With value.
So far, it has been combined preferred embodiment shown in the drawings and describes the technical solution of the application, still, this field Technical staff is it is easily understood that the protection scope of the application is expressly not limited to these specific embodiments.Without departing from this Under the premise of the principle of application, those skilled in the art can make equivalent change or replacement to the relevant technologies feature, these Technical solution after change or replacement is fallen within the protection scope of the application.

Claims (10)

1. a kind of air refuelling method based on machine vision characterized by comprising
Obtain the first image of fuel filling taper sleeve, wherein the fuel filling taper sleeve includes twin nuclei;
The first image is handled, the second image is obtained;
Edge detection and shape recognition are carried out to second image;
According to the result of the edge detection and the shape recognition as a result, calculating the position coordinates of the fuel filling taper sleeve;
The motion state of the fuel filling taper sleeve is tracked and locked according to the position coordinates;
According to the motion state, air refuelling is carried out to aircraft.
2. the air refuelling method according to claim 1 based on machine vision, which is characterized in that the first image Color mode is RGB mode;
It is described that the first image is handled, obtain the second image, comprising:
The first image is converted into HSV color space by rgb color space;
Using best H threshold value, best S threshold value and best V threshold value, the first image is filtered;
Filtered image is second image.
3. the air refuelling method according to claim 2 based on machine vision, which is characterized in that the best H threshold value It is 80, the best S threshold value is 80, and the best V threshold value is 50.
4. the air refuelling method according to claim 2 based on machine vision, which is characterized in that described by described first Image is converted to HSV color space by rgb color space, using following formula:
V=max (R, G, B)
H=H+360 (H < 0).
5. the air refuelling method according to claim 1 based on machine vision, which is characterized in that described to described second Image carries out edge detection and shape recognition, comprising:
Edge detection and shape recognition are carried out to second image by Canny edge detection algorithm.
6. the air refuelling method according to claim 1 based on machine vision, which is characterized in that described according to the side Edge detection result and the shape recognition as a result, calculating the position coordinates of the fuel filling taper sleeve, comprising:
Least square ellipse fitting is carried out by the edge of the bicyclic characteristic area to the fuel filling taper sleeve, what is obtained is inside and outside ellipse The ratio between circle long axis;
If the ratio between described inside and outside transverse is within the set range, the bicyclic bicyclic spy for the fuel filling taper sleeve that detects Levy region;
If the ratio between described inside and outside transverse not in the setting range, detect it is bicyclic be not the fuel filling taper sleeve Bicyclic characteristic area.
7. the air refuelling method according to claim 6 based on machine vision, which is characterized in that described by described The edge of the bicyclic characteristic area of fuel filling taper sleeve carries out least square ellipse fitting, is calculated as the following formula:
Wherein,
(x0,y0) indicating elliptical barycentric coodinates, a indicates major axis radius, and b indicates minor axis radius, and θ indicates the folder of long axis and x-axis Angle.
8. the air refuelling method according to claim 1 based on machine vision, which is characterized in that described according to institute's rheme It sets coordinate tracking and locks the motion state of the fuel filling taper sleeve, comprising:
Judge that second image whether there is to block;
It blocks if it does not exist, then tracks and lock the motion state of the fuel filling taper sleeve.
9. the air refuelling method according to claim 8 based on machine vision, which is characterized in that described according to institute's rheme It sets coordinate tracking and locks the motion state of the fuel filling taper sleeve, further includes:
It blocks if it exists, then predicts the optimal location of the fuel filling taper sleeve.
10. the air refuelling method according to claim 1 based on machine vision, which is characterized in that measure institute as the following formula It states the center of fuel filling taper sleeve and resolves the position coordinates of the fuel filling taper sleeve:
Wherein, L is fuel filling taper sleeve scale model size, and f is camera focus, and l is pixel shared by fuel filling taper sleeve image in plane Number, Z are distance of the zero point of reference frame where camera to fuel filling taper sleeve place plane.
CN201811413048.XA 2018-11-23 2018-11-23 Air refuelling method based on machine vision Pending CN109636853A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811413048.XA CN109636853A (en) 2018-11-23 2018-11-23 Air refuelling method based on machine vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811413048.XA CN109636853A (en) 2018-11-23 2018-11-23 Air refuelling method based on machine vision

Publications (1)

Publication Number Publication Date
CN109636853A true CN109636853A (en) 2019-04-16

Family

ID=66069040

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811413048.XA Pending CN109636853A (en) 2018-11-23 2018-11-23 Air refuelling method based on machine vision

Country Status (1)

Country Link
CN (1) CN109636853A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111123982A (en) * 2019-12-31 2020-05-08 中国航空工业集团公司沈阳飞机设计研究所 Unmanned aerial vehicle air refueling simulation test device
CN112862862A (en) * 2021-02-10 2021-05-28 中国飞行试验研究院 Airplane autonomous oil receiving device based on artificial intelligence visual tracking and application method
CN114771849A (en) * 2022-04-15 2022-07-22 中国航空工业集团公司沈阳飞机设计研究所 Active control hose air refueling system and aircraft with same

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105825505A (en) * 2016-03-14 2016-08-03 北京航空航天大学 Vision measurement method facing boom air refueling
CN106052650A (en) * 2016-07-21 2016-10-26 中国人民解放军空军工程大学 Drogue spatial attitude measuring method and system
CN106251337A (en) * 2016-07-21 2016-12-21 中国人民解放军空军工程大学 A kind of drogue space-location method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105825505A (en) * 2016-03-14 2016-08-03 北京航空航天大学 Vision measurement method facing boom air refueling
CN106052650A (en) * 2016-07-21 2016-10-26 中国人民解放军空军工程大学 Drogue spatial attitude measuring method and system
CN106251337A (en) * 2016-07-21 2016-12-21 中国人民解放军空军工程大学 A kind of drogue space-location method and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
周晓达 等: "基于Kalman预测的空中加油锥套跟踪方法", 《数据采集与处理》 *
支健辉 等: "CamShift 在加油锥套识别跟踪中的应用", 《飞行力学》 *
王旭峰 等: "一种基于 HSV 色彩空间的加油锥套特征提取方法", 《计算机应用与软件》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111123982A (en) * 2019-12-31 2020-05-08 中国航空工业集团公司沈阳飞机设计研究所 Unmanned aerial vehicle air refueling simulation test device
CN111123982B (en) * 2019-12-31 2023-04-14 中国航空工业集团公司沈阳飞机设计研究所 Unmanned aerial vehicle air refueling simulation test device
CN112862862A (en) * 2021-02-10 2021-05-28 中国飞行试验研究院 Airplane autonomous oil receiving device based on artificial intelligence visual tracking and application method
CN112862862B (en) * 2021-02-10 2023-11-17 中国飞行试验研究院 Aircraft autonomous oil receiving device based on artificial intelligence visual tracking and application method
CN114771849A (en) * 2022-04-15 2022-07-22 中国航空工业集团公司沈阳飞机设计研究所 Active control hose air refueling system and aircraft with same

Similar Documents

Publication Publication Date Title
US11151741B2 (en) System and method for obstacle avoidance
RU2609434C2 (en) Detection of objects arrangement and location
JP5480914B2 (en) Point cloud data processing device, point cloud data processing method, and point cloud data processing program
CN107063261B (en) Multi-feature information landmark detection method for precise landing of unmanned aerial vehicle
JP5671281B2 (en) Position / orientation measuring apparatus, control method and program for position / orientation measuring apparatus
CN109636853A (en) Air refuelling method based on machine vision
CN103697855B (en) A kind of hull horizontal attitude measuring method detected based on sea horizon
Dusha et al. Attitude estimation for a fixed-wing aircraft using horizon detection and optical flow
CN108765489A (en) A kind of pose computational methods, system, medium and equipment based on combination target
JP2016197287A (en) Information processing apparatus, information processing method, and program
EP3155369B1 (en) System and method for measuring a displacement of a mobile platform
EP3032818A1 (en) Image processing device and markers
JP2015184767A (en) Information processor, information processing method, position attitude estimation device and robot system
US11132802B2 (en) Method of detecting moving objects from a temporal sequence of images
CN107592922A (en) Method for implementing operation to ground
CN109597086A (en) A kind of motion measuring method of the outer hanging object of contactless helicopter
CN109060290A (en) The method that wind-tunnel density field is measured based on video and Sub-pixel Technique
Martínez et al. Towards autonomous air-to-air refuelling for UAVs using visual information
JP5976089B2 (en) Position / orientation measuring apparatus, position / orientation measuring method, and program
CN105447431A (en) Docking airplane tracking and positioning method and system based on machine vision
Del Pizzo et al. Reliable vessel attitude estimation by wide angle camera
JP2010009236A (en) Plane area estimation device and program
Vera et al. Determination of the center of radial distortion for a camera lens
CN112862862B (en) Aircraft autonomous oil receiving device based on artificial intelligence visual tracking and application method
CN104658004B (en) A kind of air refuelling auxiliary marching method based on video image

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

Application publication date: 20190416