CN106204443A - A kind of panorama UAS based on the multiplexing of many mesh - Google Patents
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Abstract
The invention discloses a kind of panorama UAS based on the multiplexing of many mesh, panorama UAS can make unmanned plane acquisition panoramic mosaic image without dead angle when flight by visual unit, to allow the control flight condition intuitively of remote manipulation user;The distance of target object distance unmanned plane can be measured by range cells;Reconstruction unit is utilized can earth's surface object or landform to be rebuild;Use hovering unit can control unmanned plane to hover in aerial so that photographing panorama picture range finding etc. operate;Use avoidance unit can avoid obstacle in unmanned plane during flying process, utilize control unit correction flight path to ensure the safety of unmanned plane during flying.
Description
Technical field
The present invention relates to unmanned plane field, particularly relate to a kind of panorama UAS based on the multiplexing of many mesh.
Background technology
Along with raising and the increasing market demand of science and technology, unmanned plane is increasingly had a preference for by user,
The field of its application mainly has: country ecological environmental protection, mineral resources exploration, ocean environment monitoring, land use survey, water
Development of resources, Grain Growth Situation detection and the yield by estimation, agricultural operation, natural disaster detection and assessment, urban planning and municipal administration,
Forest disease and pest protection and detection, public safety, Defence business, digital earth and advertisement photography etc..But, existing unmanned
The function that facility have is less, owing to the restriction of its volume and gravity and prior art cannot have several functions concurrently, such as limited sight
Cannot automatically fly in the space of little scope, need user's remote manual control, in case unmanned aerial vehicle wall is damaged.
Summary of the invention
The problems referred to above existed for existing unmanned plane, now provide one to aim at collection and find range, rebuild, hover and keep away
The panorama UAS based on the multiplexing of many mesh that barrier is integrated.
Concrete technical scheme is as follows:
A kind of panorama UAS based on the multiplexing of many mesh, is applied in unmanned plane, including:
One visual unit, including a plurality of cameras, a plurality of described cameras are arranged on described unmanned plane, for picked-up with described
Unmanned plane is the panoramic mosaic image at 360 degree of visual angles of optic centre, and the part visual angle of two described cameras that position is adjacent is overlapping;
One range cells, connects described visual unit, uses binocular stereo vision measurement method to obtain described unmanned plane distance objective
The distance of object;
One reconstruction unit, connects described visual unit, in order to described panoramic mosaic image to carry out pretreatment, obtains three-dimensional point cloud
Data are to carry out terrain reconstruction according to described three dimensional point cloud;
One hovering unit a, it is provided that three dimensional space coordinate, described hovering unit hovers in described in order to control described unmanned plane
The locus of three dimensional space coordinate coupling;
One avoidance unit a, it is provided that flight path and secure threshold, in order to timing detection in described flight path described in distance
Whether the barrier of unmanned plane reaches described secure threshold, the dyspoiesis information when reaching described secure threshold, and exports;
One control unit, connect respectively described visual unit, described range cells, described reconstruction unit, described hovering unit and
Described avoidance unit, according to flight path described in described avoidance Information revision, and generates described three dimensional space coordinate, controls described
Hovering unit performs hovering operation according to described three dimensional space coordinate.
Preferably, described visual unit includes:
One demarcating module, in order to demarcate a plurality of described cameras respectively, to obtain the inner parameter of each described camera
And external parameter, to obtain image coordinate in world coordinate system and the seat in image coordinate system that each described camera obtains
Target mapping relations;
One processing module, connects described demarcating module, and image described in every width carries out denoising respectively, and by all of described
Image projection, under unified coordinate system, uses image interpolation to process described image, carries out the image entered after processing
Coupling splicing is to obtain described panoramic mosaic image.
Preferably, described range cells includes:
One acquisition module, in order to obtain the position coordinates of described target object;
One locating module, the position coordinates current in order to obtain described unmanned plane;
One computing module, connects described acquisition module and described locating module, respectively in order to the position according to described target object
Coordinate and the current position coordinates of described unmanned plane calculate to obtain the described unmanned plane distance apart from described target object.
Preferably, the described camera that described acquisition module is adjacent by controlling wantonly one or two position in described visual unit
To carry out binocular stereo vision measurement, to obtain the position coordinates of described target object.
Preferably, described reconstruction unit, after described panoramic mosaic image carries out pretreatment, extracts described in continuous print two width
Feature point pairs figure in panoramic mosaic image mates two-by-two, to obtain corresponding point pair, uses three according to described corresponding point
Keratinization method obtains described three dimensional point cloud, to carry out terrain reconstruction according to described three dimensional point cloud.
Preferably, described pretreatment includes described panoramic mosaic image is carried out denoising and/or radiant correction.
Preferably, described hovering unit includes:
One detection module, for carrying out feature point detection with predetermined time interval according to described panoramic mosaic image, has to obtain
Effect characteristic point, according to described characteristic point position in position and world coordinate system in described panoramic mosaic image, obtains described
The three-dimensional coordinate of unmanned plane;
One judge module, connects described detection module, in order to judge the three-dimensional coordinate of two described unmanned planes that continuously acquires it
Difference, whether more than predetermined threshold value, if beyond predetermined threshold value, exports revision directive;
One correcting module, connects described judge module, in order to the current spatial according to unmanned plane described in described revision directive correction
Position.
Preferably, also include:
One tracking cell, connects described control unit, in order to detect moving target, generates according to testing result and follows the tracks of road
Footpath, is tracked described moving target according to described track path.
The beneficial effect of technique scheme:
The technical program can make unmanned plane acquisition panoramic mosaic image without dead angle when flight, to allow remote control by visual unit
The control flight condition intuitively of operation user;The distance of target object distance unmanned plane can be measured by range cells;Utilize
Earth's surface object or landform can be rebuild by reconstruction unit;Use hovering unit can control unmanned plane to hover in aerial to shoot
Panoramic picture range findings etc. operate;Use avoidance unit can avoid obstacle in unmanned plane during flying process, utilize control unit correction
Flight path is to ensure the safety of unmanned plane during flying.
Accompanying drawing explanation
Fig. 1 is the module map of a kind of embodiment of panorama UAS based on the multiplexing of many mesh of the present invention;
Fig. 2 is the schematic diagram that binocular stereo vision is measured.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, those of ordinary skill in the art obtained on the premise of not making creative work all its
His embodiment, broadly falls into the scope of protection of the invention.
It should be noted that in the case of not conflicting, the embodiment in the present invention and the feature in embodiment can phases
Combination mutually.
The invention will be further described with specific embodiment below in conjunction with the accompanying drawings, but not as limiting to the invention.
As it is shown in figure 1, a kind of panorama UAS based on the multiplexing of many mesh, it is applied in unmanned plane, including:
One visual unit, including a plurality of cameras, a plurality of cameras are arranged on unmanned plane, for picked-up with unmanned plane as vision
The panoramic mosaic image at 360 degree of visual angles, center, the part visual angle of two cameras that position is adjacent is overlapping;
One range cells, connect visual unit, use binocular stereo vision measurement method obtain unmanned plane distance objective object away from
From;
One reconstruction unit, connects visual unit, in order to panoramic mosaic image to carry out pretreatment, obtains three dimensional point cloud with root
Terrain reconstruction is carried out according to three dimensional point cloud;
One hovering unit, it is provided that a three dimensional space coordinate, hovering unit in order to control unmanned plane hover in three dimensional space coordinate
The locus of coupling;
One avoidance unit a, it is provided that flight path and secure threshold, in order to timing detection distance unmanned plane in flight path
Whether barrier reaches secure threshold, the dyspoiesis information when reaching secure threshold, and exports;
One control unit, connects visual unit, range cells, reconstruction unit, hovering unit and avoidance unit, respectively according to avoidance
Information revision flight path, and generate three dimensional space coordinate, control hovering unit and perform hovering operation according to three dimensional space coordinate.
The present embodiment integrates range finding, rebuilds, hovers and avoidance has several functions, and the flight for unmanned plane provides
Several functions.Unmanned plane acquisition panoramic mosaic image without dead angle when flight can be made, to allow remote manipulation by visual unit
The control flight condition intuitively of user;The distance of target object distance unmanned plane can be measured by range cells;Utilize and rebuild
Earth's surface object or landform can be rebuild by unit;Use hovering unit can control unmanned plane to hover in aerial to pan
Image range findings etc. operate;Use avoidance unit can avoid obstacle in unmanned plane during flying process, utilize control unit correction to fly
Route is to ensure the safety of unmanned plane during flying.
In a preferred embodiment, visual unit includes:
One demarcating module, in order to demarcate a plurality of cameras respectively, to obtain the inner parameter of each camera and outside ginseng
Number, to obtain image coordinate in world coordinate system and the mapping pass of the coordinate in image coordinate system that each camera obtains
System;
One processing module, connects demarcating module, and each image carries out denoising respectively, and by all of image projection to system
Under the coordinate system of, use image interpolation that image is processed, the image entered after processing is carried out coupling splicing complete to obtain
Scape stitching image.
In the present embodiment, a plurality of cameras are respectively arranged at the top of inorganic people, sidepiece and bottom, have one to obtain
Determine the image of degree of overlapping, panoramic mosaic image will be spliced into through pretreated multiple image, to realize at image scale
Obtain bigger shooting area under conditions of constant, definition is constant, reduce unmanned plane during flying number of times.By demarcating module to camera
Demarcate, obtain inner parameter and the external parameter of camera, thus obtain in world coordinate system coordinate with in image coordinate system
The mapping relations one by one of coordinate.Utilize processing module that image carries out the pretreatment such as denoising, then project image onto unified
Under coordinate system, after image interpolation operates, carry out the operations such as images match, finally obtain seamless panoramic mosaic image.
In a preferred embodiment, range cells includes:
One acquisition module, in order to obtain the position coordinates of target object;
One locating module, the position coordinates current in order to obtain unmanned plane;
One computing module, connects acquisition module and locating module, respectively in order to the position coordinates according to target object and unmanned plane
Current position coordinates calculates to obtain the distance of unmanned plane distance objective object.
Further, acquisition module is by controlling the adjacent camera in wantonly one or two position in visual unit to carry out binocular
Stereo-visiuon measurement, to obtain the position coordinates of target object.
In the present embodiment, acquisition module controls wantonly one or two adjacent camera, thus sets up binocular stereo vision and measure,
Obtain the position coordinates of target object.
The principle that binocular stereo vision is measured is as follows:
As a example by image A in Fig. 2 is and image B: pointPIt is a bit in space in observed object, in left camera coordinates system
Three-dimensional coordinate be (X C , Y C , Z C ), the image space on two width images is respectivelyP a(x 1, y 1)、P b(x 2, y 2), pass through
The geometrical relationship of similar triangles can obtain:
Wherein,x 1、y 1、x 2、y 2It is the physical coordinates in plane picture,B C It is the external parameter (baseline distance) of camera,fCamera
Inner parameter (focal length), | | for parallax, i.e. pointPPosition skew in two sub-pictures.Owing to camera is in vertical direction
Same plane, thereforey=y 1=y 2, then parallax is |x 1- x 2|。
Inner parameter according to camera and the distortion parameter of camera lens, obtain during binocular stereo vision is measured the phase related to
Machine attitude parameter (i.e. external parameter) under current angular, measure target object position coordinates (), and root
Obtain, according to locating module, the position coordinates that unmanned plane is current, then try to achieve the distance of target object distance unmanned plane.
In a preferred embodiment, reconstruction unit, after panoramic mosaic image carries out pretreatment, extracts continuous print two width complete
Feature point pairs figure in scape stitching image mates two-by-two, to obtain corresponding point pair, uses trigonometric ratio side according to corresponding point
Method obtains three dimensional point cloud, to carry out terrain reconstruction according to three dimensional point cloud.
Further, pretreatment includes panoramic mosaic image is carried out denoising and/or radiant correction.
In the present embodiment, reconstruction unit carries out denoising, radiation rectification etc. and processes panoramic mosaic image, extracts image special
Levying a little, and image is mated by distinguished point based two-by-two, deletion error coupling is right, obtains more accurate corresponding point.There is mark
Fixed image and corresponding image characteristic point, just can obtain three-dimensional point cloud coordinate by Triangulation Algorithm for registration result, right
Image carries out trigonometric ratio, obtains three dimensional point cloud, three dimensional point cloud carries out gridding process and carries out texture mapping, from
And complete terrain reconstruction.
In a preferred embodiment, hovering unit includes:
One detection module, for carrying out feature point detection with predetermined time interval according to panoramic mosaic image, the most special to obtain
Levy a little, according to characteristic point position in position and world coordinate system in panoramic mosaic image, obtain the three-dimensional coordinate of unmanned plane;
One judge module, connection detection module, in order to judge that the difference of the three-dimensional coordinate of two unmanned planes continuously acquired is the biggest
In predetermined threshold value, if beyond predetermined threshold value, export revision directive;
One correcting module, connection judgment module, in order to the current spatial location according to revision directive correction unmanned plane.
In the present embodiment, hovering unit is to be fixed on by unmanned plane on default height and position and horizontal level,
Will be fixed on one group of three-dimensional coordinate by unmanned plane.When hovering operation, need to utilize multiple camera that scene around is taken pictures,
Then image is carried out feature point detection, find effective characteristic point.And the characteristic point in each image is mated, find
Characteristic of correspondence point pair.According to Binocular Vision Principle, by feature point pairs position in image and world coordinate system, inverse goes out
The three-dimensional coordinate of video camera.Shoot one group of image again every certain time, if obtained three-dimensional coordinate with last obtain three
The difference of dimension coordinate is more than predetermined threshold value, then be modified the current spatial location of unmanned plane by correcting module.On repeating
State operation, till terminating hovering operation.
In a preferred embodiment, also include:
One tracking cell, connects control unit, in order to detect moving target, generates track path according to testing result,
According to track path, moving target is tracked.
In the present embodiment, the detailed process being tracked moving target is:
1) estimation (global motion compensation): in view of the Displacement Estimation i.e. global motion compensation of background, background need to be removed
Impact, eliminates error, lays the foundation for follow-up moving object detection and tracking;The three parameter model rotating translation is used to estimate
The image background displacement that meter is produced by camera motion;
2) target detection: utilize background subtraction to detect moving target.The extraction of moving target can be by present image and the back of the body
The difference of scape image obtains.When camera is static, present image isI k+1(r,t), background image isu k+1(r,t), in image
The change information of each pixel value is D k+1(r,t);
D k+1(r,t)=| I k+1(r,t)- u k+1(r,t)|
Wherein,I k+1(r,t) andu k+1(r,t) can be a certain pixel value of image, such as brightness, it is also possible to be that some of image is special
Levy, such as color.Work as D k+1(r,t) when reaching a predetermined threshold value, then may be considered moving target.
3) target following: after completing target detection, obtains the letters such as the position of moving target, size and shape from image
Breath, using moving target as a template, obtains one piece of region from image, calculates respective pixel between this block region and template
Correlation coefficient, thus realize tracking to target.
On the basis of technique scheme, further, during unmanned plane flight aloft, it is typically all according to planning in advance
Good route carries out flying.When unmanned plane runs into barrier in flight course (such as building, big tree etc.), can be by keeping away
Barrier unit cut-through thing also comes back to continue on initial plan route flight.When unmanned plane is in low altitude flight, utilization regards
Feel that unit controls to open multiple heading camera.Utilize the topography rebuild, the flight path of unmanned plane is done rule
Draw.Performance setting secure threshold (i.e. safe distance) according to unmanned plane.Utilize range cells that objects ahead is found range, sentence
Whether disconnected distance between target and unmanned plane is less than safe distance;If being less than, then utilize and control hovering list by control unit
Unit performs hovering operation will allow unmanned plane hover, and cut-through thing, finally come back to continuation in the flight path planned
Flight.
The present invention may utilize unmanned plane, obtains the large scale panoramic mosaic image clearly of multiple angle;By unmanned
The functions such as the range finding of machine, hovering, avoidance, reconstruction, make unmanned plane have greater flexibility and higher safety when flight.Also
The unmanned plane tracking to moving target can be realized so that the purposes of unmanned plane is abundanter.The present invention be integrated with splicing, range finding,
The several functions such as hovering, avoidance, terrain reconstruction, tracking, take full advantage of multiple cameras of configuration on unmanned plane.
The foregoing is only preferred embodiment of the present invention, not thereby limit embodiments of the present invention and protection model
Enclose, to those skilled in the art, it should can appreciate that done by all utilization description of the invention and diagramatic content
Scheme obtained by equivalent and obvious change, all should be included in protection scope of the present invention.
Claims (8)
1. a panorama UAS based on the multiplexing of many mesh, is applied in unmanned plane, it is characterised in that including:
One visual unit, including a plurality of cameras, a plurality of described cameras are arranged on described unmanned plane, for picked-up with described
Unmanned plane is the panoramic mosaic image at 360 degree of visual angles of optic centre, and the part visual angle of two described cameras that position is adjacent is overlapping;
One range cells, connects described visual unit, uses binocular stereo vision measurement method to obtain described unmanned plane distance objective
The distance of object;
One reconstruction unit, connects described visual unit, in order to described panoramic mosaic image to carry out pretreatment, obtains three-dimensional point cloud
Data are to carry out terrain reconstruction according to described three dimensional point cloud;
One hovering unit a, it is provided that three dimensional space coordinate, described hovering unit hovers in described in order to control described unmanned plane
The locus of three dimensional space coordinate coupling;
One avoidance unit a, it is provided that flight path and secure threshold, in order to timing detection in described flight path described in distance
Whether the barrier of unmanned plane reaches described secure threshold, the dyspoiesis information when reaching described secure threshold, and exports;
One control unit, connect respectively described visual unit, described range cells, described reconstruction unit, described hovering unit and
Described avoidance unit, according to flight path described in described avoidance Information revision, and generates described three dimensional space coordinate, controls described
Hovering unit performs hovering operation according to described three dimensional space coordinate.
2. panorama UAS based on the multiplexing of many mesh as claimed in claim 1, it is characterised in that described visual unit bag
Include:
One demarcating module, in order to demarcate a plurality of described cameras respectively, to obtain the inner parameter of each described camera
And external parameter, to obtain image coordinate in world coordinate system and the seat in image coordinate system that each described camera obtains
Target mapping relations;
One processing module, connects described demarcating module, and image described in every width carries out denoising respectively, and by all of described
Image projection, under unified coordinate system, uses image interpolation to process described image, carries out the image entered after processing
Coupling splicing is to obtain described panoramic mosaic image.
3. panorama UAS based on the multiplexing of many mesh as claimed in claim 1, it is characterised in that described range cells bag
Include:
One acquisition module, in order to obtain the position coordinates of described target object;
One locating module, the position coordinates current in order to obtain described unmanned plane;
One computing module, connects described acquisition module and described locating module, respectively in order to the position according to described target object
Coordinate and the current position coordinates of described unmanned plane calculate to obtain the described unmanned plane distance apart from described target object.
4. panorama UAS based on the multiplexing of many mesh as claimed in claim 3, it is characterised in that described acquisition module leads to
Cross the adjacent described camera in wantonly one or two position controlling in described visual unit to carry out binocular stereo vision measurement, to obtain
The position coordinates of described target object.
5. panorama UAS based on the multiplexing of many mesh as claimed in claim 1, it is characterised in that described reconstruction unit exists
After described panoramic mosaic image carries out pretreatment, the feature point pairs figure extracted in panoramic mosaic image described in continuous print two width enters
Row mates two-by-two, to obtain corresponding point pair, uses Triangulation Algorithm to obtain described three dimensional point cloud according to described corresponding point, with
Terrain reconstruction is carried out according to described three dimensional point cloud.
6. the panorama UAS based on the multiplexing of many mesh as described in claim 1 or 5, it is characterised in that described pretreatment
Denoising and/or radiant correction is carried out including to described panoramic mosaic image.
7. panorama UAS based on the multiplexing of many mesh as claimed in claim 1, it is characterised in that described hovering unit bag
Include:
One detection module, for carrying out feature point detection with predetermined time interval according to described panoramic mosaic image, has to obtain
Effect characteristic point, according to described characteristic point position in position and world coordinate system in described panoramic mosaic image, obtains described
The three-dimensional coordinate of unmanned plane;
One judge module, connects described detection module, in order to judge the three-dimensional coordinate of two described unmanned planes that continuously acquires it
Difference, whether more than predetermined threshold value, if beyond predetermined threshold value, exports revision directive;
One correcting module, connects described judge module, in order to the current spatial according to unmanned plane described in described revision directive correction
Position.
8. panorama UAS based on the multiplexing of many mesh as claimed in claim 1, it is characterised in that also include:
One tracking cell, connects described control unit, in order to detect moving target, generates according to testing result and follows the tracks of road
Footpath, is tracked described moving target according to described track path.
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