CN107610152A - A kind of path detection method for being used to hide the water surface and barrier - Google Patents

A kind of path detection method for being used to hide the water surface and barrier Download PDF

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CN107610152A
CN107610152A CN201710771679.8A CN201710771679A CN107610152A CN 107610152 A CN107610152 A CN 107610152A CN 201710771679 A CN201710771679 A CN 201710771679A CN 107610152 A CN107610152 A CN 107610152A
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depth
height
infrared
value
map
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CN107610152B (en
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杨恺伦
黄昊宇
余致远
韩姗珊
周科洋
汪凯巍
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Hangzhou Vision Krypton Technology Co Ltd
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Hangzhou Vision Krypton Technology Co Ltd
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Abstract

The invention discloses a kind of path detection method for being used to hide the water surface and barrier, for guiding blind person to go to the passage region of no barrier and the water surface.This method is realized by the hardware such as the red speckle projector, two infrared cameras, attitude angle transducers.The present invention has been significantly increased blind person's avoiding obstacles with the water surface and has selected the security and convenience in current direction, the water surface and barrier zone are avoided in trip beneficial to blind person, correct path is found, there is good environmental adaptability can be used under motion conditions, the advantages of learning cost is low.

Description

A kind of path detection method for being used to hide the water surface and barrier
Technical field
It is used to hide the path detection method of the water surface and barrier the present invention relates to a kind of,.
Background technology
According to the data of the World Health Organization, the whole world there are about 2.85 hundred million visually impaired peoples, wherein blind person up to 39,000,000.It is blind People can not effectively distinguish the landform in front due to lacking normal vision, and predicting barrier and the water surface and selection can pass through road Line.Depth transducer based on laser speckle coding or binocular vision technology, the color data stream and depth of high-speed can be obtained Degrees of data stream, therefore sprawled using applying of being detected of these sensors in blind visual field of auxiliary.
However, the depth transducer based on laser speckle coding, depth letter is calculated according to the change in location for receiving speckle Breath, because speckle is flooded in outdoor by sunlight, depth information can not be calculated according to the change of speckle, therefore in outdoor failure.And Depth transducer based on binocular vision technology, carry out images match according to two images and calculate depth information, but indoors White wall that many textures lack can not calculate depth information at floor, therefore generally in the outside work of texture-rich.
The content of the invention
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to provide a kind of path for being used to hide the water surface and barrier Detection method.
The purpose of the present invention is achieved through the following technical solutions:A kind of path inspection for being used to hide the water surface and barrier Survey method, comprises the following steps:
(1) the infrared speckle of scene simulation forwards;Scene under infrared projection is infrared by two after linear polarizer filters Camera gathers, and obtains two infrared images respectively;The polarization state of the image of two camera collections is vertical, the polarization state of one of them For horizontal direction, another is vertical direction, and the angle of pitch of two infrared cameras is a, roll angle b;
(2) binocular solid matching is carried out to two width infrared images, obtains a width disparity map Disparity;Utilize disparity map Disparity, the corresponding points (u', v) corresponding to any point (u, v) in left infrared figure are found in right view, meet u'-u =disparity, disparity are the parallax value of pixel (u, v) in disparity map Disparity;Then by left infrared figure Any point (u, v) infrared gray value IRL(u,v)With the infrared gray value IR of corresponding points (u', v) in right infrared figureL(u',v)Do Difference, polarization differential figure Polarization is obtained, in wherein polarization differential figure Polarization, the value of pixel (u, v) is (partially Shake difference value polarization) be | IRL(u,v)-IRL(u',v)|;
(3) disparity map Disparity is utilized, obtains pixel (u, v) in width a depth map Depth, depth map Depth Depth value depth is depth=f × Baseline/disparity, wherein, f is the focal length of two infrared cameras, Baseline For the parallax range between two infrared cameras;
(4) every bit (u, v) is calculated in depth map Depth relative to left infrared camera photocentre (u0,v0) three-dimensional coordinate (x, y, z), so as to obtain a width height map Height;In height map Height, the height value height of pixel (u, v) is:
Height=x × sin (b)+y × cos (a) × cos (b)-z × sin (a) × cos (b);
Wherein x=(u-u0) × depth/f, y=(v-v0) × depth/f, z=depth;Depth is depth map Depth The depth value of middle pixel (u, v);
(5) depth map Depth each row are traveled through, finds out and meets corresponding points in height map Height in each row Height value CorrHeight is less than threshold value HeightThreshold minimum depth value MinDepthObs, while finds out each Row meet that height value CorrHeight of the corresponding points in height map Height is more than threshold value HeightThreshold and polarized Polarization differential value CorrPolarization in difference diagram Polarization is more than threshold value PolarizationThreshold Minimum depth value MinDepthWat.Less value MinDepth in MinDepthObs and MinDepthWat is taken in each row, Form the distance Curve MinTraversableLine that can pass through recently.
(6) the peak Peak that can pass through recently on distance Curve MinTraversableLine is searched, while from highest Point Peak to two-sided search, search can pass through distance for peak half two nearest half height point HalfLeft with HalfRight, it is to pass through relative to the direction of left infrared camera photocentre to take the midpoint Mid of two half height points, midpoint Mid Direction.
Further, the threshold value HeightThreshold is equal to the height h of infrared camera;Threshold value PolarizationThreshold is adjusted according to the maximum brightness of infrared image, generally the 0.75~0.8 of maximum brightness Times.
Further, if the peak Peak that can be passed through recently on distance Curve MinTraversableLine in step 6 Have multiple, then search for half height point HalfLeft to the left from leftmost peak, searched for the right from the peak of rightmost Half height point HalfRight.
The beneficial effects of the present invention are:
1. good environmental adaptability.The present invention obtains the three-dimensional information of environment by projecting infrared speckle, indoors or night The region of texture missing, infrared speckle can strengthen texture, near in sunlight due to there is an irradiation of sunlight on outdoor or daytime Infrared composition can also allow the infrared image collected to have abundant texture.Outdoor indoors, day and night, infrared camera all may be used To obtain the infrared image of texture-rich, this is advantageous to processor and obtains dense three-dimensional information, so as to ensure blind person's reliever Mirror has good environmental suitability.In addition, this method can detect the water surface and barrier simultaneously, therefore can also be adapted to fine My god, the trip of the different weather such as rainy days, can help blind person's to avoid the danger zones such as the water surface, barrier.
2. it can be used under motion conditions.The attitude angle information of the infrared camera of collection in real time of the invention, so as to real-time The actual height of every bit in scene is obtained, the ground in case of motion and barrier can be helped distinguish between, be adapted to blind person Use.
3. learning cost is low.Patent of the present invention due to transmit every time to be that the most concerned current scene of blind person is most adapted to logical Capable direction, blind person's avoiding obstacles are helped, guides them to go on correct path, the information of redundancy will not be transmitted, therefore Learning cost is low.
Brief description of the drawings
Fig. 1 is depth map;
The face clear region and water-surface areas that Fig. 2 is represented;
Fig. 3 can pass through distance Curve figure recently, and the height of dotted line represents the distance of passing through of each row.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings.
The present invention relates to a kind of path detection method for being used to hide the water surface and barrier, this method is thrown based on red speckle The hardware such as emitter, two infrared cameras, polarizer, attitude angle transducers is realized.The wherein infrared speckle projector is used for forwards The infrared speckle of scene simulation;Scene under infrared projection is gathered by two infrared cameras, obtained respectively after linear polarizer filters Two infrared images;The angle of pitch that attitude angle transducer is used to obtain two infrared cameras in real time is a, roll angle b;Based on upper Hardware is stated, detection method of the invention is as follows:
(1) the infrared speckle projector infrared speckle of scene simulation forwards;Scene under infrared projection is filtered through linear polarizer After ripple, gathered by two infrared cameras, obtain two infrared images respectively;The polarization state of the image of two camera collections is vertical, The polarization state of one of them is horizontal direction, and another is vertical direction, and the angle of pitch of two infrared cameras is a, and roll angle is B, collected by attitude angle transducer;
(2) binocular solid matching is carried out to two width infrared images, obtains a width disparity map Disparity;(2) parallax is utilized Scheme Disparity, the corresponding points (u', v) corresponding to any point (u, v) in left infrared figure are found in right view, meet u'- U=disparity, disparity are the parallax value of pixel (u, v) in disparity map Disparity;Then by left infrared figure Any point (u, v) infrared gray value IRL(u,v)With the infrared gray value IR of corresponding points (u', v) in right infrared figureL(u',v)Do Difference, polarization differential figure Polarization is obtained, in wherein polarization differential figure Polarization, the value of pixel (u, v) is (partially Shake difference value polarization) be | IRL(u,v)-IRL(u',v)|;
(3) disparity map Disparity is utilized, a width depth map Depth is obtained, as shown in figure 1, picture in depth map Depth The depth value depth of vegetarian refreshments (u, v) is depth=f × Baseline/disparity, wherein, f is Jiao of two infrared cameras Away from Baseline is the parallax range between two infrared cameras;
(4) every bit (u, v) is calculated in depth map Depth relative to left infrared camera photocentre (u0,v0) three-dimensional coordinate (x, y, z), so as to obtain a width height map Height;In height map Height, the height value height of pixel (u, v) is:
Height=x × sin (b)+y × cos (a) × cos (b)-z × sin (a) × cos (b);
Wherein x=(u-u0) × depth/f, y=(v-v0) × depth/f, z=depth;Depth is depth map Depth The depth value of middle pixel (u, v);
(5) depth map Depth each row are traveled through, finds out and meets corresponding points in height map Height in each row Height value CorrHeight is less than threshold value HeightThreshold minimum depth value MinDepthObs, while finds out each Row meet that height value CorrHeight of the corresponding points in height map Height is more than threshold value HeightThreshold and polarized Polarization differential value CorrPolarization in difference diagram Polarization is more than threshold value PolarizationThreshold Minimum depth value MinDepthWat.Less value MinDepth in MinDepthObs and MinDepthWat is taken in each row, The distance Curve MinTraversableLine that can pass through recently is formed, as shown in Figure 3.As can be seen that passing through of detecting away from From curve with being actually consistent.
(6) the peak Peak that can pass through recently on distance Curve MinTraversableLine is searched, while from highest Point Peak to two-sided search, search can pass through distance for peak half two nearest half height point HalfLeft with HalfRight, it is to pass through relative to the direction of left infrared camera photocentre to take the midpoint Mid of two half height points, midpoint Mid Direction.
Above-mentioned threshold value HeightThreshold is equal to the height h of infrared camera;Threshold value PolarizationThreshold It is adjusted according to the maximum brightness of infrared image, generally the 0.75~0.8 of maximum brightness times.
If the peak Peak that can be passed through recently on distance Curve MinTraversableLine in step 6 have it is multiple, Half height point HalfLeft is searched for the left from leftmost peak, and half height point is searched for the right from the peak of rightmost HalfRight。

Claims (3)

1. a kind of path detection method for being used to hide the water surface and barrier, comprises the following steps:
(1) the infrared speckle of scene simulation forwards;Scene under infrared projection is after linear polarizer filters, by two infrared cameras Collection, two infrared images are obtained respectively;The polarization state of the image of two camera collections is vertical, and the polarization state of one of them is water Square to another is vertical direction, and the angle of pitch of two infrared cameras is a, roll angle b;
(2) binocular solid matching is carried out to two width infrared images, obtains a width disparity map Disparity;Utilize disparity map Disparity, the corresponding points (u', v) corresponding to any point (u, v) in left infrared figure are found in right view, meet u'-u =disparity, disparity are the parallax value of pixel (u, v) in disparity map Disparity;Then by left infrared figure Any point (u, v) infrared gray value IRL(u,v)With the infrared gray value IR of corresponding points (u', v) in right infrared figureL(u',v)Do Difference, polarization differential figure Polarization is obtained, in wherein polarization differential figure Polarization, the value of pixel (u, v) is (partially Shake difference value polarization) be | IRL(u,v)-IRL(u',v)|;
(3) disparity map Disparity is utilized, obtains the depth of pixel (u, v) in width a depth map Depth, depth map Depth Value depth is depth=f × Baseline/disparity, wherein, f is the focal length of two infrared cameras, Baseline two Parallax range between individual infrared camera;
(4) every bit (u, v) is calculated in depth map Depth relative to left infrared camera photocentre (u0,v0) three-dimensional coordinate (x, y, Z), so as to obtaining a width height map Height;In height map Height, the height value height of pixel (u, v) is:
Height=x × sin (b)+y × cos (a) × cos (b)-z × sin (a) × cos (b);
Wherein x=(u-u0) × depth/f, y=(v-v0) × depth/f, z=depth;Depth is picture in depth map Depth The depth value of vegetarian refreshments (u, v);
(5) depth map Depth each row are traveled through, finds out and meets height of the corresponding points in height map Height in each row Value CorrHeight is less than threshold value HeightThreshold minimum depth value MinDepthObs, while it is full to find out each row Height value CorrHeight of the sufficient corresponding points in height map Height is more than threshold value HeightThreshold and in polarization differential The polarization differential value CorrPolarization schemed in Polarization is more than threshold value PolarizationThreshold most Small depth value MinDepthWat.Less value MinDepth in MinDepthObs and MinDepthWat is taken in each row, is formed Can pass through distance Curve MinTraversableLine recently.
(6) the peak Peak that can pass through recently on distance Curve MinTraversableLine is searched, while from peak Peak to two-sided search, search can pass through distance for peak half two nearest half height point HalfLeft with HalfRight, it is to pass through relative to the direction of left infrared camera photocentre to take the midpoint Mid of two half height points, midpoint Mid Direction.
2. according to the method for claim 1, it is characterised in that the threshold value HeightThreshold is equal to infrared camera Height h;Threshold value PolarizationThreshold is adjusted according to the maximum brightness of infrared image, generally most highlighted 0.75~0.8 times of degree.
3. according to the method for claim 1, it is characterised in that if distance Curve can be passed through in step 6 recently Peak Peak on MinTraversableLine has multiple, then searches for half height point to the left from leftmost peak HalfLeft, half height point HalfRight is searched for the right from the peak of rightmost.
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CN109931946A (en) * 2019-04-10 2019-06-25 福州大学 Blind visual range-finding navigation method based on Android intelligent
CN109998873A (en) * 2019-04-12 2019-07-12 赖振龙 A kind of wearable blindmen intelligent positioning and blind guiding system
CN111310651A (en) * 2020-02-13 2020-06-19 杭州凌像科技有限公司 Water surface detection method based on polarization camera and RGB-D sensor
CN111354027A (en) * 2018-12-21 2020-06-30 沈阳新松机器人自动化股份有限公司 Visual obstacle avoidance method for mobile robot

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CN106203390A (en) * 2016-07-22 2016-12-07 杭州视氪科技有限公司 A kind of intelligent blind aid system
CN106228110A (en) * 2016-07-07 2016-12-14 浙江零跑科技有限公司 A kind of barrier based on vehicle-mounted binocular camera and drivable region detection method

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CN101701828A (en) * 2009-11-23 2010-05-05 常州达奇信息科技有限公司 Blind autonomous navigation method based on stereoscopic vision and information fusion
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Cited By (5)

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Publication number Priority date Publication date Assignee Title
CN111354027A (en) * 2018-12-21 2020-06-30 沈阳新松机器人自动化股份有限公司 Visual obstacle avoidance method for mobile robot
CN109931946A (en) * 2019-04-10 2019-06-25 福州大学 Blind visual range-finding navigation method based on Android intelligent
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