CN101894271A - Visual computing and prewarning method of deviation angle and distance of automobile from lane line - Google Patents

Visual computing and prewarning method of deviation angle and distance of automobile from lane line Download PDF

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CN101894271A
CN101894271A CN 201010238436 CN201010238436A CN101894271A CN 101894271 A CN101894271 A CN 101894271A CN 201010238436 CN201010238436 CN 201010238436 CN 201010238436 A CN201010238436 A CN 201010238436A CN 101894271 A CN101894271 A CN 101894271A
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lane line
automobile
line
angle
lane
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毛玉星
徐少志
何为
张占龙
余星锐
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Chongqing University
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Abstract

The invention relates to a visual computing and prewarning method of deviation angle and distance of an automobile from a lane line. The image processing and computer vision technologies are utilized, and the deviation angle and distance of the automobile from the lane line are computed in real time according to the road surface image acquired by a vehicle-mounted camera, thereby estimating the line crossing time for safety prewarning. The method comprises the following steps: detecting the lane lines of the road surface image to obtain a linear equation of partial lane lines; establishing a three-dimensional coordinate system by using the camera as the initial point, and recording the mounting height and depression angle of the camera; calibrating the focal length according to the lane detection result under the condition of a given deflection angle; computing the deflection angle and vertical distance of the automobile relative to the lane line according to a pinhole camera model; and estimating the deviation time from the lane according to the instantaneous running speed of the automobile, thereby obtaining the safety prewarning or intelligent control information of the running automobile.

Description

The vision of automobile run-off-road line angle and distance is calculated and method for early warning
Technical field
The present invention relates to a kind of application image and handle and computer vision technique,, calculate the quick calculating and the safe early warning method of the angle and distance of automobile run-off-road line in real time according to the pavement image that the vehicle-mounted pick-up head obtains.At first the road pavement image carries out the lane line detection, obtains the straight-line equation of local lane line; With the camera is that initial point is set up three-dimensional system of coordinate, the setting height(from bottom) and the angle of depression of record camera; Its focal length is calibrated, calculated the deflection angle and the vertical range of the relative lane line of automobile then according to pinhole camera modeling, estimate time of sailing out of the track, for the safe early warning in the car steering or Based Intelligent Control provide effective information.
Background technology
In recent years, the develop rapidly of automobile autonomous driving technology, and make progress gradually.The autonomous driving system of each research institution development can be on structured road (highway) high speed autonomous driving, and possessed various intelligent functions.In huge and complicated Modern Traffic system, guarantee that traffic safety is a primary goal, the automobile active safety technology is exactly by the various parameters of vehicle operating being monitored, regulated and control the purpose that reaches driver assistance, and track sideslip warning system one of major technique wherein just.
The purpose of research track sideslip warning system is that the dangerous situation that vehicle is about to roll away from the track is provided alarm, and this unsafe condition causes owing to reasons such as driver's spirit is concentrated inadequately or sleepy, fatigues mostly, belongs to unconscious run-off-road.Therefore, the bad steering state that track sideslip warning system is fundamentally said so to the driver provides warning, and wherein the computer vision measurement method is because its directly perceived, easy-to-use and reliability becomes the research direction of a main flow.This method has merged people, car, 3 systems in road, by research car-road relation, and then the anti-state that obtains the people that pushes away.
Track sideslip warning system directly depend on automobile travel speed, direction and and lane line between distance.Wherein travel speed easily directly the electronic system from the car extract and travel direction and be difficult for obtaining with the distance of lane line.The single-point that the Guo Konghui professor of Jilin University proposes is taken aim at the optimal curvature model in advance, the interior equilibrium of forces of horizontal vertical plane was determined target steering angle and target roll angle respectively when Ackerman geometric relationship when utilizing Vehicular turn and stable state turned to, adopt ADAMS software to set up driver-vehicle closed loop kinetic model, and carrying out emulation by the two-track line and the two kinds of typical driving cycles that crawl, the pilot model of being set up is applicable to the dynamics simulation research of single-track vehicle people-car closed-loop control model.
Because the lane detection technology based on graphical analysis is very ripe at present, scholars have proposed multiple lane detection algorithm, even under complex environments such as urban road, lane detection all has good effect.Because in subrange, the track distributes can be approximately straight line, and the present invention utilizes image analysis technology to carry out lane detection, obtains the lane line equation, and is that initial point is set up three-dimensional system of coordinate with the camera; Spatial information in conjunction with the camera installation, calculate the deflection angle and the vertical range of the relative lane line of automobile according to pinhole camera modeling, closing with car-road is the early warning information that foundation obtains the automobile sideslip, becomes the important technical links of guarantee driving safety in intelligent transportation system and the autonomous driving.
Summary of the invention
At existing automobile sideslip method for early warning model complexity, calculated amount is big, environmental factor dependence is strong deficiency, the vision that the purpose of this invention is to provide a kind of automobile run-off-road line angle and distance is calculated and method for early warning, this method utilizes image analysis technology to finish lane detection, employing vision computing method obtain the locus and the travel direction of automobile phase road pavement lane line, as the early warning information of automobile sideslip in the intelligent driving.
The present invention comprises following steps
A) with the CCD video frequency pick-up head along the automobile dead ahead to being installed in Che Nei or roof, adjust the angle of depression and focal length and make it, the setting height(from bottom) h and the angle of depression θ of record camera road surface blur-free imaging in the 50m of the place ahead;
B) by the camera road pavement carry out continuous shooting, collecting to the pavement image sequence, the digital video high-speed channel by DSP is realized data acquisition;
C) lane line in the road pavement image detects, and comprising:
Figure 581669DEST_PATH_IMAGE001
The image edge detects.Utilize two 5 * 5 templates respectively computing is taken advantage of-added to image, obtain two width of cloth gradient images, obtain the edge image of former figure by this two width of cloth image corresponding to level and vertical direction.The edge image is the contour feature of saliency maps so picture, especially the side information of lane line;
Figure 275955DEST_PATH_IMAGE002
The binaryzation of image.Adopt the Otsu algorithm computation to go out adaptive threshold to the edge image, image is carried out the black-and-white two color binary conversion treatment according to this threshold value;
3. remove horizontal profile: thus the subsequent treatment calculated amount reduced in order to reduce white point quantity, the characteristics that in picture, can not occur the level trend according to lane line, the horizontal edge point is merged, promptly the white point that horizontal direction is occurred continuously only keeps first white point of Far Left, thereby deletion horizontal edge, reduce white point quantity, the lane detection effect is not exerted an influence again simultaneously;
4. the application constraint condition is gone a little.Set constraint condition according to brightness, width and continuity Characteristics that actual lane line distributes, further remove noise spot;
5. obtain the lane line equation.Through after top a series of processing, effectively reduce white point quantity.The Hough conversion is a kind of straight-line detection means of extensive employing, and it determines most probable linear position by " ballot " mode, is used among the present invention realizing that lane line detects.In testing process, introduce constraint condition once more, and set minimum poll, when the straight line that satisfies the poll condition surpasses 4, keep 4 the highest straight lines of poll, finally obtain the straight-line equation of 0~4 lane line as track candidate's line;
D) the focal length parameter f of camera is demarcated.The vehicle that installs camera is parked on the direction that becomes known angle with lane line, discharges of the coke apart from f, be used for of the calculating of follow-up vehicle ' process deflection angle and vertical range according to detected lane line Equation for Calculating;
E) the deflection angle β and the vertical range d of the relative lane line of calculating automobile: in vehicle traveling process, lane line to every two field picture detects and obtains straight-line equation in real time, calculates deflection angle β and vertical range d according to the focal distance f that the height h of step a) record and angle of depression θ and step d) calibration obtain;
F) deflection angle β that obtains according to the instant travel speed and the step e) of automobile and distance parameter d calculate automobile and surmount the lane line required time, set alarm threshold value, if calculate more the line time then provide information warning less than threshold value, remind the driver in time to handle.
Patent of the present invention is addressed the operation result explanation of method:
(1) present lane detection method is nearly all used the line detection method of Hough conversion, because Hough transformation calculations amount is big, has influenced real-time.Owing to adopted multiple effective constraint condition in this method, make the point that participates in Hough conversion ballot greatly reduce, generally have only dozens of, improved speed.Experimental results show that and to satisfy real-time detection requirement fully;
(2) interference of having removed most of non-carriageway image information owing to effective constraint condition is so this method antijamming capability is strong.Experimental results show that and under the complex environment of urban road, agree to have satisfied reliability;
(3) mode of on-the-spot calibration has reduced because the influence that the error of camera itself causes has improved accuracy;
(4) angle computation method adopts the geometrical calculation form, has improved computing velocity.
In a word, the similar achievement in research that this method is present relatively, the characteristic in that oneself is all arranged aspect the environmental suitability of system, computing velocity, the reliability more helps satisfying practical application request.
Description of drawings
Fig. 1 be in the experimentation CCD camera clap road surface lane line realistic picture.
Fig. 2 is the lane detection result that step c) obtains.
Fig. 3 is the road surface schematic top view.
Fig. 4 is the road surface schematic side view.
Fig. 5 is the space coordinates illustraton of model that adopts in the algorithm.
Embodiment
Below in conjunction with a non-limiting example implementation process of the present invention is further described, referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5.
The present invention focuses on method and describes, and the experimental provision that adopts in the enforcement comprises that camera and DSP image processing board adopt common apparatus on the market to realize that the collection of image, size scaling also are popular technology, no longer are described in detail.Integrality for guaranteeing that implementation process is described can relate to some current techiques, does not have patent protection character, will offer some clarification in claims.
Embodiment of the present invention is as follows:
(a) along the automobile dead ahead to the CCD video frequency pick-up head is installed, adjust the angle of depression and focal length and make it road surface blur-free imaging in the 50m of the place ahead, the setting height(from bottom) h and the angle of depression θ of record camera see Fig. 4.
(b) lane line in the pavement image detects, and comprising:
Figure 989833DEST_PATH_IMAGE001
The image edge detects: utilize two 5 * 5 templates of formula (1), (2) respectively computing is taken advantage of-added to image, obtain two width of cloth gradient images corresponding to level and vertical direction
Figure 97467DEST_PATH_IMAGE003
With
Figure 492676DEST_PATH_IMAGE004
, then by formula Obtain the edge image
Figure 191828DEST_PATH_IMAGE006
The edge image has kept the profile information of image, especially the side information of lane line:
Figure 22643DEST_PATH_IMAGE007
(1)
Figure 283860DEST_PATH_IMAGE008
(2)
Figure 687159DEST_PATH_IMAGE002
To the edge binarization processing of images.Adopt the Otsu algorithm computation to go out adaptive threshold to the edge image, and image is carried out binary conversion treatment;
3. remove horizontal profile.Bianry image is carried out horizontal direction scanning, investigate continuous two points: if certain point is white point, and the front consecutive point are stain, then keep this white point, and the institute that does not satisfy this condition is become stain a little, are about to its gray-scale value clear 0.Can remove horizontal profile like this, reduce white point quantity greatly, and can eliminate the interference of other traffic sign, not influence lane line simultaneously and detect effect;
4. the application constraint condition is further eliminated white point.Characteristics according to actual track are set constraint condition, further remove noise spot.Used three constraint conditions among the present invention: the first, lane line is than road surface brightness height, on the lane line on gray values of pixel points and the next door road difference of gray-scale value be not less than 20; The second, the wide constraint of lane line, generally between 2~20 pixels, and there is above spaciousness (no white point) zone of 40 pixels at least in the right and left; The 3rd, the continuity restriction, white point should meet on distributing or approximate (left-right deviation the is no more than a pixel) linear feature that meets.The white point deletion of above-mentioned constraint condition will do not met;
5. obtain the lane line equation.Through after top a series of processing, effectively reduce white point quantity, adopt the Hough conversion to make straight-line detection then.In this process, introduce constraint condition again: the first, lane line quantity is no more than 4 in the qualification image; The second, according to the vision reason, the differential seat angle of two lane lines can not be less than 5--; The 3rd, lane line can not allow to occur intersecting below picture; The 4th, the ballot quantity of Hough conversion is limited, think interfere information less than 15 tickets.Through top constraint, selecting 0~4 maximum straight line of poll is lane line.With the picture centre is initial point, calculates the straight-line equation of every lane line in the plane of delineation
Figure 8419DEST_PATH_IMAGE009
Wherein Be horizontal ordinate,
Figure 562077DEST_PATH_IMAGE011
Be ordinate,
Figure 643385DEST_PATH_IMAGE012
Be slope,
Figure 73229DEST_PATH_IMAGE013
Be intercept.See Fig. 1, Fig. 2.
(c) the focal length parameter of camera is demarcated: referring to Fig. 3, with the vehicle that installs camera be parked in one with the known direction of lane line angulation β on, according to detected lane line equation
Figure 111592DEST_PATH_IMAGE014
, together with the θ value of step a) record, calculate focal distance f (illustrate: formula (3) is derived by β=45--) according to formula (3), be used for of the calculating of follow-up vehicle ' process to deflection angle and distance:
Figure 714612DEST_PATH_IMAGE015
(3)。
(d) the deflection angle β and the vertical range d of the relative lane line of calculating automobile see Fig. 3.In vehicle traveling process, the lane line of every two field picture is detected and obtains straight-line equation in real time
Figure 358083DEST_PATH_IMAGE009
, the focal distance f according to the height h of step a) record and angle of depression θ and step d) calibration obtain by space coordinates shown in Figure 5, adopts pinhole camera modeling can derive the computing formula of deflection angle β and vertical range d, sees formula (4), (5):
(4)
Figure 48270DEST_PATH_IMAGE017
(5)
If many lane lines occur, can calculate the automobile deflection angle and the vertical range of every lane line relatively.
(e) according to the instant travel speed of automobile
Figure 189401DEST_PATH_IMAGE018
And the β that obtains of step e) and d calculate automobile and surmount lane line required time t, sees formula (6)
Figure 687378DEST_PATH_IMAGE019
(6)
Setting T is a time of fire alarming, and T is relevant with driver's reaction velocity and automobile brake effect, when t<T, provides information warning, thereby ensures the driving safety of automobile.

Claims (4)

1. the vision of an automobile run-off-road line angle and distance is calculated and method for early warning, may further comprise the steps:
A) with the CCD video frequency pick-up head along the automobile dead ahead to being installed in Che Nei or roof, adjust the angle of depression and focal length and make it, the setting height(from bottom) h and the angle of depression θ of record camera road surface blur-free imaging in the 50m of the place ahead;
B) by the camera road pavement carry out continuous shooting, collecting to the pavement image sequence, the digital video high-speed channel by DSP is realized data acquisition;
C) lane line in the road pavement image detects, and comprising:
Figure 842982DEST_PATH_IMAGE001
The image edge detects: utilize two 5 * 5 templates respectively computing is taken advantage of-added to image, obtain two width of cloth gradient images corresponding to level and vertical direction, obtained the side information of edge image, the especially lane line of former figure by this two width of cloth image;
Figure 59200DEST_PATH_IMAGE002
The binaryzation of image: adopt the Otsu algorithm computation to go out adaptive threshold to the edge image, image is carried out the black-and-white two color binary conversion treatment according to this threshold value;
3. remove horizontal profile: thus the subsequent treatment calculated amount reduced in order to reduce white point quantity, the characteristics that in picture, can not occur the level trend according to lane line, the horizontal edge point is merged, promptly the white point that horizontal direction is occurred continuously only keeps first white point of Far Left, thereby deletion horizontal edge, reduce white point quantity, the lane detection effect is not exerted an influence again simultaneously;
4. the application constraint condition is gone a little: set constraint condition according to brightness, width and continuity Characteristics that actual lane line distributes, further remove noise spot;
5. obtain the lane line equation: adopt the Hough conversion to determine most probable linear position, finally obtain the straight-line equation of 0~4 lane line;
D) the focal length parameter f of camera is demarcated: the vehicle that will install camera is parked on the direction that becomes known angle with lane line, discharge of the coke apart from f according to detected lane line Equation for Calculating, be used for of the calculating of follow-up vehicle ' process deflection angle and vertical range;
E) the deflection angle β and the vertical range d of the relative lane line of calculating automobile: in vehicle traveling process, lane line to every two field picture detects and obtains straight-line equation in real time, calculates deflection angle β and vertical range d according to the focal distance f that the height h of step a) record and angle of depression θ and step d) calibration obtain according to following formula:
Figure 561944DEST_PATH_IMAGE003
Figure 976745DEST_PATH_IMAGE004
F) deflection angle β and the distance parameter d that obtains according to the instant travel speed and the step e) of automobile is according to formula Calculate automobile and surmount lane line required time t, set alarm threshold value, if calculate to such an extent that the line time then provides information warning less than threshold value more.
2. the vision of the described automobile run-off-road of claim 1 line angle and distance is calculated and the pre-police, it is characterized in that: step c) 3. in for reducing white point quantity, the edge bianry image has been removed horizontal profile, bianry image is carried out horizontal direction scanning, investigate continuous two points: if certain point is a white point, and the front consecutive point are stain, then keep this white point, and the institute that does not satisfy this condition is become stain a little.
3. the vision of the described automobile run-off-road of claim 1 line angle and distance is calculated and the pre-police, it is characterized in that: step c) 4. in for reducing white point quantity, adopt constraint condition to remove white point, adopted three constraint conditions: the first, on the lane line on gray values of pixel points and the next door road difference of gray-scale value be not less than 20; The second, the pixel of lane line along continuous straight runs is between 2~20, and there is a stain zone that is no less than 40 pixels at least in the outer the right and left of line; The 3rd, white point should meet on distributing or approximate meeting is the linear feature that left-right deviation is no more than a pixel; The white point deletion of above-mentioned constraint condition will do not met.
4. the vision of the described automobile run-off-road of claim 1 line angle and distance is calculated and the pre-police, it is characterized in that: step c) retrains the quantity and the distribution of lane line in 5.: the first, limit in the image no more than 4 of lane line quantity; The second, according to the vision reason, the differential seat angle of two lane lines can not be less than 5 degree; The 3rd, lane line can not allow to occur intersecting below picture; The 4th, the ballot quantity of Hough conversion is limited, abandon being less than the testing result of 15 tickets; Calculate the straight-line equation of every lane line in the plane of delineation at last.
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