CN106525056A - Method for lane line detection by gyro sensor - Google Patents

Method for lane line detection by gyro sensor Download PDF

Info

Publication number
CN106525056A
CN106525056A CN201610970334.0A CN201610970334A CN106525056A CN 106525056 A CN106525056 A CN 106525056A CN 201610970334 A CN201610970334 A CN 201610970334A CN 106525056 A CN106525056 A CN 106525056A
Authority
CN
China
Prior art keywords
lane line
lane
line
detection
gyro sensor
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
CN201610970334.0A
Other languages
Chinese (zh)
Inventor
赵金霞
赵福喜
冯建华
严伟中
沈群
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.)
Hangzhou Autotronics Co Ltd
Original Assignee
Hangzhou Autotronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Autotronics Co Ltd filed Critical Hangzhou Autotronics Co Ltd
Priority to CN201610970334.0A priority Critical patent/CN106525056A/en
Publication of CN106525056A publication Critical patent/CN106525056A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/28Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3626Details of the output of route guidance instructions
    • G01C21/3658Lane guidance

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Navigation (AREA)

Abstract

The invention belongs to the field of computer vision and intelligent transportation, particularly relates to a method for lane line detection by a gyro sensor and solves problems of poor accuracy in existing lane line calibration and the like. The method includes: A, calibration scene selection, to be more specific, selecting a lane with a left lane line and a right lane line as a calibration scene, and parking or driving a current vehicle between the left lane line and the right lane line of the lane; B, man-machine interaction calibration, to be more specific, respectively working out linear equations of the left lane line and the right lane line in an image coordinate system at the moment; C, vehicular body attitude angle detection, to be more specific, monitoring real-time attitudes of the current vehicle and acquiring real-time attitude data; D, real-time camera angle adjustment, to be more specific, guaranteeing that the shot left lane line and the right lane line are in fixed areas constantly; E, lane line detection, to be more specific, detecting the left lane line and the right lane line in the fixed areas. The method has advantages of high lane line detection accuracy, convenience and quickness in man-machine interaction and great reduction of clutter influences on lane line detection.

Description

The method that lane detection is carried out using gyro sensor
Technical field
The invention belongs to computer vision and intelligent transportation field, more particularly to a kind of to enter driving using gyro sensor The method of diatom detection.
Background technology
In recent years, as the technology in terms of intelligent transportation field and computer vision constantly develops, based on computer vision Automobile active safety product also day by day enrich.Such as adaptive cruise control system (ACC), lane departur warning (LDW), car Road keeps auxiliary (LKA) and side object detection (SOD) etc., but these product correlation techniques are realized in the detection of lane line Basis.
The common method for detecting lane lines based on camera is usually first to carry out pretreatment to image, then substantially determines car Diatom in-scope, recycles Hough transformation to carry out lane detection, but picture quality is bad, the lane line for detecting Miscellaneous line is more, and especially the slight crack on the rainy day wheel marking or road can all be misidentified as lane line, or run into barrier Hinder thing closely to block, when the surface conditions such as blocking of trees or building effects, as camera cannot be collected comprising foot The image of more than enough lane information and the problems such as there is missing inspection, flase drop, the identification of the lane line for being thus is not accurate enough.Therefore, The good high robust algorithm of set of environmental strong adaptability, fast operation, transplantability how is designed, is the heat of association area research One of point.Meanwhile, although the more existing product function admirable with regard to lane detection, makes as algorithm is relative complex Early stage calibration process complexity is obtained, the Professional knowledge requirement to assembler is of a relatively high, so research and development are a set of beneficial to industrial products It is also what is be highly desirable to that the algorithm and raising lane detection ground of assembling are accurate.
In order to solve the problems, such as prior art, people have carried out long-term exploration, it is proposed that solution miscellaneous Scheme.For example, Chinese patent literature discloses a kind of method for detecting lane lines and device [application number: 201310616153.4], the method includes obtaining vehicle front image;Rim detection is carried out to vehicle front image, side is obtained Edge figure;The position of the lane line obtained according to former frame determines original lane line detection zone in edge graph;By original lane Line detection zone is divided into N number of little detection zone, and N is more than or equal to 2;According to the edge graph numerical value of each little detection zone and each The sum of the pixel of little detection zone, determines that certain little detection zone is accurate lane detection region;From accurate lane line The lane line of present frame is obtained in detection zone.It is not accurate enough that such scheme solves existing lane detection to a certain extent Problem, but the program still fundamentally cannot solve computationally intensive, subtract the problem of impact of the miscellaneous line to testing result.
The content of the invention
The purpose of the present invention is for the problems referred to above, there is provided a kind of simple and reasonable, high-precision utilization gyroscope is passed The method that sensor carries out lane detection.
To reach above-mentioned purpose, following technical proposal is present invention employs:This determines lane line using gyro sensor The method of detection effective range, it is characterised in that this method comprises the steps:
Scene is demarcated in A, selection:Selection is decorated with the track of left-lane line and right-lane line to demarcate scene, by Current vehicle Stop or travel between the left-lane line and right-lane line in place track, and guarantee the left-lane in Current vehicle place track Line is visible in camera review with right-lane line;
B, man-machine interaction are demarcated:Default left demarcation straight line of the mobile display in camera review is so that left demarcation straight line Overlap with the tangent line of left-lane line or left-lane line so as to realize that left-lane line is demarcated, mobile display is pre- in camera review If right demarcation straight line so that right demarcation straight line is overlapped with the tangent line of right-lane line or right-lane line so as to realize right-lane line mark It is fixed, now left-lane line and linear equation of the right-lane line in image coordinate system are calculated respectively;
C, detection body gesture angle:The real-time of Current vehicle is monitored by the gyro sensor on Current vehicle Attitude simultaneously gathers real-time attitude data, three axles of gyro sensor correspond respectively to Current vehicle before and after axis, on Lower axis and left and right axis;
D, real-time adjustment camera angle:The real-time attitude data that control unit is gathered according to gyro sensor, that is, bow Angle of elevation alpha, angle of inclination beta, yaw angle γ, in real time to the rightabout adjustment video camera of angle of pitch α, angle of inclination beta, yaw angle γ, with Keep video camera all the time parallel to horizontal dead ahead, it is ensured that video camera shoot left-lane line fixed with right-lane line all the time In region;
E, lane detection:Lane detection is carried out using lane detection algorithm in fixed area, so as to detect Left-lane line and right-lane line.
In the present invention, Current vehicle should travel the centre in place track as far as possible, currently also be not excluded for certain limit Deviation, it is to be decorated with the highway of left and right lane line to demarcate scene, without the need for reconfiguring demarcation scene again, such as setting-out on the ground Demarcate etc., it is so more simple and practical than traditional method, it is cost-effective;Fragmentation thresholdization can be reduced because shade or obstacle Thing etc. blocks the inaccurate problem of lane detection that lane line is caused;Man-machine interaction is convenient and swift, to operator require compared with It is low, therefore changeable scene is adapted to, it is workable;Using the scope of lane line fluctuation in front and back's two field pictures, sense is set Emerging region can greatly reduce impact of the clutter to lane detection, and improve the execution efficiency of algorithm;On-line proving is supported, can The a series of activities for gathering video image and processing is needed to remove off-line calibration from, directly demarcate the slope and intercept of lane line, It is one simply and easily to demarcate very much and computational methods, a large amount of valuable times of developer, and human and material resources can be saved Etc. aspect resource consumption.
Carry out in the method for lane detection in above-mentioned utilization gyro sensor, with camera optical axis and video camera figure The intersection point of image plane is origin, and using origin, laterally bearing of trend, as x-axis bearing of trend, is made with origin longitudinally downward direction to the right For y-axis bearing of trend, image coordinate system is set up, linear equation of the left-lane line in image coordinate system is y=k after demarcationL·x +bL, wherein kLIt is the slope of left-lane line, bLIt is left-lane line intercept on the y axis, after demarcation, right-lane line is in image coordinate Linear equation in system is y=kR·x+bR, wherein kRIt is the slope of right-lane line, bRIt is right-lane line intercept on the y axis, The linear equation of the front bumper place straight line of Current vehicle is y=c;Described fixed area be by left-lane line after demarcating, The delta-shaped region that the front bumper place straight line of right-lane line and Current vehicle surrounds after demarcation.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, described demarcation rear left After lane line and demarcation, the intersecting point coordinate of right-lane line is:
Described fixed area (D) is:
Wherein W is picture traverse;
The final carriage matrix of Current vehicle is:
Wherein, R (x, α) is spin matrix of the gyro sensor around axis before and after Current vehicle, and R (y, β) is top Spin matrix of the spiral shell instrument around the axis up and down of Current vehicle, R (z, γ) are gyroscopes around the left and right axis of Current vehicle Spin matrix.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, in above-mentioned steps E, Described lane detection algorithm includes pretreatment image and detection lane line undated parameter;Described pretreatment image includes By camera acquisition to present frame camera review or current fixed area image be converted into gray-scale maps, and the left car that will be demarcated Then diatom neighborhood and right-lane line field is done at fragmentation threshold to area-of-interest respectively respectively as area-of-interest Reason;Simultaneously undated parameter includes detecting lane line respectively in area-of-interest described detection lane line, if detecting new left car Diatom then updates the linear equation slope and/or intercept of left-lane line, otherwise retains the value at a moment thereon;If detecting new Right-lane line then updates the linear equation slope and/or intercept of right-lane line, otherwise retains the value at a moment thereon.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, in above-mentioned steps B, Manually operating-controlling mechanism control is left demarcates rectilinear translation and/or rotation to adjust the left intercept and/or slope for demarcating straight line, leads to Cross the right intercept and/or slope for rectilinear translation and/or rotation being demarcated to adjust right demarcation straight line of manual operating-controlling mechanism control;It is described Manual manipulation mechanism include button and/or knob, or described manual manipulation mechanism includes showing camera review Touch screen.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, in above-mentioned steps C, If the maximum magnitude of the slope fluctuation of left-lane line is (- Δ kL,ΔkL), the maximum magnitude of intercept fluctuation is (- Δ bL,ΔbL), The maximum magnitude of the slope fluctuation of right-lane line is (- Δ kR,ΔkR), the maximum magnitude of intercept fluctuation is (- Δ bR,ΔbR), choosing Take left-lane line slope and maximum contiguous range is fluctuated as the area-of-interest of left-lane line with intercept, choose right-lane line oblique Rate fluctuates maximum contiguous range as the area-of-interest of right-lane line with intercept.Be arranged on slope fluctuation range mainly by In vehicle, photographic head has a little shake, or other some correlative factors in the process of moving, under such as varying environment Track line width and track spacing are different so that the lane line in camera views can fluctuate near the position of previous moment.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, in above-mentioned steps C, Respectively by area-of-interest homogenous segmentations or uneven segmentation from top to bottom, per section of height is set to Δ hi;Calculate respectively each The average Δ h of Δ hi in section area-of-interest, and as the threshold value of this section, it is then by area-of-interest binaryzation, adjacent When the threshold value of two sections of area-of-interests is different, the marginal slope of adjacent two sections of area-of-interests is 0.Can be with homogenous segmentations Can be stated using homogenous segmentations with uneven segmentation, for convenience herein, be segmented more in theory, testing result is more accurate, but The problems such as allowing for the real-time in practical application, institute's segments should not be too many, should be appropriate according to practical situation.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, in above-mentioned steps A, Described left-lane line and right-lane line are respectively the combination of any one or more in solid line, dotted line, yellow line and white line;When Vehicle in front is stopped or travels the centre between the left-lane line and right-lane line in place track.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, existed using Hough transformation Lane line is detected respectively in area-of-interest, and the linear equation slope of left-lane line is updated if new left-lane line is detected And/or intercept, otherwise retain the value at a moment thereon;The linear equation of right-lane line is updated if new right-lane line is detected Slope and/or intercept, otherwise retain the value at a moment thereon;If the situation of change lane occurs in vehicle, vehicle is waited to enter During central authorities' traveling in next track, the new lane line of automatic detection.If bend, then the method detection is cutting for bend Line.
In above-mentioned utilization gyro sensor determines the method for lane detection effective range, gyro sensor case On meter panel of motor vehicle, and gather 3 current attitude angle of vehicle body, the respectively angle of pitch, inclination angle and yaw angle.
Compared with prior art, this determines the advantage of the method for lane detection effective range using gyro sensor It is:
1st, amount of calculation can be reduced with the emerging region of downscaled images sense, reduces the lane detection time, improve algorithm real-time, Many impacts of the miscellaneous line to testing result, the guardrail of such as both sides of the road, the flower bed edge of both sides of the road, rainy day can also be excluded The wheel marking, road slight crack etc..
2nd, it is to be decorated with the highway of left and right lane line to demarcate scene, without the need for reconfiguring demarcation scene again, such as on the ground Setting-out demarcation etc., it is so more simple and practical than traditional method, it is cost-effective;
3rd, fragmentation thresholdization can be reduced because shade or barrier etc. block lane detection that lane line causes not Accurate problem;
4th, man-machine interaction is convenient and swift, operator is required relatively low, therefore is adapted to changeable scene, operability By force;
5th, the emerging region of sense is set using the scope of lane line fluctuation in two field pictures in front and back clutter can be greatly reduced to car The impact of diatom detection, and improve the execution efficiency of algorithm;
6th, on-line proving is supported, a series of activities that off-line calibration needs to gather video image and process can be removed from;
7th, the slope and intercept of lane line are directly demarcated, is one and is simply and easily demarcated very much and computational methods, can be with Save a large amount of valuable times of developer, and the resource consumption of the aspect such as human and material resources.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Fig. 2 is the lane detection flow chart of the present invention.
Fig. 3 is by the actual calibrated camera views figure of man-machine interaction.
Fig. 4 is image coordinate system schematic diagram.
Fig. 5 is the emerging administrative division map of sense according to slope with the maximum contiguous range selection of intercept fluctuation.
Fig. 6 is the emerging area segmentation figure of sense.
In figure, wherein Δ kLRepresent the difference of red straight line and two straight slopes of left-lane line;ΔbLRepresent blue straight line with The difference of two Linear intercepts of left-lane line;ΔkRRepresent the difference of red straight line and two straight slopes of right-lane line;ΔbRRepresent blue The difference of color straight line and two Linear intercepts of right-lane line;Region in picture between the blue line in two, left side is left-lane Gan Xing areas Domain ROI;Region between the blue line in two, right side is the emerging region ROI of right lane sense;Δ h represents each section of height;1 represents left Lane line;11 represent left demarcation straight line;2 represent right-lane line;21 represent right demarcation straight line.
Specific embodiment
The present invention will be further described in detail with reference to the accompanying drawings and detailed description.
As shown in figures 1 to 6, the method that this determines lane detection effective range using gyro sensor, including following steps Suddenly:
Scene is demarcated in step A, selection:Selection is decorated with the track of left-lane line 1 and right-lane line 2 to demarcate scene, ought Vehicle in front is stopped or is travelled between the left-lane line 1 and right-lane line 2 in place track, and guarantees Current vehicle place track Left-lane line 1 it is visible in camera review with right-lane line 2;Here left-lane line 1 and right-lane line 2 is respectively real The combination of any one or more in line, dotted line, yellow line and white line;Current vehicle should be stopped as far as possible or be travelled and be located Centre between the left-lane line 1 and right-lane line 2 in track, has currently also been not excluded for a range of deviation.
Step B, man-machine interaction are demarcated:Default left demarcation straight line 11 of the mobile display in camera review is so that left mark Boning out 11 is overlapped with the tangent line of left-lane line 1 or left-lane line 1 so as to realize that left-lane line 1 is demarcated, and mobile display is in shooting Default right demarcation straight line 21 in machine image is so that right demarcation straight line 21 is overlapped with the tangent line of right-lane line 2 or right-lane line 2 So as to realize that right-lane line 2 is demarcated, now left-lane line 1 and straight line of the right-lane line 2 in image coordinate system are calculated respectively Equation;In above-mentioned steps B, the intersection point with camera optical axis and camera image plane is laterally prolonged to the right as origin with origin Direction is stretched as x-axis bearing of trend, using origin longitudinally downward direction as y-axis bearing of trend, set up image coordinate system, after demarcation Linear equation of the left-lane line 1 in image coordinate system is y=kL·x+bL, wherein kLIt is the slope of left-lane line, bLIt is left car Diatom intercept on the y axis, after demarcation, linear equation of the right-lane line 2 in image coordinate system is y=kR·x+bR, wherein kR It is the slope of right-lane line, bRIt is right-lane line intercept on the y axis, the straight line side of the front bumper place straight line of Current vehicle Journey is y=c;Fixed area is that the front bumper of right-lane line 2 and Current vehicle is located by left-lane line after demarcating 1, after demarcating The delta-shaped region that straight line surrounds;I.e. manually the left demarcation straight line 11 of operating-controlling mechanism control translates and/or rotates to adjust It is whole it is left demarcate straight line 11 intercept and/or slope, manually operating-controlling mechanism control it is right demarcation straight line 21 translate and/or rotate with The right intercept and/or slope for demarcating straight line 21 of adjustment, manual manipulation mechanism here include button and/or knob, manual manipulation Mechanism includes the touch screen that can show camera review.
Step C, detection body gesture angle:Current vehicle is monitored by the gyro sensor on Current vehicle Real-time attitude simultaneously gathers real-time attitude data, and three axles of gyro sensor correspond respectively to the axis in front and back of Current vehicle Line, upper and lower axis and left and right axis;Described gyro sensor is arranged on meter panel of motor vehicle;Camera acquisition is arrived Present frame camera review be converted into gray-scale maps, and by 2 field of 1 neighborhood of left-lane line and right-lane line demarcated in step B Respectively as region of interest ROI, fragmentation thresholdization process is then done respectively to region of interest ROI;If left-lane line 1 is oblique The maximum magnitude of rate fluctuation is (- Δ kL,ΔkL), the maximum magnitude of intercept fluctuation is (- Δ bL,ΔbL), right-lane line 2 it is oblique The maximum magnitude of rate fluctuation is (- Δ kR,ΔkR), the maximum magnitude of intercept fluctuation is (- Δ bR,ΔbR), choose left-lane line 1 Slope and intercept fluctuate maximum contiguous range as the region of interest ROI of left-lane line 1, choose 2 slope of right-lane line with Region of interest ROI of the maximum contiguous range of intercept fluctuation as right-lane line 2, be arranged on slope fluctuation range mainly by In vehicle, photographic head has a little shake, or other some correlative factors in the process of moving, under such as varying environment Track line width and track spacing are different so that the lane line in camera views can fluctuate near the position of previous moment; Respectively by region of interest ROI homogenous segmentations or uneven segmentation from top to bottom, per section of height is set to Δ hi, uniformly can divide Section uneven can also be segmented, and for convenience, is stated using homogenous segmentations herein, is segmented more in theory, and testing result is more accurate Really, it is contemplated that the problems such as real-time in practical application, institute's segments should be too many, according to practical situation should suitably be Can;The average Δ h of Δ hi in each section of region of interest ROI is calculated respectively, and as the threshold value of this section, then will be felt emerging Interesting region ROI binaryzations, when the threshold value of adjacent two sections of region of interest ROI is different, the boundary of adjacent two sections of region of interest ROI The slope of line is 0.
Step D, real-time adjustment camera angle:The real-time attitude data that control unit is gathered according to gyro sensor, I.e. angle of pitch α, angle of inclination beta, yaw angle γ, are imaged to the rightabout adjustment of angle of pitch α, angle of inclination beta, yaw angle γ in real time Machine, with keep video camera all the time parallel to horizontal dead ahead, it is ensured that video camera shoot left-lane line 1 begin with right-lane line 2 Eventually in fixed area;
Step E, detection lane line undated parameter:Driveway line inspection is entered in fixed area using lane detection algorithm Survey, include pretreatment image and detection track so as to detect left-lane line 1 and the lane detection algorithm described in right-lane line 2 Line undated parameter;Described pretreatment image includes the present frame camera review for arriving camera acquisition or current fixed area Area image is converted into gray-scale maps, and using 1 neighborhood of left-lane line demarcated and 2 field of right-lane line as area-of-interest ROI, then does fragmentation thresholdization process respectively to region of interest ROI;Simultaneously undated parameter includes sense to described detection lane line Lane line is detected respectively in the ROI of interest region, and the linear equation that left-lane line 1 is updated if new left-lane line 1 is detected is oblique Rate and/or intercept, otherwise retain the value at a moment thereon;The straight line of right-lane line 2 is updated if new right-lane line 2 is detected Equation slope and/or intercept, otherwise retain the value at a moment thereon;Car is detected respectively using Hough transformation in area-of-interest Diatom, updates the linear equation slope and/or intercept of left-lane line if new left-lane line is detected, and otherwise retains thereon one The value at moment;The linear equation slope and/or intercept of right-lane line are updated if new right-lane line is detected, otherwise retains which The value at a upper moment;If the situation of change lane occurs in vehicle, when waiting vehicle to enter central authorities' traveling in next track, automatically The new lane line of detection.If bend, then what the method was detected is the tangent line of bend.
Specifically, in stepb, the left-lane line 1 and intersecting point coordinate of right-lane line 2 is after demarcating after demarcation:
Described fixed area (D) is:
Wherein W is picture traverse;
The final carriage matrix of Current vehicle is:
Wherein, R (x, α) is spin matrix of the gyro sensor around axis before and after Current vehicle, and R (y, β) is top Spin matrix of the spiral shell instrument around the axis up and down of Current vehicle, R (z, γ) are gyroscopes around the left and right axis of Current vehicle Spin matrix.
In the present invention, Current vehicle should travel the centre in place track as far as possible, currently also be not excluded for certain limit Deviation, it is to be decorated with the highway of left and right lane line to demarcate scene, without the need for reconfiguring demarcation scene again, such as setting-out on the ground Demarcate etc., it is so more simple and practical than traditional method, it is cost-effective;Fragmentation thresholdization can be reduced because shade or obstacle Thing etc. blocks the inaccurate problem of lane detection that lane line is caused;Man-machine interaction is convenient and swift, to operator require compared with It is low, therefore changeable scene is adapted to, it is workable;Using the scope of lane line fluctuation in front and back's two field pictures, sense is set Emerging region can greatly reduce impact of the clutter to lane detection, and improve the execution efficiency of algorithm;On-line proving is supported, can The a series of activities for gathering video image and processing is needed to remove off-line calibration from, directly demarcate the slope and intercept of lane line, It is one simply and easily to demarcate very much and computational methods, a large amount of valuable times of developer, and human and material resources can be saved Etc. aspect resource consumption.
In calibration process, the possibility source of error has:
1st, scene error:Lane line for demarcating is not straight, ground unevenness etc.;
2nd, man-machine interaction error:Left and right lane line in camera views is misaligned with calibration line.By theory analysis with It is substantial amounts of it was verified that the lane detection method of calibration-type not only principle is simple, simple operation, can be easily integrated in on-vehicle machines and regard In feel system, on-line proving is also supported, or even can be carried out in vehicle traveling, so as to solve vehicle-mounted taking the photograph to a certain extent The drifting problem of camera relevant parameter, improves the accuracy of lane detection.
Specific embodiment described herein is only explanation for example spiritual to the present invention.Technology neck belonging to of the invention The technical staff in domain can be made various modifications or supplement or replaced using similar mode to described specific embodiment Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.
Although more having used Δ k hereinLRepresent the difference of red straight line and two straight slopes of left-lane line;ΔbLTable Show the difference of blue straight line and two Linear intercepts of left-lane line;ΔkRRepresent red straight line and two straight slopes of right-lane line it Difference;ΔbRRepresent the difference of blue straight line and two Linear intercepts of right-lane line;Region in picture between the blue line in two, left side It is the emerging region ROI of left-lane sense;Region between the blue line in two, right side is the emerging region ROI of right lane sense;Δ h represents each section Height;1 represents left-lane line;11 represent left demarcation straight line;2 represent right-lane line;21 represent the terms such as right demarcation straight line, but It is not precluded from the probability using other terms.It is used for the purpose of more easily describing and explaining the present invention's using these terms Essence;It is all contrary with spirit of the invention to be construed as any additional restriction.

Claims (10)

1. a kind of method that utilization gyro sensor carries out lane detection, it is characterised in that this method comprises the steps:
Scene is demarcated in A, selection:Selection is decorated with the track of left-lane line (1) and right-lane line (2) to demarcate scene, by current vehicle Stop or travel between the left-lane line (1) and right-lane line (2) in place track, and guarantee Current vehicle place track Left-lane line (1) it is visible in camera review with right-lane line (2);
B, man-machine interaction are demarcated:Default left demarcation straight line (11) of the mobile display in camera review is so that left demarcation straight line (11) overlap with the tangent line of left-lane line (1) or left-lane line (1) so as to realize that left-lane line (1) is demarcated, mobile display is in taking the photograph Default right demarcation straight line (21) in camera image is so that right demarcation straight line (21) and right-lane line (2) or right-lane line (2) Tangent line overlap so as to realize that right-lane line (2) is demarcated, calculate respectively now left-lane line (1) and right-lane line (2) in figure As the linear equation in coordinate system;
C, detection body gesture angle:The real-time attitude of Current vehicle is monitored by the gyro sensor on Current vehicle And gather real-time attitude data, three axles of gyro sensor correspond respectively to Current vehicle before and after axis, up and down in Axis and left and right axis;
D, real-time adjustment camera angle:The real-time attitude data that control unit is gathered according to gyro sensor, the i.e. angle of pitch α, angle of inclination beta, yaw angle γ, in real time to the rightabout adjustment video camera of angle of pitch α, angle of inclination beta, yaw angle γ, to keep Video camera all the time parallel to horizontal dead ahead, it is ensured that left-lane line (1) and the right-lane line (2) that video camera shoots is all the time solid Determine in region;
E, lane detection:Lane detection is carried out using lane detection algorithm in fixed area, so as to detect left car Diatom (1) and right-lane line (2).
2. the method that utilization gyro sensor according to claim 1 carries out lane detection, it is characterised in that to take the photograph The intersection point of camera optical axis and camera image plane is origin, using origin laterally to the right bearing of trend as x-axis bearing of trend, with Origin longitudinally downward direction sets up image coordinate system as y-axis bearing of trend, and after demarcation, left-lane line (1) is in image coordinate system In linear equation be y=kL·x+bL, wherein kLIt is the slope of left-lane line, bLIt is left-lane line intercept on the y axis, mark After fixed, linear equation of the right-lane line (2) in image coordinate system is y=kR·x+bR, wherein kRIt is the slope of right-lane line, bR It is right-lane line intercept on the y axis, the linear equation of the front bumper place straight line of Current vehicle is y=c;Described fixation Region be by left-lane line after demarcating (1), demarcate after right-lane line (2) and Current vehicle front bumper place straight line surround and Into delta-shaped region.
3. the method that utilization gyro sensor according to claim 2 carries out lane detection, it is characterised in that described Demarcation after left-lane line (1) and the intersecting point coordinate of right-lane line (2) is after demarcating:
x c r o s s = b R - b L k L - k R ( k L ≠ k R ) y c r o s s = ( b R - b L ) × k L k L - k R + b L ( k L ≠ k R ) ;
Described fixed area (D) is:
Wherein W is picture traverse;
The final carriage matrix of Current vehicle is:
R X Y Z = R ( x , α ) · R ( y , β ) · R ( z , γ ) = cos β cos γ - cos β sin γ sin β sin α sin β cos γ + cos α sin γ - sin α sin β sin γ + cos α cos γ - sin α cos β - cos α sin β cos γ + sin α sin γ cos α sin β sin γ + sin α cos γ cos α cos β
Wherein, R (x, α) is spin matrix of the gyro sensor around axis before and after Current vehicle, and R (y, β) is gyroscope Around the spin matrix of the axis up and down of Current vehicle, R (z, γ) is rotation of the gyroscope around the left and right axis of Current vehicle Matrix.
4. the method that utilization gyro sensor according to claim 3 carries out lane detection, it is characterised in that upper State in step E, described lane detection algorithm includes pretreatment image and detection lane line undated parameter;Described pre- place Reason image include by camera acquisition to present frame camera review or current fixed area image be converted into gray-scale maps, and will Left-lane line (1) neighborhood of demarcation and right-lane line (2) field are respectively as area-of-interest (ROI), then emerging to sense respectively Interesting region (ROI) does fragmentation thresholdization process;Simultaneously undated parameter includes dividing in area-of-interest (ROI) described detection lane line Lane line is not detected, the linear equation slope and/or intercept of left-lane line (1) is updated if new left-lane line (1) is detected, Otherwise retain the value at a moment thereon;The linear equation slope of right-lane line (2) is updated if new right-lane line (2) is detected And/or intercept, otherwise retain the value at a moment thereon.
5. the method that utilization gyro sensor according to claim 4 carries out lane detection, it is characterised in that set a left side The maximum magnitude of the slope fluctuation of lane line (1) is (- Δ kL,ΔkL), the maximum magnitude of intercept fluctuation is (- Δ bL,ΔbL), The maximum magnitude of the slope fluctuation of right-lane line (2) is (- Δ kR,ΔkR), the maximum magnitude of intercept fluctuation is (- Δ bR,Δ bR), choose left-lane line (1) slope maximum contiguous range is fluctuated as the area-of-interest of left-lane line (1) with intercept (ROI), choose right-lane line (2) slope maximum contiguous range is fluctuated as the area-of-interest of right-lane line (2) with intercept (ROI)。
6. the method that utilization gyro sensor according to claim 5 carries out lane detection, it is characterised in that respectively Area-of-interest (ROI) homogenous segmentations or uneven segmentation from top to bottom, per section of height are set to into Δ hi;Calculate respectively each The average Δ h of Δ hi in section area-of-interest (ROI), and as the threshold value of this section, then by area-of-interest (ROI) two Value, when the threshold value of adjacent two sections of area-of-interests (ROI) is different, adjacent two sections of area-of-interests (ROI) it is marginal tiltedly Rate is 0.
7. the method that the utilization gyro sensor according to claim 4 or 5 or 6 carries out lane detection, its feature exist In lane line respectively being detected in the area-of-interest (ROI) using Hough transformation, if new left-lane line (1) is detected more The linear equation slope and/or intercept of new left-lane line (1), otherwise retains the value at a moment thereon;If detecting new right car Diatom (2) then updates the linear equation slope and/or intercept of right-lane line (2), otherwise retains the value at a moment thereon;If vehicle There is the situation of change lane, then when waiting vehicle to enter central authorities' traveling in next track, the new lane line of automatic detection.
8. the method that the utilization gyro sensor according to any one in claim 1-7 carries out lane detection, its It is characterised by, in above-mentioned steps B, manually the left demarcation straight line (11) of operating-controlling mechanism control translates and/or rotates to adjust The left intercept and/or slope for demarcating straight line (11), manually right demarcation straight line (21) translation of operating-controlling mechanism control and/or rotation To adjust the right intercept and/or slope for demarcating straight line (21);Described manual manipulation mechanism includes button and/or knob, or Described manual manipulation mechanism includes the touch screen that can show camera review.
9. the method that the utilization gyro sensor according to any one in claim 1-7 carries out lane detection, its Be characterised by, in above-mentioned steps A, described left-lane line (1) and right-lane line (2) be respectively solid line, dotted line, yellow line with it is white The combination of any one or more in line;Current vehicle is stopped or travels the left-lane line (1) and right car in place track Centre between diatom (2).
10. the method that the utilization gyro sensor according to any one in claim 1-7 carries out lane detection, its It is characterised by, described gyro sensor is arranged on meter panel of motor vehicle.
CN201610970334.0A 2016-11-04 2016-11-04 Method for lane line detection by gyro sensor Pending CN106525056A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610970334.0A CN106525056A (en) 2016-11-04 2016-11-04 Method for lane line detection by gyro sensor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610970334.0A CN106525056A (en) 2016-11-04 2016-11-04 Method for lane line detection by gyro sensor

Publications (1)

Publication Number Publication Date
CN106525056A true CN106525056A (en) 2017-03-22

Family

ID=58326015

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610970334.0A Pending CN106525056A (en) 2016-11-04 2016-11-04 Method for lane line detection by gyro sensor

Country Status (1)

Country Link
CN (1) CN106525056A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107229908A (en) * 2017-05-16 2017-10-03 浙江理工大学 A kind of method for detecting lane lines
CN108769849A (en) * 2018-04-26 2018-11-06 Oppo广东移动通信有限公司 The control method and Related product of wearable device
CN108802785A (en) * 2018-08-24 2018-11-13 清华大学 Vehicle method for self-locating based on High-precision Vector map and monocular vision sensor
CN109389650A (en) * 2018-09-30 2019-02-26 京东方科技集团股份有限公司 A kind of scaling method of in-vehicle camera, device, vehicle and storage medium
WO2020063817A1 (en) * 2018-09-30 2020-04-02 长城汽车股份有限公司 Traffic lane line fitting method and system
CN111010537A (en) * 2019-12-06 2020-04-14 苏州智加科技有限公司 Vehicle control method, device, terminal and storage medium
CN111212260A (en) * 2018-11-21 2020-05-29 杭州海康威视数字技术股份有限公司 Method and device for drawing lane line based on surveillance video
CN113515973A (en) * 2020-04-09 2021-10-19 北京地平线机器人技术研发有限公司 Data acquisition method, training method, adjustment method and device
CN114247081A (en) * 2019-04-04 2022-03-29 南京敏思软件有限公司 Method and system for determining motion energy consumption of intelligent stone lock
US12007243B2 (en) 2018-09-30 2024-06-11 Great Wall Motor Company Limited Traffic lane line fitting method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010070012A (en) * 2008-09-17 2010-04-02 Toyota Motor Corp Lane recognition device
CN102288121A (en) * 2011-05-12 2011-12-21 电子科技大学 Method for measuring and pre-warning lane departure distance based on monocular vision
CN104008645A (en) * 2014-06-12 2014-08-27 湖南大学 Lane line predicating and early warning method suitable for city road
CN104129389A (en) * 2014-08-06 2014-11-05 中电海康集团有限公司 Method for effectively judging and recognizing vehicle travelling conditions and device thereof
CN105197014A (en) * 2014-06-30 2015-12-30 现代自动车株式会社 Apparatus and method for recognizing driving lane of vehicle

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010070012A (en) * 2008-09-17 2010-04-02 Toyota Motor Corp Lane recognition device
CN102288121A (en) * 2011-05-12 2011-12-21 电子科技大学 Method for measuring and pre-warning lane departure distance based on monocular vision
CN104008645A (en) * 2014-06-12 2014-08-27 湖南大学 Lane line predicating and early warning method suitable for city road
CN105197014A (en) * 2014-06-30 2015-12-30 现代自动车株式会社 Apparatus and method for recognizing driving lane of vehicle
CN104129389A (en) * 2014-08-06 2014-11-05 中电海康集团有限公司 Method for effectively judging and recognizing vehicle travelling conditions and device thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周金金等: "基于ARM11 的海洋浮标云台稳定控制系统" *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107229908B (en) * 2017-05-16 2019-11-29 浙江理工大学 A kind of method for detecting lane lines
CN107229908A (en) * 2017-05-16 2017-10-03 浙江理工大学 A kind of method for detecting lane lines
CN108769849A (en) * 2018-04-26 2018-11-06 Oppo广东移动通信有限公司 The control method and Related product of wearable device
CN108802785A (en) * 2018-08-24 2018-11-13 清华大学 Vehicle method for self-locating based on High-precision Vector map and monocular vision sensor
CN109389650B (en) * 2018-09-30 2021-01-12 京东方科技集团股份有限公司 Vehicle-mounted camera calibration method and device, vehicle and storage medium
CN109389650A (en) * 2018-09-30 2019-02-26 京东方科技集团股份有限公司 A kind of scaling method of in-vehicle camera, device, vehicle and storage medium
WO2020063817A1 (en) * 2018-09-30 2020-04-02 长城汽车股份有限公司 Traffic lane line fitting method and system
US12007243B2 (en) 2018-09-30 2024-06-11 Great Wall Motor Company Limited Traffic lane line fitting method and system
CN111212260B (en) * 2018-11-21 2021-08-20 杭州海康威视数字技术股份有限公司 Method and device for drawing lane line based on surveillance video
CN111212260A (en) * 2018-11-21 2020-05-29 杭州海康威视数字技术股份有限公司 Method and device for drawing lane line based on surveillance video
CN114247081A (en) * 2019-04-04 2022-03-29 南京敏思软件有限公司 Method and system for determining motion energy consumption of intelligent stone lock
CN111010537A (en) * 2019-12-06 2020-04-14 苏州智加科技有限公司 Vehicle control method, device, terminal and storage medium
CN113515973A (en) * 2020-04-09 2021-10-19 北京地平线机器人技术研发有限公司 Data acquisition method, training method, adjustment method and device

Similar Documents

Publication Publication Date Title
CN106525056A (en) Method for lane line detection by gyro sensor
CN106919915B (en) Map road marking and road quality acquisition device and method based on ADAS system
CN107235044B (en) A kind of restoring method realized based on more sensing datas to road traffic scene and driver driving behavior
KR102493878B1 (en) controlling host vehicle based on detected spacing between stationary vehicles
Pomerleau RALPH: Rapidly adapting lateral position handler
CN102682292B (en) Method based on monocular vision for detecting and roughly positioning edge of road
US10896626B2 (en) Method, computer readable storage medium and electronic equipment for analyzing driving behavior
CN105678285B (en) A kind of adaptive road birds-eye view transform method and road track detection method
CN105260699B (en) A kind of processing method and processing device of lane line data
EP2605185B1 (en) Detection of obstacles at night by analysis of shadows
DE112020006426T5 (en) SYSTEMS AND METHODS FOR VEHICLE NAVIGATION
CN109359409A (en) A kind of vehicle passability detection system of view-based access control model and laser radar sensor
CN109085823A (en) The inexpensive automatic tracking running method of view-based access control model under a kind of garden scene
CN108519605A (en) Curb detection method based on laser radar and video camera
CN107646114A (en) Method for estimating track
CN110203210A (en) A kind of lane departure warning method, terminal device and storage medium
KR20190132404A (en) Direct vehicle detection as 3D bounding boxes using neural network image processing
EP2372605A2 (en) Image processing system and position measurement system
CN106682646A (en) Method and apparatus for recognizing lane line
CN108068817A (en) A kind of automatic lane change device and method of pilotless automobile
DE112020002764T5 (en) SYSTEMS AND METHODS FOR VEHICLE NAVIGATION
CN108108750A (en) Metric space method for reconstructing based on deep learning and monocular vision
CN107462223A (en) Driving sight distance self-operated measuring unit and measuring method before a kind of highway is turned
CN105835880A (en) Lane tracking system
DE112021002001T5 (en) NAVIGATING A VEHICLE USING AN ELECTRONIC HORIZON

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
AD01 Patent right deemed abandoned
AD01 Patent right deemed abandoned

Effective date of abandoning: 20240419