CN105891220A - Pavement marker line defect detecting device and detecting method thereof - Google Patents

Pavement marker line defect detecting device and detecting method thereof Download PDF

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Publication number
CN105891220A
CN105891220A CN201610390149.4A CN201610390149A CN105891220A CN 105891220 A CN105891220 A CN 105891220A CN 201610390149 A CN201610390149 A CN 201610390149A CN 105891220 A CN105891220 A CN 105891220A
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China
Prior art keywords
image information
pavement marker
region
marker line
detection
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CN201610390149.4A
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CN105891220B (en
Inventor
许坤有
刘廷杰
王锐
丁建华
王栋
薛万标
韩毅
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Kunshan Transportation Engineering Test Center Co Ltd
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Kunshan Transportation Engineering Test Center Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • G01N2021/8861Determining coordinates of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • G01N2021/8874Taking dimensions of defect into account
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • G01N2021/888Marking defects

Abstract

The invention discloses a pavement marker line defect detecting device and a detecting method thereof. The pavement marker line defect detecting device comprises image information collecting units, an image information processing unit, an image information detecting unit and a location information collecting unit, wherein the image information collecting units are fixedly arranged at the left side and the right side of the lower portion of a detecting vehicle tail and used for obtaining pavement image information of the position where the detecting vehicle is located and generating images; the input end of the image information processing unit is electrically connected with the output end of the image information collecting units, and the image information processing unit is used for recognizing and processing pavement marker lines of the pavement image information in the images to obtain area and shape data information of the pavement marker lines; the input end of the image information detecting unit is electrically connected with the output end of the image information processing unit, and the image information detecting unit is used for detecting defect and damage conditions of the pavement marker lines; the location information collecting unit is used for obtaining geographical location information of the pavement marker lines. Compared with the prior art, integration of the detecting vehicle and detection equipment is adopted, potential safety hazards in the detection process are reduced, it is avoided that the complex pavement is affected by vehicles and pedestrians, detection accuracy is high, and operation efficiency and quality are improved.

Description

A kind of pavement marker line defect detection device and detection method thereof
Technical field
The present invention relates to a kind of pavement marker line defect detection device and detection method thereof.
Background technology
Modern Traffic system is the most flourishing, but due to traffic safety problem, people couple The demand of road traffic environment is more and more higher.Wherein, pavement marker line is to guide vehicle safety The pith driven, is directly passed to driver, pedestrian by pattern, symbol, word etc. Visual information accurately.The most effective pavement marker line can reduce vehicle accident, guarantee Unimpeded traffic environment;On the other hand pavement marker line is also of road landscape cosmetic treatment Point.But, after using a period of time, pavement marker line there will be breakage, observability is moved back naturally The defects such as change, affect its traffic direction-pointing function and road is attractive in appearance, therefore, from road maintenance, The defect breakage needing road pavement markings carries out periodic detection.
Existing traditional detection method is manual site's visual assessment or hand dipping collection, and it lacks Point is to waste time and energy, and the accuracy of data is easily by interference from human factor, collection in worksite simultaneously There is potential safety hazard in operation.
Existing novel detection method is to use Vision Builder for Automated Inspection detection pavement marker line, but this The means of kind are used for Vehicular navigation system.Its shortcoming is easily by vehicle, pedestrian etc. at complex road surface Non-detection information is disturbed, and can not be accurately positioned the pavement marker line detected.
Summary of the invention
In order to solve above-mentioned technical problem, the invention provides a kind of pavement marker line defect detection Device and detection method thereof.
In order to achieve the above object, technical scheme is as follows:
The present invention provides a kind of pavement marker line defect detection device, including:
Image information collecting unit, its be fixedly installed on detection car tailstock bottom the left and right sides, In order to obtain the pavement image information of detection car present position and to generate picture;
Image Information Processing unit, its input is electrically connected with the outfan of image information collecting unit Connect, in order to identify road surface image information in picture pavement marker line and process after obtain road marking The area of will line and the data message of shape;
Image information detector unit, its input is electrically connected with the outfan of Image Information Processing unit Connect, in order to detect defect and the breakage of pavement marker line;
Locating information acquisition unit, in order to obtain the geographical location information of pavement marker line.
The present invention is integrated compared to prior art, employing detection car and detection equipment, reduces Potential safety hazard during detection, it also avoid complex road surface is affected by vehicle and pedestrian, inspection The accuracy surveyed is high, improves working performance and quality.
Wherein, above-mentioned image information collecting unit includes two high-speed area array cameras, and it is respectively It is fixedly installed on the left and right sides of detection car tailstock bottom;
Above-mentioned locating information acquisition unit includes rotary encoder and gps receiver, rotates and compiles Code device is arranged on the wheel of detection car in order to record the distance travelled of detection car, gps receiver It is arranged on detection car in order to obtain the geographical location information of detection car.
As preferred scheme, above-mentioned locating information acquisition unit and the vehicle mounted guidance detecting car Device connects, in order to obtain the geographical location information detecting car the navigation at on-vehicle navigation apparatus The pavement marker line position of breakage is marked to share to road-maintaining truck on map.
Please supplemental image information process unit composition and between annexation.
As preferred scheme, the image information that above-mentioned being additionally provided with is fixed in detection car is deposited Storage and monitoring means, including information memory card and car-mounted computer, the input of information memory card With image information collecting unit, Image Information Processing unit, image information detector unit, location The outfan electrical connection of information acquisition unit, the outfan of information memory card and car-mounted computer Input electrically connect, in order to the pavement image information detected, the area of pavement marker line and Shape information, geographical location information and identify the whether damaged conclusion in region carry out storing and Display.
On the basis of technique scheme, also can do and improve as follows:
As preferred scheme, the present invention also provides for a kind of pavement marker line defect detection method, Apply above-mentioned pavement marker line defect detection device, comprise the following steps:
Step 1: driving detection car to sail road to be detected into, locating information acquisition unit starts to adopt Collection geographical location information determines the positional information of detection car;
Step 2: during detection garage enters, use two high-speed area array collected by camera road surfaces Image information also generates picture;
Step 3: the picture that pictorial information processing unit photographed according to two high-speed area array cameras enters Row image procossing, identifies the pavement marker line in picture, determines the area identifying region Data message with shape;
Step 4: pictorial information detector unit carries out image according to the pavement marker line identified Processing, detection pavement marker line is the most defective and damaged.
As preferred scheme, above-mentioned also includes step 5: control image information storage and prison Surveying cell operation, information memory card is by pavement marker line area and the data message of shape, geography Positional information and identify the conclusion storage that region is whether damaged, and testing result is shown On car-mounted computer.
As preferred scheme, it is the most defective that above-mentioned step 4 judges to detect pavement marker line Comprise the following steps with damaged method:
(1) in the plane identifying region, set up coordinate system, be x side with zone length direction To, width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n section, forms n The little identification region that individual x direction is equivalently-sized;
(3) to n little identification region, the least surrounding boxes of correspondence is simulated respectively;
(4) calculate according to below equation:
Δ i=Ai-ai
Wherein, ΔiRepresenting the damaged difference in areas in i-th little identification region, ai represents each little Identifying the area in region, Ai represents the least surrounding boxes corresponding to the 1st little identification region Area;
(5) calculate according to below equation:
z = Σ i = 1 n Δ i
Wherein, z represents the total damaged difference in areas identifying region;
(6) damaged degree ultimate value δ is set, if z≤δ, then it is assumed that without damaged;If z is > δ, Then think there is breakage.
Use above-mentioned preferred version, for detecting the rectangular degree of pavement marker line more accurately, more Effectively.
As preferred scheme, it is the most defective that above-mentioned step 4 judges to detect pavement marker line Comprise the following steps with damaged method:
(1) in the plane identifying region, set up coordinate system, be x side with zone length direction To, width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n section, forms n The little identification region that individual x direction is equivalently-sized;
(3) calculate the area in each little identification region, be designated as Si;And find out area maximum Region, is designated as S0
(4) calculate according to below equation:
a = Σ i = 1 n | S 0 - S i |
Wherein, α represents the total damaged difference in areas identifying x direction, region;
(5) in i.e. y direction, peak width direction, identification region is divided into m section, forms a m The little identification region that direction is equivalently-sized;
(6) calculate the area in each little identification region, be designated as Pj;And find out area maximum Region, is designated as P0
(7) calculate according to below equation:
Wherein, b represents the total damaged difference in areas identifying y direction, region;
(8) calculate according to below equation: c=a+b
Wherein, c represents the comprehensive damaged difference in areas identifying region;
(9) damaged degree ultimate value δ is set, if c≤δ, then it is assumed that without damaged;If C > δ, then it is assumed that have breakage.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of one embodiment of the present invention.
Fig. 2 is the structural representation of the detection car of one embodiment of the present invention.
Fig. 3 is the flow process of the pavement marker line defect detection method of one embodiment of the present invention Figure.
Fig. 4 is that the structure of the pavement marker line defect detection method of one embodiment of the present invention is shown It is intended to.
Fig. 5 is the flow process of the pavement marker line defect detection method of another embodiment of the present invention Figure.
Fig. 6 is the structure of the pavement marker line defect detection method of another embodiment of the present invention Schematic diagram.
Wherein, car, 2. locating information acquisition unit, 3. image information collecting unit are 1. detected.
Detailed description of the invention
Describe the preferred embodiment of the present invention below in conjunction with the accompanying drawings in detail.
In order to reach the purpose of the present invention, as shown in Figures 1 to 4, in wherein the one of the present invention Plant and embodiment provides a kind of pavement marker line defect detection device, including:
Image information collecting unit 3, it is fixedly installed on the left and right two of detection car 1 tailstock bottom Side, in order to obtain the pavement image information of detection car 1 present position and to generate picture;
Image Information Processing unit, its input is electric with the outfan of image information collecting unit 3 Connect, in order to identify road surface image information in picture pavement marker line and process after acquisition road surface The area of markings and the data message of shape;
The outfan of image information detector unit, its input and described Image Information Processing unit Electrical connection, in order to detect defect and the breakage of pavement marker line;
Locating information acquisition unit, in order to obtain the geographical location information of pavement marker line.
Present embodiment is integrated compared to prior art, employing detection car and detection equipment, fall Potential safety hazard during low detection, it also avoid complex road surface by vehicle and the shadow of pedestrian Ringing, the accuracy of detection is high, improves working performance and quality.
Wherein, above-mentioned image information collecting unit includes two high-speed area array cameras, and it is respectively It is fixedly installed on the left and right sides of detection car tailstock bottom;
Above-mentioned locating information acquisition unit includes rotary encoder and gps receiver, rotates and compiles Code device is arranged on the wheel of detection car in order to record the distance travelled of detection car, gps receiver It is arranged on detection car in order to obtain the geographical location information of detection car.
In order to optimize the implementation result of the present invention further, the another kind of embodiment party of the present invention In formula, on the basis of foregoing teachings, above-mentioned locating information acquisition unit and the car detecting car Load guider connects, in order to obtain the geographical location information of detection car and at on-vehicle navigation apparatus Navigation map on mark breakage pavement marker line position to share to road-maintaining truck.
Please supplemental image information process unit composition and between annexation.
As preferred scheme, the image information that above-mentioned being additionally provided with is fixed in detection car is deposited Storage and monitoring means, including information memory card and car-mounted computer, the input of information memory card With Image Information Processing unit, image information detector unit, the output of locating information acquisition unit End electrical connection, the outfan of information memory card electrically connects with the input of car-mounted computer, in order to To the pavement image information detected, the area of pavement marker line and the data message of shape, Reason positional information and identify that whether damaged region conclusion store and show.
In order to optimize the implementation result of the present invention further, the another kind of embodiment party of the present invention In formula, on the basis of foregoing teachings, the present embodiment also provides for a kind of pavement marker line defect inspection Survey method, applies above-mentioned pavement marker line defect detection device, comprises the following steps:
Step 1: driving detection car to sail road to be detected into, locating information acquisition unit starts to adopt Collection geographical location information determines the positional information of detection car;
Step 2: during detection garage enters, use two high-speed area array collected by camera road surfaces Image information also generates picture;
Step 3: the picture that pictorial information processing unit photographed according to two high-speed area array cameras enters Row image procossing, identifies the pavement marker line in picture, determines the area identifying region Data message with shape;
Step 4: pictorial information detector unit carries out image according to the pavement marker line identified Processing, detection pavement marker line is the most defective and damaged.
As preferred scheme, above-mentioned also includes step 5: control image information storage and prison Surveying cell operation, information memory card is by pavement marker line area and the data message of shape, geography Positional information and identify the conclusion storage that region is whether damaged, and testing result is shown On car-mounted computer.
As it is shown on figure 3, for the implementation result optimizing the present invention further, the present invention's In another embodiment, on the basis of foregoing teachings, above-mentioned step 4 judges detection road Markings the most defective and damaged method in face comprises the following steps:
(1) in the plane identifying region, set up coordinate system, be x side with zone length direction To, width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n (n takes 5) section, Form equivalently-sized little identification region, 5 x directions;
(3) to described 5 little identification regions, the least surrounding boxes of correspondence is simulated respectively;
(4) calculate the area in the 1st little identification region, be designated as a1;Calculate the 1st little knowledge The area of the least surrounding boxes that other region is corresponding, is designated as A1, calculate;Δ1=A1-a1
Calculate the area in the 2nd little identification region, be designated as a2;Calculate the 2nd little identification region The area of corresponding the least surrounding boxes, is designated as A2, calculate:;Δ2=A2-a2
Calculate the area in the 3rd little identification region, be designated as a3;Calculate the 3rd little identification region The area of corresponding the least surrounding boxes, is designated as A3, calculate:;Δ3=A3-a3
Calculate the area in the 4th little identification region, be designated as a4;Calculate the 4th little identification region The area of corresponding the least surrounding boxes, is designated as A4, calculate:;Δ4=A4-a4
Calculate the area in the 5th little identification region, be designated as a5;Calculate the 5th little identification region The area of corresponding the least surrounding boxes, is designated as A5, calculate:;Δ5=A5-a5
(5) calculate according to below equation:
z = Σ i = 1 n Δ i
Wherein, z represents the total damaged difference in areas identifying region;
(6) damaged degree ultimate value δ is set, if z≤δ, then it is assumed that without damaged;If z is > δ, Then think there is breakage.
Use above-mentioned preferred version, for detecting the rectangular degree of pavement marker line more accurately, more Effectively.
As shown in Figure 4, in order to optimize the implementation result of the present invention further, the present invention's In another embodiment, on the basis of foregoing teachings, above-mentioned step 4 judges detection road Markings the most defective and damaged method in face comprises the following steps:
(1) in the plane identifying region, set up coordinate system, be x side with zone length direction To, width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n (n takes 10) section, Form equivalently-sized little identification region, 10 x directions;
(3) calculate the area in each little identification region, be designated as Si;And find out area maximum Region, is designated as S0
(4) calculate according to below equation:
a = Σ i = 1 n | S 0 - S i |
Wherein, α represents the total damaged difference in areas identifying x direction, region;
(5) in i.e. y direction, peak width direction, identification region is divided into m (m takes 20) section, Form the little identification region that 20 direction is equivalently-sized;
(6) calculate the area in each little identification region, be designated as Pj;And find out area maximum Region, is designated as P0
(7) calculate according to below equation:
Wherein, b represents the total damaged difference in areas identifying y direction, region;
(8) calculate according to below equation: c=a+b
Wherein, c represents the comprehensive damaged difference in areas identifying region;
(9) damaged degree ultimate value δ is set, if c≤δ, then it is assumed that without damaged;If C > δ, then it is assumed that have breakage.
In order to optimize the implementation result of the present invention further, the another kind of embodiment party of the present invention In formula, on the basis of foregoing teachings, in above-mentioned step 3, pictorial information processing unit is tied Close HALCON machine vision software, by the region recognition of the pavement marker line in image out.
The pavement image Actual Image obtained for area array cameras, utilizes sobel operator to carry Take image border, obtain gradient region image Gradient;And set two threshold values to determine ash Angle value scope, carries out threshold process to image, obtains the bianry image of only two gray values, I.e. distinguish the region that amplitude is bigger, and the pixel giving corresponding output image be white (255), Obtain the image-region image Points set in intensity value ranges;Then the white that will extract Pixel colours, and identifies by green, is thus identified region RegionFillUp.
Specific algorithm step therein is as follows:
(1) the pavement image Actual Image that reading face array camera obtains, if the of the upper left corner One pixel is initial point, is to the right the positive direction of x-axis, is downwards the positive direction of y-axis.
(2) reduction image definition territory, in obtaining specifying net region StreetGrid Actual Image image, is output as overlay area image Mask.
(3) image border enhancement process, prepares for follow-up threshold process.
(4) use the image border of sobel operator extraction overlay area image Mask, calculate:
With
Obtain gradient:
Wherein,It is respectively detection image level edge, hangs down The template of straight edge, F is original image, Gx、GyIt is respectively through horizontal edge detection, hangs down The image of straight edge detection, G is the gradient of rim detection.
Utilize " sum-abs " filtering type, obtain gradient region image Gradient.
(5) gradient region Gradient is carried out threshold process, by two threshold values by image Edge extracting is out.
Set two threshold values MinGray, MaxGray,
Wherein, (x y) is the pixel coordinate in processed gradient region Gradient; (x, y) for the gray value of the pixel in processed gradient region Gradient for F;Q (x, Y) for the pixel value of the pixel in new region Points of acquisition after processing.Only thus obtain There is the bianry image of two gray values, i.e. distinguish the region that amplitude is bigger, and give corresponding defeated Publish picture picture pixel for white (255), it is thus achieved that gray value is at MinGray≤F (x, y)≤MaxGray model Enclose interior image-region Points.
(6) rectangle expansion is carried out centered by the point in the image-region Points detected, Obtain expansion area RegionDilation.
(7) reduction image definition territory, obtains in expansion area RegionDilation Actual Image image, is output as white lane line region StripGray.I.e. white car Diatom extracts from image
(8) white lane line region StripGray is carried out threshold process, binaryzation, i.e. Find out the region that amplitude is bigger, it is thus achieved that gray value pavement marker line in the range of 190-225 Region Strip
(9) filling, the white pixel point green in road pavement markings region Strip is entered Row coloring, obtains lane line and fills region RegionFillUp, i.e. identify region.
Above-described is only the preferred embodiment of the present invention, it is noted that for this area Those of ordinary skill for, without departing from the concept of the premise of the invention, it is also possible to do Going out some deformation and improvement, these broadly fall into protection scope of the present invention.

Claims (10)

1. a pavement marker line defect detection device, it is characterised in that including:
Image information collecting unit, it is fixedly installed on the left and right sides of detection car tailstock bottom, uses To obtain the pavement image information of detection car present position and to generate picture;
Image Information Processing unit, its input is electric with the outfan of described image information collecting unit Connect, in order to identify road surface image information in picture pavement marker line and process after acquisition road marking The area of will line and the data message of shape;
Image information detector unit, its input is electric with the outfan of described Image Information Processing unit Connect, in order to detect defect and the breakage of pavement marker line;
Locating information acquisition unit, in order to obtain the geographical location information of pavement marker line.
Pavement marker line defect the most according to claim 1 detection device, it is characterised in that Described image information collecting unit includes two high-speed area array cameras, and it is fixedly installed on detection respectively The left and right sides of car tailstock bottom.
Pavement marker line defect the most according to claim 1 detection device, it is characterised in that Described locating information acquisition unit includes rotary encoder and gps receiver, described rotary encoder Being arranged on the wheel of detection car in order to record the distance travelled of detection car, described gps receiver sets It is placed on detection car in order to obtain the geographical location information of detection car.
Pavement marker line defect the most according to claim 1 detection device, it is characterised in that Described locating information acquisition unit is connected, in order to obtain detection car with the on-vehicle navigation apparatus of detection car Geographical location information and mark on the navigation map of on-vehicle navigation apparatus breakage pavement marker line Position is to share to road-maintaining truck.
Pavement marker line defect the most according to claim 1 detection device, it is characterised in that Described Image Information Processing unit includes image recognizer and message handler, described image recognizer Input electrically connect with described image information collecting unit outfan, described image recognizer defeated Go out end to electrically connect with the input of described message handler, the outfan of described message handler and institute State the input electrical connection of image information detector unit.
Pavement marker line defect the most according to claim 1 detection device, it is characterised in that It is additionally provided with the image information storage and monitoring means being fixed in detection car, including information memory card And car-mounted computer, the input of described information memory card and described image information collecting unit, figure As information process unit, image information detector unit, the outfan of locating information acquisition unit are electrically connected Connecing, the outfan of described information memory card electrically connects with the input of described car-mounted computer, in order to To the pavement image information detected, the area of pavement marker line and the data message of shape, geography Positional information and identify that whether damaged region conclusion store and show.
7. a pavement marker line defect detection method, it is characterised in that apply such as claim The arbitrary described pavement marker line defect detection device of 1-5, comprises the following steps:
Step 1: driving detection car to sail road to be detected into, locating information acquisition unit starts locality Reason positional information determines the positional information of detection car;
Step 2: during detection garage enters, use two high-speed area array collected by camera pavement images Information also generates picture;
Step 3: the picture that pictorial information processing unit photographed according to two high-speed area array cameras carries out figure As processing, the pavement marker line in picture is identified, determine area and the shape identifying region Data message;
Step 4: pictorial information detector unit is carried out at image according to the pavement marker line identified Reason, detection pavement marker line is the most defective and damaged.
Pavement marker line defect detection method the most according to claim 7, it is characterised in that Also include step 5: controlling image information storage and work with monitoring means, information memory card is by road marking Will line area and the data message of shape, geographical location information and identify that region is the most damaged Conclusion stores, and testing result is shown on car-mounted computer.
Pavement marker line defect detection method the most according to claim 7, it is characterised in that Described step 4 judges that the method detecting pavement marker line the most defective and damaged comprises the following steps:
(1) in the plane identifying region, coordinate system is set up, with zone length direction for x direction, Width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n section, forms n x The little identification region that direction is equivalently-sized;
(3) to described n little identification region, the least surrounding boxes of correspondence is simulated respectively;
(4) calculate according to below equation:
Δ i=Ai-ai
Wherein, ΔiRepresenting the damaged difference in areas in i-th little identification region, ai represents each little identification The area in region, Ai represents the area of the least surrounding boxes corresponding to the 1st little identification region;
(5) calculate according to below equation:
z = Σ i = 1 n Δ i
Wherein, z represents the total damaged difference in areas identifying region;
(6) damaged degree ultimate value δ is set, if z≤δ, then it is assumed that without damaged;If z is > δ, Then think there is breakage.
Pavement marker line defect detection method the most according to claim 7, it is characterised in that Described step 4 judges that the method detecting pavement marker line the most defective and damaged comprises the following steps:
(1) in the plane identifying region, coordinate system is set up, with zone length direction for x direction, Width is y direction, one regional space XY of each point composition on region;
(2) in i.e. x direction, zone length direction, identification region is divided into n section, forms n x The little identification region that direction is equivalently-sized;
(3) calculate the area in each little identification region, be designated as Si;And find out the region that area is maximum, It is designated as S0
(4) calculate according to below equation:
a = Σ i = 1 n | S 0 - S i |
Wherein, α represents the total damaged difference in areas identifying x direction, region;
(5) in i.e. y direction, peak width direction, identification region is divided into m section, forms a m side To equivalently-sized little identification region;
(6) calculate the area in each little identification region, be designated as Pj;And find out the region that area is maximum, It is designated as P0
(7) calculate according to below equation:
Wherein, b represents the total damaged difference in areas identifying y direction, region;
(8) calculate according to below equation: c=a+b
Wherein, c represents the comprehensive damaged difference in areas identifying region;
(9) damaged degree ultimate value δ is set, if c≤δ, then it is assumed that without damaged;If c is > δ, then it is assumed that have breakage.
CN201610390149.4A 2016-06-02 2016-06-02 A kind of pavement marker line defect detection device and its detection method Active CN105891220B (en)

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CN108108703A (en) * 2017-12-27 2018-06-01 天津英创汇智汽车技术有限公司 Deceleration strip missing detection method, device and electronic equipment
CN108759670A (en) * 2018-05-31 2018-11-06 成都唐源电气股份有限公司 A kind of contact line abrasion device for dynamically detecting based on non-contact detection technology
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CN115984806A (en) * 2023-03-20 2023-04-18 四川京炜数字科技有限公司 Road marking damage dynamic detection system
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