CN107290346A - Pavement crack detecting system based on two dimensional image and line structure optical sensor - Google Patents

Pavement crack detecting system based on two dimensional image and line structure optical sensor Download PDF

Info

Publication number
CN107290346A
CN107290346A CN201710535246.2A CN201710535246A CN107290346A CN 107290346 A CN107290346 A CN 107290346A CN 201710535246 A CN201710535246 A CN 201710535246A CN 107290346 A CN107290346 A CN 107290346A
Authority
CN
China
Prior art keywords
optical sensor
dimensional image
line structure
structure optical
module
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.)
Granted
Application number
CN201710535246.2A
Other languages
Chinese (zh)
Other versions
CN107290346B (en
Inventor
徐贵力
曾大为
程月华
姜斌
朱春省
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.)
Nanjing University of Aeronautics and Astronautics
Original Assignee
Nanjing University of Aeronautics and Astronautics
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 Nanjing University of Aeronautics and Astronautics filed Critical Nanjing University of Aeronautics and Astronautics
Publication of CN107290346A publication Critical patent/CN107290346A/en
Application granted granted Critical
Publication of CN107290346B publication Critical patent/CN107290346B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G01N2021/8887Scan 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 based on image processing techniques

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Road Repair (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The present invention discloses a kind of pavement crack detecting system merged based on two dimensional image with line structure optical sensor, including detection car and the two dimensional image module being installed on detection car, line structure optical sensor module, computer control module, two dimensional image module is installed on detection Chinese herbaceous peony end, gather the two dimensional image of road surface ahead and preliminarily judge that there is free from flaw situation on road surface online using image-recognizing method, send testing result to computer control module, computer control module is according to the testing result of two dimensional image module, the control signal for being turned on and off its store function is sent to the line structure optical sensor module for being installed on detection car rear end according to decision rule, line structure optical sensor module gathers the cross section data on road surface and the result of decision according to computer control module decides whether to store the data collected, so as to control the cross section data that the storage of line structure optical sensor module may be containing crackle.

Description

Pavement crack detecting system based on two dimensional image and line structure optical sensor
Technical field
The invention provides a kind of detecting system scheme, it is related to the pavement crack detecting system based on line-structured light and is based on The pavement crack detecting system of two dimensional image, belongs to the pavement detection technical field based on computer vision.
Background technology
At present, in crack on road detection field, the detecting system of main flow still uses the pavement crack based on two dimensional image Detecting system, its foundation detected is the difference that light characteristics of the crack under certain illumination condition exist in itself with road surface, but This is not the substantive characteristics in crack, so penetration of fracture information can not be obtained.And it is vulnerable to illumination, the moon in gatherer process The conditions such as shadow, road surface oil and dry and wet aberration are disturbed.
And line-structured light three-dimensional values technology is due to high, the simple in construction and anti-light photograph of accuracy of detection, shade, road surface oil The advantage of the conditions such as dirty and dry and wet aberration interference, it has also become the study hotspot of current fracture detection.Road surface based on line-structured light Crack detection system can obtain the three-dimensional cross section data in road surface, and the essential characteristic in crack, i.e. depth information split as detection The foundation of seam make it that detection is more accurate, but its data volume causes greatly system to put into substantial amounts of carrying cost very much, and limits The working time of system.
The content of the invention
It is a primary object of the present invention to overcome the shortcomings of in existing system there is provided one kind based on two dimensional image and knot The pavement crack detecting system scheme of structure optical sensor fusion, the pavement crack inspection for be particularly suitable for use in high accuracy, working long hours Survey.
The technical problems to be solved by the invention are to provide compact conformation, convenient disassembly, safe and reliable, practical base The pavement crack detecting system scheme merged in two dimensional image with line structure optical sensor, can not only reach high-precision road surface Crack Detection, and pavement crack detecting system cost is greatly reduced, and considerably increase the working time of system.
Another technical problem to be solved by this invention is the structural parameters of design system, and provides a kind of decision rule, So that each module works in an orderly manner.
Therefore it is the invention provides a kind of detected based on the pavement crack that two dimensional image is merged with line structure optical sensor System scheme, it includes the two dimensional image module, line structure optical sensor module, computer control for detecting car and being installed on detection car Molding block and system frame.
Wherein, two dimensional image module is located at detection Chinese herbaceous peony end, gathers the two dimensional image of road surface ahead and utilizes image recognition Method preliminarily judges that there is free from flaw situation on road surface online;Line structure optical sensor module is located at detection car rear end, gathers road surface Cross section data and decide whether to store the data that collect according to the result of decision of computer control module;Computer is controlled Module sends to line structure optical sensor module according to decision rule and is turned on and off according to the testing result of two dimensional image module The control signal of its store function.
In order to achieve the above object, concrete technical scheme of the present invention is:
A kind of pavement crack detecting system merged based on two dimensional image with line structure optical sensor, it is characterised in that:Institute Stating system includes detection car 3 and is installed on the two dimensional image module 2 detected on car 3, line structure optical sensor module 5, computer Control module 4, the two dimensional image module 2 is installed on detection car 3 front end, and line structure optical sensor module 5 is installed on detection car 3 Rear end, the two dimensional image of the collection road surface ahead 1 of two dimensional image module 2 simultaneously preliminarily judges road surface online using image-recognizing method There is free from flaw situation, send testing result to computer control module 4, computer control module 4 is according to two dimensional image module 2 Testing result, according to decision rule to line structure optical sensor module 5 send be turned on and off its store function control believe Number, the cross section data on the collection of line structure optical sensor module 5 road surface 1 are simultaneously determined according to the result of decision of computer control module 4 It is fixed whether to store the data collected, so as to control the cross section number that the storage of line structure optical sensor module 5 may be containing crackle According to the decision rule is as follows:Every in certain detection range, the computer if two dimensional image module 2 detects crack Control module 4 opens the store function of line structure optical sensor module 5, otherwise closes the storage of line structure optical sensor module 5 Function.
Spacing between the detection range of the two dimensional image module 2 and line structure optical sensor module 5 is the of system One structural parameters 7, it is preferable that it should meet relationship below:
In formula:L is first structure parameter 7;
V is the travel speed of detection car 3;
H is the detection range width of pavement detection system;
t1For the time used in two dimensional image recognizer in unit area;
t2The time used in the store function of line structure optical sensor module 5 is turned on and off for computer control module 4.
Further, the width of the detection range of the line structure optical sensor module 5 is the second structural parameters 6, described the Two structural parameters 6 are more than or equal to the detection range width requirement of detecting system.
Further, the width of the detection range of described two dimensional image module 2 is the 3rd structural parameters 8, the described 3rd Structural parameters 8 are more than or equal to the second structural parameters 6.
In system as described above, the length of the detection range between decision-making twice described in the decision rule is The length of the detection range of two dimensional image module 2 adds first structure parameter 7.
In an embodiment of the system of the present invention, line structure optical sensor module 5 includes laser line generator 9 and shooting Machine 10, wherein laser line generator 9 and video camera 10 are in same level.
And in another embodiment, line structure optical sensor module 5 includes laser line generator 9 and video camera 10, wherein Laser line generator 9 and video camera 10 are in same vertical plane, and laser line generator 9 is located at top, and video camera 10 is located under laser line generator 9 Side.Wherein preferably, laser line generator 9 is installed on position more than detection car top half, it is hereby achieved that wider array of scanning Scope.Most preferably, the installation site of laser line generator 9 is higher than detection car roof, as long as can be between security and scanning range Obtain enough balance benefits.
Compared with existing system, the invention has the advantages that:
A kind of pavement crack detecting system merged based on two dimensional image with line structure optical sensor is provided, passes through X-Y scheme There is the online of free from flaw situation preliminarily to judge to realize the efficient fortune of line structure optical sensor module as module shifts to an earlier date road pavement OK, the problem of two dimensional image module can not obtain penetration of fracture information is not only solved, and solves line structure optical sensor Module causes the problem of data volume can not be stored greatly very much because working long hours.
Brief description of the drawings
Fig. 1 is a kind of knot of the pavement crack detecting system merged based on two dimensional image with line structure optical sensor of the present invention Structure schematic diagram;
Fig. 2 is one embodiment of detecting system of the present invention;
Fig. 3 is another embodiment of detecting system of the present invention.
In figure:1st, road surface;2nd, two dimensional image module;3rd, car is detected;4th, computer control module;5th, line-structured light is sensed Device module;6th, the second structural parameters;7th, first structure parameter;8th, the 3rd structural parameters;9th, laser line generator;10th, video camera.
Embodiment
The above is only the general introduction of present system scheme, in order to be better understood upon the technological means of the present invention, under With reference to accompanying drawing, the invention will be further described in face.
As shown in figure 1, the pavement crack detecting system merged based on two dimensional image with line structure optical sensor of the present invention, Including detection car 3 and the two dimensional image module 2 being installed on detection car, line structure optical sensor module 5, computer control module 4.Wherein, 2 pieces of two dimensional image module is located at detection car 3 front end, gathers the two dimensional image of road surface ahead 1 and utilizes image recognition side Method preliminarily judges that there is free from flaw situation on road surface online, and sends testing result to computer control module 4;Line-structured light is passed Sensor module 5 is located at detection car 3 rear end, gathers the cross section data on road surface 1 and according to the result of decision of computer control module 4 Decide whether to store the data collected;Computer control module 4 is according to the testing result of two dimensional image module 2, foundation decision-making Criterion sends the control signal for being turned on and off its store function to line structure optical sensor module 5.Decision rule is:Every one In fixed detection range, computer control module 4 opens line structure optical sensor if two dimensional image module 2 detects crack The store function of module 5, otherwise closes the store function of line structure optical sensor module 5.Wherein in the decision rule, two Interval time between secondary decision-making should be line structure optical sensor module 5 and move to present position before two dimensional image module 2 Time, therefore the length for the detection range being spaced should be the length of the detection range of two dimensional image module 2 plus two dimensional image mould Spacing between the detection range of block 2 and line structure optical sensor module 5.
The first structure parameter 7 of system is between two dimensional image module 2 and the detection range of line structure optical sensor module 5 Spacing, its design requirement should meet following condition, that is, detect distance of the car 3 in traveling length as first structure parameter 7 Time used should be greater than handling time and computer control module 4 used in the two dimensional image under the length and be turned on and off cable architecture Time sum used in the store function of optical sensor module 5, specifically meeting relational expression is:
In formula:L is first structure parameter 7;
V is the travel speed of detection car 3;
H is the detection range width of pavement detection system;
t1For the time used in two dimensional image recognizer in unit area;
t2The time used in the store function of line structure optical sensor module 5 is turned on and off for computer control module 4.
Second structural parameters 6 of system are the detection range width of line structure optical sensor module 5, and its value should be greater than being equal to The detection range width of detecting system requirement.
3rd structural parameters 8 of system are the detection range width of two dimensional image module 2, and its value should be greater than being equal to cable architecture The detection range width of optical sensor module 5, i.e. the second structural parameters 6.
In actual application, line structure optical sensor module 5 according to circumstances, can also use different frame modes.Fig. 2 Two kinds of structures of actual use are given with Fig. 3.Line structure optical sensor module 5 includes laser line generator 9 and video camera 10, laser Device 9 and video camera 10 can use different frame modes, so as to realize different accuracy of detection and detection range, it is adaptable to no Same detection situation.
In fig. 2 it is shown that a kind of frame mode of structured light sensor module 5, using laser line generator 9 and video camera 10 Frame mode on the same water surface, wherein laser line generator 9 are vertically projected to detected road surface, and video camera 10 is gathered from opposite side Striation data.Which accuracy of detection is high, but because laser line generator 9 and video camera 10 are in same plane, should when actual use Mode can be limited by detection height, and the width of roadway of collection is limited, is adapted to one-lane high precision test.
Figure 3 illustrates another frame mode of structured light sensor module 5, laser line generator 9 and shooting are employed Frame mode of the machine 10 on same vertical plane, wherein laser line generator 9 are arranged on detection car top half, and inclination projects tested Road surface is surveyed, video camera 10 is arranged on detection car the latter half, tilts collection striation data.In which, laser line generator 9 can incline Tiltedly projection, launching position is remote, produces wider projection surface, therefore the limitation of the not examined height of which, it is collectable compared with Broad way face, realizes that multilane is detected simultaneously, but which is limited by camera hardware condition, is not suitable for high precision test.
Embodiments of the present invention are described in detail above in conjunction with accompanying drawing, but the invention is not restricted to above-mentioned implementation Mode, in the knowledge that the technical field those of ordinary skill possesses, can also not depart from present inventive concept Under the premise of make a variety of changes.

Claims (9)

1. a kind of pavement crack detecting system merged based on two dimensional image with line structure optical sensor, it is characterised in that:It is described System include detection car (3) and be installed on the two dimensional image module (2) detected on car (3), line structure optical sensor module (5), Computer control module (4), the two dimensional image module (2) is installed on detection car (3) front end, line structure optical sensor module (5) detection car (3) rear end is installed on, the two dimensional image of two dimensional image module (2) collection road surface ahead (1) simultaneously utilizes image recognition Method preliminarily judges that there is free from flaw situation on road surface online, sends testing result to computer control module (4), computer control Molding block (4) is sent out according to the testing result of two dimensional image module (2) according to decision rule to line structure optical sensor module (5) Send the control signal for being turned on and off its store function, the cross section data of line structure optical sensor module (5) collection road surface (1) And decide whether to store the data that collect according to the result of decision of computer control module (4), so as to control line-structured light to pass Sensor module (5) stores cross section data that may be containing crackle, and the decision rule is as follows:Every certain detection range Interior, computer control module (4) opens line structure optical sensor module (5) if two dimensional image module (2) detects crack Store function, otherwise close line structure optical sensor module (5) store function.
2. the pavement crack detecting system according to claim 1 merged based on two dimensional image with line structure optical sensor, Characterized in that, the spacing between the two dimensional image module (2) and the detection range of line structure optical sensor module (5) is to be The first structure parameter (7) of system, it should meet relationship below:
<mrow> <mfrac> <mi>L</mi> <mi>v</mi> </mfrac> <mo>&amp;GreaterEqual;</mo> <msub> <mi>LHt</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>t</mi> <mn>2</mn> </msub> </mrow>
In formula:L is first structure parameter (7);
V is the travel speed of detection car (3);
H is the detection range width of pavement detection system;
t1For the time used in two dimensional image recognizer in unit area;
t2The time used in the store function of line structure optical sensor module (5) is turned on and off for computer control module (4).
3. the pavement crack detecting system according to claim 1 merged based on two dimensional image with line structure optical sensor, Characterized in that, the width of the detection range of the line structure optical sensor module (5) is the second structural parameters (6), described the Two structural parameters (6) are more than or equal to the detection range width requirement of detecting system.
4. the pavement crack detecting system according to claim 3 merged based on two dimensional image with line structure optical sensor, Characterized in that, the width of the detection range of described two dimensional image module (2) is the 3rd structural parameters (8), the 3rd knot Structure parameter (8) is more than or equal to the second structural parameters (6).
5. the pavement crack detecting system according to claim 1 merged based on two dimensional image with line structure optical sensor, Characterized in that, the length of the detection range between decision-making twice described in the decision rule is two dimensional image module (2) Detection range length add first structure parameter (7).
6. the pavement crack detecting system according to claim 1 merged based on two dimensional image with line structure optical sensor, Characterized in that, line structure optical sensor module (5) include laser line generator (9) and video camera (10), wherein laser line generator (9) and Video camera (10) is in same level.
7. the pavement crack detecting system according to claim 1 merged based on two dimensional image with line structure optical sensor, Characterized in that, line structure optical sensor module (5) include laser line generator (9) and video camera (10), wherein laser line generator (9) and Video camera (10) is in same vertical plane, and laser line generator (9) is located at top, and video camera (10) is located at below laser line generator (9).
8. the pavement crack detecting system according to claim 7 merged based on two dimensional image with line structure optical sensor, Characterized in that, laser line generator (9) is installed on position more than detection car top half.
9. the pavement crack detecting system according to claim 8 merged based on two dimensional image with line structure optical sensor, Characterized in that, the installation site of laser line generator (9) is higher than detection car roof.
CN201710535246.2A 2017-04-10 2017-07-03 Pavement crack detection system based on two-dimensional image and line structure optical sensor Expired - Fee Related CN107290346B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN2017102315599 2017-04-10
CN201710231559 2017-04-10

Publications (2)

Publication Number Publication Date
CN107290346A true CN107290346A (en) 2017-10-24
CN107290346B CN107290346B (en) 2020-04-10

Family

ID=60099912

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710535246.2A Expired - Fee Related CN107290346B (en) 2017-04-10 2017-07-03 Pavement crack detection system based on two-dimensional image and line structure optical sensor

Country Status (1)

Country Link
CN (1) CN107290346B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109975501A (en) * 2019-03-22 2019-07-05 中国铁建大桥工程局集团有限公司 A kind of inspection car for sponge city
CN110084844A (en) * 2019-04-25 2019-08-02 中国民航大学 A kind of airfield pavement crack detection method based on depth camera
CN112160227A (en) * 2020-09-30 2021-01-01 珠海阔朗科技有限公司 Intelligent pavement crack repair system
CN113189005A (en) * 2021-05-10 2021-07-30 郑州大学 Portable surface defect integrated detection device and surface defect automatic detection method
CN113561905A (en) * 2021-05-07 2021-10-29 上海厉鲨科技有限公司 Method, equipment and medium for installing road disease inspection equipment and obtaining range
CN114111651A (en) * 2021-11-25 2022-03-01 江苏科技大学 Vehicle-mounted pavement depression detection method based on multi-line structured light

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002039950A (en) * 2000-07-21 2002-02-06 Ohbayashi Corp Method for detecting gap of concrete
JP2003132342A (en) * 2001-10-19 2003-05-09 Dainippon Printing Co Ltd Image input method and device
CN1595054A (en) * 2004-07-14 2005-03-16 天津大学 Compatible and accurate calibration method for double eye line structure photo-sensor and implementing apparatus
CN101701919A (en) * 2009-11-20 2010-05-05 长安大学 Pavement crack detection system based on image and detection method thereof
CN103134777A (en) * 2011-12-01 2013-06-05 现代自动车株式会社 Apparatus and method for detecting road surface properties
CN106441022A (en) * 2016-08-31 2017-02-22 山东省药用玻璃股份有限公司 Full-servo bottleneck comprehensive inspection machine

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002039950A (en) * 2000-07-21 2002-02-06 Ohbayashi Corp Method for detecting gap of concrete
JP2003132342A (en) * 2001-10-19 2003-05-09 Dainippon Printing Co Ltd Image input method and device
CN1595054A (en) * 2004-07-14 2005-03-16 天津大学 Compatible and accurate calibration method for double eye line structure photo-sensor and implementing apparatus
CN101701919A (en) * 2009-11-20 2010-05-05 长安大学 Pavement crack detection system based on image and detection method thereof
CN103134777A (en) * 2011-12-01 2013-06-05 现代自动车株式会社 Apparatus and method for detecting road surface properties
CN106441022A (en) * 2016-08-31 2017-02-22 山东省药用玻璃股份有限公司 Full-servo bottleneck comprehensive inspection machine

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109975501A (en) * 2019-03-22 2019-07-05 中国铁建大桥工程局集团有限公司 A kind of inspection car for sponge city
CN109975501B (en) * 2019-03-22 2022-03-15 中国铁建大桥工程局集团有限公司 A patrol and examine car for sponge city
CN110084844A (en) * 2019-04-25 2019-08-02 中国民航大学 A kind of airfield pavement crack detection method based on depth camera
CN110084844B (en) * 2019-04-25 2023-03-28 中国民航大学 Airport pavement crack detection method based on depth camera
CN112160227A (en) * 2020-09-30 2021-01-01 珠海阔朗科技有限公司 Intelligent pavement crack repair system
CN112160227B (en) * 2020-09-30 2022-03-18 珠海阔朗科技有限公司 Intelligent pavement crack repair system
CN113561905A (en) * 2021-05-07 2021-10-29 上海厉鲨科技有限公司 Method, equipment and medium for installing road disease inspection equipment and obtaining range
CN113189005A (en) * 2021-05-10 2021-07-30 郑州大学 Portable surface defect integrated detection device and surface defect automatic detection method
CN113189005B (en) * 2021-05-10 2022-06-28 郑州大学 Portable surface defect integrated detection device and surface defect automatic detection method
CN114111651A (en) * 2021-11-25 2022-03-01 江苏科技大学 Vehicle-mounted pavement depression detection method based on multi-line structured light

Also Published As

Publication number Publication date
CN107290346B (en) 2020-04-10

Similar Documents

Publication Publication Date Title
CN107290346A (en) Pavement crack detecting system based on two dimensional image and line structure optical sensor
CN102706880B (en) Road information extraction device based on two-dimensional image and depth information and road crack information detection method based on same
CN102737247B (en) Identification system of smoke intensity image of tail gas of diesel vehicle
CN103714363B (en) A kind of motor vehicle exhaust smoke video identification system
CN101694084B (en) Ground on-vehicle mobile detecting system
CN103778681B (en) A kind of vehicle-mounted highway cruising inspection system and data acquisition and disposal route
CN105905132B (en) A kind of track condition intelligent patrol detection apparatus and method
CN100480627C (en) Steel rail wearing integrative parameter vehicle-mounted dynamic measuring device and method
CN112098326B (en) Automatic detection method and system for bridge diseases
CN104392224B (en) A kind of highway pavement crack detecting method
CN101900527B (en) System and method for measuring boxcar volume
CN109242035B (en) Vehicle bottom fault detection device and method
CN106053475A (en) Tunnel disease full-section dynamic rapid detection device based on active panoramic vision
CN104005325A (en) Pavement crack detecting device and method based on depth and gray level images
JP2019196680A (en) Pavement information gathering inspection system, pavement information gathering inspection method, and program
CN103543112B (en) Based on the point source of pollution discharge flux measuring method of Large visual angle imaging spectrometer
CN109278053A (en) A kind of railway tunnel detection method
CN110850435A (en) Vehicle-mounted tunnel geological sketch device and use method
CN102661737A (en) Automatic group measurement system and automatic group measurement method for settlement deformation of tunnel structure
CN105427324A (en) Magneto-optic imaging defect detection method based on automatic search of binary threshold
CN103335601A (en) Quick and automatic detection device for overall dimension of moving vehicle
CN101425128A (en) People stream detecting method based on laser sensor depth image
CN205557277U (en) Pavement crack disease detection system
CN107339950A (en) A kind of track quick track switching operating operation sleeper bolt method for detecting position
CN104006804A (en) Method for detecting offset of contact net based on observation benchmark instability compensation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200410