CN107025796A - Automobile assistant driving vision early warning system and its method for early warning - Google Patents
Automobile assistant driving vision early warning system and its method for early warning Download PDFInfo
- Publication number
- CN107025796A CN107025796A CN201710296663.6A CN201710296663A CN107025796A CN 107025796 A CN107025796 A CN 107025796A CN 201710296663 A CN201710296663 A CN 201710296663A CN 107025796 A CN107025796 A CN 107025796A
- Authority
- CN
- China
- Prior art keywords
- processing module
- image
- vision
- early warning
- initial data
- 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
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of automobile assistant driving vision early warning system and its method for early warning, the system includes master controller, vehicle-mounted vidicon, the warning lamp of multiple different colours, loudspeaker and display screen, vision processing module and drive module are integrated with the master controller, the vehicle-mounted vidicon can gather the view data of condition of road surface in real time, and be transferred to the vision processing module；The vision processing module is handled the view data of condition of road surface, draw road condition information, resulting road condition information is also transferred to the drive module by the vision processing module simultaneously, and the drive module controls multiple warning lamps, the loudspeaker and display screen work according to road condition information accordingly；The system enables to driver to grasp condition of road surface in time, substantially increases reaction speed when driver drives, improves drive safety；In addition the method for early warning of the system is also simple to operate, automaticity is high, and practicality is good.
Description
Technical field
The present invention relates to car steering obstacle avoidance system technical field, a kind of automobile assistant driving vision early warning system is specifically provided
System and its method for early warning.
Background technology
In recent years, economic fast development, private car quantity is growing day by day, causes road crowded, brings the friendship of many
Interpreter's event, huge loss is caused to the person and property of people.Although the reason for causing traffic accident has a lot, mainly
Factor or the reason for driver itself, is exactly that generation of the driver to accident can not make timely, correct pre- specifically
Sentence and cause.Therefore, if certain measure can be taken, guiding function is played to the driver behavior of driver, will necessarily be reduced
The incidence of traffic accident.
In view of this, it is special to propose the present invention.
The content of the invention
In order to overcome drawbacks described above, the invention provides a kind of automobile assistant driving vision early warning system and its pre- police
Method, the system enables to driver to grasp condition of road surface in time, substantially increases reaction speed when driver drives, lifting
Drive safety.
The technical scheme that is used to solve its technical problem of the present invention is：A kind of automobile assistant driving vision early warning system
System, including master controller, vehicle-mounted vidicon, the warning lamp of multiple different colours, loudspeaker and display screen, wherein, the master
Vision processing module and drive module are integrated with controller, the vehicle-mounted vidicon can gather the image of condition of road surface in real time
Data, and it is transferred to the vision processing module；The vision processing module is handled the view data of condition of road surface, is obtained
Go out road condition information, while resulting road condition information is also transferred to the driving mould by the vision processing module
Block, the drive module controls multiple warning lamps, the loudspeaker and described aobvious according to road condition information accordingly
Display screen works.
As a further improvement on the present invention, the master controller is from 32 embeded processors；The vehicle-mounted pick-up
Machine selects ccd video camera.
As a further improvement on the present invention, the vision processing module selects the image procossing based on OpenCV visions storehouse
Module.
As a further improvement on the present invention, be additionally provided with power module, the power module be used to the master controller,
Vehicle-mounted vidicon, multiple warning lamps, loudspeaker and display screen work provide electric energy.
The invention also discloses a kind of method for early warning using automobile assistant driving vision early warning system of the present invention, bag
Include following steps：
A) the consecutive image video of condition of road surface, is gathered in real time by the vehicle-mounted vidicon, and by captured image
Video original data is transferred to the vision processing module；
B), the vision processing module receives the image/video initial data that the vehicle-mounted vidicon is transmitted, and
The image/video initial data is handled, road condition information is drawn, while the vision processing module will also be resulting
Road condition information be transferred to the drive module；
C), the drive module receives the road condition information that the vision processing module is transmitted, and accordingly
Control multiple warning lamps, the loudspeaker and display screen work.
As a further improvement on the present invention, in above-mentioned steps b), the vision processing module is to image/video original number
Mainly include handling the image/video initial data of traffic lights, traffic sign and mobile object according to handle, have
Body processing method is：
B1), the image/video initial data to traffic lights is handled：The vision processing module receives described vehicle-mounted
The image/video initial data that camera transmissions come, is identified first with outline identification algorithm from image/video initial data
Traffic lights information, then extracts the CR channel values for meeting traffic lights color, and show that color two dimension is straight using calibration algorithm again
Fang Tu；Finally nationality is with the color database of foundation inside the vision processing module again, and comparison draws color value；
B2), the image/video initial data to traffic sign is handled：The vision processing module receives the car
The image/video initial data that camera transmissions come is carried, and image/video initial data is sequentially carried out at coarse segmentation algorithm
Reason, SHAPE DETECTION algorithm process, feature extraction and the processing of first sorting algorithm, draw interested in the image/video initial data
Contour images；Then nationality, with the standard form containing various traffic signs set up inside the vision processing module, is selected again
The standard form of the traffic sign matched with the contour images interested in the image/video initial data, so as to identify this
Traffic sign type belonging to contour images interested；
B3), the image/video initial data to mobile object is handled：The vision processing module receives the car
The image/video initial data that camera transmissions come is carried, and grayscale equalization algorithm is sequentially carried out to image/video initial data
Processing, Boundary extracting algorithm processing, contour feature are extracted and Binarization methods processing, judge image between video previous frame and rear frame
Difference, and then judge position and the variation tendency of mobile object；Then monocular location algorithm is recycled to estimate out motive objects
The distance between body and car, while also whether judging in the range of safety value the distance between mobile object and car.
As a further improvement on the present invention, corresponding to above-mentioned processing b1), the vision processing module is by the color of gained
Value is transferred to the drive module, and the drive module control one warning lamp corresponding with the color value is bright, while described drive
Dynamic model block also controls the loudspeaker and display screen that the color value is played out and shown accordingly respectively；
Corresponding to above-mentioned processing b2), the traffic sign type information of gained is transferred to described by the vision processing module
Drive module, the drive module controls the loudspeaker and display screen to be carried out accordingly to the traffic sign type information respectively
Play and show；
Corresponding to above-mentioned processing b3), the vision processing module is by the position of the mobile object of gained and variation tendency, shifting
Whether result of determination in the range of safety value is equal for the distance between the distance between animal body and car and mobile object and car
It is transferred to the drive module, the drive module controls the loudspeaker and display screen position respectively to mobile object and change
The distance between change trend, mobile object and car and result of determination is corresponding plays out and show.
The beneficial effects of the invention are as follows：Compared to prior art, automobile assistant driving vision early warning system of the present invention
System being capable of complete monitoring, automatic identification traffic lights, traffic sign and mobile object, and pass through warning lamp, loudspeaker and display screen
Feed back to driver in time so that driver can grasp condition of road surface in time, substantially increase reaction when driver drives
Speed, efficiently reduce because driver neglect and caused by break in traffic rules and regulations phenomenon occur, improve drive safety, ensured and driven
The person of sailing and the safety of life and property of pedestrian；In addition, the method for early warning of the automobile assistant driving vision early warning system also operates letter
Single, automaticity is high, and practicality is good.
Brief description of the drawings
Fig. 1 is the operation principle block diagram of automobile assistant driving vision early warning system of the present invention；
Fig. 2 is the flow chart of the method for early warning of automobile assistant driving vision early warning system of the present invention.
With reference to accompanying drawing, make the following instructions：
1 --- master controller 10 --- vision processing module
11 --- drive module 2 --- vehicle-mounted vidicons
3 --- warning lamp 4 --- loudspeakers
5 --- display screen
Embodiment
Illustrate embodiments of the present invention by particular specific embodiment below, people skilled in the art can be by this theory
Content disclosed in bright book understands other advantages and effect of the present invention easily.
Embodiment 1：
Refer to shown in accompanying drawing 1, it is the operation principle square frame of automobile assistant driving vision early warning system of the present invention
Schematic diagram.Described automobile assistant driving vision early warning system includes master controller 1, vehicle-mounted vidicon 2, multiple different colours
Warning lamp 3, loudspeaker 4 and display screen 5, wherein, vision processing module 10 and driving mould are integrated with the master controller 1
Block 11, the vehicle-mounted vidicon 2 can gather the view data of condition of road surface in real time, and be transferred to the vision processing module
10；The vision processing module 10 is handled the view data of condition of road surface, draws road condition information, while described regard
Feel that resulting road condition information is also transferred to the drive module 11 by processing module 10, the drive module 11 is according to road
Road condition information controls multiple warning lamps 3, the loudspeaker 4 and the display screen 5 to work accordingly.
In the present embodiment, it is preferred that the master controller 1 is described from 32 embeded processors (raspberry sent for 3 generations)
Vision processing module 10 selects the image processing module based on OpenCV visions storehouse；The vehicle-mounted vidicon 2 is imaged from CCD
Machine.
It is preferred that, it is additionally provided with power module, the power module is used to the master controller 1, vehicle-mounted vidicon 2, many
Individual warning lamp 3, loudspeaker 4 and the work of display screen 5 provide electric energy.
The method for early warning of automobile assistant driving vision early warning system of the present invention is described in detail below.
Embodiment 2：
Refer to shown in accompanying drawing 2, the method for early warning of the automobile assistant driving vision early warning system comprises the following steps：
A), by the consecutive image video of the vehicle-mounted vidicon 2 collection condition of road surface in real time, and by captured image
Video original data is transferred to the vision processing module 10；
B), the vision processing module 10 receives the image/video initial data that the vehicle-mounted vidicon 2 is transmitted,
And the image/video initial data is handled, road condition information is drawn, while the vision processing module 10 is also by institute
Obtained road condition information is transferred to the drive module 11；
C), the drive module 11 receives the road condition information that the vision processing module 10 is transmitted, and phase
The multiple warning lamps 3 of control, the loudspeaker 4 and the display screen 5 answered work.
In the present embodiment, vision processing module 10 is handled image/video initial data described in above-mentioned steps b)
It is main to include handling the image/video initial data of traffic lights, traffic sign and mobile object, specific processing method
For：
B1), the image/video initial data to traffic lights is handled：The vision processing module 10 receives the car
The image/video initial data that video camera 2 is transmitted is carried, is known first with outline identification algorithm from image/video initial data
Do not go out traffic lights information, the CR channel values for meeting traffic lights color are then extracted again, and color two is drawn using calibration algorithm
Tie up histogram；The color database that finally nationality is set up with the inside of vision processing module 10 again, comparison draws color value
(" red ", " green ", " Huang ")；
Accordingly, now resulting color value is also transferred to the drive module 11 by the vision processing module 10,
The drive module 11 control one warning lamp 3 corresponding with the color value is bright, while described in the drive module 11 also controls
Loudspeaker 4 and display screen 5 are played out and shown accordingly to the color value respectively.
B2), the image/video initial data to traffic sign is handled：The vision processing module 10 receives described
The image/video initial data that vehicle-mounted vidicon 2 is transmitted, and coarse segmentation algorithm is sequentially carried out to image/video initial data
Processing, SHAPE DETECTION algorithm process, feature extraction and the processing of first sorting algorithm, show that the sense in the image/video initial data is emerging
Interesting contour images；Then the standard form containing various traffic signs that nationality is set up with the inside of vision processing module 10 again, choosing
The standard form of the traffic sign matched with the contour images interested in the image/video initial data is selected out, so as to recognize
Go out traffic sign type belonging to the contour images interested (such as：" advance ", " left-hand rotation ", " right-hand rotation " etc. indicate)；
Accordingly, now resulting traffic sign type information is also transferred to the drive by the vision processing module 10
Dynamic model block 11, the drive module 11 controls the loudspeaker 4 and display screen 5 corresponding to the traffic sign type information respectively
Play out and show.
B3), the image/video initial data to mobile object is handled：The vision processing module 10 receives described
The image/video initial data that vehicle-mounted vidicon 2 is transmitted, and grayscale equalization is sequentially carried out to image/video initial data
Algorithm process, Boundary extracting algorithm processing, contour feature are extracted and Binarization methods processing, are judged between video previous frame and rear frame
The difference of image, and then judge position and the variation tendency of mobile object；Then monocular location algorithm is recycled to estimate out shifting
The distance between animal body and car, while also whether sentencing to the distance between mobile object and car in the range of safety value
It is fixed；
Accordingly, now the vision processing module 10 by the position of the mobile object of gained and variation tendency, motive objects
Whether the result of determination in the range of safety value is transmitted for the distance between the distance between body and car and mobile object and car
To the drive module 11, the drive module 11 controls the loudspeaker 4 to the position of mobile object and variation tendency, movement
The distance between object and car and result of determination progress is corresponding plays, meanwhile, the drive module 11 also controls the display
The distance between the positions of 5 pairs of mobile objects of screen and variation tendency, mobile object and car and result of determination progress is corresponding shows.
In summary, automobile assistant driving vision early warning system of the present invention being capable of complete monitoring, automatic identification friendship
Logical lamp, traffic sign and mobile object, and driver is fed back to by warning lamp, loudspeaker and display screen in time so that drive
Member can grasp condition of road surface in time, substantially increase reaction speed when driver drives, and efficiently reduce because driver dredges
Sometimes the break in traffic rules and regulations phenomenon caused occurs, and improves drive safety, has ensured life and the property peace of driver and pedestrian
Entirely.
Described above is only the preferred embodiment of the present invention, but is not intended to limit the invention, it is noted that for this
For the those of ordinary skill of technical field, without departing from the technical principles of the invention, some improvement can also be made
And modification, these improvement and modification also should be regarded as within the scope of the present invention.
Claims (7)
1. a kind of automobile assistant driving vision early warning system, it is characterised in that：Including master controller (1), vehicle-mounted vidicon (2),
Warning lamp (3), loudspeaker (4) and the display screen (5) of multiple different colours, wherein, it is integrated with the master controller (1)
Vision processing module (10) and drive module (11), the vehicle-mounted vidicon (2) can gather the picture number of condition of road surface in real time
According to, and it is transferred to the vision processing module (10)；The vision processing module (10) is carried out to the view data of condition of road surface
Processing, draws road condition information, while resulting road condition information is also transferred to by the vision processing module (10)
The drive module (11), the drive module (11) controls multiple warning lamps according to road condition information accordingly
(3), the loudspeaker (4) and the display screen (5) work.
2. automobile assistant driving vision early warning system according to claim 1, it is characterised in that：The master controller (1)
From 32 embeded processors；The vehicle-mounted vidicon (2) selects ccd video camera.
3. automobile assistant driving vision early warning system according to claim 1, it is characterised in that：The vision processing module
(10) image processing module based on OpenCV visions storehouse is selected.
4. automobile assistant driving vision early warning system according to claim 1, it is characterised in that：It is additionally provided with power module,
The power module is used to the master controller (1), vehicle-mounted vidicon (2), multiple warning lamps (3), loudspeaker (4) and display
Shield (5) work and electric energy is provided.
5. a kind of method for early warning of the automobile assistant driving vision early warning system any one of utilization claim 1-4, its
It is characterised by：Comprise the following steps：
A), gather the consecutive image video of condition of road surface in real time by the vehicle-mounted vidicon (2), and captured image is regarded
Frequency original data transmissions give the vision processing module (10)；
B), the vision processing module (10) receives the image/video initial data that the vehicle-mounted vidicon (2) is transmitted,
And the image/video initial data is handled, road condition information is drawn, while the vision processing module (10) will also
Resulting road condition information is transferred to the drive module (11)；
C), the drive module (11) receives the road condition information that the vision processing module (10) is transmitted, and phase
The multiple warning lamps (3) of control, the loudspeaker (4) and the display screen (5) work answered.
6. the method for early warning of automobile assistant driving vision early warning system according to claim 5, it is characterised in that：Above-mentioned step
Suddenly b) in, the vision processing module (10) carries out handling main include to traffic lights, traffic mark to image/video initial data
Will and the image/video initial data of mobile object are handled, and specific processing method is：
B1), the image/video initial data to traffic lights is handled：The vision processing module (10) receives described vehicle-mounted
The image/video initial data that video camera (2) is transmitted, knows first with outline identification algorithm from image/video initial data
Do not go out traffic lights information, the CR channel values for meeting traffic lights color are then extracted again, and color two is drawn using calibration algorithm
Tie up histogram；Finally nationality is with the color database of foundation inside the vision processing module (10) again, and comparison draws color value；
B2), the image/video initial data to traffic sign is handled：The vision processing module (10) receives the car
The image/video initial data that video camera (2) is transmitted is carried, and coarse segmentation algorithm is sequentially carried out to image/video initial data
Processing, SHAPE DETECTION algorithm process, feature extraction and the processing of first sorting algorithm, show that the sense in the image/video initial data is emerging
Interesting contour images；Then the standard form containing various traffic signs that nationality is set up with the vision processing module (10) inside again,
The standard form of the traffic sign matched with the contour images interested in the image/video initial data is selected, so as to know
Do not go out the traffic sign type belonging to the contour images interested；
B3), the image/video initial data to mobile object is handled：The vision processing module (10) receives the car
The image/video initial data that video camera (2) is transmitted is carried, and grayscale equalization is sequentially carried out to image/video initial data
Algorithm process, Boundary extracting algorithm processing, contour feature are extracted and Binarization methods processing, are judged between video previous frame and rear frame
The difference of image, and then judge position and the variation tendency of mobile object；Then monocular location algorithm is recycled to estimate out shifting
The distance between animal body and car, while also whether sentencing to the distance between mobile object and car in the range of safety value
It is fixed.
7. the method for early warning of automobile assistant driving vision early warning system according to claim 6, it is characterised in that：Correspond to
Above-mentioned processing b1), the color value of gained is transferred to the drive module (11), the driving by the vision processing module (10)
Corresponding with the color value warning lamp (3) of module (11) control one is bright, at the same the drive module (11) also control described in raise
Sound device (4) and display screen (5) are played out and shown accordingly to the color value respectively；
Corresponding to above-mentioned processing b2), the traffic sign type information of gained is transferred to described by the vision processing module (10)
Drive module (11), the drive module (11) controls the loudspeaker (4) and display screen (5) respectively to the traffic sign type
Information is played out and shown accordingly；
Corresponding to above-mentioned processing b3), the vision processing module (10) is by the position of the mobile object of gained and variation tendency, shifting
Whether result of determination in the range of safety value is equal for the distance between the distance between animal body and car and mobile object and car
The drive module (11) is transferred to, the drive module (11) controls the loudspeaker (4) and display screen (5) respectively to movement
The distance between the position of object and variation tendency, mobile object and car and result of determination is corresponding plays out and show.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710296663.6A CN107025796A (en) | 2017-04-28 | 2017-04-28 | Automobile assistant driving vision early warning system and its method for early warning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710296663.6A CN107025796A (en) | 2017-04-28 | 2017-04-28 | Automobile assistant driving vision early warning system and its method for early warning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107025796A true CN107025796A (en) | 2017-08-08 |
Family
ID=59526574
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710296663.6A Pending CN107025796A (en) | 2017-04-28 | 2017-04-28 | Automobile assistant driving vision early warning system and its method for early warning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107025796A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108009491A (en) * | 2017-11-29 | 2018-05-08 | 深圳火眼智能有限公司 | A kind of object recognition methods solved in fast background movement and system |
| CN109544955A (en) * | 2018-12-26 | 2019-03-29 | 广州小鹏汽车科技有限公司 | A kind of state acquiring method and system of traffic lights |
| CN109859527A (en) * | 2019-01-30 | 2019-06-07 | 杭州鸿泉物联网技术股份有限公司 | A kind of non-motor vehicle turning method for early warning and device |
| CN111332305A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Active early warning type traffic road perception auxiliary driving early warning system |
| CN111332306A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Traffic road perception auxiliary driving early warning device based on machine vision |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040062049A1 (en) * | 2002-09-26 | 2004-04-01 | Yoshihiko Awa | Display device by columnar light |
| CN101872559A (en) * | 2010-06-08 | 2010-10-27 | 广东工业大学 | Vehicle driving simulator-oriented virtual driving active safety early warning system and early warning method |
| CN102542260A (en) * | 2011-12-30 | 2012-07-04 | 中南大学 | Method for recognizing road traffic sign for unmanned vehicle |
| CN102717765A (en) * | 2012-07-09 | 2012-10-10 | 湖南赛格导航技术研究有限公司 | Fatigue driving detection method and anti-fatigue driving auxiliary device |
| CN102765365A (en) * | 2011-05-06 | 2012-11-07 | 香港生产力促进局 | Pedestrian detection method based on machine vision and pedestrian anti-collision warning system based on machine vision |
| CN103489324A (en) * | 2013-09-22 | 2014-01-01 | 北京联合大学 | Real-time dynamic traffic light detection identification method based on unmanned driving |
| CN103786726A (en) * | 2012-11-05 | 2014-05-14 | 财团法人车辆研究测试中心 | Intuitive energy-saving driving assisting method and intuitive energy-saving driving assisting system |
| CN103971126A (en) * | 2014-05-12 | 2014-08-06 | 百度在线网络技术（北京）有限公司 | Method and device for identifying traffic signs |
| CN103971128A (en) * | 2014-05-23 | 2014-08-06 | 北京理工大学 | Traffic sign recognition method for driverless car |
| CN104276082A (en) * | 2013-07-05 | 2015-01-14 | 鸿富锦精密工业（深圳）有限公司 | Vehicle-mounted auxiliary device |
| CN104658277A (en) * | 2013-11-15 | 2015-05-27 | 西安艾力特电子实业有限公司 | Tidal road driving traffic control system |
| CN105809138A (en) * | 2016-03-15 | 2016-07-27 | 武汉大学 | Road warning mark detection and recognition method based on block recognition |
| CN105844257A (en) * | 2016-04-11 | 2016-08-10 | 吉林大学 | Early warning system based on machine vision driving-in-fog road denoter missing and early warning method |
| CN106004438A (en) * | 2016-07-19 | 2016-10-12 | 广汽菲亚特克莱斯勒汽车有限公司 | Linking method and system for vehicle-mounted intelligent traffic light |
| CN106023623A (en) * | 2016-07-28 | 2016-10-12 | 南京理工大学 | Recognition and early warning method of vehicle-borne traffic signal and symbol based on machine vision |
-
2017
- 2017-04-28 CN CN201710296663.6A patent/CN107025796A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040062049A1 (en) * | 2002-09-26 | 2004-04-01 | Yoshihiko Awa | Display device by columnar light |
| CN101872559A (en) * | 2010-06-08 | 2010-10-27 | 广东工业大学 | Vehicle driving simulator-oriented virtual driving active safety early warning system and early warning method |
| CN102765365A (en) * | 2011-05-06 | 2012-11-07 | 香港生产力促进局 | Pedestrian detection method based on machine vision and pedestrian anti-collision warning system based on machine vision |
| CN102542260A (en) * | 2011-12-30 | 2012-07-04 | 中南大学 | Method for recognizing road traffic sign for unmanned vehicle |
| CN102717765A (en) * | 2012-07-09 | 2012-10-10 | 湖南赛格导航技术研究有限公司 | Fatigue driving detection method and anti-fatigue driving auxiliary device |
| CN103786726A (en) * | 2012-11-05 | 2014-05-14 | 财团法人车辆研究测试中心 | Intuitive energy-saving driving assisting method and intuitive energy-saving driving assisting system |
| CN104276082A (en) * | 2013-07-05 | 2015-01-14 | 鸿富锦精密工业（深圳）有限公司 | Vehicle-mounted auxiliary device |
| CN103489324A (en) * | 2013-09-22 | 2014-01-01 | 北京联合大学 | Real-time dynamic traffic light detection identification method based on unmanned driving |
| CN104658277A (en) * | 2013-11-15 | 2015-05-27 | 西安艾力特电子实业有限公司 | Tidal road driving traffic control system |
| CN103971126A (en) * | 2014-05-12 | 2014-08-06 | 百度在线网络技术（北京）有限公司 | Method and device for identifying traffic signs |
| CN103971128A (en) * | 2014-05-23 | 2014-08-06 | 北京理工大学 | Traffic sign recognition method for driverless car |
| CN105809138A (en) * | 2016-03-15 | 2016-07-27 | 武汉大学 | Road warning mark detection and recognition method based on block recognition |
| CN105844257A (en) * | 2016-04-11 | 2016-08-10 | 吉林大学 | Early warning system based on machine vision driving-in-fog road denoter missing and early warning method |
| CN106004438A (en) * | 2016-07-19 | 2016-10-12 | 广汽菲亚特克莱斯勒汽车有限公司 | Linking method and system for vehicle-mounted intelligent traffic light |
| CN106023623A (en) * | 2016-07-28 | 2016-10-12 | 南京理工大学 | Recognition and early warning method of vehicle-borne traffic signal and symbol based on machine vision |
Non-Patent Citations (1)
| Title |
|---|
| 佟卓远: "基于机器视觉的前方车辆检测与测距系统设计", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108009491A (en) * | 2017-11-29 | 2018-05-08 | 深圳火眼智能有限公司 | A kind of object recognition methods solved in fast background movement and system |
| CN111332305A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Active early warning type traffic road perception auxiliary driving early warning system |
| CN111332306A (en) * | 2018-12-18 | 2020-06-26 | 朱向雷 | Traffic road perception auxiliary driving early warning device based on machine vision |
| CN109544955A (en) * | 2018-12-26 | 2019-03-29 | 广州小鹏汽车科技有限公司 | A kind of state acquiring method and system of traffic lights |
| CN109859527A (en) * | 2019-01-30 | 2019-06-07 | 杭州鸿泉物联网技术股份有限公司 | A kind of non-motor vehicle turning method for early warning and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105825696B (en) | Drive assist system based on signal information prompting | |
| CN107025796A (en) | Automobile assistant driving vision early warning system and its method for early warning | |
| CN110069986B (en) | Traffic signal lamp identification method and system based on hybrid model | |
| CN110197589B (en) | Deep learning-based red light violation detection method | |
| CN101783076B (en) | Method for quick vehicle type recognition under video monitoring mode | |
| CN105046196B (en) | Front truck information of vehicles structuring output method based on concatenated convolutional neutral net | |
| CN103824066B (en) | A kind of licence plate recognition method based on video flowing | |
| CN104021378B (en) | Traffic lights real-time identification method based on space time correlation Yu priori | |
| CN109460699B (en) | Driver safety belt wearing identification method based on deep learning | |
| CN103824081B (en) | Method for detecting rapid robustness traffic signs on outdoor bad illumination condition | |
| CN102298693B (en) | Expressway bend detection method based on computer vision | |
| JP4863951B2 (en) | Traffic light recognition device | |
| CN111212772A (en) | Method and device for determining a driving strategy of a vehicle | |
| US20180211121A1 (en) | Detecting Vehicles In Low Light Conditions | |
| CN104408424B (en) | A kind of multi signal lamp recognition methods based on image procossing | |
| CN108805018A (en) | Road signs detection recognition method, electronic equipment, storage medium and system | |
| CN107316486A (en) | Pilotless automobile visual identifying system based on dual camera | |
| CN105023452B (en) | A kind of method and device of multichannel traffic lights signal acquisition | |
| CN102819728A (en) | Traffic sign detection method based on classification template matching | |
| CN107891808A (en) | Driving based reminding method, device and vehicle | |
| CN108764115A (en) | A kind of truck danger based reminding method | |
| CN107886034A (en) | Driving based reminding method, device and vehicle | |
| CN113101155A (en) | Traffic light intersection blind guiding method and blind guiding device based on machine vision | |
| CN109800693B (en) | Night vehicle detection method based on color channel mixing characteristics | |
| CN108621924A (en) | A kind of control system for rear light and its control method with prompt facility |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170808 |
|
| RJ01 | Rejection of invention patent application after publication |