CN110232324A - A kind of automatic recognition system and method for expressway tol lcollection vehicle - Google Patents
A kind of automatic recognition system and method for expressway tol lcollection vehicle Download PDFInfo
- Publication number
- CN110232324A CN110232324A CN201910405712.4A CN201910405712A CN110232324A CN 110232324 A CN110232324 A CN 110232324A CN 201910405712 A CN201910405712 A CN 201910405712A CN 110232324 A CN110232324 A CN 110232324A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- processing system
- model
- module
- big 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
- Image Processing (AREA)
Abstract
The present invention is the automatic recognition system and method for a kind of expressway tol lcollection vehicle, including image capturing system, image processing system, vehicle big data module, core processing system and data outputting module, image capturing system and image processing system are supported as basic data, restore the various features of current vehicle itself, ensure the authenticity of initial data, vehicle big data module is according to the feature construction vehicle 3D model of every class vehicle, reference frame is provided for the accurate parting of vehicle, core processing module is processed that vehicle image is compared with the vehicle 3D model in vehicle big data module by image processing system, judge the vehicle of current vehicle, data outputting module provides data transmission interface, host computer, which is uploaded to, according to field demand custom protocol specifies platform.The present invention can carry out exact classification to vehicle vehicle, and system composed structure is simple, integration degree is high, and not vulnerable to external environmental interference, recognition accuracy is high, and adaptability is good.
Description
Technical field
The invention belongs to transit equipment technical fields, and in particular to a kind of automatic recognition system of expressway tol lcollection vehicle
And method.
Background technique
With the continuous development of science and technology, also there is multifarious variation in highway electromechanical charging systems.From most
The entrance charge station of first hair paper certificate record vehicle, charges according to the Liang Ge charge station shortest distance that car travels.Hair
It opens up the information such as vehicle, the license plate of the current precise path travelled according to car, vehicle accurately to be charged, car entrance
It gets the IC card with relevant informations such as vehicle, license plate, access stations or directly highway is entered by the lane ETC, then going out
Toll collector reads the relevant information in card and then accurately calculates vehicle according to information systems such as vehicle, the license plates of car when mouth
Passage expense.In the continuous evolution process of whole system, system acquisition to the information of vehicle itself also constantly improve,
Also in the continuous improvement to the technical requirements of the automatic identification equipments such as vehicle, license plate.
Automatic vehicle cab recognition equipment just had application case in self-service card issuing system before and after 2010, was mainly used to certainly
Dynamic card sending system provides model data.Through precipitating in a few years, currently on the market vehicle cab recognition equipment be broadly divided into
Under several classes: a. based on echelette to penetrate scanning technique acquisition vehicle's contour realize vehicle rough classification, such system construction
Difficulty is big and is easily affected by the external environment；B. realize that the rough classification of vehicle, installation site are wanted based on video image splicing
It asks high high to site environment requirement and is easily affected by the external environment；C. vehicle is realized based on infrared scan combination axle identification technology
Classification, difficulty of construction is big, and installation site is forward, that is, the standard of vehicle cab recognition cannot be guaranteed well by needing to destroy pavement construction again
True rate；D. the automatic parting direction technology of several vehicles such as vehicle classification is realized based on laser scanner technique, cost is high, to scene
Environmental requirement is harsh, can only substantially distinguish type of vehicle according to the appearance profile of vehicle.
Although the market achievement that some technologies have been got in the application, solves some correlations about vehicle parting and ask
Topic, but the requirement with the continuous upgrading of system to vehicle parting accuracy rate is continuously increased, the prior art is no longer satisfied
Normal use demand.
Summary of the invention
The object of the present invention is to overcome the problems of the prior art, provides a kind of the automatic of expressway tol lcollection vehicle
Identifying system and method.
To realize above-mentioned technical purpose and the technique effect, the invention is realized by the following technical scheme:
A kind of automatic recognition system of expressway tol lcollection vehicle, the system include image capturing system, image processing system, vehicle
Type big data module, core processing system and data outputting module, wherein
Described image acquisition system connects at image for acquiring the vehicle pictures currently passed through, the output end of image capturing system
The input terminal of reason system, for vehicle pictures to be transmitted in image processing system；
Described image processing system marks the characteristic point of vehicle according to vehicle pictures, and the output end of image processing system connects core
The input terminal of heart processing system, for will treated image transmitting to core processing system；
The input terminal of the core processing system is also connected with vehicle big data module, is equipped in the vehicle big data module preparatory
According to the vehicle 3D model of the feature construction of every class vehicle, core processing module is used for the characteristic point of current vehicle and vehicle is big
Vehicle 3D model in data module is compared, and judges the vehicle of current vehicle, the output end connection of core processing system
The input terminal of data outputting module, for the model data of the current vehicle identified to be uploaded to by data outputting module
Corresponding host computer specifies platform.
Further, the characteristic point of the vehicle includes that axle situation, license plate color, logo and correspondence are associated
Mark.
Further, the vehicle big data module according to Ministry of Communications's classification standard of every class vehicle feature construction vehicle
3D model.
Further, described image acquisition system is made of high-definition camera equipment and its auxiliary light filling equipment, when vehicle arrives
When in up to image acquisition region, high-definition camera equipment is triggered by ground induction coil device and auxiliary light filling equipment captures a Zhang Dangqian
Vehicle pictures, high-definition camera equipment and assist light filling equipment setting angle with can see clearly in vehicle pictures entire front part of vehicle and
The case where side wheel shaft, is advisable.
Further, described image processing system is directly embedded in high-definition camera equipment, is used for from high-definition camera equipment
The characteristic point of current vehicle itself is found out in the picture captured.
Further, the characteristic point for the current vehicle that the core processing system is analyzed according to image processing system is to current
Vehicle carries out feature modeling, is then compared again with existing vehicle 3D model in vehicle big data module.
Further, the core processing system to current vehicle carry out feature modeling be according to the logo of current vehicle,
License plate color, axle situation virtually construct auto model.
Further, the vehicle big data module is divided according to the field vehicle picture and combination Ministry of Communications's vehicle of magnanimity
The standard of type constructs the different auto model of corresponding all kinds of vehicles, and special according to different seating capacity surface of vehicle and interior layout
Sign building vehicle 3D model.
A kind of automatic identification and method of expressway tol lcollection vehicle, method includes the following steps:
Step 1) image capturing system acquires the vehicle pictures currently passed through, and vehicle pictures are then transmitted to image procossing system
System；
Step 2 image processing system marks the characteristic point of current vehicle according to vehicle pictures, and then by treated, image is passed
Transport to core processing system；
Step 3) core processing system is carried out according to the vehicle 3D model in the characteristic point and vehicle big data module of current vehicle
It compares, and judges the vehicle of current vehicle according to the corresponding vehicle of vehicle 3D model；
The model data of identified current vehicle is uploaded to upper by step 4) core processing system by data outputting module
Machine specifies platform.
The beneficial effects of the present invention are:
Present invention employs image processing means, 3D modeling technology and big data comparison means precisely to be divided vehicle vehicle
Class, whole system composed structure is simple, integration degree is high, using pure industrial technology not vulnerable to external environmental interference, from basic
On solve the problems, such as that the vehicle cab recognition accuracy rate as caused by vehicle queue mistake is relatively low, this system and method can fit well
Answer accurately identifying for vehicle vehicle under various environment.
Detailed description of the invention
Fig. 1 is structure composition block diagram of the invention；
Fig. 2 is in-site installation composition schematic diagram of the invention.
Figure label explanation: B1, vehicle big data module, L1, image capturing system, M1, core processing system, O1, number
According to output module, P1, image processing system.
Specific embodiment
It is below with reference to the accompanying drawings and in conjunction with the embodiments, next that the present invention will be described in detail.
As depicted in figs. 1 and 2, a kind of automatic recognition system of expressway tol lcollection vehicle, which includes Image Acquisition
System L1, image processing system P1, vehicle big data module B1, core processing system M1 and data outputting module O1, wherein
Described image acquisition system L1 is for acquiring the vehicle pictures currently passed through, the output end connection figure of image capturing system L1
As the input terminal of processing system P1, for vehicle pictures to be transmitted in image processing system P1；
Described image processing system P1 marks the characteristic point of vehicle according to vehicle pictures, specifically can be in image processing system P1
The program editted in advance is installed, the input terminal of the output end connection core processing system M1 of image processing system P1, being used for will
Treated image transmitting is to core processing system M1；
The input terminal of the core processing system M1 is also connected with vehicle big data module B1, sets in the vehicle big data module B1
There is the vehicle 3D model previously according to the feature construction of every class vehicle, core processing module M1 is used for the characteristic point of current vehicle
It is compared with the vehicle 3D model in vehicle big data module B1, judges the vehicle of current vehicle, core processing system M1
Output end connection data outputting module O1 input terminal, data outputting module O1 is made of data transmission interface abundant, uses
Platform is specified in the model data of the current vehicle identified is uploaded to corresponding host computer by data outputting module O1,
In the present embodiment, it is charging system that host computer, which specifies platform,.
The characteristic point of the vehicle includes axle situation, license plate color, logo and corresponding associated mark.
The vehicle big data module B1 according to Ministry of Communications's classification standard of every class vehicle feature construction vehicle 3D model.
Described image acquisition system L1 is made of high-definition camera equipment and its auxiliary light filling equipment, is adopted when vehicle reaches image
When collecting in region, high-definition camera equipment is triggered by ground induction coil device and auxiliary light filling equipment captures a current vehicle figure
The setting angle of piece, high-definition camera equipment and auxiliary light filling equipment is can see entire front part of vehicle and side wheel clearly in vehicle pictures
The case where axis, is advisable, and in actual field installation, portal frame, column installation or metope can be used and bind mode, in the present embodiment
In, it is installed using column, when equipment in image capturing system (L1) carries out installation and debugging, equipment angle is adjusted to and vehicle
45 ° of direction to the car or so of angle, the vehicle pictures that mounting height ensures to capture at 2 meters or so can see entire vehicle clearly
The case where front and side wheel shaft etc..
Described image processing system P1 is directly embedded in high-definition camera equipment, be actually embedded in be it is a set of, for from
The characteristic point that current vehicle itself is found out in the picture that high-definition camera equipment is captured, such as logo, axle situation, license plate color
Etc. some vehicles itself characteristic point.
The core processing system M1 is according to the characteristic point of the image processing system P1 current vehicle analyzed to current vehicle
Feature modeling is carried out, is then compared again with existing vehicle 3D model in vehicle big data module B1.
The core processing system M1 is to the logo that current vehicle progress feature modeling is according to current vehicle, license plate face
Color, axle situation virtually construct auto model, which can restore the relevant information of whole vehicle according to current vehicle picture feature,
The accuracy of later period output result is effectively ensured.
The vehicle big data module B1 is according to the field vehicle picture of magnanimity and the standard of combination Ministry of Communications's vehicle parting
Construct the different auto model of corresponding all kinds of vehicles (car 1-4 class, lorry 1-5), emphasis construct motor bus, multiaxis lorry with
And the model of the special vehicles such as container car, and according to different seating capacity surface of vehicle and interior layout feature construction vehicle 3D mould
Type.
A kind of automatic identification and method of expressway tol lcollection vehicle, method includes the following steps:
Step 1) image capturing system L1 acquires the vehicle pictures currently passed through, and vehicle pictures are then transmitted to image procossing system
Unite P1；
Step 2 image processing system P1 marks the characteristic point of current vehicle according to vehicle pictures, then will treated image
It is transmitted to core processing system M1；
Step 3) core processing system M1 is according to the vehicle 3D model in the characteristic point and vehicle big data module B1 of current vehicle
It is compared, and judges the vehicle of current vehicle according to the corresponding vehicle of vehicle 3D model；
The model data of identified current vehicle is uploaded to by step 4) core processing system M1 by data outputting module O1
Host computer specifies platform.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of automatic recognition system of expressway tol lcollection vehicle, which is characterized in that the system includes image capturing system
(L1), image processing system (P1), vehicle big data module (B1), core processing system (M1) and data outputting module (O1),
Wherein,
Described image acquisition system (L1) connects for acquiring the vehicle pictures currently passed through, the output end of image capturing system (L1)
The input terminal for meeting image processing system (P1), for vehicle pictures to be transmitted in image processing system (P1)；
Described image processing system (P1) marks the characteristic point of vehicle, the output of image processing system (P1) according to vehicle pictures
The input terminal of end connection core processing system (M1), for will treated image transmitting to core processing system (M1)；
The input terminal of the core processing system (M1) is also connected with vehicle big data module (B1), the vehicle big data module
(B1) the vehicle 3D model of the feature construction previously according to every class vehicle is equipped in, core processing module (M1) will be for that will work as front truck
Characteristic point be compared with the vehicle 3D model in vehicle big data module (B1), judge the vehicle of current vehicle, core
The input terminal of output end connection data outputting module (O1) of heart processing system (M1), for by the current vehicle identified
Model data is uploaded to corresponding host computer by data outputting module (O1) and specifies platform.
2. the automatic recognition system of expressway tol lcollection vehicle according to claim 1, which is characterized in that the vehicle
Characteristic point includes axle situation, license plate color, logo and corresponding associated mark.
3. the automatic recognition system of expressway tol lcollection vehicle according to claim 1, which is characterized in that the vehicle is big
Data module (B1) according to Ministry of Communications's classification standard of every class vehicle feature construction vehicle 3D model.
4. the automatic recognition system of expressway tol lcollection vehicle according to claim 1, which is characterized in that described image is adopted
Collecting system (L1) is made of high-definition camera equipment and its auxiliary light filling equipment, when vehicle reaches in image acquisition region, is passed through
Ground induction coil device trigger high-definition camera equipment and auxiliary light filling equipment capture a current vehicle picture, high-definition camera equipment and
Assist the setting angle of light filling equipment to be advisable the case where capable of seeing entire front part of vehicle and side wheel shaft in vehicle pictures clearly.
5. the automatic recognition system of expressway tol lcollection vehicle according to claim 1, which is characterized in that at described image
Reason system (P1) is directly embedded in high-definition camera equipment, current for finding out from the picture that high-definition camera equipment is captured
The characteristic point of vehicle itself.
6. the automatic recognition system of expressway tol lcollection vehicle according to claim 1, which is characterized in that at the core
The characteristic point for the current vehicle that reason system (M1) is analyzed according to image processing system (P1) carries out feature modeling to current vehicle, so
It is compared again with existing vehicle 3D model in vehicle big data module (B1) afterwards.
7. the automatic recognition system and method for expressway tol lcollection vehicle according to claim 6, which is characterized in that described
It is according to the logo of current vehicle, license plate color, axle situation that core processing system (M1), which carries out feature modeling to current vehicle,
Virtual building auto model.
8. the automatic recognition system and method for expressway tol lcollection vehicle according to claim 1, which is characterized in that described
Vehicle big data module (B1) constructs correspondence according to the field vehicle picture of magnanimity and the standard of combination Ministry of Communications's vehicle parting
The different auto model of all kinds of vehicles, and according to different seating capacity surface of vehicle and interior layout feature construction vehicle 3D model.
9. a kind of automatic identification and method of expressway tol lcollection vehicle, which is characterized in that method includes the following steps:
Step 1) image capturing system (L1) acquires the vehicle pictures currently passed through, and vehicle pictures are then transmitted to image procossing
System (P1)；
Step 2 image processing system (P1) marks the characteristic point of current vehicle according to vehicle pictures, then will treated figure
As being transmitted to core processing system (M1)；
Step 3) core processing system (M1) is according to the vehicle 3D in the characteristic point and vehicle big data module (B1) of current vehicle
Model is compared, and the vehicle of current vehicle is judged according to the corresponding vehicle of vehicle 3D model；
Step 4) core processing system (M1) will be on the model data of identified current vehicle by data outputting module (O1)
It reaches host computer and specifies platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910405712.4A CN110232324A (en) | 2019-05-16 | 2019-05-16 | A kind of automatic recognition system and method for expressway tol lcollection vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910405712.4A CN110232324A (en) | 2019-05-16 | 2019-05-16 | A kind of automatic recognition system and method for expressway tol lcollection vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110232324A true CN110232324A (en) | 2019-09-13 |
Family
ID=67860657
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910405712.4A Pending CN110232324A (en) | 2019-05-16 | 2019-05-16 | A kind of automatic recognition system and method for expressway tol lcollection vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110232324A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111179452A (en) * | 2019-12-28 | 2020-05-19 | 神思电子技术股份有限公司 | ETC channel-based bus fee deduction system and method |
| CN111292432A (en) * | 2020-01-14 | 2020-06-16 | 北京巨视科技有限公司 | Vehicle charging type distinguishing method and device based on vehicle type recognition and wheel axle detection |
| CN111311771A (en) * | 2020-03-18 | 2020-06-19 | 陈关印 | Urban vehicle integrated management system |
| CN111368651A (en) * | 2020-02-18 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Vehicle identification method and device and electronic equipment |
| CN111783638A (en) * | 2020-06-30 | 2020-10-16 | 山东鼎高信息技术有限公司 | System and method for detecting number of vehicle axles and identifying vehicle type |
| CN115050108A (en) * | 2022-04-13 | 2022-09-13 | 江苏沃银数据服务有限公司 | High-speed non-inductive passing method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| EP2955078A1 (en) * | 2014-06-09 | 2015-12-16 | Nira Dynamics AB | Tire classfication |
| CN105427614A (en) * | 2015-08-28 | 2016-03-23 | 北京动视元科技有限公司 | Model classification system and method |
| CN106446834A (en) * | 2016-09-27 | 2017-02-22 | 东软集团股份有限公司 | Vehicle type identification method and vehicle type identification device based on images |
-
2019
- 2019-05-16 CN CN201910405712.4A patent/CN110232324A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| EP2955078A1 (en) * | 2014-06-09 | 2015-12-16 | Nira Dynamics AB | Tire classfication |
| CN105427614A (en) * | 2015-08-28 | 2016-03-23 | 北京动视元科技有限公司 | Model classification system and method |
| CN106446834A (en) * | 2016-09-27 | 2017-02-22 | 东软集团股份有限公司 | Vehicle type identification method and vehicle type identification device based on images |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111179452A (en) * | 2019-12-28 | 2020-05-19 | 神思电子技术股份有限公司 | ETC channel-based bus fee deduction system and method |
| CN111292432A (en) * | 2020-01-14 | 2020-06-16 | 北京巨视科技有限公司 | Vehicle charging type distinguishing method and device based on vehicle type recognition and wheel axle detection |
| CN111368651A (en) * | 2020-02-18 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Vehicle identification method and device and electronic equipment |
| CN111368651B (en) * | 2020-02-18 | 2024-03-08 | 杭州海康威视系统技术有限公司 | Vehicle identification method and device and electronic equipment |
| CN111311771A (en) * | 2020-03-18 | 2020-06-19 | 陈关印 | Urban vehicle integrated management system |
| CN111783638A (en) * | 2020-06-30 | 2020-10-16 | 山东鼎高信息技术有限公司 | System and method for detecting number of vehicle axles and identifying vehicle type |
| CN111783638B (en) * | 2020-06-30 | 2023-09-01 | 山东鼎高信息技术有限公司 | System and method for detecting number of wheel axles of vehicle and identifying vehicle type |
| CN115050108A (en) * | 2022-04-13 | 2022-09-13 | 江苏沃银数据服务有限公司 | High-speed non-inductive passing method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110232324A (en) | A kind of automatic recognition system and method for expressway tol lcollection vehicle | |
| CN105761319B (en) | A kind of ETC tracks anti-cheating method and system | |
| AU718915B2 (en) | Method and device for registering the outer characteristics of a vehicle in a road toll unit | |
| CN1199137C (en) | Gate apparatus, vehicle-mounted unit, method for configuration of vehicle-mounted units, charge method and come-into and travel-out decision method | |
| CN206282430U (en) | A kind of road administration traffic police overrun and overload combines non-at-scene enforcement system | |
| CN109871728B (en) | Vehicle type recognition method and device | |
| CN104574540A (en) | Electronic toll collection system and method | |
| CN202071799U (en) | Intelligent automobile safety warning device | |
| CN105825185A (en) | Early warning method and device against collision of vehicles | |
| CN101016052A (en) | Warning method and system for preventing deviation for vehicle on high standard highway | |
| CN103942852A (en) | Travelling recording method and system based on mobile phone terminal | |
| KR20140027661A (en) | Ticketless toll gate system using plural camera | |
| KR102093237B1 (en) | Vehicle classification system using non-contact automatic vehicle detectior | |
| KR102240266B1 (en) | Apparatus, system and method for classifying vehicles using image analysis | |
| CN112435358A (en) | Highway accessible charging system based on 5G car networking technology | |
| CN109544710A (en) | A kind of intelligent road side cellular system | |
| CN114495299A (en) | Vehicle parking automatic payment method, system and readable storage medium | |
| CN111311942A (en) | Road condition display method and system based on V2X technology, V2X terminal and V2X server | |
| CN112183206A (en) | Traffic participant positioning method and system based on roadside monocular camera | |
| CN113593246B (en) | Method for identifying and binding license plate and parking space of vehicle | |
| CN104866858A (en) | Vehicle model characteristic analysis method | |
| CN114463626A (en) | Vehicle axle identification method, system, electronic device and storage medium | |
| CN103778790A (en) | Traffic flow square-wave statistical method based on video sequence | |
| KR100382460B1 (en) | A fare collection a means | |
| CN108805994B (en) | Timing parking system and method |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190913 |
|
| WD01 | Invention patent application deemed withdrawn after publication |