CN107086980A - Big data distribution platform based on internet - Google Patents
Big data distribution platform based on internet Download PDFInfo
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- CN107086980A CN107086980A CN201710042902.5A CN201710042902A CN107086980A CN 107086980 A CN107086980 A CN 107086980A CN 201710042902 A CN201710042902 A CN 201710042902A CN 107086980 A CN107086980 A CN 107086980A
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- 238000012546 transfer Methods 0.000 claims abstract description 25
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- 238000001514 detection method Methods 0.000 description 17
- 238000007726 management method Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 11
- 230000009466 transformation Effects 0.000 description 10
- 230000002708 enhancing effect Effects 0.000 description 8
- 238000012937 correction Methods 0.000 description 6
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- 238000006243 chemical reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
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- 239000004973 liquid crystal related substance Substances 0.000 description 2
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- 206010039203 Road traffic accident Diseases 0.000 description 1
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/006—Mixed reality
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- G06T5/80—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- 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
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- Engineering & Computer Science (AREA)
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- Computer Networks & Wireless Communication (AREA)
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- Computer Graphics (AREA)
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- General Engineering & Computer Science (AREA)
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Abstract
The present invention relates to a kind of big data distribution platform based on internet, including：Management and running platform, for sending mission bit stream to Distributor and reception client；Distributor, is connected with the management and running platform, for receiving the mission bit stream that the management and running platform is sent, storage and transmission data；Transfer platform, is connected with the Distributor, for the data cached and Distributor described in transfer is sent；Client is received, is connected with the transfer platform, for receiving the mission bit stream of the management and running platform transmission and the data of the transfer platform transfer.
Description
Technical field
The present invention relates to internet arena, more particularly to a kind of big data distribution platform based on internet.
Background technology
With the development of technology, the accumulation of big data is more and more a large amount of, therefore the requirement to its disposal ability is also increasingly
It is high.Received, transmitted and processing has become popular tendency using network at present.However, the improvement for technology is thrown away continuous
In research.
The content of the invention
In order to solve the above problems, the invention provides the big data distribution platform based on internet, including：Management and running
Platform, for sending mission bit stream to Distributor and reception client；Distributor, connects with the management and running platform
Connect, for receiving the mission bit stream that the management and running platform is sent, storage and transmission data；Transfer platform, with the distribution
Server is connected, for the data cached and Distributor described in transfer is sent；Client is received, is connected with the transfer platform
Connect, for receiving the mission bit stream of the management and running platform transmission and the data of the transfer platform transfer.
The present invention realizes that distribution server end, to the delivery acceleration of client, overcomes conventional transmission to assist by privately owned host-host protocol
View realizes the network performance limitation bottleneck problem of super large file transmission especially more than 200GB files, realizes that task timing is issued
And intelligently pushing, the unified data distribution of composition and management and running platform.
Embodiment
The invention provides the big data distribution platform based on internet, it is characterised in that including：Management and running platform,
For sending mission bit stream to Distributor and reception client；Distributor, is connected with the management and running platform, uses
In receiving the mission bit stream that the management and running platform is sent, data are stored and sent；Transfer platform, with the Distributor
Connection, for the data cached and Distributor described in transfer is sent；Client is received, is connected with the transfer platform, is used
In the mission bit stream and the data of the transfer platform transfer that receive the management and running platform transmission.
In such as production of film and TV field, often shoot place all out of doors, and generally beautiful scenery place often
It is very remote, various communication equipments and imperfection.And often form is huge for video files, simple transmission equipment can not meet need
Ask.Because it is considered as desirable by the inventor to by the big data distribution platform based on internet, so that it is above-mentioned to overcome to greatly enhance mobility
Shortcoming.Also, vehicular communication equipment carries a large amount of electronic equipments, therefore its driving safety is also required to greatly enhance.The present invention
People considers a kind of autobrake system detected based on amber light of introducing, introduces the electron assistant function of convenient driving, perfect
The application function of motor vehicle, it is particularly critical, equipment is built to motor vehicle surrounding environment progress void by introducing three-dimensional environment
Planization is built, and emphasis adds detection and judgement to adjacent car distance, and is that automobile driver is shown by display device
Show or play back, also by introducing emergency reaction equipment to carry out urgent danger prevention in adjacent car fast approaching, it is to avoid traffic accident
Occur.
Based on this, the present invention provide the big data distribution platform based on internet, its be located on vehicle and including：Scheduling
Management platform, for sending mission bit stream to Distributor and reception client；Distributor is flat with the management and running
Platform is connected, for receiving the mission bit stream that the management and running platform is sent, storage and transmission data；Transfer platform, it is and described
Distributor is connected, for the data cached and Distributor described in transfer is sent；Client is received, it is flat with the transfer
Platform is connected, for receiving the mission bit stream of the management and running platform transmission and the data of the transfer platform transfer.
In a first aspect, the vehicle includes a kind of autobrake system detected based on amber light, the system includes stopping
Hull, amber light detection device, in-vehicle navigation apparatus and running control apparatus, amber light detection device are used for based on crossroads traffic light
State, which determines whether to send, has steady yellow, and in-vehicle navigation apparatus is used to determine whether to send close to crossing based on navigation data
Signal, running control apparatus is connected with amber light detection device, in-vehicle navigation apparatus and brake disc respectively, for receiving in the presence of yellow
Modulating signal and when receiving close to crossing signals, control brake disc carries out emergency brake to bus.
In second aspect, amber light detection device is arranged on bus body structure, for the traffic lights in front of bus
Image data acquiring is carried out to obtain signal lamp image, and amber light target detection is carried out to signal lamp image, amber light is being detected
During target, send and there is steady yellow, when being not detected by amber light target, send in the absence of steady yellow.
In the third aspect, in-vehicle navigation apparatus is arranged in the instrument board of bus, for detecting bus body structure distance
The real-time range of junction ahead dead line, and when real-time range is less than or equal to pre-determined distance threshold value, send close to crossing signals,
When real-time range is more than pre-determined distance threshold value, sends and do not arrive crossing signals.
In fourth aspect, running control apparatus is connected with amber light detection device, in-vehicle navigation apparatus and brake disc respectively, is used
In when reception has steady yellow and receives close to crossing signals, control brake disc carries out emergency brake, and root to bus
The braking strength of brake disc is determined according to real-time range.
At the 5th aspect, the autobrake system detected based on amber light is included：
Amber light detection device, is arranged on bus body structure, for carrying out picture number to the traffic lights in front of bus
According to collection to obtain signal lamp image, and amber light target detection is carried out to signal lamp image, when detecting amber light target, sent
There is steady yellow, when being not detected by amber light target, send in the absence of steady yellow；
In-vehicle navigation apparatus, is arranged in the instrument board of bus, for detecting that bus body structure is cut apart from junction ahead
The only real-time range of line, and when real-time range is less than or equal to pre-determined distance threshold value, sending close to crossing signals, in real-time range
During more than pre-determined distance threshold value, send and do not arrive crossing signals；
Running control apparatus, is connected with amber light detection device, in-vehicle navigation apparatus and brake disc respectively, for being deposited in reception
In steady yellow and when receiving close to crossing signals, control brake disc carries out emergency brake to bus, and according to real-time range
Determine the braking strength of brake disc；
Multiple picture pick-up devices, are separately positioned on the diverse location of bus vehicle body, and each picture pick-up device includes CCD sensings and set
Standby, gamma correction processing equipment, Gaussian smoothing equipment, medium filtering equipment, image enhancement processing, distortion type detection device,
Distort processing equipment, with reference to point selection equipment, distortion coordinate mapped device, distortion grey scale mapping equipment, target identification equipment and
Coordinates of targets extraction equipment；
Camera calibration marking device, is connected with each picture pick-up device, for obtain each picture pick-up device intrinsic parameter and
The outer parameter of each picture pick-up device, the intrinsic parameter of each picture pick-up device includes focal length, the CCD sensing equipment chis of picture pick-up device
Very little, the pick-up lens distortion factor, the outer parameter of each picture pick-up device include picture pick-up device be in the particular location of bus vehicle body with
And the shooting direction of picture pick-up device；
Coordinate mapped device, is connected with camera calibration marking device, for receiving the intrinsic parameter of each picture pick-up device and every
The outer parameter of one picture pick-up device, and the outer parameter determination of the intrinsic parameter based on each picture pick-up device and each picture pick-up device
Mapping relations in the image space of each picture pick-up device between pixel point coordinates and three-dimensional world coordinate；
Three-dimensional coordinate is fitted equipment, is connected for the coordinates of targets extraction equipment respectively with multiple picture pick-up devices, for connecing
Multiple plane coordinates parameters are received, are also connected with camera calibration marking device, picture in the image space for receiving multiple picture pick-up devices
The mapping relations of vegetarian refreshments coordinate respectively between three-dimensional world coordinate, three-dimensional coordinate fitting equipment is based on above-mentioned multiple plane coordinates
Parameter and the corresponding mapping relations of above-mentioned multiple picture pick-up devices are fitted close to vehicle target in three-dimensional world coordinate system
Three-dimensional coordinate is simultaneously exported as objective coordinate；
Environment rebuilt equipment, is connected with each picture pick-up device, for receiving respectively from the multiple of multiple picture pick-up devices
Geometric calibration image, based on multiple geometric calibration images to carrying out environment rebuilt around bus vehicle body, to obtain and export bus
Virtual scene around vehicle body；
Scene fusion device, is connected with environment rebuilt equipment and three-dimensional coordinate fitting equipment, for based on three-dimensional mesh respectively
The movement position that mark coordinate will be close to vehicle target is fused in virtual scene to obtain and export fused images frame；
Display device is reviewed, is connected to receive and play back fused images frame with scene fusion device, reviews display device bag
Include liquid crystal display, display driver and display caching.
At the 6th aspect, wherein, in each picture pick-up device, gamma correction processing equipment is connected with CCD sensing equipments,
High-definition image for receiving the collection of CCD sensing equipments, and gamma correction processing is carried out to high-definition image with output calibration image；
CCD sensing equipments are used to carrying out high-definition data collection around bus vehicle body export high-definition image；Gaussian smoothing equipment and gal
Horse correction processing apparatus is connected, and carries out Gaussian smoothing to obtain smooth figure for receiving correction chart picture, and to correction chart picture
Picture；Medium filtering equipment is connected with Gaussian smoothing equipment, for being carried out to smoothed image in the picture element module size of 5 pixels × 5
Value filtering handles to obtain filtering image；Image enhancement processing is connected with medium filtering equipment, for scheming to filtering image
Image intensifying handles to obtain enhancing image；
Wherein, in each picture pick-up device, distortion type detection device is connected with image enhancement processing, is increased for receiving
Strong image, it is determined that the appearance and size of enhancing image, appearance and size and the appearance and size of reference image based on enhancing image
It is determined that the distortion type of enhancing image, distortion type distorts including hermitian transformation, distorts distortion, radial distortion distortion, imitates
Conversion distortion, the distortion of class affine transformation and projective transformation distortion are penetrated, reference image is to be responsible for picture pick-up device region progress
The distortionless high-definition image that advance high-definition data collection is exported；
Wherein, in each picture pick-up device, distortion processing equipment is connected with distortion type detection device, when what is received
Distortion type is hermitian transformation distortion, distortion distortion, radial distortion distortion, affine transformation distortion or the distortion of class affine transformation
When, different predetermined geometric transformations are carried out to enhancing image based on different distortion types and handled, to export geometric calibration image；
Be connected with reference to point selection equipment with distortion type detection device, for the distortion type received be projective transformation distort when,
6 positions around bus vehicle body are selected as calibration reference point；Coordinate mapped device distort respectively with referring to point selection equipment
With the connection of distortion type detection device, the coordinate for determining 6 positions in enhancing image determines in reference image 6
The coordinate of 6 positions determines geometry in the coordinate of position, coordinate and reference image based on 6 positions in enhancing image
Transformation matrix of coordinates, and carry out geometric coordinate conversion to all pixels point for strengthening image to obtain based on geometric coordinate transformation matrix
Corresponding multiple new pixels are obtained, the horizontal coordinate and vertical coordinate for strengthening all pixels point of image are all integer, and new picture
The horizontal coordinate or vertical coordinate of vegetarian refreshments, which differ, is set to integer；Distortion grey scale mapping equipment is connected with distortion coordinate mapped device,
For receiving multiple new pixels, when the horizontal coordinate and vertical coordinate of new pixel are all integer, the gray scale of new pixel
It is worth to strengthen the gray value of the pixel of same coordinate position in image, when the horizontal coordinate or vertical coordinate of new pixel are non-
During integer, the gray value based on multiple pixels around same coordinate position in enhancing image calculates the gray scale of new pixel
Value, the gray value output geometric calibration image based on multiple new pixels；
Wherein, in each picture pick-up device, target identification equipment respectively with distortion processing equipment and distort grey scale mapping
Equipment is connected, and is leaned on for receiving geometric calibration image, and being identified based on preset reference vehicle pattern in geometric calibration image
Nearly vehicle target；Coordinates of targets extraction equipment is connected with target identification equipment, for being existed based on the close vehicle target identified
Relative position in whole geometric calibration image, it is determined that close to the plane coordinates parameter of vehicle target.
At the 7th aspect,
Spring equipment, is arranged on around the vehicle body of bus, is non-Eject mode under default conditions；
Spring control device, is arranged in the instrument board of bus, is connected respectively with spring equipment and spacing detection device, uses
In reception target range, and when target range is less than or equal to default spacing, eject spring equipment to protect bus vehicle body
Shield；
Spacing detection device, is arranged in the instrument board of bus, is connected with scene fusion device, for receiving fused images
Frame, in fused images frame, bus position determines to lean in movement position and virtual scene based on close vehicle target
Nearly vehicle target apart from bus real-time range to be exported as target range；
Wherein, display driver is also connected with spring control device, for spring control device eject spring equipment with
When being protected to bus vehicle body, target range is pushed in display caching in order to which liquid crystal display is accordingly shown；
Wherein, running control apparatus determines that the braking strength of brake disc is specifically included according to real-time range：Real-time range is got over
It is small, determine that the braking strength of brake disc is bigger, real-time range is bigger, determine that the braking strength of brake disc is smaller；
Wherein, running control apparatus determines that the braking strength of brake disc is specifically included according to real-time range：Brake disc is stopped
Car dynamics has upper limit dynamics threshold value, determines that the braking strength of brake disc is no more than above-mentioned upper limit dynamics threshold value.
In eighth aspect, spring equipment is soft spring.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
Claims (1)
1. the big data distribution platform based on internet, it is characterised in that including：Management and running platform, for being serviced to distribution
Device and reception client send mission bit stream；Distributor, is connected with the management and running platform, for receiving the scheduling
The mission bit stream that management platform is sent, storage and transmission data；Transfer platform, is connected with the Distributor, for caching
The data sent with Distributor described in transfer；Client is received, is connected with the transfer platform, for receiving the scheduling
Mission bit stream and the data of the transfer platform transfer that management platform is sent.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710988758.4A CN107729849B (en) | 2017-01-20 | 2017-01-20 | The bus of big data distribution platform based on internet is set |
| CN201710042902.5A CN107086980B (en) | 2017-01-20 | 2017-01-20 | The vehicle of big data distribution platform based on internet is set |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710042902.5A CN107086980B (en) | 2017-01-20 | 2017-01-20 | The vehicle of big data distribution platform based on internet is set |
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| CN201710988758.4A Division CN107729849B (en) | 2017-01-20 | 2017-01-20 | The bus of big data distribution platform based on internet is set |
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| Publication Number | Publication Date |
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| CN107086980A true CN107086980A (en) | 2017-08-22 |
| CN107086980B CN107086980B (en) | 2018-01-12 |
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| CN201710042902.5A Active CN107086980B (en) | 2017-01-20 | 2017-01-20 | The vehicle of big data distribution platform based on internet is set |
| CN201710988758.4A Active CN107729849B (en) | 2017-01-20 | 2017-01-20 | The bus of big data distribution platform based on internet is set |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108920970A (en) * | 2018-07-02 | 2018-11-30 | 北京天华星航科技有限公司 | Data managing method, system and electronic equipment |
| CN109660613A (en) * | 2018-12-11 | 2019-04-19 | 网宿科技股份有限公司 | Document transmission method and system |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110598563A (en) * | 2019-08-15 | 2019-12-20 | 北京致行慕远科技有限公司 | Method and device for processing travelling of movable equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102163331A (en) * | 2010-02-12 | 2011-08-24 | 王炳立 | Image-assisting system using calibration method |
| CN103253247A (en) * | 2012-12-28 | 2013-08-21 | 湖南吉利汽车部件有限公司 | Method and system for automatically controlling automobile to not run red light |
| CN105023448A (en) * | 2015-07-09 | 2015-11-04 | 北京汽车研究总院有限公司 | Crossroad driving reminding method and device and vehicle |
| CN105763854A (en) * | 2016-04-18 | 2016-07-13 | 扬州航盛科技有限公司 | Omnidirectional imaging system based on monocular camera, and imaging method thereof |
| CN106331184A (en) * | 2016-12-01 | 2017-01-11 | 网宿科技股份有限公司 | Big data distribution method and distribution platform based on internet |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19952153A1 (en) * | 1999-10-29 | 2001-05-03 | Volkswagen Ag | Method and device for the electronic recognition of traffic signs |
| KR101585695B1 (en) * | 2009-12-09 | 2016-01-14 | 현대모비스 주식회사 | Vehicle control system with a automatic breaking function based on image of foward area |
| CN102529963A (en) * | 2010-12-14 | 2012-07-04 | 上海摩西海洋工程有限公司 | Computer-aided driving system |
| CN103544844B (en) * | 2013-10-12 | 2016-10-05 | 浙江吉利控股集团有限公司 | A kind of driving assistance method avoiding traffic signal violation lamp and system |
| CN106157669A (en) * | 2015-04-10 | 2016-11-23 | 上海安悦四维信息技术有限公司 | The method of work of the navigation system of vehicle accident can be reduced |
| CN205256314U (en) * | 2015-12-29 | 2016-05-25 | 天津华方科技有限公司 | Automatic use machine vision automatic identification traffic signal lamp's device among driving an automobile |
| CN105711569B (en) * | 2016-01-29 | 2019-04-05 | 大连楼兰科技股份有限公司 | Autobrake system and method |
| US20160328968A1 (en) * | 2016-03-16 | 2016-11-10 | Mohamed Roshdy Elsheemy | Running red lights avoidance and virtual preemption system |
-
2017
- 2017-01-20 CN CN201710042902.5A patent/CN107086980B/en active Active
- 2017-01-20 CN CN201710988758.4A patent/CN107729849B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102163331A (en) * | 2010-02-12 | 2011-08-24 | 王炳立 | Image-assisting system using calibration method |
| CN103253247A (en) * | 2012-12-28 | 2013-08-21 | 湖南吉利汽车部件有限公司 | Method and system for automatically controlling automobile to not run red light |
| CN105023448A (en) * | 2015-07-09 | 2015-11-04 | 北京汽车研究总院有限公司 | Crossroad driving reminding method and device and vehicle |
| CN105763854A (en) * | 2016-04-18 | 2016-07-13 | 扬州航盛科技有限公司 | Omnidirectional imaging system based on monocular camera, and imaging method thereof |
| CN106331184A (en) * | 2016-12-01 | 2017-01-11 | 网宿科技股份有限公司 | Big data distribution method and distribution platform based on internet |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108920970A (en) * | 2018-07-02 | 2018-11-30 | 北京天华星航科技有限公司 | Data managing method, system and electronic equipment |
| CN108920970B (en) * | 2018-07-02 | 2019-08-30 | 北京天华星航科技有限公司 | Data managing method, system and electronic equipment |
| CN109660613A (en) * | 2018-12-11 | 2019-04-19 | 网宿科技股份有限公司 | Document transmission method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107086980B (en) | 2018-01-12 |
| CN107729849B (en) | 2018-06-15 |
| CN107729849A (en) | 2018-02-23 |
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