CN106530831A - System and method for monitoring and early warning of high-threat vehicles - Google Patents
System and method for monitoring and early warning of high-threat vehicles Download PDFInfo
- Publication number
- CN106530831A CN106530831A CN201611156660.4A CN201611156660A CN106530831A CN 106530831 A CN106530831 A CN 106530831A CN 201611156660 A CN201611156660 A CN 201611156660A CN 106530831 A CN106530831 A CN 106530831A
- Authority
- CN
- China
- Prior art keywords
- information
- vehicle
- early warning
- module
- image
- 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
- G08G1/16—Anti-collision systems
- G08G1/161—Decentralised systems, e.g. inter-vehicle communication
Abstract
The invention discloses a system and method for monitoring and early warning of high-threat vehicles, and belongs to the field of smart vehicle safety early warning. The system comprises an information identification module, a data communication module, an information processing and determining module and an early warning prompting module. The existence of high-threat vehicles is determined by real-time monitoring license plate number information, vehicle speed information and vehicle distance information of front and trailing vehicles to notify the vehicle drivers to decelerate and avoid high-threat vehicles, reducing traffic accidents. Vehicle driving habit information, such as regulation violation historical information, accident processing historical information and vehicle model information, can be obtained according to identified license plate number information. Whether vehicles in the surrounding are high-threat vehicles is comprehensively determined in combination with vehicle speed and vehicle distance information. The determination method is simple and easy to realize, thereby advancing the early-warning time, and lowering accident occurrence probability.
Description
Technical field
The present invention relates to intelligent automobile safe early warning field, more particularly to it is a kind of it is high threaten vehicle monitoring early warning system and
Method for early warning.
Background technology
It is high to threaten vehicle to refer to that generation traffic accident probability is larger in the process of moving, the serious car for threatening traffic safety
.Common height threatens the dangerous product transport vehicle of vehicle, dregs transportation car, long haul car, Xue Yuanche, and violation is driven by force
Car regulation traveling (such as hypervelocity, overload, drunk driving etc.), the vehicle that traffic accident (and being judged to take the main responsibility) frequently occurs.Gao Wei
Coerce vehicle in the process of moving, on the one hand (as vehicle dimension is excessive, weight is big, the visual field is bad due to due to vehicle itself
Deng), on the other hand due to driver exist violation drive custom (such as hypervelocity, break rules and regulations lane change, overtake other vehicles by force) so that this
When class vehicle runs into emergency case, there is traffic accident probability and be much higher than other vehicles, and the person and property can be caused
Grievous injury.Therefore, in drive routine, if driver can have found the vehicle of high threat in advance, it becomes possible to avoid in advance, have
Effect reduces accident rate.
Number plate of vehicle is vehicle unique identity card, thus, it is only required to it is to be understood that number-plate number information, it becomes possible on the internet
Inquire the vehicle information of vehicle corresponding with car plate, recent violation information, accident treatment information etc..And Car license recognition is modern
One of important component part in intelligent transportation system, technology are relatively ripe, and using quite varied.It is with digital picture
Based on the technologies such as process, pattern-recognition, computer vision, the vehicle image or video sequence of shot by camera are carried out
Analysis, obtains the unique number-plate number of each automobile, so as to complete identification process.By the identification of car plate, license plate number is obtained
Code information, inquires the vehicle information of vehicle corresponding with car plate in internet, breaks rules and regulations in the recent period further according to number-plate number information
Information, accident treatment information etc., can determine whether threat degree of the vehicle under steam to surrounding vehicles according to these information.
Current domestic automobile early warning system is mainly tested the speed using GPS, millimetre-wave radar system, range-measurement infrared system, laser
The distance mutual to monitor vehicle such as ranging technology, when two vehicle headways are less than safe distance, early warning system sends warning
Or actively intervention braking.The method only monitors the distance in two workshops, if system early warning is too high apart from threshold value setting, the mistake of system
Report rate can be very high, if system early warning is too low apart from threshold value setting, leaves driver for or SRT is too short, and accident is sent out
When raw, it is impossible to people, car safety is effectively ensured, while this system has the defects such as with high costs, poor universality.
The number-plate number information for extracting vehicle in surrounding environment is present invention be distinguished in that, is obtained and the number-plate number pair
The vehicle information answered, violation information, accident information;Meanwhile, using image processing techniques, calculate the speed information of fore-aft vehicle
With the spacing information of two cars etc., threat degree of the fore-aft vehicle to the vehicle is judged according to the informix for obtaining, it is right
Give warning in advance in the high vehicle for threatening, remind driver to note, reduce traffic accident probability of happening.
The content of the invention
The present invention provides a kind of high threat vehicle monitoring early warning system, cannot supervise in real time to solve vehicle in prior art
The high threat vehicle surveyed in surrounding environment, it is impossible to remind driver to note the defect for avoiding in advance.Using technical scheme it is as follows:
A kind of high threat vehicle monitoring early warning system, including:Information identification module, data communication module, information processing are sentenced
Disconnected module, four part of prompting warning module composition.
Described information identification module includes:Two high-definition cameras, image pick-up card, processor, communications after Chinese herbaceous peony connect
Mouth waits four parts composition;The video camera is connected with described image capture card, and described image capture card is connected with the processor,
The processor is connected with the communication interface;Video camera shoots image before and after vehicle, by described image capture card to image
Digital coding is carried out, is recycled the processor that process is analyzed to image information, is drawn the car plate of same vehicle in image
Number information, speed information and spacing information, give the data communication the number-plate number information transmission by communication interface
Module, processes judge module to described information speed information and spacing information transmission.
The data communication module includes:Information transmitter unit, internet information query unit, information receiving unit;Institute
Information transmitter unit is stated, the number-plate number information is sent to the internet information query unit, the internet information
Query unit inquires the information such as vehicle information, recent violation information and the accident treatment of the number-plate number correspondence vehicle, and
Above- mentioned information is back to into information receiving unit, information receiving unit is connected with information processing judge module.
Described information processes judge module, the vehicle information, recent violation information according to number-plate number correspondence vehicle
The information such as the speed information come with accident treatment information and by communication interface transmission and spacing information, week described in comprehensive descision
In collarette border, whether vehicle belongs to high threat vehicle.
The prompting warning module, including:Phonetic alarm and display screen composition, if judging vehicle in the surrounding environment
Vehicle is threatened for high, is then sent the information for reminding driver to note surrounding vehicles, and spacing information is shown in display screen.
Washed based on above-mentioned early warning, the invention allows for a kind of high threat vehicle monitoring method for early warning, including following step
Suddenly:
S1, obtains license board information, spacing information and the speed information of the fore-aft vehicle;
The license board information and internet communication are obtained the vehicle of the fore-aft vehicle, violating the regulations and accident information by S2;
S3, the vehicle of the comprehensive fore-aft vehicle, the situation of violating the regulations and accident information and spacing information and speed information sentence
Whether the fore-aft vehicle that breaks is high threat vehicle;
S4, threatens vehicle if existing in judging the fore-aft vehicle and belonging to high, sends for reminding the normally travel car
The caution sound of driver, and the high distance for threatening vehicle and the normally travel vehicle is shown on a display screen.
Further, the realization of step S1 includes:By in front of vehicle former and later two video camera monitor in real time, rear
Image, obtains useful image information;By Video Image technology of identification, car plate is carried out to video camera acquisition image and is carried
Take, Image semantic classification, feature extraction, technology of vehicle license plate character identification, obtain the number-plate number, vehicle information;Using image comparison skill
Art, Accurate Estimation go out the speed of vehicle and spacing information in surrounding environment.
Further, the method for obtaining speed in environment can also adopt Doppler radar measurement;Two velocity radars are distinguished
Installed in the front and back of driving vehicle, for measuring the relative speed of vehicle in surrounding environment.
Further, the method for obtaining spacing in environment can also be adopted:Using installed in former and later two laser range finders of vehicle
The distance of vehicle in measurement driving vehicle and surrounding environment;Or, using tellurometer survey radar to 360 ° of models around driving vehicle
Enclose interior real-time measurement, the distance in acquisition driving vehicle and surrounding environment between vehicle;Or, using forward and backward 2 infrared rays of vehicle
Rangefinder measures driving vehicle and front, the property of rear object and its distance with this car.
The invention has the beneficial effects as follows:
By being monitored to the number-plate number information, speed information and spacing information in real time, judge whether surrounding has height
Vehicle is threatened, is reminded vehicle driver to note slowing down, avoid high threat vehicle, is reduced traffic accident and occur;Can be according to identification
Number-plate number information, obtains vehicle drive habits information (as peccancy and trouble-causing historical information, accident treatment historical information and vehicle are believed
Breath), in combination with speed and spacing information, in surrounding environment described in comprehensive descision, whether vehicle belongs to high threat vehicle, differentiates
Method is simple, be easily achieved, and is advanced by significantly pre-warning time, reduces contingency occurrence probability.
Description of the drawings
Fig. 1 is a kind of high threat vehicle monitoring method flow diagram of the present invention;
Fig. 2 is a kind of high threat vehicle early warning structure drawing of device of the present invention;
Fig. 3 is the system monitoring process schematic;
Fig. 4 is described information identification module system block diagram.
Specific embodiment
Below in conjunction with the accompanying drawings a kind of high threat vehicle monitoring early warning system of the invention is described in further detail.
Fig. 1 is a kind of high threat vehicle monitoring early warning system flow chart of invention, including:01 car for obtaining the fore-aft vehicle
Board information, spacing information and speed information etc.;02 car that the license board information and internet communication are obtained the fore-aft vehicle
Type, violating the regulations and accident information;The vehicle of the 03 comprehensive fore-aft vehicle, violating the regulations and accident information and spacing information and speed information
Situation judge that whether the fore-aft vehicle is high to threaten vehicle;If 04 judges that the fore-aft vehicle belongs to high and threatens vehicle, send out
Go out for reminding the caution sound of the normally travel vehicle driver, and show on a display screen it is described it is high threaten vehicle with it is described
The distance of normally travel vehicle.
Fig. 2 is a kind of high threat vehicle early warning structure drawing of device of the present invention, including:Information identification module, data communication mould
Block, information processing judge module, four part of prompting warning module composition;Described information process judge module respectively with described information
Identification module, the data communication module, the prompting warning module are connected.
Fig. 3 is the system monitoring process schematic, by vehicle former and later two video camera monitor in real time forward/rears
Image, obtains useful image information;Fig. 4 is described information identification module system block diagram, recognizes skill by Video Image
Art, obtaining image to video camera carries out the technologies such as license plate retrieving, Image semantic classification, feature extraction, Recognition of License Plate Characters, obtains car
The information such as trade mark code, vehicle;Meanwhile, using image comparison technology, can accurately extrapolate the speed of vehicle in surrounding environment
With spacing information.
The method for obtaining the real-time speed of vehicle also has a lot, can also use Doppler radar measurement in the present invention, and two
Individual velocity radar is separately mounted to the front and back of driving vehicle, for measuring the relative speed of vehicle in surrounding environment,
Speed information is passed to by information processing judge module by information output interface.
The method of acquisition spacing information can equally use following several:
(1) using install with vehicle former and later two laser range finders measure driving vehicles with surrounding environment vehicle away from
From;
(2) using tellurometer survey radar, realize to being measured in the range of around driving vehicle 360 ° in real time, and detection range
Far, reliable, measurement performance is affected less by extraneous factors such as weather, in acquisition driving vehicle and surrounding environment between vehicle
Distance, relative velocity;
(3) by forward and backward 2 infrared ambulators of vehicle of driving a vehicle measure driving vehicle and forward and backward square object body property and
Its distance with this car;
(4) using the image of the forward and backward side of the video camera captured in real-time, by analyzing the same car plate captured not in the same time
Two width pictures, calculate the distance of two cars using processor;
Obtained after spacing information using above method, then described information process is passed information to by information output interface
Judge module.
The data communication module, including:Information transmitter unit, internet information query unit, information receiving unit;Institute
Information transmitter unit is stated, the number-plate number information is sent to the internet information query unit, the internet information
Query unit inquires historical information violating the regulations, accident treatment information and the vehicle information of the number-plate number correspondence vehicle, and will
Described information is back to information receiving unit, and information receiving unit is connected with information processing judge module.Information in the present invention
Send and receive using 4G mechanicss of communication.
Described information processes judge module, by the vehicle information for obtaining, historical information violating the regulations, accident treatment historical information,
Speed information and spacing information etc. are comprehensively analyzed, according to different information states, the every different individual event threshold value of setting, and example
Such as, form information is divided into slight threat, moderate according to threat degree to threaten and height threat Three Estate, each grade correspondence
Hazardous materials transportation car, dregs transportation car according to the difference of vehicle, are set to height and are threatened by one threshold values, long haul car, long-distance
Passenger train etc. is set to moderate threat, car, buggy etc. and is set to slight threat;It is different according to quantity violating the regulations, by 4~6 times/year
It is judged to slight threat, 7~10 times/year are judged to that moderate is threatened, and the judgement more than 10 times/year is threatened for height.According to accident
Number of times is different, is set to slight threat by 1~2 times/year, and 3~4 times/year are judged to that moderate is threatened, and the judgement more than 4 times/year is height
Degree is threatened;When speed information is classified, according to section maximum speed of operation setting threshold values is currently located, speed is in the maximum traveling in section
The vehicle of speed 80%~100% is set to slight threat, vehicle of the speed in the range of maximum travelling speed 100%~120%
It is set to moderate threat, speed is set to height more than the vehicle of section maximum travelling speed 120% and threatens;Spacing information, works as spacing
It is set as slight threat during more than 30~50 meters, 10~30 meters are set as that moderate is threatened, and are set as that less than 10 meters height is threatened.Such as
When any one information of fruit monitoring meets or exceeds the threshold value of height threat level setting, the vehicle is judged as high and threatens car
;When in five information of vehicle, there are three moderate threat to be reached without reaching height threat, judge the vehicle for high threat
Vehicle;When in five information of vehicle, during all slight threats, the vehicle is judged for high and threaten vehicle.Information processing of the present invention
Judge module adopts chip microcontroller.
If judge that vehicle is for high threat vehicle in the surrounding environment, sent out to the driving vehicle driver by voice
Go out the information for reminding, prompting message adopts different information according to different information thresholds, (vehicle is threatened as there is height,
Front/rear side's vehicle speed is too fast, and front/rear side's vehicle spacing is too small etc.), while showing institute in certain limit on a display screen in real time
State vehicle position information in surrounding environment.
Finally it should be noted that:Above example only to illustrate technical scheme, rather than a limitation;Although
The present invention has been described in detail, it will be understood by those within the art that:Which still can be remembered to the present invention
The technical scheme of load is modified, or carries out equivalent to which part technical characteristic;And these modifications or replacement, and
The spirit and scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution are not made.
Claims (9)
1. a kind of height threatens vehicle monitoring early warning system, it is characterised in that including information identification module, data communication module, letter
Breath processes judge module, prompting warning module;Described information process judge module respectively with described information identification module, the number
It is connected according to communication module, the prompting warning module;Described information identification module is used for the car for obtaining other vehicles of vehicle periphery
Trade mark code, speed information and spacing information;The data communication module obtains which according to the inquiry of the number-plate number of other vehicles
The vehicle information of his vehicle, recent violation information and accident treatment;Described information processes judge module according to speed, spacing, car
Type, violation information, accident information judge whether other vehicles belong to high and threaten vehicle;The prompting warning module is having high threat
In the presence of vehicle, voice reminder is sent to driver and shown and the high spacing for threatening vehicle.
2. a kind of height according to claim 1 threatens vehicle monitoring early warning system, it is characterised in that described information recognizes mould
Block includes:Two high-definition cameras, image pick-up card, processor, communication interfaces after Chinese herbaceous peony;The video camera and described image
Capture card connects, and described image capture card is connected with the processor, and the processor is connected with the communication interface;It is described to take the photograph
Camera shoots image before and after vehicle;Described image capture card carries out digital coding to described image;The processor is to the figure
As information is analyzed process, number-plate number information, speed information and the spacing information of vehicle in image are drawn, and by communication
Interface gives the letter to the data communication module, speed information and spacing information transmission the number-plate number information transmission
Breath processes judge module.
3. a kind of height according to claim 1 threatens vehicle monitoring early warning system, it is characterised in that the data communication mould
Block includes:Information transmitter unit, internet information query unit, information receiving unit;Described information transmitter unit is by the car
Board number information is sent to the internet information query unit;The internet information query unit inquires the license plate number
The code correspondence vehicle information of vehicle, recent violation information and accident treatment information, and described information is sent to into described information connects
Unit is received, information receiving unit is connected with information processing judge module.
4. a kind of height according to claim 3 threatens vehicle monitoring early warning system, it is characterised in that the internet information
Query unit is 4G communication modules.
5. a kind of height according to claim 1 threatens vehicle monitoring early warning system, it is characterised in that described information process is sentenced
Disconnected module by the vehicle information for obtaining, violation information, accident information, speed information and spacing information comprehensive analysis, according to difference
Information state, the every different individual event threshold value of setting, if any one information of monitoring meets or exceeds the threshold value of setting, sentences
Break the vehicle vehicle is threatened for high.
6. a kind of height threatens vehicle monitoring method for early warning, it is characterised in that comprise the steps:
S1, obtains license board information, spacing information and the speed information of the fore-aft vehicle;
The license board information and internet communication are obtained the vehicle of the fore-aft vehicle, violating the regulations and accident information by S2;
S3, comprehensively the vehicle of the fore-aft vehicle, violating the regulations, accident information and spacing information and speed information judge the car in front and back
It is whether high to threaten vehicle;
S4, threatens vehicle if existing in judging the fore-aft vehicle and belonging to high, sends for reminding the normally travel vehicle to drive
The caution sound of the person of sailing, and the high distance for threatening vehicle and the normally travel vehicle is shown on a display screen.
7. a kind of height according to claim 6 threatens vehicle monitoring method for early warning, it is characterised in that the reality of step S1
Now include:By in front of vehicle former and later two video camera monitor in real time, the image at rear, obtain useful image information;By meter
Calculation machine video image identification technology, obtaining image to video camera carries out license plate retrieving, Image semantic classification, feature extraction, car plate word
Symbol technology of identification, obtains the number-plate number, vehicle information;Using image comparison technology, Accurate Estimation goes out vehicle in surrounding environment
Speed and spacing information.
8. a kind of height according to claim 7 threatens vehicle monitoring method for early warning, it is characterised in that obtain speed in environment
Method can also adopt Doppler radar measurement;Two velocity radars are separately mounted to into the front and back of driving vehicle, are used
The relative speed of vehicle in surrounding environment is measured.
9. a kind of height according to claim 7 threatens vehicle monitoring method for early warning, it is characterised in that obtain spacing in environment
Method can also adopt:Driving vehicle is measured with vehicle in surrounding environment using former and later two laser range finders installed in vehicle
Distance;
Or, using tellurometer survey radar to being measured in the range of around driving vehicle 360 ° in real time, obtain driving vehicle and surrounding
Distance in environment between vehicle;
Or, using forward and backward 2 infrared ambulators of vehicle measure driving vehicle and front, the property of rear object and its with
The distance of this car.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611156660.4A CN106530831A (en) | 2016-12-15 | 2016-12-15 | System and method for monitoring and early warning of high-threat vehicles |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611156660.4A CN106530831A (en) | 2016-12-15 | 2016-12-15 | System and method for monitoring and early warning of high-threat vehicles |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106530831A true CN106530831A (en) | 2017-03-22 |
Family
ID=58339540
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611156660.4A Pending CN106530831A (en) | 2016-12-15 | 2016-12-15 | System and method for monitoring and early warning of high-threat vehicles |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106530831A (en) |
Cited By (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106080609A (en) * | 2016-06-30 | 2016-11-09 | 深圳市赛格导航科技股份有限公司 | A kind of method and system of safe driving based on ADAS module |
CN107103774A (en) * | 2017-06-19 | 2017-08-29 | 京东方科技集团股份有限公司 | A kind of vehicle monitoring method and device for monitoring vehicle |
CN107318083A (en) * | 2017-08-28 | 2017-11-03 | 上海西良工程技术服务有限公司 | Near field interactive system and method between a kind of vehicle |
CN107547098A (en) * | 2017-08-31 | 2018-01-05 | 深圳莱特光电股份有限公司 | A kind of Vehicular intelligent information interaction system |
CN108460351A (en) * | 2018-02-28 | 2018-08-28 | 北京航星机器制造有限公司 | A kind of Portable chassis scanning system and application method |
CN108806297A (en) * | 2018-07-24 | 2018-11-13 | 四川数字灯塔科技有限公司 | Traffic accident prevention system based on fusion big data analysis |
CN109671266A (en) * | 2018-11-26 | 2019-04-23 | 北京交通大学 | Based on the pilot accident's dynamic early-warning method for accelerating failure risk model |
CN109711737A (en) * | 2018-12-28 | 2019-05-03 | 英华达(南京)科技有限公司 | A kind of threat vehicle checking method, apparatus and system |
CN110085042A (en) * | 2019-04-08 | 2019-08-02 | 武汉理工大学 | A kind of vehicle drive early warning system and method based on information fusion |
CN110211387A (en) * | 2019-04-24 | 2019-09-06 | 湖北工业大学 | A kind of collision based reminding method and device based on vehicle cab recognition |
CN110651313A (en) * | 2017-05-15 | 2020-01-03 | 佳能株式会社 | Control device and control method |
CN110930690A (en) * | 2019-10-22 | 2020-03-27 | 张雪华 | Intelligent automobile safety system under car networking environment |
CN111361558A (en) * | 2018-12-25 | 2020-07-03 | 富泰华工业(深圳)有限公司 | Vehicle and automatic vehicle deceleration method |
CN111444756A (en) * | 2019-11-01 | 2020-07-24 | 泰州三凯工程技术有限公司 | Dangerous driving scene identification platform, method and storage medium |
CN111613059A (en) * | 2020-05-30 | 2020-09-01 | 腾讯科技(深圳)有限公司 | Data processing method and equipment |
CN111619444A (en) * | 2019-02-28 | 2020-09-04 | 上海博泰悦臻电子设备制造有限公司 | Driving prompting method and vehicle-mounted terminal |
CN111815957A (en) * | 2019-04-11 | 2020-10-23 | 泰州腾翔信息科技有限公司 | Traffic data field detection terminal |
CN111862628A (en) * | 2019-10-24 | 2020-10-30 | 王俊芝 | Vehicle speed customization system and method based on cloud server |
CN112622755A (en) * | 2019-09-24 | 2021-04-09 | 上海博泰悦臻电子设备制造有限公司 | Early warning method, device and computer storage medium |
CN113256997A (en) * | 2021-04-30 | 2021-08-13 | 贵州数据宝网络科技有限公司 | Traffic vehicle violation detection device and method |
CN113823120A (en) * | 2021-08-18 | 2021-12-21 | 深圳市元征科技股份有限公司 | Vehicle danger early warning method and related device |
CN113849485A (en) * | 2021-10-12 | 2021-12-28 | 江苏泰扬金属制品有限公司 | Big data application system for mode switching |
CN113888901A (en) * | 2021-09-29 | 2022-01-04 | 英华达(南京)科技有限公司 | Intelligent safe driving reminding device and method and helmet |
CN113895431A (en) * | 2021-09-30 | 2022-01-07 | 重庆电子工程职业学院 | Vehicle detection method and system |
CN114495511A (en) * | 2020-11-13 | 2022-05-13 | 上海博泰悦臻网络技术服务有限公司 | Method, system, medium, and apparatus for reminding vehicle owner of paying attention to vehicle traveling in the same direction |
CN114648891A (en) * | 2020-12-18 | 2022-06-21 | 上海擎感智能科技有限公司 | Dangerous vehicle prompting method, electronic equipment and computer readable storage medium |
CN115100855A (en) * | 2022-06-20 | 2022-09-23 | 公安部交通管理科学研究所 | Early warning method and system for hidden danger vehicles on highway |
CN115100868A (en) * | 2022-07-27 | 2022-09-23 | 沧州市交通运输局 | Traffic transport traffic flow node risk degree determination method based on big data analysis |
CN115131973A (en) * | 2021-03-25 | 2022-09-30 | 上海博泰悦臻网络技术服务有限公司 | Vehicle early warning method, device and system |
CN115346370A (en) * | 2022-08-10 | 2022-11-15 | 重庆大学 | Intersection anti-collision system and method based on intelligent traffic |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120093357A1 (en) * | 2010-10-13 | 2012-04-19 | Gm Global Technology Operations, Inc. | Vehicle threat identification on full windshield head-up display |
CN104103190A (en) * | 2014-07-28 | 2014-10-15 | 上海扬梓投资管理有限公司 | Automatic vehicle alarm terminal and method |
CN104537860A (en) * | 2015-01-12 | 2015-04-22 | 小米科技有限责任公司 | Traffic safety prompting method and device |
CN104704541A (en) * | 2012-10-04 | 2015-06-10 | 三菱电机株式会社 | Vehicle-mounted information processing device |
CN105405321A (en) * | 2015-12-22 | 2016-03-16 | 清华大学 | Safety early warning method during running of vehicles on freeway and system |
CN105844965A (en) * | 2016-05-06 | 2016-08-10 | 深圳市元征科技股份有限公司 | Vehicle distance prompting method and device |
CN106080609A (en) * | 2016-06-30 | 2016-11-09 | 深圳市赛格导航科技股份有限公司 | A kind of method and system of safe driving based on ADAS module |
CN206961331U (en) * | 2016-12-15 | 2018-02-02 | 江苏大学 | A kind of high threat vehicle monitoring early warning system |
-
2016
- 2016-12-15 CN CN201611156660.4A patent/CN106530831A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120093357A1 (en) * | 2010-10-13 | 2012-04-19 | Gm Global Technology Operations, Inc. | Vehicle threat identification on full windshield head-up display |
CN104704541A (en) * | 2012-10-04 | 2015-06-10 | 三菱电机株式会社 | Vehicle-mounted information processing device |
CN104103190A (en) * | 2014-07-28 | 2014-10-15 | 上海扬梓投资管理有限公司 | Automatic vehicle alarm terminal and method |
CN104537860A (en) * | 2015-01-12 | 2015-04-22 | 小米科技有限责任公司 | Traffic safety prompting method and device |
CN105405321A (en) * | 2015-12-22 | 2016-03-16 | 清华大学 | Safety early warning method during running of vehicles on freeway and system |
CN105844965A (en) * | 2016-05-06 | 2016-08-10 | 深圳市元征科技股份有限公司 | Vehicle distance prompting method and device |
CN106080609A (en) * | 2016-06-30 | 2016-11-09 | 深圳市赛格导航科技股份有限公司 | A kind of method and system of safe driving based on ADAS module |
CN206961331U (en) * | 2016-12-15 | 2018-02-02 | 江苏大学 | A kind of high threat vehicle monitoring early warning system |
Cited By (37)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106080609A (en) * | 2016-06-30 | 2016-11-09 | 深圳市赛格导航科技股份有限公司 | A kind of method and system of safe driving based on ADAS module |
CN110651313A (en) * | 2017-05-15 | 2020-01-03 | 佳能株式会社 | Control device and control method |
US11390276B2 (en) | 2017-05-15 | 2022-07-19 | Canon Kabushiki Kaisha | Control device, control method, and non-transitory storage medium |
CN107103774A (en) * | 2017-06-19 | 2017-08-29 | 京东方科技集团股份有限公司 | A kind of vehicle monitoring method and device for monitoring vehicle |
CN107318083A (en) * | 2017-08-28 | 2017-11-03 | 上海西良工程技术服务有限公司 | Near field interactive system and method between a kind of vehicle |
CN107318083B (en) * | 2017-08-28 | 2022-08-19 | 上海西良工程技术服务有限公司 | Near field interaction system and method between vehicles |
CN107547098A (en) * | 2017-08-31 | 2018-01-05 | 深圳莱特光电股份有限公司 | A kind of Vehicular intelligent information interaction system |
CN108460351A (en) * | 2018-02-28 | 2018-08-28 | 北京航星机器制造有限公司 | A kind of Portable chassis scanning system and application method |
CN108806297A (en) * | 2018-07-24 | 2018-11-13 | 四川数字灯塔科技有限公司 | Traffic accident prevention system based on fusion big data analysis |
CN109671266A (en) * | 2018-11-26 | 2019-04-23 | 北京交通大学 | Based on the pilot accident's dynamic early-warning method for accelerating failure risk model |
CN111361558A (en) * | 2018-12-25 | 2020-07-03 | 富泰华工业(深圳)有限公司 | Vehicle and automatic vehicle deceleration method |
CN109711737A (en) * | 2018-12-28 | 2019-05-03 | 英华达(南京)科技有限公司 | A kind of threat vehicle checking method, apparatus and system |
CN111619444A (en) * | 2019-02-28 | 2020-09-04 | 上海博泰悦臻电子设备制造有限公司 | Driving prompting method and vehicle-mounted terminal |
CN110085042A (en) * | 2019-04-08 | 2019-08-02 | 武汉理工大学 | A kind of vehicle drive early warning system and method based on information fusion |
CN110085042B (en) * | 2019-04-08 | 2021-09-03 | 武汉理工大学 | Vehicle driving early warning system and method based on information fusion |
CN111815957A (en) * | 2019-04-11 | 2020-10-23 | 泰州腾翔信息科技有限公司 | Traffic data field detection terminal |
CN110211387A (en) * | 2019-04-24 | 2019-09-06 | 湖北工业大学 | A kind of collision based reminding method and device based on vehicle cab recognition |
CN112622755A (en) * | 2019-09-24 | 2021-04-09 | 上海博泰悦臻电子设备制造有限公司 | Early warning method, device and computer storage medium |
CN110930690A (en) * | 2019-10-22 | 2020-03-27 | 张雪华 | Intelligent automobile safety system under car networking environment |
CN111862628A (en) * | 2019-10-24 | 2020-10-30 | 王俊芝 | Vehicle speed customization system and method based on cloud server |
CN111444756A (en) * | 2019-11-01 | 2020-07-24 | 泰州三凯工程技术有限公司 | Dangerous driving scene identification platform, method and storage medium |
CN111613059B (en) * | 2020-05-30 | 2023-08-18 | 腾讯科技(深圳)有限公司 | Data processing method and device |
CN111613059A (en) * | 2020-05-30 | 2020-09-01 | 腾讯科技(深圳)有限公司 | Data processing method and equipment |
CN114495511A (en) * | 2020-11-13 | 2022-05-13 | 上海博泰悦臻网络技术服务有限公司 | Method, system, medium, and apparatus for reminding vehicle owner of paying attention to vehicle traveling in the same direction |
CN114648891A (en) * | 2020-12-18 | 2022-06-21 | 上海擎感智能科技有限公司 | Dangerous vehicle prompting method, electronic equipment and computer readable storage medium |
CN115131973A (en) * | 2021-03-25 | 2022-09-30 | 上海博泰悦臻网络技术服务有限公司 | Vehicle early warning method, device and system |
CN113256997B (en) * | 2021-04-30 | 2022-09-06 | 贵州数据宝网络科技有限公司 | Traffic vehicle violation detection device and method |
CN113256997A (en) * | 2021-04-30 | 2021-08-13 | 贵州数据宝网络科技有限公司 | Traffic vehicle violation detection device and method |
CN113823120A (en) * | 2021-08-18 | 2021-12-21 | 深圳市元征科技股份有限公司 | Vehicle danger early warning method and related device |
CN113888901A (en) * | 2021-09-29 | 2022-01-04 | 英华达(南京)科技有限公司 | Intelligent safe driving reminding device and method and helmet |
CN113895431A (en) * | 2021-09-30 | 2022-01-07 | 重庆电子工程职业学院 | Vehicle detection method and system |
CN113849485A (en) * | 2021-10-12 | 2021-12-28 | 江苏泰扬金属制品有限公司 | Big data application system for mode switching |
CN115100855A (en) * | 2022-06-20 | 2022-09-23 | 公安部交通管理科学研究所 | Early warning method and system for hidden danger vehicles on highway |
CN115100868A (en) * | 2022-07-27 | 2022-09-23 | 沧州市交通运输局 | Traffic transport traffic flow node risk degree determination method based on big data analysis |
CN115100868B (en) * | 2022-07-27 | 2022-11-04 | 沧州市交通运输局 | Traffic transport vehicle flow node risk degree determination method based on big data analysis |
CN115346370A (en) * | 2022-08-10 | 2022-11-15 | 重庆大学 | Intersection anti-collision system and method based on intelligent traffic |
CN115346370B (en) * | 2022-08-10 | 2023-11-03 | 重庆大学 | Intersection anti-collision system and method based on intelligent traffic |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106530831A (en) | System and method for monitoring and early warning of high-threat vehicles | |
US10332401B2 (en) | Running vehicle alerting system and method | |
CN102765365B (en) | Pedestrian detection method based on machine vision and pedestrian anti-collision warning system based on machine vision | |
CN100440269C (en) | Intelligent detecting prewarning method for expressway automobile running and prewaring system thereof | |
CN104260723B (en) | A kind of front vehicle motion state tracking prediction meanss and Forecasting Methodology | |
CN110400478A (en) | A kind of road condition notification method and device | |
CN101934771B (en) | Vehicle collision warning system | |
CN102785660A (en) | Vehicle collision-proof early warning device | |
CN104809887B (en) | A kind of retrograde detection method of vehicle on expressway and autoalarm | |
CN206961331U (en) | A kind of high threat vehicle monitoring early warning system | |
CN110316198A (en) | A kind of safe-guard system and operation method for highway speed-raising | |
CN105303830A (en) | Driving behavior analysis system and analysis method | |
CN105405321A (en) | Safety early warning method during running of vehicles on freeway and system | |
CN107336724B (en) | A kind of the high-speed rail anticollision gear and method of computer vision and millimeter-wave technology combination | |
CN104200668A (en) | Image-analysis-based detection method for helmet-free motorcycle driving violation event | |
CN101391589A (en) | Vehicle intelligent alarming method and device | |
CN110718062A (en) | Large-area multi-target traffic incident detection system and method | |
CN109448384B (en) | A kind of highway danger traffic behavior recognition methods | |
CN110085042A (en) | A kind of vehicle drive early warning system and method based on information fusion | |
CN113034952B (en) | Road traffic safety real-time early warning system based on vehicle-road cooperation | |
CN108346316A (en) | A kind of prevention and control system violating the regulations of the intelligence based on lane detection | |
CN105235680A (en) | Pedestrian avoiding method and system based on cloud computing | |
CN108973859A (en) | A kind of terrible Preventing Traffic Accident System and method of popping one's head in | |
CN106383918A (en) | System for distinguishing reasonability of emergency braking behavior and distinguishing method | |
CN104134350A (en) | Intelligent dome camera system for traffic violation behavior recognition |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | 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: 20170322 |
|
RJ01 | Rejection of invention patent application after publication |