CN107221196A - Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing - Google Patents
Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing Download PDFInfo
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- CN107221196A CN107221196A CN201710386159.5A CN201710386159A CN107221196A CN 107221196 A CN107221196 A CN 107221196A CN 201710386159 A CN201710386159 A CN 201710386159A CN 107221196 A CN107221196 A CN 107221196A
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- Prior art keywords
- vehicle
- data
- risk assessment
- risk
- nearby
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The invention provides a kind of vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing.This method includes：The video data that equipment receives the nearby vehicle of Current vehicle is obtained from the video data of Current vehicle；Video data is analyzed to extract the vehicle characteristic information in video data；The driving risk assessment data of nearby vehicle is obtained from external data base based on the vehicle characteristic information extracted；And the risk class of nearby vehicle is judged based on the driving risk assessment data got.The present invention is capable of the risk class of comprehensive descision nearby vehicle and reminds the driver of Current vehicle to take measures to avoid in time, therefore improves the security of vehicle drive, reduces the generation of traffic accident.
Description
Technical field
The present invention relates to safe driving technical field, more particularly to a kind of vehicle drive methods of risk assessment, device, system
And readable storage medium storing program for executing.
Background technology
The life that automobile gives people as modern transportation instrument brings great convenience, but also brings simultaneously serious
Traffic safety problem.Counted according to vehicle supervision department, it is constantly improve with vehicle population, can all have because of such as road daily
It is a lot of that the various situations such as travel permit part and traffic administration imperfection, traffic behavior specification shortage, technology state of vehicle complexity trigger
Traffic accident, this not only have impact on normal traffic order, and the personal safety for returning driver and passenger brings threat.Cause
This, the driving risk for assessing nearby vehicle exactly using existing big data is very necessary.
The content of the invention
In view of this, the embodiment of the present invention provides a kind of vehicle drive methods of risk assessment, device, system and readable storage
Medium, is capable of the risk class of comprehensive descision nearby vehicle and reminds the driver of Current vehicle to take measures to avoid in time, because
This improves the security of vehicle drive, reduces the generation of traffic accident.
One aspect of the present invention provides a kind of vehicle drive methods of risk assessment, including：
The video data that equipment receives the nearby vehicle of Current vehicle is obtained from the video data of Current vehicle；
Video data is analyzed to extract the vehicle characteristic information in video data；
The driving risk assessment data of nearby vehicle is obtained from external data base based on the vehicle characteristic information extracted；With
And
The risk class of nearby vehicle is judged based on the driving risk assessment data got.
In one embodiment of the invention, the wind of nearby vehicle is being judged based on the driving risk assessment data got
After dangerous grade, this method also includes：
Risk class generation prompt message based on nearby vehicle, the prompt message is used for the driver for reminding Current vehicle
Risk class on nearby vehicle.
In one embodiment of the invention, the accident responsibility historical data based on nearby vehicle, deduction of points record violating the regulations and
Maintenance record is weighted to determine the risk class of nearby vehicle.
In one embodiment of the invention, external data base includes vehicle supervision department's database, vehicle maintenance centre
Database, insurance company database, and drive vehicle condition data of the risk assessment data including nearby vehicle, violation data, go out
Dangerous data, mantenance data.
Another aspect of the present invention provides a kind of vehicle drive risk assessment device, including：
Video data receiving module, is configured to obtain the periphery that equipment receives Current vehicle from the video data of Current vehicle
The video data of vehicle；
Vehicle characteristic information extraction module, is configured to analyze video data special to extract the vehicle in video data
Reference ceases；
Risk assessment data acquisition module is driven, extracted vehicle characteristic information is configured to and is obtained from external data base
Take the driving risk assessment data of nearby vehicle；And
Risk class judge module, the driving risk assessment data for being configured to get judges the risk of nearby vehicle
Grade.
In one embodiment of the invention, the device also includes：
Prompt message generation module, is configured to the risk class generation prompt message of nearby vehicle, the prompt message
For reminding the driver of Current vehicle on the risk class of nearby vehicle.
In one embodiment of the invention, the accident responsibility historical data based on nearby vehicle, deduction of points record violating the regulations and
Maintenance record is weighted to determine the risk class of nearby vehicle.
An additional aspect of the present invention provides a kind of vehicle drive risk evaluating system, including：Memory, processor and deposit
The executable instruction that can be run in memory and within a processor is stored up, wherein, realized such as during computing device executable instruction
Upper described method.
Another aspect of the invention provides a kind of computer-readable recording medium, is stored thereon with the executable finger of computer
Order, it is characterised in that method as described above is realized when executable instruction is executed by processor.
The technical scheme provided according to embodiments of the present invention, by receiving the video data of nearby vehicle, to video data
Carry out intellectual analysis and simultaneously extract the vehicle characteristic information in video data, based on the vehicle characteristic information extracted from external data
The driving risk assessment data of nearby vehicle is obtained in storehouse, nearby vehicle is judged based on the driving risk assessment data got
Risk class, and the generation prompt message of the risk class based on nearby vehicle, are capable of risk of comprehensive descision nearby vehicle etc.
Level simultaneously reminds the driver of Current vehicle to take measures to avoid in time, therefore improve the security of vehicle drive, reduces friendship
The generation of interpreter's event.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
Can the limitation present invention.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the present invention
Example, and for explaining principle of the invention together with specification.
Fig. 1 is a kind of flow chart of vehicle drive methods of risk assessment according to an exemplary embodiment.
Fig. 2 is the flow chart of another vehicle drive methods of risk assessment according to an exemplary embodiment.
Fig. 3 is a kind of block diagram of vehicle drive risk assessment device according to an exemplary embodiment.
Fig. 4 is the block diagram of another vehicle drive risk assessment device according to an exemplary embodiment.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example is applied, the scope of protection of the invention is belonged to.
It should be noted that the term " vehicle " used in the description of the invention or " vehicle " or other similar arts
Language generally comprises motor vehicles, such as including sport vehicle (SUV), bus, truck, various commerial vehicles
Passenger car, includes the water carrier of various ships and ship, aircraft etc., and including motor vehicle driven by mixed power, electric vehicle, insert
Electric-type hybrid electric vehicle, hydrogen-powered vehicle and other alternative fuel vehicles, for example, being obtained from resource in addition to petroleum
Fuel.Motor vehicle driven by mixed power used herein is the vehicle with two or more power sources, such as gasoline and driven by power
Vehicle.
Fig. 1 is a kind of flow chart of vehicle drive methods of risk assessment according to an exemplary embodiment.Such as Fig. 1 institutes
Show, this method includes：
Step 101：The video data that equipment receives the nearby vehicle of Current vehicle is obtained from the video data of Current vehicle.
In embodiments of the present invention, the video data (i.e. video image) of nearby vehicle is to utilize to be arranged on Current vehicle
Video data obtain equipment and gather in real time, it can be vehicle-mounted camera, vehicle-mounted vidicon, OK that the video data, which obtains equipment,
Car recorder etc..
Step 102：Video data is analyzed to extract the vehicle characteristic information in video data.
In embodiments of the present invention, before analyzing video data, because the video data of dynamic acquisition may
There are problems that fuzzy, interference and, therefore, first the video data collected is pre-processed to obtain high-quality
Video data.Here, image pre-processing method includes image smoothing, image filtering, histogram equalization, greyscale transformation, two-value
Change, image completion etc..
Further, carry out intellectual analysis to pretreated video data to extract the car in (or identification) video data
Characteristic information, the vehicle characteristic information includes the one or more in car plate, logo, car system, vehicle, car money, body color.
Step 103：Commented based on the driving risk that the vehicle characteristic information extracted obtains nearby vehicle from external data base
Estimate data.
In embodiments of the present invention, general packet radio service GPRS (General Packet Radio are passed through
Service) one kind and external data in technology, 3rd generation mobile communication technology (3G), forth generation mobile communication technology (4G)
Wireless communication connection is set up in storehouse, and the external data base includes vehicle supervision department's database, vehicle maintenance centre database, insurance
Company database etc..
Further, driving for the nearby vehicle associated with the vehicle characteristic information extracted is obtained from external data base
Risk assessment data is sailed, the driving risk assessment data includes vehicle condition data, violation data, data of being in danger, the dimension of nearby vehicle
Repair data etc..
Step 104：The risk class of nearby vehicle is judged based on the driving risk assessment data got.
In embodiments of the present invention, to the nearby vehicle that gets accident responsibility historical data, deduction of points record violating the regulations and
Maintenance record etc. is weighted to determine the risk class fraction of nearby vehicle, and determines periphery car according to the risk class fraction
Risk class.
Specifically, first, preset risk class computation model, and by weight factor be set as accident responsibility historical data,
Deduction of points record violating the regulations and maintenance record.It should be noted that the weight factor not limited to this of the present invention, can also be nearby vehicle
The vehicle distance data being in danger between number of times data, nearby vehicle and Current vehicle etc., that is to say, that as long as the wind with nearby vehicle
The relevant weight factor of dangerous grade belongs to protection scope of the present invention.
Further, it is the shared proportion of set weight factor distribution, nearby vehicle is calculated using weighting algorithm
Risk class fraction, and determine according to the risk class fraction calculated the risk class of nearby vehicle.Here, weighting algorithm is
Refer to the factor to different weights of distribution such as various deduction of points records violating the regulations, the maintenance records of vehicle, added up after multiplication, obtain risk etc.
Level fraction.
Vehicle drive methods of risk assessment provided in an embodiment of the present invention, it is right by receiving the video data of nearby vehicle
Video data carries out intellectual analysis and simultaneously extracts the vehicle characteristic information in video data, based on the vehicle characteristic information extracted from
The driving risk assessment data of nearby vehicle is obtained in external data base, and is judged based on the driving risk assessment data got
The risk class of nearby vehicle, is capable of the risk class of comprehensive descision nearby vehicle, therefore improves the security of vehicle drive.
Fig. 2 is the flow chart of another vehicle drive methods of risk assessment according to an exemplary embodiment.The reality
Apply example to be substantially the same as in the previous example, hereinafter will mainly describe difference, identical part will not be repeated again.
Vehicle drive methods of risk assessment provided in an embodiment of the present invention, as shown in Fig. 2 based on the driving wind got
Danger is assessed after data judge the risk class of nearby vehicle, in addition to：
Step 205：Risk class generation prompt message based on nearby vehicle, the prompt message is used to remind Current vehicle
Risk class of the driver on nearby vehicle.
In embodiments of the present invention, it is determined that after the risk class of nearby vehicle, screen display, instruction can be passed through
The modes such as lamp, voice output generate prompt message, to remind the driver of Current vehicle on the risk class of nearby vehicle.
Here, screen display mode refers to show on LCDs installing in Current vehicle, being easy to driver and see
Show the risk class information of nearby vehicle, the LCDs can be console liquid crystal display, drive recorder, car video recorder
Or independently installed display screen etc.；Indicator lamp includes red led, yellow indicator lamp and green indicating lamp, for according to periphery
The different risk class of vehicle are shown, for example, red led flicker or Chang Liang when risk class is high, when risk etc.
Level for it is middle when yellow indicator lamp flicker or Chang Liang, and risk class for it is low when green indicating lamp flicker or Chang Liang；Voice output side
Formula refers in the form of speech be reported the risk class information of nearby vehicle.
The step 101-104 in other steps 201-204 and embodiment illustrated in fig. 1 in this embodiment is essentially identical, because
Description is not repeated in this.
Nearby vehicle provided in an embodiment of the present invention drives methods of risk assessment, can be it is determined that the risk etc. of nearby vehicle
After level, prompt message is generated by modes such as screen display, indicator lamp, voice outputs, to remind the driver of Current vehicle
On the risk class of nearby vehicle, therefore the driver of Current vehicle is contributed to take measures to avoid in time, so as to reduce
The generation of traffic accident.
Hereafter by by taking the three of Current vehicle periphery cars (being represented respectively with vehicle A, vehicle B and vehicle C) as an example, pass through one
Above-mentioned vehicle drive methods of risk assessment is specifically described individual example.
First, when being travelled on road, the driver of Current vehicle utilizes the vehicle-mounted pick-up being arranged on Current vehicle
Machine collection is positioned at vehicle A, the vehicle B on Current vehicle periphery and vehicle C video data；By entering to the video data collected
Row pretreatment and intellectual analysis identify vehicle A, vehicle B and vehicle C license board information, body color, logo etc..Here, with
Illustrated exemplified by license board information, it is assumed that vehicle A is license plate number for " capital AF0236 " yellow car plate, vehicle B is license plate number
For " capital N37AG1 " blue car plate, vehicle C is that license plate number is " to make 014578 " black car plate, then believe based on more than
Ceasing (such as characters on license plate type, car plate color) can be using preliminary judgement vehicle A as oversize vehicle, and vehicle B is dilly, vehicle
C is embassy's vehicle.
Continue, sent out vehicle A, vehicle B and vehicle C license board information respectively by communications such as GPRS, 3G, 4G
Background server (background server can be central control equipment with display screen etc.) is given, the background server passes through
The external data base such as database interface and vehicle supervision department's database, vehicle maintenance centre database, insurance company database
Connection, and transfer the data message matched in the external data base with vehicle A, vehicle B and vehicle C license board information.
Further, it is assumed that risk class can be divided into " height ", " in " and " low " Three Estate, and respectively with more than 50 points,
20~50 points and 0~20 point expressions, then it is " height " to show risk class when risk class fraction is more than 50 points, works as risk
Rating fraction be 20~50 timesharing show risk class for " in ", when risk class fraction be 0~20 timesharing show risk class
For " low ".
Finally, it is assumed that risk class is made up of accident responsibility historical data, deduction of points record violating the regulations and the part of maintenance record three,
And the proportion shared by this three part is respectively 40,40 and 20.Specifically, it is assumed that 3 traffic things occurred for vehicle A in past 1 year
Therefore and the confirmation of responsibility of accident is respectively 100%, 50% and 0%, traffic accident did not occurred for vehicle B and vehicle C, then vehicle
A risk factor is 1*100%+1*50%+1*0%=1.5, and then vehicle A accident responsibility fraction is 40*1.5=60 points,
And vehicle B and vehicle C risk factor are 0, and then vehicle B and vehicle C accident responsibility fraction is 0 point；Assuming that deduction of points violating the regulations
Calculated according to every 1 point of meter 0.1 of button, and vehicle A has detained 3 points in 1 year in the past, vehicle B has detained 6 points, and vehicle C does not have deduction of points, then car
A deduction of points fraction violating the regulations is 0.1*3*40=12 points, and vehicle B deduction of points fraction violating the regulations is 0.1*6*40=24 points, vehicle C's
Deduction of points fraction violating the regulations is 0 point；Assuming that maintenance once counts 0.1 point of calculating according to every maintenance, and vehicle A enters factory's maintenance in 1 year in the past
2 times, vehicle B enters factory and repaired 6 times, and vehicle C enters factory and repaired 1 time, then vehicle A maintenance fraction is 0.1*2*20=4 points, vehicle
B maintenance fraction is 0.1*6*20=12 points, and vehicle C maintenance fraction is 0.1*1*20=2 points；As can be seen here, based on periphery
The accident responsibility fraction of vehicle, deduction of points fraction violating the regulations and maintenance fraction, using weighting algorithm, calculate vehicle A risk etc.
Level fraction is 60+12+4=76 points, and vehicle B risk class fraction is 24+12=36 points, and vehicle C risk class fraction is 2
Point, and thus judges vehicle A risk class as " height ", vehicle B risk class be " in ", vehicle C risk class is
" low ".
Following is apparatus of the present invention embodiment, can be used for performing the inventive method embodiment.It is real for apparatus of the present invention
The details not disclosed in example is applied, the inventive method embodiment is refer to.
Fig. 3 is a kind of block diagram of vehicle drive risk assessment device according to an exemplary embodiment.Such as Fig. 3 institutes
Show, the device includes：
Video data receiving module 11, is configured to obtain the week that equipment receives Current vehicle from the video data of Current vehicle
The video data of side vehicle；
Vehicle characteristic information extraction module 12, is configured to analyze video data to extract the vehicle in video data
Characteristic information；
Risk assessment data acquisition module 13 is driven, extracted vehicle characteristic information is configured to from external data base
Obtain the driving risk assessment data of nearby vehicle；And
Risk class judge module 14, the driving risk assessment data for being configured to get judges the wind of nearby vehicle
Dangerous grade.
Vehicle drive methods of risk assessment provided in an embodiment of the present invention, it is right by receiving the video data of nearby vehicle
Video data carries out intellectual analysis and simultaneously extracts the vehicle characteristic information in video data, based on the vehicle characteristic information extracted from
The driving risk assessment data of nearby vehicle is obtained in external data base, and is judged based on the driving risk assessment data got
The risk class of nearby vehicle, is capable of the risk class of comprehensive descision nearby vehicle, therefore improves the security of vehicle drive.
Fig. 4 is the block diagram of another vehicle drive risk assessment device according to an exemplary embodiment.Such as Fig. 4 institutes
Show, on the basis of the embodiment shown in above-mentioned Fig. 3, the device also includes：
Prompt message generation module 15, is configured to the risk class generation prompt message of nearby vehicle, prompting letter
The driver for reminding Current vehicle is ceased on the risk class of nearby vehicle.
Nearby vehicle provided in an embodiment of the present invention drives methods of risk assessment, can be it is determined that the risk etc. of nearby vehicle
After level, prompt message is generated by modes such as screen display, indicator lamp, voice outputs, to remind the driver of Current vehicle
On the risk class of nearby vehicle, therefore the driver of Current vehicle is contributed to take measures to avoid in time, so as to reduce
The generation of traffic accident.
The function of modules and the implementation process of effect specifically refer to correspondence step in the above method in said apparatus
Implementation process, will not be repeated here.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can be realized by software, can also be realized by way of software combines necessary hardware.Therefore, according to the present invention
The technical scheme of embodiment can be embodied in the form of software product, the software product can be stored in one it is non-volatile
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are to cause a calculating
Equipment (can be personal computer, server, mobile terminal or network equipment etc.) is performed according to embodiment of the present invention
Method.
Corresponding with Fig. 1, the embodiment of the present invention also provides a kind of vehicle drive risk evaluating system, including：Memory, place
Manage device and be stored in the memory and the executable instruction run in device can be managed in this place；Wherein, the processor is configured as：
The video data that equipment receives the nearby vehicle of Current vehicle is obtained from the video data of Current vehicle；
Video data is analyzed to extract the vehicle characteristic information in video data；
The driving risk assessment data of nearby vehicle is obtained from external data base based on the vehicle characteristic information extracted；With
And
The risk class of nearby vehicle is judged based on the driving risk assessment data got.
The embodiment of the present invention also provides a kind of computer-readable recording medium, is stored thereon with computer executable instructions,
Wherein, when the executable instruction is executed by processor, enabling perform a kind of vehicle drive methods of risk assessment, this method bag
Include：
The video data that equipment receives the nearby vehicle of Current vehicle is obtained from the video data of Current vehicle；
Video data is analyzed to extract the vehicle characteristic information in video data；
The driving risk assessment data of nearby vehicle is obtained from external data base based on the vehicle characteristic information extracted；With
And
The risk class of nearby vehicle is judged based on the driving risk assessment data got.
Those skilled in the art will readily occur to other realities of the present invention after considering specification and putting into practice disclosure herein
Apply scheme.The application is intended to any modification, purposes or the adaptations of the present invention, these modifications, purposes or suitable
The change of answering property follows the general principle of the present invention and including the undocumented common knowledge or used in the art of the present invention
Use technological means.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following right
It is required that pointing out.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present invention is only limited by appended claim.
Claims (10)
1. a kind of vehicle drive methods of risk assessment, including：
The video data that equipment receives the nearby vehicle of the Current vehicle is obtained from the video data of Current vehicle；
The video data is analyzed to extract the vehicle characteristic information in the video data；
The driving risk assessment data of the nearby vehicle is obtained from external data base based on the vehicle characteristic information extracted；With
And
The risk class of the nearby vehicle is judged based on the driving risk assessment data got.
2. vehicle drive methods of risk assessment according to claim 1, wherein, described based on the driving risk got
Assessment data judge after the risk class of the nearby vehicle that methods described also includes：
Risk class generation prompt message based on the nearby vehicle, the prompt message is used to remind the Current vehicle
Risk class of the driver on the nearby vehicle.
3. vehicle drive methods of risk assessment according to claim 1, wherein, the accident responsibility based on the nearby vehicle
Historical data, deduction of points record violating the regulations and maintenance record are weighted to determine the risk class of the nearby vehicle.
4. vehicle drive methods of risk assessment according to claim 1, wherein, the external data base includes traffic administration
Division data storehouse, vehicle maintenance centre database, insurance company database, and the driving risk assessment data is including described
Vehicle condition data, violation data, data of being in danger, the mantenance data of nearby vehicle.
5. a kind of vehicle drive risk assessment device, including：
Video data receiving module, is configured to obtain the periphery that equipment receives the Current vehicle from the video data of Current vehicle
The video data of vehicle；
Vehicle characteristic information extraction module, is configured to analyze the video data to extract the car in the video data
Characteristic information；
Risk assessment data acquisition module is driven, extracted vehicle characteristic information is configured to and obtains institute from external data base
State the driving risk assessment data of nearby vehicle；And
Risk class judge module, the driving risk assessment data for being configured to get judges the risk of the nearby vehicle
Grade.
6. vehicle drive risk assessment device according to claim 5, in addition to：
Prompt message generation module, is configured to the risk class generation prompt message of the nearby vehicle, the prompting letter
Cease risk class of the driver on the nearby vehicle for reminding the Current vehicle.
7. vehicle drive risk assessment device according to claim 5, wherein, the accident responsibility based on the nearby vehicle
Historical data, deduction of points record violating the regulations and maintenance record are weighted to determine the risk class of the nearby vehicle.
8. vehicle drive risk assessment device according to claim 5, wherein, the external data base includes traffic administration
Division data storehouse, vehicle maintenance centre database, insurance company database, and the driving risk assessment data is including described
Vehicle condition data, violation data, data of being in danger, the mantenance data of nearby vehicle.
9. a kind of vehicle drive risk evaluating system, including：Memory, processor and it is stored in the memory and can be in institute
The executable instruction run in processor is stated, wherein, such as claim is realized described in the computing device during executable instruction
Method any one of 1-4.
10. a kind of computer-readable recording medium, is stored thereon with computer executable instructions, it is characterised in that described to hold
The method as any one of claim 1-4 is realized in row instruction when being executed by processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710386159.5A CN107221196A (en) | 2017-05-26 | 2017-05-26 | Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing |
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| CN201710386159.5A CN107221196A (en) | 2017-05-26 | 2017-05-26 | Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing |
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| CN108053520A (en) * | 2018-01-15 | 2018-05-18 | 陈世辉 | A kind of intelligent processing system for traffic accident treatment |
| CN108482385A (en) * | 2018-04-18 | 2018-09-04 | 哈尔滨工业大学 | A kind of mobile unit operational risk discrimination method considering traffic environment complexity |
| CN108921418A (en) * | 2018-06-26 | 2018-11-30 | 成都爱车保信息技术有限公司 | A kind of driving methods of risk assessment based on bus location and integrated information big data |
| CN108985569A (en) * | 2018-06-15 | 2018-12-11 | 深圳市元征科技股份有限公司 | A kind of vehicle risk appraisal procedure, server |
| 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 |
| CN110310485A (en) * | 2019-04-11 | 2019-10-08 | 泰州市朗嘉尚网络科技有限公司 | Peripheral information acquires display system |
| CN110415510A (en) * | 2018-04-28 | 2019-11-05 | 江苏骏环昇旺科技产业股份有限公司 | A kind of system and judgment method for being judged to drive risk according to traffic violation |
| CN111681453A (en) * | 2020-05-13 | 2020-09-18 | 东南大学 | Automobile safety artificial intelligence housekeeper system based on big data and operation mode thereof |
| CN111824164A (en) * | 2019-04-11 | 2020-10-27 | 泰州市朗嘉尚网络科技有限公司 | Surrounding information acquisition and display method |
| CN113016016A (en) * | 2018-11-26 | 2021-06-22 | 三菱电机株式会社 | Information presentation control device, information presentation control method, program, and recording medium |
| JP2022032520A (en) * | 2020-08-12 | 2022-02-25 | ソフトバンク株式会社 | Management system, management method, management device, program and communication terminal |
| 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 |
| CN115273546A (en) * | 2022-07-25 | 2022-11-01 | 深圳市元征软件开发有限公司 | Risk prompting method, device, equipment and medium |
| CN117292540A (en) * | 2023-08-14 | 2023-12-26 | 广西交科集团有限公司 | Vehicle sideslip and rollover early warning system and method in bridge crosswind environment |
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| CN108921418A (en) * | 2018-06-26 | 2018-11-30 | 成都爱车保信息技术有限公司 | A kind of driving methods of risk assessment based on bus location and integrated information big data |
| CN108921418B (en) * | 2018-06-26 | 2022-03-25 | 成都爱车保信息技术有限公司 | Driving risk assessment method based on automobile positioning and comprehensive information big data |
| CN113016016A (en) * | 2018-11-26 | 2021-06-22 | 三菱电机株式会社 | Information presentation control device, information presentation control method, program, and recording medium |
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| JP2022032520A (en) * | 2020-08-12 | 2022-02-25 | ソフトバンク株式会社 | Management system, management method, management device, program and communication terminal |
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| CN115273546A (en) * | 2022-07-25 | 2022-11-01 | 深圳市元征软件开发有限公司 | Risk prompting method, device, equipment and medium |
| CN117292540A (en) * | 2023-08-14 | 2023-12-26 | 广西交科集团有限公司 | Vehicle sideslip and rollover early warning system and method in bridge crosswind environment |
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Application publication date: 20170929 |