CN107798915A - A kind of intelligent evaluation system for being used to predict route or travel by vehicle and anticollision - Google Patents
A kind of intelligent evaluation system for being used to predict route or travel by vehicle and anticollision Download PDFInfo
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- CN107798915A CN107798915A CN201710859973.4A CN201710859973A CN107798915A CN 107798915 A CN107798915 A CN 107798915A CN 201710859973 A CN201710859973 A CN 201710859973A CN 107798915 A CN107798915 A CN 107798915A
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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
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Abstract
The invention discloses a kind of intelligent evaluation system for being used to predict route or travel by vehicle and anticollision, including communication base station, server, and the acquisition of information and communication device being installed on corresponding vehicle;Described information obtains and communication device passes through ROLA technologies or NB IOT technical communications with communication base station, including GPS system, dipper system and IMU systems, for determining the current latitude and longitude coordinates of corresponding vehicle, Vehicle Speed, three-axis attitude angle, acceleration and corresponding vehicle and surrounding objects range information;The server receives above- mentioned information by communication base station and carries out data processing, the following driving states and route of all driving vehicles in region is predicted, and obtained result is fed back into surrounding vehicles;It is an advantage of the current invention that the security based on vehicle above- mentioned information prediction vehicle drive, and other vehicles around are fed back information to, to prompt this vehicle and surrounding vehicles to make corresponding adjustment, help driver to make workaround.
Description
Technical field
The present invention relates to a kind of intelligent evaluation system, is used to predict route or travel by vehicle and anticollision more particularly, to one kind
Intelligent evaluation system.
Background technology
Existing vehicle collision avoidance technology uses merely Radar Technology mostly, using radar detection surrounding vehicles, then will visit
Result is surveyed to be conveyed at driver.The technology exist two it is more crucial the defects of, one is the visual field of radar installations is by ring
Having a great influence for border factor, easily produces monitoring blind area, the second is the travel route of unpredictable surrounding vehicles, a certain when around
It can not be given warning in advance during the dangerous driving behavior of vehicle.
The content of the invention
The present invention seeks to:There is provided it is a kind of be used to predict the intelligent evaluation system of route or travel by vehicle and anticollision, can be with
The current latitude and longitude coordinates of the corresponding vehicle of measure, Vehicle Speed, three-axis attitude angle, acceleration and corresponding vehicle and ambient
Body range information, and the security of the information prediction vehicle drive based on the above, and other vehicles around are fed back information to, with
Prompt this vehicle and surrounding vehicles to make corresponding adjustment, help driver to make workaround.
The technical scheme is that:A kind of intelligent evaluation system for being used to predict route or travel by vehicle and anticollision, its
It is characterised by, including communication base station, server, and the acquisition of information and communication device being installed on corresponding vehicle;
Described information obtains and communication device passes through ROLA technologies or NB-IOT technical communications, including GPS with communication base station
System, dipper system and IMU systems, for determining the current latitude and longitude coordinates of corresponding vehicle, Vehicle Speed, three-axis attitude
Angle, acceleration and corresponding vehicle and surrounding objects range information;
The server receives above- mentioned information by communication base station and carries out data processing, to all driving vehicles in region
Following driving states and route be predicted, and obtained result is fed back into surrounding vehicles.
As preferable technical scheme, the intelligent evaluation system for being used to predict route or travel by vehicle and anticollision of the invention
Also include radar monitoring device and the data processor being installed on corresponding vehicle, driven by what radar monitoring device gathered in real time
Data are sailed, and it is whether safe by the distance of data processor assessment vehicle and surrounding vehicles, and whether can be sent out in the short time
Raw collision.
As preferable technical scheme, described information obtains and communication device is electrically connected with the own power system of corresponding vehicle
Connect, when a vehicle is started, activate the acquisition of information being installed on corresponding vehicle and communication device and data are passed through into communication base station
Send to server.
As preferable technical scheme, described information obtains and communication device also includes car owner's id information, and by car owner's
Driving habit is added among the factor for determining whether to bump against, and the data of driving habit, can be compared with as obtained by long term data accumulation
For the action of accurately anticipation driver's next step, the analysis of danger coefficient is included, can be by the effect of pre- anticollision
Fruit maximizes, and server receives different ID information of vehicles, to the traveling future driving states and route of all vehicles in region
It is predicted, and obtained result is fed back into surrounding vehicles.
As preferable technical scheme, when prediction has the dangerous driving behavior of vehicle and can cause collision, server will
Dangerous warning information is sent to the communication base station closed on hazardous vehicles, then sends that information to institute around by communication base station
There is vehicle, have the function that to warn car owner to pay attention to road conditions.
It is an advantage of the invention that:
1. the present invention can determine the current latitude and longitude coordinates of corresponding vehicle, Vehicle Speed, three-axis attitude angle, acceleration
And corresponding vehicle and surrounding objects range information, and information and combination existing Cloud Server car owner driving row based on more than
Analyzed for big data, predict the security of vehicle drive, and feed back information to other vehicles around, to prompt this vehicle and week
Enclose vehicle and make corresponding adjustment, help driver to make workaround.
2. the present invention can also be combined using radar with artificial intelligence, while carry out local detection and server prediction,
A double insurance is provided.
Brief description of the drawings
Below in conjunction with the accompanying drawings and embodiment the invention will be further described:
Fig. 1 is the workflow schematic diagram of the present invention;
Fig. 2 is the system schematic of the present invention;
Fig. 3 is vehicle, communication base station and the server schematic diagram of the embodiment of the present invention 1;
Fig. 4 is the algorithm schematic diagram of overtaking other vehicles of the embodiment of the present invention 1.
Embodiment
Shown in reference picture 1-2, the intelligent evaluation system for being used to predict route or travel by vehicle and anticollision of the invention, including
Communication base station, server, and the acquisition of information and communication device being installed on corresponding vehicle;The acquisition of information and communication device
With communication base station by ROLA technologies or NB-IOT technical communications, including GPS system, dipper system and IMU systems, for determining
Corresponding vehicle current latitude and longitude coordinates, Vehicle Speed, three-axis attitude angle, acceleration and corresponding vehicle and surrounding objects away from
From information;Server receives above- mentioned information by communication base station and carries out data processing, to all driving vehicles in region not
Carry out driving states and route is predicted, and obtained result is fed back into surrounding vehicles.
The intelligent evaluation system for being used to predict route or travel by vehicle and anticollision of the present invention also includes being installed on corresponding car
Radar monitoring device and data processor on, are combined, while carry out local detection kimonos using radar with artificial intelligence
Business device prediction, there is provided a double insurance.
The acquisition of information and communication device of the present invention also includes car owner's id information, and the driving habit of car owner is added and judged
Among the factor whether bumped against, the data of driving habit can accurately prejudge driving as obtained by long term data accumulation
The action of member's next step, is included the analysis of danger coefficient, can be maximized the effect of pre- anticollision, server is received
To different ID information of vehicles, the traveling future driving states and route of all vehicles in region are predicted, and will obtain
Result feed back to surrounding vehicles;And the acquisition of information and communication device electrically connect with the own power system of corresponding vehicle, when
During vehicle launch, acquisition of information and communication device that activation is installed on corresponding vehicle and by data by communication base station send to
Server, when sending information of vehicles with representing the ageing of the information from increasing type time series, if vehicle occur it is obvious
State change when, will accelerate data send frequency, when prediction have the dangerous driving behavior of vehicle and can cause collision when, clothes
Dangerous warning information is sent to the communication base station closed on hazardous vehicles by business device, then is sent that information to by communication base station
All vehicles of surrounding, have the function that to warn surrounding human pilot.
Embodiment 1:Shown in reference picture 3, it will be assumed that 1. distance that vehicle arrives base station A is A1, vehicle 1. arrive base station B away from
From for B1;2. distance that vehicle arrives base station A is A2, and 2. distance that vehicle arrives base station B is B2;3. distance that vehicle arrives base station A is
A3,3. distance that vehicle arrives base station B are B3.Because each base station can receive the information in different vehicle different time sections,
Without exception according to the time series highest one for choosing a car owner ID during selection, to represent the packet containing newest caused
Data.
Shown in reference picture 4, it will be assumed that 2. car prepares to overtake other vehicles.Now 2. car coordinate is (M, N), and 3. car coordinate is (P, Q)
Then distance of two cars along X-direction is MP, if distance of two cars along Y direction is S.2. vehicle speed vector is V2, direction is to Y
Axle positive direction, acceleration a2, direction to α ° of the Y-axis positive direction left side, 3. vehicle speed vector be V3, direction is square to Y-axis
To acceleration a3, direction is to Y-axis positive direction.We are by a2A is resolved into along x-axis and y-axis2xAnd a2yTwo acceleration
Degree, whereinWhen we set a driver and can make the threshold value of collision avoidance measure
Between t, according to formulaWhen obtained PQ values are small less than 0 and MN value
When two car body widths close, a car bumps against, and in order to leave enough remaining times, we are that PQ sets a minimum value, when
When PQ is less than this value, alarm is provided.Also need to, according to vehicle ID, consider driver's when judging whether to provide alarm
Driving habit.5. etc. 2. if 3. car collides, then 1. 4. surrounding vehicles can receive prompting.
Cloud server obtains the real-time driving data of vehicle in Fig. 3, and collects surrounding vehicles driving data and road
Shape, drawing a variety of driving data matrixes according to grid chart includes location matrix, rate matrices, acceleration matrix and direction angular moment
Battle array, and these data are passed to progress drive route prediction in the depth convolutional neural networks corresponding with vehicle ID, together
When server can store driving data matrix to database and according to the continuous self-teaching of historical data matrix, further improve deep
Convolutional network framework is spent, puies forward the prediction accuracy of neutral net.The driving behavior data of server storage magnanimity, utilize convolution god
Learn to drive rule through e-learning mode, prediction and safety evaluation are provided for follow-up drive route.
The above-described embodiments merely illustrate the principles and effects of the present invention, not for the limitation present invention.It is any ripe
Know the personage of this technology all can carry out modifications and changes under the spirit and scope without prejudice to the present invention to above-described embodiment.Cause
This, those of ordinary skill in the art is complete without departing from disclosed spirit and institute under technological thought such as
Into all equivalent modifications or change, should by the present invention claim be covered.
Claims (5)
1. a kind of be used to predict the intelligent evaluation system of route or travel by vehicle and anticollision, it is characterised in that including communication base station,
Server, and the acquisition of information and communication device being installed on corresponding vehicle;
Described information obtains and communication device and communication base station are by ROLA technologies or NB-IOT technical communications, including GPS system,
Dipper system and IMU systems, for determining the current latitude and longitude coordinates of corresponding vehicle, Vehicle Speed, three-axis attitude angle, acceleration
Degree and corresponding vehicle and surrounding objects range information;
The server receives above- mentioned information by communication base station and carries out data processing, to all driving vehicles in region not
Carry out driving states and route is predicted, and obtained result is fed back into surrounding vehicles.
2. the intelligent evaluation system according to claim 1 for being used to predict route or travel by vehicle and anticollision, its feature exist
In, in addition to the radar monitoring device and data processor being installed on corresponding vehicle.
3. the intelligent evaluation system according to claim 1 for being used to predict route or travel by vehicle and anticollision, its feature exist
In, described information obtains and communication device electrically connects with the own power system of corresponding vehicle, when a vehicle is started, activation installation
In the acquisition of information on corresponding vehicle and communication device and data are sent to server by communication base station.
4. the intelligent evaluation system according to claim 1 for being used to predict route or travel by vehicle and anticollision, its feature exist
In described information is obtained and communication device also includes car owner's id information, and the driving habit of car owner is added and determines whether to bump against
Factor among.
5. the intelligent evaluation system according to claim 1 for being used to predict route or travel by vehicle and anticollision, its feature exist
In when prediction has the dangerous driving behavior of vehicle and can cause collision, dangerous warning information is sent to and danger by server
The communication base station that vehicle closes on, then all vehicles around are sent that information to by communication base station.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109164799A (en) * | 2018-07-24 | 2019-01-08 | 江苏大学 | A kind of driving Active collision avoidance system and method |
CN109827586A (en) * | 2019-02-20 | 2019-05-31 | 百度在线网络技术(北京)有限公司 | Car speed planing method, device, equipment and computer-readable medium |
CN110223527A (en) * | 2019-06-05 | 2019-09-10 | 宝能汽车有限公司 | Vehicle and its method for early warning and device |
CN111376914A (en) * | 2018-12-28 | 2020-07-07 | 深圳市广和通无线股份有限公司 | Driving reminding method and driving reminding system based on NB-IOT |
CN112106126A (en) * | 2018-05-10 | 2020-12-18 | 巴斯蒂安·比彻姆 | Method and system for collision avoidance of vehicle and pedestrian |
CN112435467A (en) * | 2020-11-05 | 2021-03-02 | 易显智能科技有限责任公司 | Method and device for sensing driving behavior data of motor vehicle |
CN112534485A (en) * | 2018-08-22 | 2021-03-19 | 三菱电机株式会社 | Course prediction device, course prediction program, and course prediction method |
CN115035706A (en) * | 2021-03-03 | 2022-09-09 | 丰田自动车株式会社 | Vehicle control method, vehicle control system, and information processing device |
CN115331446A (en) * | 2022-10-13 | 2022-11-11 | 浙江云针信息科技有限公司 | Vehicle safe driving strategy generation method and device, storage medium and terminal |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1745316A (en) * | 2003-01-28 | 2006-03-08 | 丰田自动车株式会社 | Collision prediction equipment and collision prediction method |
CN102800214A (en) * | 2012-08-27 | 2012-11-28 | 武汉大学 | Vehicle lane change conflict resolution method under vehicle information interaction condition |
CN103531042A (en) * | 2013-10-25 | 2014-01-22 | 吉林大学 | Rear-end collision pre-warning method based on driver types |
US8773281B2 (en) * | 2009-09-15 | 2014-07-08 | Ohanes D. Ghazarian | Intersection vehicle collision avoidance system |
CN104508729A (en) * | 2012-08-07 | 2015-04-08 | 索尼公司 | Information processing device, information processing method, and information processing system |
CN105810012A (en) * | 2014-12-29 | 2016-07-27 | 中国移动通信集团公司 | Method and device of vehicle collision warning based on vehicle-borne terminal |
CN105894857A (en) * | 2016-06-08 | 2016-08-24 | 吉林大学 | Signal lamp-free intersection automobile emergency collision avoidance system |
CN106023647A (en) * | 2016-05-05 | 2016-10-12 | 苏州京坤达汽车电子科技有限公司 | Driving habit and state self-adaptive vehicle safety distance early-warning control device |
CN106530834A (en) * | 2016-12-29 | 2017-03-22 | 武汉七环电气股份有限公司 | Vehicle behavior management system and management method |
-
2017
- 2017-09-21 CN CN201710859973.4A patent/CN107798915A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1745316A (en) * | 2003-01-28 | 2006-03-08 | 丰田自动车株式会社 | Collision prediction equipment and collision prediction method |
CN100374876C (en) * | 2003-01-28 | 2008-03-12 | 丰田自动车株式会社 | Collision predicting apparatus and collision predicting method |
US8773281B2 (en) * | 2009-09-15 | 2014-07-08 | Ohanes D. Ghazarian | Intersection vehicle collision avoidance system |
CN104508729A (en) * | 2012-08-07 | 2015-04-08 | 索尼公司 | Information processing device, information processing method, and information processing system |
CN102800214A (en) * | 2012-08-27 | 2012-11-28 | 武汉大学 | Vehicle lane change conflict resolution method under vehicle information interaction condition |
CN103531042A (en) * | 2013-10-25 | 2014-01-22 | 吉林大学 | Rear-end collision pre-warning method based on driver types |
CN105810012A (en) * | 2014-12-29 | 2016-07-27 | 中国移动通信集团公司 | Method and device of vehicle collision warning based on vehicle-borne terminal |
CN106023647A (en) * | 2016-05-05 | 2016-10-12 | 苏州京坤达汽车电子科技有限公司 | Driving habit and state self-adaptive vehicle safety distance early-warning control device |
CN105894857A (en) * | 2016-06-08 | 2016-08-24 | 吉林大学 | Signal lamp-free intersection automobile emergency collision avoidance system |
CN106530834A (en) * | 2016-12-29 | 2017-03-22 | 武汉七环电气股份有限公司 | Vehicle behavior management system and management method |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112106126A (en) * | 2018-05-10 | 2020-12-18 | 巴斯蒂安·比彻姆 | Method and system for collision avoidance of vehicle and pedestrian |
CN112106126B (en) * | 2018-05-10 | 2022-02-25 | 巴斯蒂安·比彻姆 | Method and system for collision avoidance of vehicle and pedestrian |
CN109164799A (en) * | 2018-07-24 | 2019-01-08 | 江苏大学 | A kind of driving Active collision avoidance system and method |
CN112534485B (en) * | 2018-08-22 | 2022-08-02 | 三菱电机株式会社 | Course prediction device, computer-readable recording medium, and course prediction method |
CN112534485A (en) * | 2018-08-22 | 2021-03-19 | 三菱电机株式会社 | Course prediction device, course prediction program, and course prediction method |
CN111376914A (en) * | 2018-12-28 | 2020-07-07 | 深圳市广和通无线股份有限公司 | Driving reminding method and driving reminding system based on NB-IOT |
CN109827586B (en) * | 2019-02-20 | 2022-03-22 | 百度在线网络技术(北京)有限公司 | Method, device and equipment for planning speed of automatic driving vehicle |
CN109827586A (en) * | 2019-02-20 | 2019-05-31 | 百度在线网络技术(北京)有限公司 | Car speed planing method, device, equipment and computer-readable medium |
CN110223527A (en) * | 2019-06-05 | 2019-09-10 | 宝能汽车有限公司 | Vehicle and its method for early warning and device |
CN112435467A (en) * | 2020-11-05 | 2021-03-02 | 易显智能科技有限责任公司 | Method and device for sensing driving behavior data of motor vehicle |
CN115035706A (en) * | 2021-03-03 | 2022-09-09 | 丰田自动车株式会社 | Vehicle control method, vehicle control system, and information processing device |
CN115035706B (en) * | 2021-03-03 | 2024-01-16 | 丰田自动车株式会社 | Vehicle control method, vehicle control system, and information processing apparatus |
CN115331446A (en) * | 2022-10-13 | 2022-11-11 | 浙江云针信息科技有限公司 | Vehicle safe driving strategy generation method and device, storage medium and terminal |
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