CN104827963A - Method of collision avoidance and intelligent early warning for vehicle, control system and control device - Google Patents
Method of collision avoidance and intelligent early warning for vehicle, control system and control device Download PDFInfo
- Publication number
- CN104827963A CN104827963A CN201510152521.3A CN201510152521A CN104827963A CN 104827963 A CN104827963 A CN 104827963A CN 201510152521 A CN201510152521 A CN 201510152521A CN 104827963 A CN104827963 A CN 104827963A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- safety distance
- collision
- calculation
- essential information
- 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.)
- Granted
Links
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention provides a method of collision avoidance and intelligent early warning for a vehicle, a control system and a control device. A more accurate safety distance can be obtained through calculation, false warning is reduced, proper dangerous early warning can be given, safety requirements in a complicated road environment can be met, and reliability is high. The method of the invention comprises the following steps: basic vehicle information of the vehicle can be acquired; the nearest distance between the vehicle and a nearby collision avoidance object is detected; the position and the driving speed of the vehicle are detected; the basic vehicle information and the vehicle position are uploaded to a big data network platform, and a safety distance calculation rule matched with the basic vehicle information and the vehicle position is acquired from the big data network platform; according to the safety distance calculation rule and the driving speed, the safety distance between the vehicle and the nearby collision avoidance object is calculated; and early warning is given when the nearest distance is smaller than or equal to the safety distance.
Description
Technical field
The present invention relates to field of automobile safety, particularly a kind of method for collision prevention of vehicle intelligent early-warning, control system and control setup.
Background technology
Along with the quick growth of automobile pollution, automobile is bringing easily simultaneously, and the frequent of traffic accident brings many personal casualty and property damage.Traffic safety problem has become the major issue of national governments and social concerns, therefore needs research and development collision prevention of vehicle intelligent early-warning technology badly, to reduce burden and the misjudgment of chaufeur, improves traffic safety.
Existing Duo Jia research institution engages in the work of vehicle anti-collision early warning aspect both at home and abroad at present, usually various means are utilized to measure nearest spacing distance between Current vehicle and other vehicles or personage, if current nearest spacing distance is less than the safety distance avoiding shock accident occurs, then send early warning.Safety distance of the prior art normally pre-sets, and numerical value immobilizes.
But, due to the running environment of automobile, the differentiation of running state and wear and tear in machines etc., the safety distance under different sight is caused to change, if come to weigh whether safety with same safety distance all the time, early warning result is likely inaccurate, thus misled chaufeur, finally fail effectively to avoid traffic accident.
Summary of the invention
In view of this, the invention provides a kind of method for collision prevention of vehicle intelligent early-warning, control system and control setup, can calculate more accurately safety distance, send early warning more accurately.
For achieving the above object, according to a first aspect of the invention, a kind of method for collision prevention of vehicle intelligent early-warning is provided.
Method for collision prevention of vehicle intelligent early-warning of the present invention, comprising: the vehicle essential information obtaining vehicle; Detect the closest range between described vehicle and the crashproof things of neighbouring need; Detect vehicle location and the moving velocity of described vehicle; Described vehicle essential information and described vehicle location are uploaded to large data network platform, and obtains from described large data network platform the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location; The safety distance between described vehicle and the crashproof things of described need is calculated according to described Calculation of Safety Distance rule and described moving velocity; Early warning is sent when described closest range is less than or equal to described safety distance time.
Alternatively, described method also comprises: when described collision happens, obtains collision process data and then uploads to described large data network platform, then obtain from described large data platform the Calculation of Safety Distance rule drawn according to described collision process data correction.
Alternatively, described vehicle essential information comprises following one or more: vehicle model, tyre model, history mileage and use duration.
Alternatively, closest range between the described vehicle of described detection and the crashproof things of neighbouring need comprises: utilize thermal imaging to detect closest range between described vehicle and human or animal, and/or utilizes radio-frequency technique to detect closest range between described vehicle and other vehicles.
Alternatively, described collision process data comprise following one or more: impact pressure, collision relative velocity and collision damage grade.
According to a second aspect of the invention, a kind of control system for collision prevention of vehicle intelligent early-warning is provided.
Control system for collision prevention of vehicle intelligent early-warning of the present invention, comprising: acquisition of information end, for obtaining the vehicle essential information of vehicle; Distance measuring device, for detecting the closest range between described vehicle and the crashproof things of neighbouring need; Positioning-speed-measuring equipment, for detecting vehicle location and the moving velocity of described vehicle; Network communication apparatus, for described vehicle essential information and described vehicle location are uploaded to large data platform, and obtains from described large data network platform the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location; Central process unit, for calculating the safety distance between described vehicle and the crashproof things of described need according to described Calculation of Safety Distance rule and described moving velocity, and sends early warning when described closest range is less than described safety distance time; Memory device, for storing described vehicle essential information and described Calculation of Safety Distance rule.
Alternatively, described control system also comprises: collision process recording instrument, when described collision happens, described collision process recording instrument is for obtaining collision process data, and, described network communication apparatus also for by described collision process data upload to described large data network platform, then obtain from described large data platform the Calculation of Safety Distance rule drawn according to described collision process data correction.
Alternatively, described distance measuring device utilizes thermal imaging to detect closest range between described vehicle and human or animal, and/or utilizes radio-frequency technique to detect closest range between described vehicle and other vehicles.
According to a third aspect of the invention we, a kind of control setup for collision prevention of vehicle intelligent early-warning is provided.
Control setup for collision prevention of vehicle intelligent early-warning of the present invention, comprising: read module, for reading the vehicle essential information of vehicle; First data reception module, for obtaining the closest range between described vehicle and the crashproof things of neighbouring need; Second data reception module, for obtaining vehicle location and the moving velocity of described vehicle; Output module, for described vehicle essential information and described vehicle location are exported to network communication apparatus, uploads to large data network platform for described network communication apparatus; Computing rule receiver module, for the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location receiving that described network communication apparatus obtains from described large data network platform; Computing module, for calculating the safety distance between described vehicle and the crashproof things of described need according to described Calculation of Safety Distance rule and described moving velocity; Judge module, for judging whether described closest range is less than described safety distance, if so, sends early warning signal.
Alternatively, described control setup also comprises: the 3rd data reception module, when described collision happens, described 3rd data reception module is used for Receiving collision process data, and, described output module is also for exporting to described network communication apparatus by described collision process data, upload to described large data network platform for described network communication apparatus, described computing rule receiver module is also for receiving the Calculation of Safety Distance rule drawn according to described collision process data correction that described network communication apparatus obtains from described large data platform.
According to technical scheme of the present invention, obtain vehicle essential information and vehicle location and upload to large data network platform, then corresponding Calculation of Safety Distance rule is obtained from large data network platform, again moving velocity is substituted into Calculation of Safety Distance rule to calculate, thus safety distance more accurately can be obtained, and then contribute to reducing police by mistake and provide suitable danger early warning, the security needs under complicated road environment can be adapted to, there is high reliability.
Accompanying drawing explanation
Accompanying drawing is used for understanding the present invention better, does not form inappropriate limitation of the present invention.Wherein:
Fig. 1 is according to an embodiment of the invention for the schematic diagram of the basic step of the method for collision prevention of vehicle intelligent early-warning;
Fig. 2 is in accordance with another embodiment of the present invention for the schematic diagram of the basic step of the method for collision prevention of vehicle intelligent early-warning;
Fig. 3 is according to an embodiment of the invention for the schematic diagram of the major part of the control system of collision prevention of vehicle intelligent early-warning;
Fig. 4 is in accordance with another embodiment of the present invention for the schematic diagram of the major part of the control system of collision prevention of vehicle intelligent early-warning;
Fig. 5 is according to an embodiment of the invention for the schematic diagram of the main modular of the control setup of collision prevention of vehicle intelligent early-warning;
Fig. 6 is in accordance with another embodiment of the present invention for the schematic diagram of the main modular of the control setup of collision prevention of vehicle intelligent early-warning.
Detailed description of the invention
Below in conjunction with accompanying drawing, one exemplary embodiment of the present invention is explained, comprising the various details of the embodiment of the present invention to help understanding, they should be thought it is only exemplary.Therefore, those of ordinary skill in the art will be appreciated that, can make various change and amendment, and can not deviate from scope and spirit of the present invention to the embodiments described herein.Equally, for clarity and conciseness, the description to known function and structure is eliminated in following description.
Fig. 1 is according to an embodiment of the invention for the schematic diagram of the basic step of the method for collision prevention of vehicle intelligent early-warning.As shown in Figure 1, the method can comprise the steps that S11 is to step S16.
Step S11: the vehicle essential information obtaining vehicle.Vehicle essential information can be obtained by automatic acquisition mode or the manual input mode of user.The particular content of vehicle essential information can comprise following one or more: vehicle model, tyre model, history mileage and use duration etc.Vehicle essential information upgrades frequently, and such as changing of tire will change the data of tyre model.
Step S12: detect the closest range between vehicle and the crashproof things of neighbouring need.Need crashproof things can be positioned at the front of vehicle, people, animal, vehicle etc. things can be referred to.When same du vehicule has multiple needs to avoid the things clashed into, should with the nearest things from vehicle for reference to obtaining closest range.The detection means of closest range is unrestricted.Alternatively, utilize thermal imaging to detect closest range between this vehicle and human or animal, and/or utilize radio-frequency technique to detect this vehicle and the closest range between other.
Step S13: the vehicle location and the moving velocity that detect vehicle.So that send failure-free early warning, the vehicle location and the moving velocity that are detected vehicle by technology such as GPS (GlobalPositioning System, global positioning system) is needed in order to obtain accurately reasonably safety distance.Different vehicle locations means that vehicle travels on the road of different road conditions, and road conditions can have influence in order to the safety distance required for preventing from avoiding clashing into size.Such as: the same vehicle safety distance travelled when descending road surface should be greater than safety distance when travelling at level road.Moving velocity affect equally safety distance size.Such as: safety distance during same high vehicle speeds should be greater than safety distance during low speed driving.
Step S14: vehicle essential information and vehicle location are uploaded to large data network platform, and the Calculation of Safety Distance rule matched with vehicle essential information, vehicle location is obtained from large data network platform.It should be noted that, large data network platform can be the forms such as Cloud Server, wherein stores numerous Calculation of Safety Distance rules of the sight of that go out according to large digital simulation, corresponding different vehicle essential information and different vehicle position.
Particularly, the vehicle location that the vehicle essential information that can first be obtained by step S11 by various network communication means and step S13 are obtained uploads to large data network platform.Then from this large data network platform, select vehicle essential information, Calculation of Safety Distance rule that vehicle location matches get vehicle this locality.It is worthy of note, numerous Calculation of Safety Distance rule is stored in large data network platform but not is stored in vehicle this locality, be conducive to saving the storage hardware expense on vehicle.In addition, large data network platform can also call other reference informations (such as real-time weather condition), has the advantages such as abundant information is comprehensive, decision-making is carefully thought out.
It should be noted that, the concrete mathematical model in Calculation of Safety Distance rule can flexible design, usual math modeling comprises vehicle coefficient, tire coefficient, history distance factor, use in the parameters such as duration coefficient, road conditions coefficient one or more.The vehicle essential information of vehicle and vehicle position information have influence on these factor v sizes, thus have influence on the size of result of calculation (i.e. safety distance).Such as: according to vehicle coefficient and the tire coefficient of the different numerical value of test and appraisal data setting, therefore the vehicle of different vehicle model or tyre model calculates different safety distances by Calculation of Safety Distance rule.The history mileage of vehicle is longer, period of service means that in vehicle, the parts wear of speed change is aging more for a long time, therefore safety distance is proportionate usually with history mileage and use duration, i.e. Calculation of Safety Distance rule normally history mileage and the increasing function using duration.Different vehicle locations correspond to different road conditions coefficients, thus has influence on safety distance size.Alternatively, the Calculation of Safety Distance rule obtained from large data network platform it is also conceivable to current weather condition, namely can also set weather coefficient in the formula of Calculation of Safety Distance rule, thus affect safety distance numerical values recited.The safety distance calculated during usual sleety weather is more long.
Step S15: calculate vehicle according to Calculation of Safety Distance rule and moving velocity and need the safety distance between crashproof things.The shortest distance that namely safety distance needs in order to avoid occurring to clash into.To be collided when vehicle and when needing the minor increment between crashproof things to be less than shortest distance event.The process of computationally secure distance performs in vehicle this locality usually.
Step S16: send early warning when closest range is less than safety distance time.Particularly, judge closest range and safety distance magnitude relationship, if closest range is less than safety distance, then send early warning.The detailed process sending early warning can be: the early warning level signal first exporting high level, then this early warning level signal triggers loudspeaker and sends voice such as " please slow down/please brake " and carry out early warning, or early warning is carried out in the luminescence of trigger alert lamp, or trigger the early warning of acousto-optic-electric form.
In the method for collision prevention of vehicle intelligent early-warning of the embodiment of the present invention, as shown in Figure 2, can further include step S17: when a vehicle is in a collision, upload to large data network platform after obtaining collision process data, then obtain the Calculation of Safety Distance rule drawn according to collision process data correction from large data platform.Wherein, collision process data can comprise impact pressure, collision relative velocity, collision damage grade etc.Give large data network platform by these collision process data feedbacks, large data network platform can be made more to be analyzed data, be conducive to large data network platform and carry out Data Dynamic renewal, further optimization is done to Calculation of Safety Distance rule.Subsequently, obtain the Calculation of Safety Distance rule drawn according to collision process data correction from large data platform local to vehicle, can obtain revising the safety distance after optimizing at vehicle local computing, thus carry out early warning more exactly.
Fig. 3 is the schematic diagram of the major part of the control system for collision prevention of vehicle intelligent early-warning according to the embodiment of the present invention.As shown in Figure 3, this control system 20 being used for collision prevention of vehicle intelligent early-warning mainly comprises: acquisition of information end 21, distance measuring device 22, positioning-speed-measuring equipment 23, network communication apparatus 24, central process unit 25 and memory device 26.
Acquisition of information end 21 is for obtaining the vehicle essential information of vehicle.Vehicle essential information comprises following one or more: vehicle model, tyre model, history mileage and use duration etc.Vehicle essential information constantly updates, and such as changing of tire will change the data of tyre model.It should be noted that, acquisition of information end 21 can refer to that user manually inputs the input port of vehicle essential information, also can be the collection port automatically gathered.
Distance measuring device 22 is for detecting the closest range between vehicle and the crashproof things of neighbouring need.Alternatively, distance measuring device 22 utilizes thermal imaging to detect closest range between this vehicle and human or animal, and/or utilizes radio-frequency technique to detect closest range between this vehicle and other vehicles.It should be noted that, this distance measuring device 22 can be the combination of a detector or multiple detector, and their type can be identical or different.Distance measuring device 22 can be selected as required flexibly, and this is the known knowledge of those skilled in the art, is not construed as limiting herein.
Positioning-speed-measuring equipment 23 is for detecting vehicle location and moving velocity.Positioning-speed-measuring equipment can be a GPS instrument, and this GPS device utilizes GPS technology realize location simultaneously and test the speed.Positioning-speed-measuring equipment also can be the combination of location instrument (such as inertial navigator) and speed instrument (speed gauge).This is the known knowledge of those skilled in the art, is not construed as limiting herein.
Network communication apparatus 24 is connected with positioning-speed-measuring equipment 23 with acquisition of information end 21 respectively.This network communication apparatus 24 for vehicle essential information and vehicle location are uploaded to large data platform, and obtains the Calculation of Safety Distance rule matched with vehicle essential information, vehicle location from large data network platform.Preferably, the Calculation of Safety Distance rule obtained from large data network platform also considers current weather condition.
Central process unit 25 is connected with positioning-speed-measuring equipment 23 with network communication apparatus 24 respectively.Central process unit 25 for calculating vehicle according to Calculation of Safety Distance rule and moving velocity and needing the safety distance between crashproof things, and sends early warning when closest range is less than safety distance time.Particularly: central process unit 25 is first according to the moving velocity computationally secure distance that Calculation of Safety Distance rule and the positioning-speed-measuring equipment 23 of network communication apparatus 24 acquisition detect, secondly safety distance is compared size with closest range, if the time in that closest range being less than safety distance, send the early warning signal of the forms such as level signal.This early warning signal warning device triggered on vehicle sends the alarm of acousto-optic-electric form, such as, trigger loudspeaker and send voice such as " please slow down/please brake ", or triggering indicator lamp sends prompting light.
Memory device 26 is connected with central process unit 25 with acquisition of information end 21 respectively.Memory device 26 is for store car essential information and Calculation of Safety Distance rule, and the various data for relating in storage computation process.
In the control system for collision prevention of vehicle intelligent early-warning of the embodiment of the present invention, as shown in Figure 4, collision process recording instrument 27 is also comprised.Wherein, collision process recording instrument 27 is for acquisition collision process data when a vehicle is in a collision.In the control system of this embodiment, network communication apparatus 24 also for by collision process data upload to large data network platform, then obtain the Calculation of Safety Distance rule drawn according to collision process data correction from large data platform.
Fig. 5 is the schematic diagram of the major part of the control setup for collision prevention of vehicle intelligent early-warning according to the embodiment of the present invention.As shown in Figure 5, this control setup 30 being used for collision prevention of vehicle intelligent early-warning can be the form of CPU, mainly comprises as lower module: read module 31, first data reception module 32, second data reception module 33, output module 34, computing rule receiver module 35, computing module 36 and judge module 37.
Read module 31 is for reading the vehicle essential information in memory device.Vehicle essential information comprises following one or more: vehicle model, tyre model, history mileage and use duration etc.Closest range between the vehicle that first data reception module 32 provides for receiving range check implement and the crashproof things of neighbouring need.Second data reception module 33 is for the vehicle location that receives positioning-speed-measuring equipment and provide and moving velocity.Output module 34, for vehicle essential information and vehicle location are exported to network communication apparatus, uploads to large data network platform for network communication apparatus.The Calculation of Safety Distance rule that with vehicle essential information, vehicle location match of computing rule receiver module 35 for receiving that network communication apparatus obtains from large data network platform.Computing module 36 is for calculating vehicle according to Calculation of Safety Distance rule and moving velocity and needing the safety distance between crashproof things.Judge module 37, for judging whether closest range is less than safety distance, if so, sends early warning signal.
In the control setup for collision prevention of vehicle intelligent early-warning of another embodiment of the present invention, as Fig. 6 shows, also comprise and touch the 3rd data reception module 38.When a vehicle is in a collision, the collision process data that provide of the 3rd data reception module 38 Receiving collision process record instrument.In the control setup of this embodiment, output module 34, also for collision process data are exported to network communication apparatus, uploads to large data network platform for network communication apparatus.Computing rule receiver module 35 is also for receiving the Calculation of Safety Distance rule drawn according to collision process data correction that network communication apparatus obtains from large data platform.
According to the technical scheme of the embodiment of the present invention, obtain vehicle essential information and vehicle location and upload to large data network platform, then corresponding Calculation of Safety Distance rule is obtained from large data network platform, again moving velocity is substituted into Calculation of Safety Distance rule to calculate, thus safety distance more accurately can be obtained, and then contribute to reducing police by mistake and provide suitable danger early warning, the security needs under complicated road environment can be adapted to, there is high reliability.
Below describe groundwork of the present invention in conjunction with specific embodiments, in apparatus and method of the present invention, obviously, each parts or each step can decompose and/or reconfigure.These decompose and/or reconfigure and should be considered as equivalents of the present invention.Further, the step performing above-mentioned series of processes can naturally a/s order perform in chronological order, but does not need necessarily to perform according to time sequence.Some step can walk abreast or perform independently of one another.
Above-mentioned detailed description of the invention, does not form limiting the scope of the invention.It is to be understood that depend on designing requirement and other factors, various amendment, combination, sub-portfolio can be there is and substitute in those skilled in the art.Any amendment done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within scope.
Claims (10)
1. for a method for collision prevention of vehicle intelligent early-warning, it is characterized in that, comprising:
Obtain the vehicle essential information of vehicle;
Detect the closest range between described vehicle and the crashproof things of neighbouring need;
Detect vehicle location and the moving velocity of described vehicle;
Described vehicle essential information and described vehicle location are uploaded to large data network platform, and obtains from described large data network platform the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location;
The safety distance between described vehicle and the crashproof things of described need is calculated according to described Calculation of Safety Distance rule and described moving velocity;
Early warning is sent when described closest range is less than or equal to described safety distance time.
2. method according to claim 1, it is characterized in that, described method also comprises: when described collision happens, obtain collision process data and then upload to described large data network platform, then obtain from described large data platform the Calculation of Safety Distance rule drawn according to described collision process data correction.
3. method according to claim 1 and 2, is characterized in that, described vehicle essential information comprises following one or more: vehicle model, tyre model, history mileage and use duration.
4. method according to claim 1 and 2, it is characterized in that, closest range between the described vehicle of described detection and the crashproof things of neighbouring need comprises: utilize thermal imaging to detect closest range between described vehicle and human or animal, and/or utilizes radio-frequency technique to detect closest range between described vehicle and other vehicles.
5. method according to claim 2, is characterized in that, described collision process data comprise following one or more: impact pressure, collision relative velocity and collision damage grade.
6. for a control system for collision prevention of vehicle intelligent early-warning, it is characterized in that, comprising:
Acquisition of information end, for obtaining the vehicle essential information of vehicle;
Distance measuring device, for detecting the closest range between described vehicle and the crashproof things of neighbouring need;
Positioning-speed-measuring equipment, for detecting vehicle location and the moving velocity of described vehicle;
Network communication apparatus, for described vehicle essential information and described vehicle location are uploaded to large data platform, and obtains from described large data network platform the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location;
Central process unit, for calculating the safety distance between described vehicle and the crashproof things of described need according to described Calculation of Safety Distance rule and described moving velocity, and sends early warning when described closest range is less than described safety distance time;
Memory device, for storing described vehicle essential information and described Calculation of Safety Distance rule.
7. control system according to claim 6, is characterized in that, described control system also comprises:
Collision process recording instrument, when described collision happens, described collision process recording instrument for obtaining collision process data,
And, described network communication apparatus also for by described collision process data upload to described large data network platform, then obtain from described large data platform the Calculation of Safety Distance rule drawn according to described collision process data correction.
8. the control system according to claim 6 or 7, it is characterized in that, the thermal imaging that utilizes described distance measuring device detects the closest range between described vehicle and human or animal, and/or utilizes radio-frequency technique to detect closest range between described vehicle and other vehicles.
9. for a control setup for collision prevention of vehicle intelligent early-warning, it is characterized in that, comprising:
Read module, for reading the vehicle essential information of vehicle;
First data reception module, for obtaining the closest range between described vehicle and the crashproof things of neighbouring need;
Second data reception module, for obtaining vehicle location and the moving velocity of described vehicle;
Output module, for described vehicle essential information and described vehicle location are exported to network communication apparatus, uploads to large data network platform for described network communication apparatus;
Computing rule receiver module, for the Calculation of Safety Distance rule matched with described vehicle essential information, described vehicle location receiving that described network communication apparatus obtains from described large data network platform;
Computing module, for calculating the safety distance between described vehicle and the crashproof things of described need according to described Calculation of Safety Distance rule and described moving velocity;
Judge module, for judging whether described closest range is less than described safety distance, if so, sends early warning signal.
10. control setup according to claim 9, is characterized in that, described control setup also comprises:
3rd data reception module, when described collision happens, described 3rd data reception module is used for Receiving collision process data,
And described output module, also for described collision process data are exported to described network communication apparatus, uploads to described large data network platform for described network communication apparatus,
Described computing rule receiver module is also for receiving the Calculation of Safety Distance rule drawn according to described collision process data correction that described network communication apparatus obtains from described large data platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510152521.3A CN104827963B (en) | 2015-04-01 | 2015-04-01 | A kind of method, control system and control device for collision prevention of vehicle intelligent early-warning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510152521.3A CN104827963B (en) | 2015-04-01 | 2015-04-01 | A kind of method, control system and control device for collision prevention of vehicle intelligent early-warning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104827963A true CN104827963A (en) | 2015-08-12 |
| CN104827963B CN104827963B (en) | 2017-09-22 |
Family
ID=53806292
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510152521.3A Active CN104827963B (en) | 2015-04-01 | 2015-04-01 | A kind of method, control system and control device for collision prevention of vehicle intelligent early-warning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104827963B (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105225531A (en) * | 2015-09-29 | 2016-01-06 | 成都川睿科技有限公司 | A kind of intelligent transportation anti-collision equipment of usage data first in first out |
| CN105225526A (en) * | 2015-09-29 | 2016-01-06 | 成都川睿科技有限公司 | A kind of car light based on Intelligent traffic anti-collision system |
| CN105383429A (en) * | 2015-11-24 | 2016-03-09 | 大连楼兰科技股份有限公司 | Automobile rear-end collision avoidance method and automobile rear-end collision avoidance device |
| CN105513161A (en) * | 2015-11-24 | 2016-04-20 | 大连楼兰科技股份有限公司 | An event data recorder with a distance measuring function and a distance measuring method thereof |
| CN107128251A (en) * | 2017-05-11 | 2017-09-05 | 张家港工领信息科技有限公司 | A kind of collision prevention of vehicle control method |
| CN107507456A (en) * | 2017-08-11 | 2017-12-22 | 武汉雷毫科技有限公司 | Non-motor vehicle anti-collision early warning system and method |
| CN108109436A (en) * | 2018-02-07 | 2018-06-01 | 肖孟 | Vehicle high-speed safety early warning device and method |
| CN108819844A (en) * | 2018-07-18 | 2018-11-16 | 厦门镭通智能科技有限公司 | A kind of adaptive security prior-warning device and method |
| CN109523574A (en) * | 2018-12-27 | 2019-03-26 | 联想(北京)有限公司 | A kind of run trace prediction technique and electronic equipment |
| CN110886006A (en) * | 2018-09-10 | 2020-03-17 | 深圳市好天机械设备有限公司 | Electroplating production line production process flow and intelligent travelling crane anti-collision algorithm |
| CN111231881A (en) * | 2018-11-28 | 2020-06-05 | 长城汽车股份有限公司 | Safety system controller and control method of vehicle and vehicle |
| CN111845610A (en) * | 2019-04-26 | 2020-10-30 | 丰田自动车株式会社 | Vehicle control device |
| CN113947947A (en) * | 2021-10-19 | 2022-01-18 | 中国第一汽车股份有限公司 | Vehicle collision early warning method and device, electronic equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040073367A1 (en) * | 2002-10-15 | 2004-04-15 | Altan Osman D. | Threat assessment algorithm for forward collision warning |
| KR100669902B1 (en) * | 2003-12-12 | 2007-01-16 | 한국전자통신연구원 | System and Method for car safety driving information service for preventing the collision of cars using GPS |
| CN101391589A (en) * | 2008-10-30 | 2009-03-25 | 上海大学 | Vehicle intelligent alarming method and device |
| CN102390320A (en) * | 2011-08-22 | 2012-03-28 | 武汉理工大学 | Vehicle anti-collision early warning system based on vehicle-mounted sensing network |
| CN102468864A (en) * | 2010-11-18 | 2012-05-23 | 上海启电信息科技有限公司 | Vehicle-mounted wireless communication system capable of improving driving safety of vehicles |
| CN102469140A (en) * | 2010-11-18 | 2012-05-23 | 上海启电信息科技有限公司 | Vehicle-mounted wireless communication method for improving driving safety |
| CN103350670A (en) * | 2013-07-16 | 2013-10-16 | 厦门金龙联合汽车工业有限公司 | Vehicle forward collision warning method based on vehicle networking technology |
| CN103383816A (en) * | 2013-07-01 | 2013-11-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of multipurpose electronic police mixed traffic flow detection |
| CN103871243A (en) * | 2014-04-16 | 2014-06-18 | 武汉欧普威科技有限公司 | Wireless vehicle management system and method based on active safety platform |
| CN204066421U (en) * | 2014-03-11 | 2014-12-31 | 成都迪特福科技有限公司 | Strip mine vehicle anti-collision alarm early warning system |
-
2015
- 2015-04-01 CN CN201510152521.3A patent/CN104827963B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040073367A1 (en) * | 2002-10-15 | 2004-04-15 | Altan Osman D. | Threat assessment algorithm for forward collision warning |
| KR100669902B1 (en) * | 2003-12-12 | 2007-01-16 | 한국전자통신연구원 | System and Method for car safety driving information service for preventing the collision of cars using GPS |
| CN101391589A (en) * | 2008-10-30 | 2009-03-25 | 上海大学 | Vehicle intelligent alarming method and device |
| CN102468864A (en) * | 2010-11-18 | 2012-05-23 | 上海启电信息科技有限公司 | Vehicle-mounted wireless communication system capable of improving driving safety of vehicles |
| CN102469140A (en) * | 2010-11-18 | 2012-05-23 | 上海启电信息科技有限公司 | Vehicle-mounted wireless communication method for improving driving safety |
| CN102390320A (en) * | 2011-08-22 | 2012-03-28 | 武汉理工大学 | Vehicle anti-collision early warning system based on vehicle-mounted sensing network |
| CN103383816A (en) * | 2013-07-01 | 2013-11-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of multipurpose electronic police mixed traffic flow detection |
| CN103350670A (en) * | 2013-07-16 | 2013-10-16 | 厦门金龙联合汽车工业有限公司 | Vehicle forward collision warning method based on vehicle networking technology |
| CN204066421U (en) * | 2014-03-11 | 2014-12-31 | 成都迪特福科技有限公司 | Strip mine vehicle anti-collision alarm early warning system |
| CN103871243A (en) * | 2014-04-16 | 2014-06-18 | 武汉欧普威科技有限公司 | Wireless vehicle management system and method based on active safety platform |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105225531B (en) * | 2015-09-29 | 2018-09-25 | 成都川睿科技有限公司 | A kind of intelligent transportation anti-collision equipment using data first in first out |
| CN105225526A (en) * | 2015-09-29 | 2016-01-06 | 成都川睿科技有限公司 | A kind of car light based on Intelligent traffic anti-collision system |
| CN105225531A (en) * | 2015-09-29 | 2016-01-06 | 成都川睿科技有限公司 | A kind of intelligent transportation anti-collision equipment of usage data first in first out |
| CN105383429A (en) * | 2015-11-24 | 2016-03-09 | 大连楼兰科技股份有限公司 | Automobile rear-end collision avoidance method and automobile rear-end collision avoidance device |
| CN105513161A (en) * | 2015-11-24 | 2016-04-20 | 大连楼兰科技股份有限公司 | An event data recorder with a distance measuring function and a distance measuring method thereof |
| CN107128251A (en) * | 2017-05-11 | 2017-09-05 | 张家港工领信息科技有限公司 | A kind of collision prevention of vehicle control method |
| CN107507456A (en) * | 2017-08-11 | 2017-12-22 | 武汉雷毫科技有限公司 | Non-motor vehicle anti-collision early warning system and method |
| CN108109436A (en) * | 2018-02-07 | 2018-06-01 | 肖孟 | Vehicle high-speed safety early warning device and method |
| CN108819844A (en) * | 2018-07-18 | 2018-11-16 | 厦门镭通智能科技有限公司 | A kind of adaptive security prior-warning device and method |
| CN110886006A (en) * | 2018-09-10 | 2020-03-17 | 深圳市好天机械设备有限公司 | Electroplating production line production process flow and intelligent travelling crane anti-collision algorithm |
| CN111231881A (en) * | 2018-11-28 | 2020-06-05 | 长城汽车股份有限公司 | Safety system controller and control method of vehicle and vehicle |
| CN109523574A (en) * | 2018-12-27 | 2019-03-26 | 联想(北京)有限公司 | A kind of run trace prediction technique and electronic equipment |
| CN109523574B (en) * | 2018-12-27 | 2022-06-24 | 联想(北京)有限公司 | Walking track prediction method and electronic equipment |
| CN111845610A (en) * | 2019-04-26 | 2020-10-30 | 丰田自动车株式会社 | Vehicle control device |
| CN113947947A (en) * | 2021-10-19 | 2022-01-18 | 中国第一汽车股份有限公司 | Vehicle collision early warning method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104827963B (en) | 2017-09-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104827963A (en) | Method of collision avoidance and intelligent early warning for vehicle, control system and control device | |
| US10704920B2 (en) | Traffic lane guidance system for vehicle and traffic lane guidance method for vehicle | |
| US10204460B2 (en) | System for performing driver and vehicle analysis and alerting | |
| CN106240458B (en) | A kind of vehicular frontal impact method for early warning based on vehicle-mounted binocular camera | |
| CN110400478A (en) | A kind of road condition notification method and device | |
| CN111465972B (en) | System for calculating error probability of vehicle sensor data | |
| EP3420308B1 (en) | Road monitoring method and system | |
| JP6690702B2 (en) | Abnormal traveling detection device, abnormal traveling detection method and program thereof | |
| JP5017229B2 (en) | Road traffic information providing system and method | |
| CN103018754A (en) | Turning distinguishing method based on GPS (Global Position System) data | |
| CN113844444A (en) | Vehicle forward collision early warning method and device, electronic equipment and vehicle | |
| CN108490163B (en) | Road defect detection equipment, detection vehicle, detection system and detection method | |
| JP2019519850A (en) | Method, apparatus and system for detecting reverse running driver | |
| US20140279587A1 (en) | System for tracking vehicle speed violations | |
| JP2019519041A (en) | Method, apparatus and system for detecting reverse running driver | |
| CN111829548A (en) | Dangerous road segment detection method and device, readable storage medium and electronic equipment | |
| JPWO2013136778A1 (en) | Unexpected prediction sensitivity judgment device | |
| US20170292842A1 (en) | Information processing apparatus and method | |
| TW201719541A (en) | Method and system of analyzing and predicting high-risk road section by means of driving behavior utilizing an on-board unit to collect a driver's driving trajectory for analyzing bad driving behaviors and therefore learn a high-risk road section | |
| CN112356849A (en) | Early warning method and device for dangerous driving | |
| WO2015188450A1 (en) | Pre-alarm processing method and device | |
| CN109086508B (en) | Threshold value dynamic matching method for automobile emergency call system | |
| KR20160063906A (en) | Method for analysis state of vehicle, apparatus for collecting vehicle information and smart device | |
| JP6732053B2 (en) | Method, apparatus, and system for detecting reverse-drive drivers | |
| CN116001800B (en) | Vehicle driving risk information acquisition method and device, electronic equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |