CN110126734A - A kind of collision early warning system being directed to Vehicular visual blind area, device and method - Google Patents
A kind of collision early warning system being directed to Vehicular visual blind area, device and method Download PDFInfo
- Publication number
- CN110126734A CN110126734A CN201910492210.XA CN201910492210A CN110126734A CN 110126734 A CN110126734 A CN 110126734A CN 201910492210 A CN201910492210 A CN 201910492210A CN 110126734 A CN110126734 A CN 110126734A
- Authority
- CN
- China
- Prior art keywords
- blind area
- barrier
- early warning
- vehicular visual
- visual blind
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/8093—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for obstacle warning
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
This application discloses a kind of collision early warning systems for being directed to Vehicular visual blind area, comprising: trailer-mounted radar, for carrying out radar detection to the barrier in Vehicular visual blind area；Vehicle-mounted camera, for shooting the video pictures in Vehicular visual blind area；The microprocessor being connect respectively with trailer-mounted radar and vehicle-mounted camera, for determining that there are after barrier in Vehicular visual blind area in trailer-mounted radar, image recognition carried out to the video pictures that receive, and when determining barrier for moving obstacle, generates and sends alarm signal to alarm；The alarm being connect with microprocessor, for being alerted according to alarm signal.The application combination radar detection and image recognition significantly reduce the rate of false alarm of anticollision early warning, have ensured traffic safety, it can be achieved that automatic identification and alarm to moving obstacle.Disclosed herein as well is a kind of anticollision method for early warning for being directed to Vehicular visual blind area and equipment, equally have above-mentioned beneficial effect.
Description
Technical field
This application involves photoelectric detection technical field, in particular to a kind of anticollision early warning for being directed to Vehicular visual blind area
System, device and method.
Background technique
Vehicle blind zone is the big problem in traffic safety.Particularly, the engineering truck tall and big for vehicle is (as large size is hung
Vehicle, excavator, bull-dozer, electric power rush-repair vehicle, electric welding engineering truck, sewage treatment project vehicle etc.) for, because its vehicle blind zone is obvious
Greater than small vehicle, therefore nearly there is 30% engineering truck traffic accident to all originate from vision dead zone.It is directed to the problem, existing skill
Mostly use radar detedtor to carrying out detections of radar in vehicle blind zone in art, so as to when there is object closely close to vehicle to driving
The person's of sailing alarm prompt.However, often there is wrong report phenomenon in practical applications in radar system, this is because radar detedtor can not
The effectively static-obstacle things such as moving obstacles and green plants such as identification Pedestrians and vehicles.Such high rate of false alarm will lead to driver's mistake
The trust to alarming result is gone, is easy to induce traffic accident instead.In consideration of it, providing a kind of scheme for solving above-mentioned technical problem
It is that those skilled in the art need concern.
Summary of the invention
The application's is designed to provide a kind of collision early warning system for being directed to Vehicular visual blind area, equipment and side
Method, to effectively improve the accuracy of anticollision early warning, guarantee driving safety.
In order to solve the above technical problems, in a first aspect, this application discloses a kind of anti-collisions for being directed to Vehicular visual blind area
Hit early warning system, comprising:
Trailer-mounted radar, for carrying out radar detection to the barrier in Vehicular visual blind area；
Vehicle-mounted camera, for shooting the video pictures in Vehicular visual blind area；
The microprocessor being connect respectively with the trailer-mounted radar and the vehicle-mounted camera, for sentencing in the trailer-mounted radar
Determine to carry out image recognition to the video pictures received, and determining institute there are after barrier in Vehicular visual blind area
State barrier be moving obstacle when, generate and send alarm signal to alarm；
The alarm being connect with the microprocessor, for being alerted according to the alarm signal.
Optionally, the microprocessor is also used to before carrying out image recognition to the video pictures received, right
The video pictures carry out image enhancement processing.
Optionally, it is moving obstacle that the microprocessor, which is specifically used for calculating the barrier in the video pictures,
The first probability value determine the barrier for moving obstacle if first probability value is greater than default recognition threshold.
Optionally, the microprocessor is specifically used for obtaining Vehicle Speed, and speed will be moved in the video pictures
It spends the object different from the Vehicle Speed and is determined as the barrier.
Optionally, the microprocessor is also used to after determining the barrier for moving obstacle, is obtained radar and is visited
Collision probability value, first probability value and vehicle driving parameter are surveyed, the neural network model that training generates in advance, meter are called
The dangerous probability value with moving obstacle collision is calculated, if the danger probability value is greater than default danger threshold, is generated simultaneously
The alarm signal is sent to the alarm.
It optionally, further include the display being connect with the microprocessor, the microprocessor is also used to described in the judgement
Dangerous probability value is greater than after default danger threshold, and the judgement result and obstacle position information are sent to the display
Device is shown.
Optionally, the alarm includes any of the following or any combination: indicator light, speech synthesizer, vibration
Device.
Second aspect, present invention also provides a kind of anticollision method for early warning for being directed to Vehicular visual blind area, comprising:
Receive the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area；
Judge that whether there are obstacles in Vehicular visual blind area；
If so, receiving the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting；
Image recognition is carried out to the video pictures；
Judge whether the barrier is moving obstacle；
If so, generating and sending alarm signal to alarm.
Optionally, after determining the barrier for moving obstacle, further includes:
Obtain radar detection collision probability value and vehicle driving parameter；
Obtain the first probability value that the barrier is moving obstacle；
Call the neural network model that training generates in advance；
Calculate the dangerous probability value with moving obstacle collision；
Judge whether the dangerous probability value is greater than default danger threshold；
If so, continuing to execute described the step of generating and sending alarm signal to alarm.
The third aspect, present invention also provides a kind of anticollision sources of early warning for being directed to Vehicular visual blind area, comprising:
Memory, for storing computer program；
Processor, for executing the computer program to realize following steps:
Receive the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area；Judge that Vehicular visual is blind
Whether there are obstacles in area；If so, receiving the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting；To described
Video pictures carry out image recognition；Judge whether the barrier is moving obstacle；If so, generating and sending alarm signal
To alarm.
The collision early warning system for being directed to Vehicular visual blind area provided herein includes: trailer-mounted radar, for pair
Barrier in Vehicular visual blind area carries out radar detection；Vehicle-mounted camera, for shooting the video figure in Vehicular visual blind area
Piece；The microprocessor being connect respectively with the trailer-mounted radar and the vehicle-mounted camera, for determining vehicle in the trailer-mounted radar
There are after barrier in blind area, image recognition is carried out to the video pictures received, and determining the barrier
Hinder object be moving obstacle when, generate and send alarm signal to alarm；The alarm connecting with the microprocessor, is used for
It is alerted according to the alarm signal.As it can be seen that the application carries out image on the basis of radar detection result, using camera
Identification, so as to efficiently identify out detections of radar to barrier whether be moving obstacle, and can realize to moving disorder
The automatic identification and automatic alarm of object, significantly reduce the rate of false alarm of anticollision early warning afterwards, and driver is closed without diverting one's attention
Infuse screen display content, effective guarantee traffic safety.The anticollision for being directed to Vehicular visual blind area provided herein is pre-
Alarm method and equipment equally have above-mentioned beneficial effect.
Detailed description of the invention
In order to illustrate more clearly of the technical solution in the prior art and the embodiment of the present application, below will to the prior art and
Attached drawing to be used is needed to make brief introduction in the embodiment of the present application description.Certainly, in relation to the attached drawing of the embodiment of the present application below
A part of the embodiment in only the application of description is not paying creativeness to those skilled in the art
Under the premise of labour, other attached drawings can also be obtained according to the attached drawing of offer, other accompanying drawings obtained also belong to the application
Protection scope.
Fig. 1 is a kind of structural block diagram of the collision early warning system for being directed to Vehicular visual blind area provided herein；
Fig. 2 is another structural frames of the collision early warning system for being directed to Vehicular visual blind area provided herein
Figure；
Fig. 3 is the anticollision method for early warning for being directed to Vehicular visual blind area provided herein in a specific embodiment
In flow chart；
Fig. 4 is the anticollision method for early warning for being directed to Vehicular visual blind area provided herein in another specific embodiment party
Flow chart in formula；
Fig. 5 is a kind of structural block diagram of the anticollision source of early warning for being directed to Vehicular visual blind area provided herein.
Specific embodiment
The core of the application is to provide a kind of collision early warning system for being directed to Vehicular visual blind area, equipment and side
Method, to effectively improve the accuracy of anticollision early warning, guarantee driving safety.
In order to which technical solutions in the embodiments of the present application is more clearly and completely described, below in conjunction with this Shen
Please attached drawing in embodiment, technical solutions in the embodiments of the present application is introduced.Obviously, described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
The embodiment of the present application discloses a kind of collision early warning system for being directed to Vehicular visual blind area, shown referring to Fig.1,
It specifically includes that
Trailer-mounted radar 1, for carrying out radar detection to the barrier in Vehicular visual blind area；
Vehicle-mounted camera 2, for shooting the video pictures in Vehicular visual blind area；
The microprocessor 3 being connect respectively with trailer-mounted radar 1 and vehicle-mounted camera 2, for determining vehicle view in trailer-mounted radar 1
There are after barrier in wild blind area, image recognition is carried out to the video pictures received, and determining barrier for mobile barrier
When hindering object, alarm signal is generated and sent to alarm 4；
The alarm 4 being connect with microprocessor 3, for being alerted according to alarm signal.
Specifically, the anticollision early warning in the application is primarily directed to moving obstacle, such as unexpected appearance or speed change
Pedestrian, animal, other vehicles etc..In vehicle travel process, these moving obstacles are real more danger, need strongly
It avoids；And the presence for the static-obstacle things such as such as flowers and plants, building, vehicle driver often know what's what, and can voluntarily sentence
Disconnected avoidance.
Due to individually the method for radar detection being used to easily cause false alarm, that is, by some such as flowers and plants static-obstacle things
Also it is alarmed as dangerous obstacles, is easy the trust for enabling driver lose to collision early warning system, therefore, this Shen
The radar exploration technique and visual pattern identification technology are please specifically combined, the anticollision being provided commonly in Vehicular visual blind area is pre-
It is alert, to realize the purpose for reducing rate of false alarm.
Since vehicle is especially in lane change or turning in the process of moving, blind area is concentrated mainly on vehicle
Left back and right back etc., therefore, trailer-mounted radar 1 can specifically be respectively arranged in left and right vehicle wheel two sides, such as the left back view of vehicle
The lower cover area of mirror, right rear view mirror, search coverage are respectively the left back blind area of vehicle, right back blind area.Similarly, vehicle-mounted to take the photograph
Under the left and right sides that vehicle can be specifically respectively arranged in as first 2, such as the left-hand mirror of vehicle, right rear view mirror, respectively to vehicle
Left back blind area, right back blind area carry out picture shooting.
Trailer-mounted radar 1 is connect with microprocessor 3, the result of radar detection can be transmitted to microprocessor 3.When according to radar
After there is barrier in detection of the backscatter signal to radar detection area, microprocessor 3 will call vehicle-mounted camera 2 to be clapped
The video pictures in Vehicular visual blind area taken the photograph, and image recognition is carried out to the barrier.If the barrier is identified as moving
Dynamic barrier, then microprocessor 3 will send alarm signal to alarm 4, be alerted from alarm 4 to driver, prompting vehicle
There is the moving obstacle there are risk of collision in blind area.
It is easily understood that the alarm mode of alarm 4 can be specifically using following any one or any combination: by referring to
Show that lamp carries out light flash alarm, carries out phonic warning by speech synthesizer, carries out vibration alarm by vibrator.Certainly, ability
Field technique personnel can further directed in different blind areas, even different types of moving obstacle, be respectively set different
Alarm 4 carries out personalized alarm, and the application is not limited thereto.
The collision early warning system for being directed to Vehicular visual blind area provided herein includes: trailer-mounted radar, for pair
Barrier in Vehicular visual blind area carries out radar detection；Vehicle-mounted camera, for shooting the video figure in Vehicular visual blind area
Piece；The microprocessor being connect respectively with trailer-mounted radar and vehicle-mounted camera, for determining in Vehicular visual blind area in trailer-mounted radar
There are after barrier, image recognition carried out to the video pictures received, and when determining barrier for moving obstacle, it is raw
At and send alarm signal to alarm；The alarm being connect with microprocessor, for being alerted according to alarm signal.It can
See, the application carries out image recognition on the basis of radar detection result, using camera, so as to efficiently identify out radar
Whether the barrier detected is moving obstacle, and can realize the automatic identification and automatic alarm to moving obstacle, afterwards
Significantly reduce the rate of false alarm of anticollision early warning, driver is without diverting one's attention to pay close attention to screen display content, effective guarantee row
Vehicle safety.
The collision early warning system for being directed to Vehicular visual blind area provided herein, on the basis of the above,
As a kind of preferred embodiment, microprocessor 3 is also used to before carrying out image recognition to the video pictures received, to video
Picture carries out image enhancement processing.
Specifically, by carrying out image enhancement processing, the accuracy of identification of image can be effectively improved, anticollision is further decreased
The rate of false alarm of early warning.
The collision early warning system for being directed to Vehicular visual blind area provided herein, on the basis of the above,
As a kind of preferred embodiment, it is the first of moving obstacle that microprocessor 3, which is specifically used for calculating the barrier in video pictures,
Probability value determines barrier for moving obstacle if the first probability value is greater than default recognition threshold.
Specifically, in the present embodiment, microprocessor 3, can be according to default knowledge when carrying out image recognition to video pictures
Other threshold value is judged.If the first probability value that the barrier in video pictures is moving obstacle is greater than default recognition threshold,
It can then assert that the barrier is moving obstacle.
The collision early warning system for being directed to Vehicular visual blind area provided herein, on the basis of the above,
As a kind of preferred embodiment, microprocessor 3 is specifically used for obtaining Vehicle Speed, and by movement velocity in video pictures with
The different object of Vehicle Speed is determined as barrier.
Specifically, in the present embodiment, microprocessor 3 passes through the image letter in the video pictures on analysis different time line
Breath, in conjunction with Vehicle Speed, can using the Moving Objects different from Vehicle Speed as investigation object, that is, barrier, with
Just further identify whether as moving obstacle.
The collision early warning system for being directed to Vehicular visual blind area provided herein, on the basis of the above,
As a kind of preferred embodiment, microprocessor 3 is also used to after determining barrier for moving obstacle, is obtained radar detection and is touched
Probability value, the first probability value and vehicle driving parameter are hit, the neural network model that training generates in advance is called, is calculated and mobile
The dangerous probability value of barrier collision generates and sends alarm signal and extremely reports if dangerous probability value is greater than default danger threshold
Alert device 4.
Specifically, radar detection to barrier when can provide analysis as a result, including radar detection collision probability value, be
The probability assessment that radar collides for vehicle and barrier.First probability value is the probability to barrier for moving obstacle
Assessment, after obtaining the first probability value, can obtain more accurate early warning result with further progress data fusion.
Wherein, neural network optimization method can be used in fusion method.Specifically, many experiments can be combined to test number in advance
According to, train the neural network model for Comprehensive Evaluation, input include radar detection collision probability value, the first probability value and
Vehicle driving parameter exports the dangerous probability value that moving obstacle and vehicle to obtain after Comprehensive Evaluation collide.Once
The danger probability value exceeds default danger threshold, then can be alarmed from alarm 4 to driver.Described vehicle driving parameter pushes away
Recommend but be not limited to Vehicle Speed, steering state, advance/state of rolling backward etc..
Referring to FIG. 2, Fig. 2 is the another of the collision early warning system for being directed to Vehicular visual blind area provided herein
Kind structural block diagram.
As shown in Fig. 2, the collision early warning system for being directed to Vehicular visual blind area provided herein, in above content
On the basis of, it further include the display 5 being connect with microprocessor 3 as a kind of preferred embodiment, microprocessor 3 is also used to
Determine that dangerous probability value is greater than after default danger threshold, will determine that result and obstacle position information are sent to display 5
It is shown.
The anticollision method for early warning for being directed to Vehicular visual blind area provided herein is introduced below.With reference to figure
3, Fig. 3 be the stream of the anticollision method for early warning for being directed to Vehicular visual blind area provided herein in a specific embodiment
Cheng Tu is mainly comprised the steps that
S11: the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area is received.
S12: judge that whether there are obstacles in Vehicular visual blind area；If so, into S13.
S13: the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting are received.
S14: image recognition is carried out to video pictures.
S15: whether disturbance in judgement object is moving obstacle；If so, into S16.
S16: alarm signal is generated and sent to alarm.
As it can be seen that the anticollision method for early warning for being directed to Vehicular visual blind area provided herein, in radar detection result
On the basis of, using camera carry out image recognition, so as to efficiently identify out detections of radar to barrier whether be shifting
Dynamic barrier, and can realize to the automatic identification and automatic alarm of moving obstacle, anticollision early warning is significantly reduced afterwards
Rate of false alarm, driver is without diverting one's attention to pay close attention to screen display content, effective guarantee traffic safety.
With reference to Fig. 4, Fig. 4 is the anticollision method for early warning for being directed to Vehicular visual blind area provided herein in another tool
Flow chart in body embodiment, mainly comprises the steps that
S21: the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area is received.
S22: judge in Vehicular visual blind area with the presence or absence of the barrier that movement velocity is different from Vehicle Speed；If
It is then to enter S23.
S23: the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting are received.
S24: image enhancement processing is carried out to video pictures.
S25: carrying out image recognition to video pictures, and calculate that the barrier in video pictures is moving obstacle first is general
Rate value.
S26: judge whether the first probability value is greater than default recognition threshold；If so, into S27.
S27: calling the neural network model that training generates in advance, inputs radar detection collision probability value, the first probability value
And vehicle driving parameter, calculate the dangerous probability value with moving obstacle collision.
S28: judge whether dangerous probability value is greater than default danger threshold；If so, into S29.
S29: alarm signal is generated and sent to alarm.
The anticollision source of early warning for being directed to Vehicular visual blind area provided herein is introduced below.It please refers to
Fig. 5, Fig. 5 are a kind of structural block diagram of the anticollision source of early warning for being directed to Vehicular visual blind area provided herein, comprising:
Memory 51, for storing computer program；
Processor 52, for executing the computer program to realize following steps:
Receive the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area；Judge that Vehicular visual is blind
Whether there are obstacles in area；If so, receiving the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting；To video
Picture carries out image recognition；Whether disturbance in judgement object is moving obstacle；If so, generating and sending alarm signal to alarm
Device.
As it can be seen that the anticollision source of early warning for being directed to Vehicular visual blind area provided herein, in radar detection result
On the basis of, using camera carry out image recognition, so as to efficiently identify out detections of radar to barrier whether be shifting
Dynamic barrier, and can realize to the automatic identification and automatic alarm of moving obstacle, anticollision early warning is significantly reduced afterwards
Rate of false alarm, driver is without diverting one's attention to pay close attention to screen display content, effective guarantee traffic safety.
The specific embodiment of the anticollision method for early warning for being directed to Vehicular visual blind area and equipment provided herein
Reference can be corresponded to each other with the collision early warning system as described above for being directed to Vehicular visual blind area, it is just no longer superfluous here
It states.
Each embodiment is described in a progressive manner in the application, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For method disclosed in embodiment
Speech, since it is corresponding with system disclosed in embodiment, so being described relatively simple, related place is referring to method part illustration
?.
It should be noted that in present specification, the relational terms of such as " first " and " second " etc are used merely to
One entity or operation and another entity or operate is distinguished, without necessarily requiring or implying these entities or
There are any actual relationship or orders between person's operation.In addition, the terms "include", "comprise" or its any other
Variant is intended to non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only
It including those elements, but also including other elements that are not explicitly listed, or further include for this process, method, object
Product or the intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...",
It is not precluded in the process, method, article or apparatus that includes the element that there is also other identical elements.
Technical solution provided herein is described in detail above.Specific case used herein is to this Shen
Principle and embodiment please is expounded, the present processes that the above embodiments are only used to help understand and its
Core concept.It should be pointed out that for those skilled in the art, in the premise for not departing from the application principle
Under, can also to the application, some improvement and modification can also be carried out, these improvement and modification are also fallen into the protection scope of the application.
Claims (10)
1. a kind of collision early warning system for being directed to Vehicular visual blind area characterized by comprising
Trailer-mounted radar, for carrying out radar detection to the barrier in Vehicular visual blind area；
Vehicle-mounted camera, for shooting the video pictures in Vehicular visual blind area；
The microprocessor being connect respectively with the trailer-mounted radar and the vehicle-mounted camera, for determining vehicle in the trailer-mounted radar
There are after barrier in blind area, image recognition is carried out to the video pictures received, and determining the barrier
Hinder object be moving obstacle when, generate and send alarm signal to alarm；
The alarm being connect with the microprocessor, for being alerted according to the alarm signal.
2. collision early warning system according to claim 1, which is characterized in that the microprocessor is also used to reception
Before the video pictures arrived carry out image recognition, image enhancement processing is carried out to the video pictures.
3. collision early warning system according to claim 1, which is characterized in that the microprocessor is specifically used for calculating institute
The first probability value that the barrier in video pictures is moving obstacle is stated, if first probability value is greater than default identification
Threshold value then determines the barrier for moving obstacle.
4. collision early warning system according to claim 3, which is characterized in that the microprocessor is specifically used for obtaining vehicle
Travel speed, and the object different from the Vehicle Speed of movement velocity in the video pictures is determined as the barrier
Hinder object.
5. collision early warning system according to claim 4, which is characterized in that the microprocessor is also used to determining institute
Stating barrier is acquisition radar detection collision probability value, first probability value and vehicle driving ginseng after moving obstacle
Number calls the neural network model that training generates in advance, the dangerous probability value with moving obstacle collision is calculated, if described
Dangerous probability value is greater than default danger threshold, then generates and sends the alarm signal to the alarm.
6. collision early warning system according to claim 5, which is characterized in that further include being connect with the microprocessor
Display, the microprocessor is also used to after determining that the dangerous probability value is greater than default danger threshold, by the judgement
As a result and obstacle position information is sent to the display and is shown.
7. collision early warning system according to any one of claims 1 to 6, which is characterized in that the alarm include with
Descend any one or any combination:
Indicator light, speech synthesizer, vibrator.
8. a kind of anticollision method for early warning for being directed to Vehicular visual blind area characterized by comprising
Receive the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area；
Judge that whether there are obstacles in Vehicular visual blind area；
If so, receiving the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting；
Image recognition is carried out to the video pictures；
Judge whether the barrier is moving obstacle；
If so, generating and sending alarm signal to alarm.
9. anticollision method for early warning according to claim 8, which is characterized in that determining that the barrier is moving disorder
After object, further includes:
Obtain radar detection collision probability value and vehicle driving parameter；
Obtain the first probability value that the barrier is moving obstacle；
Call the neural network model that training generates in advance；
Calculate the dangerous probability value with moving obstacle collision；
Judge whether the dangerous probability value is greater than default danger threshold；
If so, continuing to execute described the step of generating and sending alarm signal to alarm.
10. a kind of anticollision source of early warning for being directed to Vehicular visual blind area characterized by comprising
Memory, for storing computer program；
Processor, for executing the computer program to realize following steps:
Receive the radar detection result that trailer-mounted radar is directed to the barrier in Vehicular visual blind area；Judge in Vehicular visual blind area
Whether there are obstacles；If so, receiving the video pictures in the Vehicular visual blind area of vehicle-mounted camera shooting；To the video
Picture carries out image recognition；Judge whether the barrier is moving obstacle；If so, generating and sending alarm signal to report
Alert device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910492210.XA CN110126734A (en) | 2019-06-06 | 2019-06-06 | A kind of collision early warning system being directed to Vehicular visual blind area, device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910492210.XA CN110126734A (en) | 2019-06-06 | 2019-06-06 | A kind of collision early warning system being directed to Vehicular visual blind area, device and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110126734A true CN110126734A (en) | 2019-08-16 |
Family
ID=67580690
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910492210.XA Pending CN110126734A (en) | 2019-06-06 | 2019-06-06 | A kind of collision early warning system being directed to Vehicular visual blind area, device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110126734A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112009416A (en) * | 2020-08-11 | 2020-12-01 | 广州汽车集团股份有限公司 | Vehicle protection method and system and automobile |
| CN112172670A (en) * | 2020-10-19 | 2021-01-05 | 广州优创电子有限公司 | Image recognition-based rear view image display method and device |
| CN112477854A (en) * | 2020-11-20 | 2021-03-12 | 上善智城(苏州)信息科技有限公司 | Monitoring and early warning device and method based on vehicle blind area |
| CN112967419A (en) * | 2021-02-01 | 2021-06-15 | 湖南汽车工程职业学院 | Can provide video vehicle event data recorder of field of vision blind area |
| CN113572842A (en) * | 2021-07-23 | 2021-10-29 | 重庆智和慧创科技有限公司 | Car road is anticollision system in coordination based on car networking |
| CN113744565A (en) * | 2021-09-06 | 2021-12-03 | 北京百度网讯科技有限公司 | Collision early warning method and device, electronic equipment and automatic driving vehicle |
| CN115691221A (en) * | 2022-12-16 | 2023-02-03 | 山东矩阵软件工程股份有限公司 | Vehicle early warning method, vehicle early warning system and related device |
| CN115923657A (en) * | 2023-03-13 | 2023-04-07 | 威海爱思特传感技术有限公司 | Reversing blind area monitoring method and system based on ultrasonic radar |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070153085A1 (en) * | 2006-01-02 | 2007-07-05 | Ching-Shan Chang | Rear-view mirror with front and rear bidirectional lens and screen for displaying images |
| CN105857178A (en) * | 2016-04-13 | 2016-08-17 | 天瀚科技(吴江)有限公司 | Real-time recording blind spot detection warning system and method |
| CN107215302A (en) * | 2017-03-25 | 2017-09-29 | 南宁市广千信息技术有限公司 | Car accident prewarning monitoring system |
| CN108099786A (en) * | 2017-12-29 | 2018-06-01 | 南京工程学院 | A kind of driving side blind area excludes early warning system |
| CN109278640A (en) * | 2018-10-12 | 2019-01-29 | 北京双髻鲨科技有限公司 | A kind of blind area detection system and method |
-
2019
- 2019-06-06 CN CN201910492210.XA patent/CN110126734A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070153085A1 (en) * | 2006-01-02 | 2007-07-05 | Ching-Shan Chang | Rear-view mirror with front and rear bidirectional lens and screen for displaying images |
| CN105857178A (en) * | 2016-04-13 | 2016-08-17 | 天瀚科技(吴江)有限公司 | Real-time recording blind spot detection warning system and method |
| CN107215302A (en) * | 2017-03-25 | 2017-09-29 | 南宁市广千信息技术有限公司 | Car accident prewarning monitoring system |
| CN108099786A (en) * | 2017-12-29 | 2018-06-01 | 南京工程学院 | A kind of driving side blind area excludes early warning system |
| CN109278640A (en) * | 2018-10-12 | 2019-01-29 | 北京双髻鲨科技有限公司 | A kind of blind area detection system and method |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112009416A (en) * | 2020-08-11 | 2020-12-01 | 广州汽车集团股份有限公司 | Vehicle protection method and system and automobile |
| CN112172670A (en) * | 2020-10-19 | 2021-01-05 | 广州优创电子有限公司 | Image recognition-based rear view image display method and device |
| CN112477854A (en) * | 2020-11-20 | 2021-03-12 | 上善智城(苏州)信息科技有限公司 | Monitoring and early warning device and method based on vehicle blind area |
| CN112967419A (en) * | 2021-02-01 | 2021-06-15 | 湖南汽车工程职业学院 | Can provide video vehicle event data recorder of field of vision blind area |
| CN113572842A (en) * | 2021-07-23 | 2021-10-29 | 重庆智和慧创科技有限公司 | Car road is anticollision system in coordination based on car networking |
| CN113744565A (en) * | 2021-09-06 | 2021-12-03 | 北京百度网讯科技有限公司 | Collision early warning method and device, electronic equipment and automatic driving vehicle |
| CN115691221A (en) * | 2022-12-16 | 2023-02-03 | 山东矩阵软件工程股份有限公司 | Vehicle early warning method, vehicle early warning system and related device |
| CN115923657A (en) * | 2023-03-13 | 2023-04-07 | 威海爱思特传感技术有限公司 | Reversing blind area monitoring method and system based on ultrasonic radar |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110126734A (en) | A kind of collision early warning system being directed to Vehicular visual blind area, device and method | |
| US10332401B2 (en) | Running vehicle alerting system and method | |
| US10186147B2 (en) | Wrong-way determination apparatus | |
| US20210357665A1 (en) | Safety system for a vehicle to detect and warn of a potential collision | |
| US9965957B2 (en) | Driving support apparatus and driving support method | |
| DE102010061922B4 (en) | System and method coupled to a driver's line of sight for alerting a frontal collision hazard and a vehicle using the same | |
| CN1834583B (en) | Vehicle periphery monitoring apparatus | |
| US9524643B2 (en) | Orientation sensitive traffic collision warning system | |
| CN107358816A (en) | Over the horizon for vehicle threatens the method and system of instruction | |
| DE102014219148A1 (en) | Method and device for creating a movement model of a road user | |
| CN108091154A (en) | Information of vehicles treating method and apparatus | |
| JP5898001B2 (en) | Vehicle periphery monitoring device | |
| CN112172663A (en) | Danger alarm method based on door opening and related equipment | |
| US20170043717A1 (en) | System and Apparatus that Alert Car Drivers Approaching Obstacles in the Road | |
| CN107408338A (en) | Driver assistance system | |
| CN104210488A (en) | Method and device for preventing vehicle from colliding with road edge | |
| CN109466444A (en) | Hazardous vehicles detect method for early warning and system | |
| CN112466159B (en) | Right-turning safety early warning system for large vehicle | |
| CN108538084B (en) | Visual reminding device, vehicle and visual reminding method | |
| CN115320582A (en) | Automatic identification system for unmanned vehicle | |
| KR102514660B1 (en) | Method and system for preventing traffic accident on pedestrian vehicle road | |
| US20200311446A1 (en) | Abnormality determination device | |
| CN114419925B (en) | Vehicle-road cooperative collision-prevention early warning system and method | |
| CN114627678A (en) | Safety monitoring method, medium, monitoring equipment and monitoring system for inner wheel difference area | |
| Rassameepaiboon et al. | Vehicle avoidance reaction by two step motion flow cluster |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 215347 7th floor, IIR complex, 1699 Weicheng South Road, Kunshan City, Suzhou City, Jiangsu Province Applicant after: Kunshan Microelectronics Technology Research Institute Address before: 215347 7th floor, complex building, No. 1699, Zuchongzhi South Road, Kunshan City, Suzhou City, Jiangsu Province Applicant before: KUNSHAN BRANCH, INSTITUTE OF MICROELECTRONICS OF CHINESE ACADEMY OF SCIENCES |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190816 |