CN208344074U - A kind of comprehensive DAS (Driver Assistant System) of the automobile based on machine vision - Google Patents
A kind of comprehensive DAS (Driver Assistant System) of the automobile based on machine vision Download PDFInfo
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- CN208344074U CN208344074U CN201820618182.2U CN201820618182U CN208344074U CN 208344074 U CN208344074 U CN 208344074U CN 201820618182 U CN201820618182 U CN 201820618182U CN 208344074 U CN208344074 U CN 208344074U
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Abstract
The utility model provides a kind of comprehensive DAS (Driver Assistant System) of automobile based on machine vision, the DAS (Driver Assistant System) include: for obtaining the vision expansion module of periphery road conditions, the fatigue driving identification module for detecting driver status information, the deviation detection module for detecting vehicle travel condition, message processing module, the display module of video image information for showing the vision expansion module, the audible and visible alarm module for sounding an alarm.The message processing module is connected with the vision expansion module, fatigue driving identification module, deviation detection module；The display module is connected with the message processing module；The audible and visible alarm module is connected with the message processing module.The system realizes multiple ADAS functions on a hardware platform, and carries out comprehensive descision according to traffic information, car status information and the driver status information that multiple functions obtain, for automotive safety operation obtain comprehensively, effectively, timely information.
Description
Technical field
The utility model relates to vehicle assistant drive field, in particular to a kind of comprehensive auxiliary of the automobile based on machine vision
Control loop.
Background technique
Advanced driving assistance system (Advanced Driver Assistance System, abbreviation ADAS) is to utilize peace
Loaded on the miscellaneous sensor on vehicle, environmental data inside and outside first time collecting cart carries out quiet, dynamic object distinguishes
The technical processing such as knowledge, detecting and tracking, so as to allow driver to discover the danger that may occur in the most fast time, with
Arouse attention and improve the active safety technologies of safety.
Present ADAS product mainly realizes one of those or a few function, or is realized using multisystem
Repertoire, not only the cost of product can be promoted much in this way, while shared data is unable between each function, not can be carried out comprehensive
The analytical judgment of conjunction property, causes to judge by accident or fail to judge to take place frequently, and makes driver's experience poor.
For example, there are following objective problems for independently operated fatigue driving detecting system: 1, for eyes natively very little
Driver for, can not be opened by eyes and close acquisition driver status.At this point, can only judge fatigue by abnormal attitude detection
State, information is not comprehensive；2, it can not handle absent-minded in driver's short time；3, cabin interior situation can only be monitored, is lacked
External environment is monitored.
Lane, which keeps auxiliary system to lack, can not judge that run-off-road is the active behavior of driver to the monitoring of driver
Or the passive run-off-road due to carelessness, fatigue etc., increases rate of false alarm.
Panoramic looking-around system video monitoring range is narrow, and visual range is generally around vehicle body 3 meters, leaves driver's judgement for
And take the time for the treatment of measures shorter.So panoramic looking-around system is primarily directed in the low speed row such as complex road condition or reversing
The use under situation is sailed, is not suitable for vehicle and is used in normally travel and run at high speed under conditions of.
Utility model content
To solve or alleviating the above problem, the utility model provides a kind of comprehensive auxiliary of the automobile based on machine vision and drives
System is sailed, the DAS (Driver Assistant System) includes: for obtaining the vision expansion module of periphery road conditions, for detecting driver status
The fatigue driving identification module of information, the deviation detection module for detecting vehicle travel condition, message processing module, use
Display module in the video image information for showing the vision expansion module, the audible and visible alarm module for sounding an alarm.Institute
Message processing module is stated to be connected with the vision expansion module, fatigue driving identification module, deviation detection module；It is described aobvious
Show that module is connected with the message processing module；The audible and visible alarm module is connected with the message processing module.
Preferably, the DAS (Driver Assistant System) is equipped with the image information collection module for collecting real-time video information, packet
It includes: being arranged in vehicle four-way CCD camera all around, be arranged in the interior camera in car for monitoring driver status, use
In the lane information of monitoring vehicle front and the forward direction camera of front environment.
Preferably, the DAS (Driver Assistant System) is additionally provided with the information of vehicles collection module for collecting vehicle traveling information.
Preferably, the information of vehicles collection module use CAN communication transceiver module, the CAN communication transceiver module with
Vehicle CAN bus is connected.
Preferably, the four-way CCD camera is wide-angle camera, and horizontal field of view angle is not less than 180 degree；The forward direction is taken the photograph
As the horizontal field of view angle of head is 45~60 degree.
Preferably, the camera in car is fixed in the car, when the camera in car is equipped with to reinforce dark
Picture quality infrared light compensating lamp, the wavelength of the infrared light compensating lamp is 850nm or 940nm.
Preferably, the vision expansion module includes panoramic looking-around submodule and Streaming Media backsight submodule.
Preferably, the message processing module includes image procossing submodule, fatigue driving judging submodule, deviation
Judging submodule.
Preferably, the DAS (Driver Assistant System), which is equipped with, provides the Power Management Unit of power supply, the power management list for it
Member connect or is equipped with independent current source with vehicle feeder ear；The DAS (Driver Assistant System) is additionally provided with the storage for storing video image
Unit.
Preferably, the DAS (Driver Assistant System) further includes hazardous vehicles identification module, front-rear anti-collision module, traffic sign
Identification module.
According to the comprehensive DAS (Driver Assistant System) of automobile in the utility model, obtainable beneficial effect at least that:
The comprehensive DAS (Driver Assistant System) of automobile in the utility model realizes multiple ADAS functions on a hardware platform, and
Traffic information, car status information and the driver status information obtained according to multiple functions carries out comprehensive descision, pacifies for automobile
Row for the national games obtain comprehensively, effectively, timely information.
It should be appreciated that aforementioned description substantially and subsequent detailed description are exemplary illustration and explanation, it should not
As the limitation to the claimed content of the utility model.
Detailed description of the invention
With reference to the attached drawing of accompanying, the more purposes of the utility model, function and advantage will pass through the utility model embodiment party
Formula is illustrated described below, in which:
Fig. 1 schematically shows the schematic illustration of DAS (Driver Assistant System) in the utility model；
Fig. 2 is the composed structure schematic diagram of DAS (Driver Assistant System) in the utility model；
Fig. 3 is the composed structure schematic diagram of message processing module in the utility model；
Fig. 4 is a kind of composed structure schematic diagram of the DAS (Driver Assistant System) of preferred embodiment in the utility model；
Fig. 5 is a kind of four-way CCD camera arrangement schematic diagram of preferred embodiment in the utility model；
Fig. 6 is the actual effect figure of the panoramic looking-around submodule of an embodiment in the utility model；
Fig. 7 is that showing for visual angle coverage area is spliced on three tunnel of Streaming Media backsight submodule of an embodiment in the utility model
It is intended to；
Fig. 8 is the actual effect figure of the Streaming Media backsight submodule of an embodiment in the utility model；
Fig. 9 is the process principle figure of fatigue detecting in the utility model；
Figure 10 is the comprehensive descision logical flow chart of fatigue driving identification module in the utility model；
Figure 11 is the comprehensive descision and control flow chart of deviation detection module in the utility model.
Specific embodiment
By reference to exemplary embodiment, the purpose of this utility model and function and for realizing these purposes and function
Method will be illustrated.However, the utility model is not limited to exemplary embodiment as disclosed below；It can be by not
It is realized with form.The essence of specification is only to aid in those skilled in the relevant arts' Integrated Understanding the utility model
Detail.
Hereinafter, the embodiments of the present invention will be described with reference to the drawings.In the accompanying drawings, identical appended drawing reference represents
Same or similar component or same or like step.
ADAS use sensor mainly have camera, radar, laser and ultrasonic wave etc., can detect light, heat, pressure or
Other variables for being used to monitor vehicle condition can also pass through contact wearable device and monitor driver status.
Method based on contact wearable device.Such method obtains electroencephalogram, electrocardiogram, eye by contact equipment
The information such as portion's state, head pose are analyzed, to obtain the status information of driver.The information that such methods obtain is accurate
Spend it is higher, but at high cost, contact and the information of driver can only be obtained and without vehicle-state and traffic information, it is above
It is poor that disadvantage results in its exploitativeness.
The method of basic radar, laser and ultrasonic wave.Such method is by the principle of reflection of wave, thus to obtain target to electricity
The information such as distance, range rate (radial velocity), the orientation of magnetic wave launch point have precision of information is high, detection range is remote etc.
Advantage, but higher cost, information is not intuitive, and is only used for the monitoring of road conditions and ambient enviroment and cannot be used for car and drive
The monitoring of the person's of sailing state.
Data interaction between each system can also carry out information communication by CAN bus, but this scheme still needs
Multisystem, each system must have CAN communication function, so hardware cost cannot reduce, need to increase instead.If will side
Being communicated using CAN just, must just have unified communications protocol, can just get the product information of different manufacturers, this
It is required that being also difficult to accomplish at present.This scheme also results in the delay of information exchange, and real-time is poor.
The utility model, which is used, obtains the method that image is analyzed based on camera, utilizes the face-image of driver
State, expression information and the identity information of the acquisition driver such as feature, eye signal, head movement characteristic.For example, driver
The movement of member's eyeball and blink information are considered as the important feature of reflection fatigue, wherein Blink rate, frequency of wink and average
Closing time all can be directly used for detection fatigue, can also obtain travel condition of vehicle by the image analysis to road before and after vehicle
And road safety situation.The advantages of such methods are as follows: non-contact, customer perception is good, practicability is high, can carry out multiple functions mould
Block exploitation.
The utility model provides a kind of comprehensive DAS (Driver Assistant System) of the automobile based on machine vision, the DAS (Driver Assistant System)
Cardinal principle as shown in Figure 1, by information of vehicles obtain module 500 and image information collecting module 600 carry out road conditions, vehicle condition,
The acquisition of the information such as driver status, by information data transmission to message processing module 400, by processing, according to presetting
Function, display device 700 show image or using audible and visible alarm module 800 progress early warning.
As shown in Fig. 2, the comprehensive DAS (Driver Assistant System) of automobile in the utility model may include vision expansion module 100, it is tired
Please identification module 200, deviation detection module 300, message processing module 400, display module 700 and audible and visible alarm mould are sailed
Block 800 etc..Vision expansion module 100 can be used for obtaining the road conditions on periphery, and fatigue driving identification module 200 can be used for detecting driving
The status information of member, deviation detection module 300 can be used for detecting the travel condition of vehicle, message processing module 400 and view
Feel that expansion module 100, fatigue driving identification module 200, deviation detection module 300 are connected.Display module 700 is for showing
The video image information of vision expansion module 100, display module 700 are connected with message processing module 400.Audible and visible alarm module
800 for sounding an alarm, and audible and visible alarm module 800 is connected with message processing module 400.
The image that the comprehensive DAS (Driver Assistant System) of automobile in the utility model can be equipped with for collecting real-time video information is believed
Cease collection module 600, comprising: be arranged in four-way CCD camera (the preceding road camera 111, way of escape camera of vehicle all around
112, left camera 113 and right wing camera 114), be arranged in it is interior for monitoring the camera in car of driver status
210, for monitoring the lane information of vehicle front and the forward direction camera 310 of front environment etc..Wherein, four-way CCD camera is wide
Angle camera, horizontal field of view angle are not less than 180 degree.The horizontal field of view angle of forward direction camera 310 is 45~60 degree.This is practical new
The comprehensive DAS (Driver Assistant System) of automobile in type can also be equipped with the information of vehicles collection module 500 for collecting vehicle traveling information,
It is mainly used for collecting the information such as speed, wheel steering, turn signal, the throttle of vehicle itself.
Vision expansion module 100 in the utility model may include panoramic looking-around submodule 110 and Streaming Media backsight submodule
Block 120.Four road wide-angle cameras are used to carry out peripheral vehicle video acquisition, preceding road camera 111, way of escape camera 112, a left side
The installation site of road camera 113 and right wing camera 114 and mounting means can be with panoramic looking-around systems one in the prior art
Sample sets up in the surrounding of automobile and covers all field ranges of vehicle-surroundings, as shown in Figure 5.Acquired in this four-way CCD camera
Video flowing can be used for being spliced into 360 degree of panoramic looking-around systems, also can be spliced into three road Streaming Media rear-view mirror systems.After Streaming Media
Visor video flowing can be used for right blind area after the identification of vehicle below, the identification of type of vehicle, the identification of hazardous vehicles, automobile rear left
Monitoring and the functions such as backward anti-collision warning.
In an embodiment in the present invention, as shown in figure 3, when vehicle operates in low speed situations, video
The panoramic looking-around submodule 110 of expansion module 100 brings into operation, and information of vehicles obtains module 500 and transmits vehicle speed information
To the image procossing submodule 410 of message processing module 400.The collected view of four tunnels all around of four-way CCD camera synchronization
Frequency image is processed into the vehicle body top view of 360 degree of a width vehicle-surroundings by Image Mosaic unit 411.Image procossing submodule
410 can be embeded processor, and display module can be the display screen of left and right double screen, and spliced figure is shown in the display screen left side
The image of picture, the right changes according to motoring condition and is changed.Image on the right of display screen is shown can be by display control unit
412 controls, are judged according to information such as speed judging unit 413, wheel steering acquiring units 414.Specifically, work as automobile
Showing the image of left camera when left-hand rotation, when right-hand rotation, shows right wing camera image, and when reversing shows way of escape camera image,
Preceding road camera image is shown when straight trip.Shown in display effect and Fig. 6 of the vehicle when low speed is kept straight on, the left side is the seamless spelling in four roads
The top view connect, the right are shown as preceding road camera real time video image.When driver runs at a low speed under complex road condition, it can pass through
Display screen gets information about periphery traffic information.
In normally travel or when running at high speed, the video that left and right, rear three road camera is acquired is also by this embedded place
Device is managed by operation, is spliced into the backsight image with big field angle, the part within the scope of Fig. 7 arrow is exactly spliced
Angular field of view.Four blind areas (blind area 1, blind area 2, blind area 3, blind area 4) can be completely covered in angular field of view.Since camera is mounted in
Outside vehicle, so image is not influenced by rear passenger and boot article.Due to splice the image received covered left outside rearview mirror,
Right outside rear-view mirror and inside rear-view mirror viewing area, thus driver only need to see a display screen can understand completely rear and
The traffic information at side rear goes to watch each rearview mirror without frequently rotating head.Simultaneously as image has been spliced,
Shown video is more intuitive and clear with the relative position information of this vehicle on display screen, good with one to driver
Impression, increases the safety coefficient of driving.Actual splicing effect is as shown in Figure 8.Display module can also be according to customer requirement
Carry out the adjustment of display mode.If two screens can be used in client, it may be respectively used for four road panoramic looking-arounds of display and three tunnels
Streaming Media backsight (double screen is with aobvious)；If client uses vertical display screen, after four tunnels can be looked around He Sanlu Streaming Media by system
Depending on splicing at perpendicular screen display (screen is double aobvious).If it is both the above display mode, just not further according to judging speed, directly handle
The image of four-way CCD camera is spliced in such a way that four tunnels are looked around with left and right, rear three road, carries out figure further according to display mode
As output is handled.
Driving fatigue refers to that driver after continuous driving for a long time, generates the imbalance of physiological function and mental function, and
Objectively there is the phenomenon that driving efficiency decline.Driving fatigue influences whether the attention of driver, feeling, consciousness, thinking, sentences
The aspects such as disconnected, will, decision and movement.Driver fatigue monitor system is that the multivariate information fusion based on machine vision technique is driven
Sail auxiliary early warning system.It is based on physiological driver's image react, using imaging sensor acquisition driver facial characteristics,
The information such as eye signal, head movement carry out the processing and analysis of image using high speed digital signal processor, infer and drive
The fatigue state of member.It is analyzed simultaneously by the operating characteristic to driver, including to speed, steering wheel, throttle, brake lamp
The extraction and judgement of operating characteristics assist the fatigue state of driver to monitor and carry out warning note.
Fatigue driving identification module 200 in the utility model may include camera in car 210.For fatigue driving monitoring
Camera in car 210 can be fixed on the A column on the left of driver (column between windshield and left and right front door), can also
It is integral with host design, it is placed on console, camera in car 210 obtains driver's cabin image, and is analyzed and driven by algorithm
Whether member shows to close one's eyes frequently, drives phenomena such as posture is abnormal.Picture quality when in order to reinforce night or dark, it is interior
An infrared light compensating lamp 211 can be equipped on camera 210, the wavelength of light compensating lamp 211 is 850nm or 940nm.The light of this wavelength is people
The black light of eye, does not influence the normal operating of driver.
The image information judgement that the comprehensive DAS (Driver Assistant System) of automobile in the utility model is obtained according to camera in car 210
The fatigue conditions of driver, basic procedure are as shown in Figure 9.Face datection is carried out first and facial feature points extract, then
Extract eye patch and feature, carrying out SVR test, obtain during initialization under normal circumstances open the degree of closing, into
Row PERCLOS algorithm.Fatigue detecting is roughly divided into two processes, and during initialization, algorithm will count a period of time
Interior driver being averaged under normal circumstances is opened the reference value that the degree of closing drives as tired driver and (is mainly considered here different
It is different that human eye opens the degree of closing).Fatigue driving identification module 200 in the utility model can also be directed to different drivers
The reference value is saved, transfers corresponding ginseng automatically after identifying identity by means such as recognitions of face in later test process
Examine value.In the detection process, if certain frame to open the degree of closing much smaller compared with the degree of closing averagely is opened, it is believed that the frame eyes are in
Closed-eye state, when the time closed one's eyes in a period of time being more than certain threshold value (can be according to PERCLOS algorithm common in industry),
It is in a state of fatigue to be considered as current driver.
It is worth noting that for the eyes natively driver of very little, judge eyes open close method is not applicable.This
When, fatigue state can only be judged by the method for abnormal attitude detection.Another is not it is worth noting that when face is positive face
And misalignment angle it is little when, the utility model by by current posture and character pair point position by the eye of extraction
Patch is corrected eyes image when acquisition corresponds to positive face.Certainly for human face posture deviation it is very big in the case where, we can be with
Early warning is carried out by Attitude estimation.
The basic function logic of fatigue driving identification module 200 is as shown in Figure 10.After system detection is powered on to automobile, starting
Face identification functions are used to obtain driver information, such as: number of people posture and human eye open the degree of closing when normal driving.Exist later
When certain threshold value (such as speed be greater than) is monitored driver status and facial characteristics under system function starting mode, and ties
It closes deviation testing result and judges whether fatigue state occur with information such as the throttles of vehicle, it, can when there is fatigue driving
Audible and visible alarm is carried out to driver.Fatigue driving judging submodule 420 may include human eye area obtaining unit 421, human eye area
Judging unit 422, driver gestures detection unit 423, car status information obtains and deviation acquisition of information 424, fatigue
Drive judging unit 425 etc..Specific steps are as follows:
S1: camera in car 210 obtains facial image, and image data is transmitted to fatigue driving judging submodule 420；
S2: it is detected according to face characteristic point and obtains human eye area；
S3: judge whether eye areas is too small；
S4: if eye areas is too small, then driver gestures detection is carried out；
S5: if eye areas is normal, then judges that eyes open the degree of closing, carry out driver gestures detection；
S6: the information such as vehicle-state, including speed, throttle, turn signal are obtained；
S7: LKAS (Lane Keeping System) information is obtained；
S8: comprehensive descision whether fatigue driving.
Lane keeps auxiliary system (LKAS) to be used as a kind of advanced vehicle electronics security system, and it is public to be primarily adapted for use in high speed
The advanced roads such as road, city expressway, main target are that auxiliary driver keeps lane, avoid deflecting away from lane and caused by
Traffic accident.The multinomial new and high technologies such as LKAS system combines image perception, danger is estimated, steering wheel controls, when vehicle is because driving
When the passive run-off-road of the reasons such as the person's of sailing carelessness, fatigue, system can issue deviation warning automatically, and to steering wheel apply with partially
From contrary torque, until driver corrects driving direction.It is main although the slight moment that system applies steering wheel
It acts on and is to warn and reduce to the greatest extent vehicle departure degree, the responsibility of vehicle safe driving is still undertaken by driver.
The deviation detection module 300 that the comprehensive DAS (Driver Assistant System) of automobile in the utility model is equipped with mainly utilizes
Forward direction camera 310 is monitored.Forward direction camera 310 can be fitted together with host machine part, be mainly used for before vehicle to
Video acquisition.This camera is due to using lesser field angle camera lens, it is possible to which monitoring is apart from farther front road conditions.System
By image recognition obtain lane shift situation, forward direction vehicle distances, forward direction barrier the case where and traffic lights state and
Traffic sign provides data source for intelligent algorithm.It is inclined that deviation detection module 300 combines vehicle control information, lane
Judged from information, left and right vehicle wheel two sides rear situation of remote, fatigue driving detection case, is avoided due to driver actively
Information is reported by mistake caused by lane change, improves the use feeling of driver, while in run-off-road, is come to be biased to lane rear
Vehicle situation is monitored, and prevents rearward collision.Deviation judging submodule 430 may include vehicle and lane apart from angle calcu-lation
Unit 431, vehicle-state obtain 432, crimping time calculating unit 433, deviation judging unit 434, institute's lane vehicle partially
Judging unit 435, fatigue carelessness judging unit 436, control judging unit 437 etc. of advancing.Detailed process is as shown in figure 11.
S1: forward direction camera 310 obtains pattern；
S2: vehicle is calculated at a distance from lane and angle；
S3: the information such as vehicle condition, including speed, steering wheel, turn signal are obtained；
S4: the relative velocity close to lane is calculated as the crimping time；
S5: deviation is judged whether there is；
S6: deviation if it does not exist then carries out step 1；
S7: deviation if it exists, then obtained the side in lane and the video image at rear partially；
S8: it is close to judge whether there is vehicle, and obtains fatigue driving estimation value；
S9: judge whether to cause due to carelessness, fatigue etc.；
S10: if not driver tired driving, then carry out step 1；
S11: if driver tired driving, then judge whether to be controlled；
S12: not needing to be controlled, then carries out sound-light alarm；
S13: being controlled, then carries out sound-light alarm and correct steering wheel.
In a better embodiment, as shown in figure 4, the comprehensive DAS (Driver Assistant System) of automobile in the utility model is by four tunnels
Wide-angle camera mould group, all the way interior monitoring camera mould group, all the way forward direction camera module, image processing unit, power supply pipe
The work of the module coordinations such as unit, CAN communication Transmit-Receive Unit, video storage unit is managed, motor vehicle environment road conditions and car are driven in realization
The monitoring of the person's of sailing state.
Four road wide-angle camera mould groups include camera 1, camera 2, camera 3 and camera 4, four road wide-angle imagings
The road conditions video image of head mould group acquisition automobile all directions, is transferred to image processing unit.All the way interior monitoring camera mould group,
Forward direction camera module is camera 5 and camera 6 all the way.In this embodiment, image processing unit is information processing
Module 400.The received image data of image processing unit processing, being spliced into needs complete image to be shown, is sent to display screen
Display.Message processing module 400 can also image data based on the received, comprehensive descision and output phase are carried out to image obtained
Composograph information, warning message and control information for answering etc..
CAN communication transceiver module can be used in information of vehicles collection module 500 in the utility model, and CAN communication receives and dispatches mould
Block and vehicle CAN (Controller Area Network, controller local area network) bus are connected.CAN communication transceiver module can
To receive the situation of remote on vehicle in bus, it can mainly include speed obtains, vehicle heading obtains etc., be controlled by display
Unit 412 processed is used to control the display content of display screen, can also display screen display alarm information or to associated control element into
Row real-time control.
The system may also include the storage unit for storing video image, can also be equipped with DRAM (Installed System Memory), Flash
Memory (flash memory) etc., video storage unit 910 is connected with message processing module 400, can carry out the storage of video according to demand.
The system, which may also include, provides the Power Management Unit 920 of power supply, Power Management Unit 920 and vehicle feeder ear for whole system
Connection is equipped with independent current source, as shown in figure 4, B+ (positive pole), GND (the public ground wire of Power Management Unit 920 and vehicle
Cathode), ACC (accessory power supply) be connected.Before automobile starts not yet, if vehicle is equipped with key ACC grades, key is pushed
This position, the system in the utility model can be powered, and when automotive ignition, need a heavy current, and at this moment ACC
Stop power supply, waits automotive ignitions to terminate, and start to power.Power Management Unit 920 carries out power supply pipe according to vehicle operating status
Reason, to reach the power consumption requirements of vehicle and this system.
The comprehensive DAS (Driver Assistant System) of automobile in the utility model also includes hazardous vehicles identification module 930 and front and back anti-collision
Hit module 940.Hazardous vehicles identification module 930 can identify nearby vehicle using Streaming Media backsight submodule 120, find
It is reminded whens cart, petroleum transportation vehicle, chemical transportation vehicle etc..Front-rear anti-collision module 940 by vision expansion module 100,
It is mainly used for assisting driver that high speed, low speed is avoided to knock into the back, unconscious run-off-road in high speed, with the major motor vehicles such as pedestrian impact
Accident, helps driver, continual detection vehicle front condition of road surface as third eye, and system can identify judgement
Various potential dangerous situations, and by different sound and visual alerts, to help driver to avoid or slow down collision accident.
The comprehensive DAS (Driver Assistant System) of automobile in the utility model also includes Traffic Sign Recognition module 950, traffic sign
Identification module 950 can utilize 310 binding pattern of forward direction camera, can identify common traffic sign, such as speed limit stops, falls
Head etc..This function can remind driver to pay attention to the traffic sign of front, so that driver is in accordance with these marks.Traffic sign is known
Other function reduces the possibility that driver does not abide by the traffic laws such as stop sign, avoids illegal left-hand rotation or unintentionally other
Traffic violation, to improve safety.
The utility model is in addition to realizing existing fatigue driving identification function, forward direction anti-collision early warning function, deviation inspection
The functions such as function, Streaming Media back vision function, Traffic Sign Recognition are looked around in brake, 360, to anti-collision early warning function after can also realizing
Energy, cart and hazardous vehicles identification function, provide more protections for the operation of vehicle.
The utility model realizes multiple functions using a set of hardware system, effectively reduces the cost of product.System
In each subfunction data obtained, the data that are obtained by algorithm process and result shared in system, and to being obtained
The information taken carries out comprehensive assessment, it can and it is effective to reduce wrong report, and real-time periphery road conditions and driver status can be obtained,
Danger can also be prejudged in advance, improve the safety of vehicle operation.
The comprehensive DAS (Driver Assistant System) of automobile in the utility model realizes multiple ADAS functions on a hardware platform, and
Traffic information, car status information and the driver status information obtained according to multiple functions carries out comprehensive descision, pacifies for automobile
Row for the national games obtain comprehensively, effectively, timely information.
In conjunction with the explanation and practice of the utility model disclosed here, the other embodiments of the utility model are for this field
Technical staff will be readily apparent and understand.Illustrate and embodiment be regarded only as being exemplary, the utility model it is real
Scope and spirit are defined in the claims.
Claims (10)
1. a kind of comprehensive DAS (Driver Assistant System) of automobile based on machine vision, which is characterized in that the DAS (Driver Assistant System) includes:
For obtaining the vision expansion module of periphery road conditions；
For detecting the fatigue driving identification module of driver status information；
For detecting the deviation detection module of vehicle travel condition；
Message processing module, the message processing module and the vision expansion module, fatigue driving identification module, deviation
Detection module is connected；
For showing the display module of the video image information of the vision expansion module, at the display module and the information
Module is managed to be connected；
Audible and visible alarm module for sounding an alarm, the audible and visible alarm module are connected with the message processing module.
2. the comprehensive DAS (Driver Assistant System) of automobile according to claim 1, which is characterized in that
The DAS (Driver Assistant System) is equipped with the image information collection module for collecting real-time video information, comprising:
It is arranged in the four-way CCD camera of vehicle all around；
It is arranged in interior for monitoring the camera in car of driver status；
For monitoring the lane information of vehicle front and the forward direction camera of front environment.
3. the comprehensive DAS (Driver Assistant System) of automobile according to claim 2, which is characterized in that
The DAS (Driver Assistant System) is additionally provided with the information of vehicles collection module for collecting vehicle traveling information.
4. the comprehensive DAS (Driver Assistant System) of automobile according to claim 3, which is characterized in that
The information of vehicles collection module uses CAN communication transceiver module, the CAN communication transceiver module and vehicle CAN bus
It is connected.
5. the comprehensive DAS (Driver Assistant System) of automobile according to claim 2, which is characterized in that
The four-way CCD camera is wide-angle camera, and horizontal field of view angle is not less than 180 degree；
The horizontal field of view angle of the forward direction camera is 45~60 degree.
6. the comprehensive DAS (Driver Assistant System) of automobile according to claim 2, which is characterized in that
The camera in car is fixed in the car, and the camera in car is equipped with to picture quality when reinforcing dark
Infrared light compensating lamp, the wavelength of the infrared light compensating lamp are 850nm or 940nm.
7. the comprehensive DAS (Driver Assistant System) of automobile according to claim 1, which is characterized in that
The vision expansion module includes panoramic looking-around submodule and Streaming Media backsight submodule.
8. the comprehensive DAS (Driver Assistant System) of automobile according to claim 1, which is characterized in that
The message processing module includes image procossing submodule, fatigue driving judging submodule, deviation judging submodule.
9. the comprehensive DAS (Driver Assistant System) of automobile described in one of -8 according to claim 1, which is characterized in that the auxiliary drives system
System, which is equipped with, provides the Power Management Unit of power supply for it, and the Power Management Unit connect or be equipped with independent electrical with vehicle feeder ear
Source；
The DAS (Driver Assistant System) is additionally provided with the storage unit for storing video image.
10. the comprehensive DAS (Driver Assistant System) of automobile described in one of -8 according to claim 1, which is characterized in that the auxiliary drives
System further includes hazardous vehicles identification module, front-rear anti-collision module, Traffic Sign Recognition module.
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