CN103594003B - A kind of for the remote monitoring of driver and the method for abnormity early warning - Google Patents
A kind of for the remote monitoring of driver and the method for abnormity early warning Download PDFInfo
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Abstract
The invention provides a kind of for the remote monitoring of driver and the system of abnormity early warning, comprise for detect and judge the video of driver's direction of visual lines detect machine with for detecting the GPS/ Big Dipper dual mode receiver of vehicle position, travel speed, with for the treatment of data, output terminal that described video detects machine and GPS/ Big Dipper dual mode receiver judges that the input end of the processor of driver attention is electrically connected respectively; The output terminal of described processor is electrically connected with warning device.And disclose the method for remote monitoring and abnormity early warning, the direction of visual lines of machine acquisition testing driver, the position of GPS/ Big Dipper dual mode receiver harvester motor-car and travel speed is detected by video, realize the detection of judgement to driver attention state and abnormality thus, and provide different warning measures for different abnormality, realize the long-range real-time monitoring in transit of driver and abnormity early warning, thus avoid the generation of road traffic accident.
Description
Technical field
The present invention relates to motor-driven vehicle going active safety technologies field, be specifically related to a kind of for the remote monitoring of driver and the system and method for abnormity early warning.
Background technology
Social economy's fast development causes Road Transportation amount to be increased sharply, and road traffic accident has become public safety problem day by day serious in global range.Statistical data shows, wherein the road traffic accident rate that causes of the human factor of driver is the highest accounts for about 90%, brings grievous injury to the safety of life and property of the people.In the driver's human factor causing these road traffic accidents, fatigue driving, drive when intoxicated and distraction drive be one of major reason.According to analysis, absent minded within the 3s time of driver causes the traffic hazard of wherein 80%, and main manifestations is deviation and rear-end collision.
In order to prevent the generation of road traffic accident, people develop based on the driver fatigue state detector of video image intelligent treatment technology and detect for limiting technology and equipments such as " alcolocks " that driver drivings a car under the influence of alcohol based on alcohol smell.These technology and equipments have played certain effect in use, but also there is significant limitation, as fatigue state detects only effective for part driver, cannot carry out fatigue detecting accurately to all drivers; Alcohol smell in pilothouse detects has larger difference under ventilation and stuffy situation, accurately cannot judge whether drinking of driver.These limitation limit promoting the use of of above-mentioned motor-driven vehicle going active safety technologies and equipment, thoroughly can not avoid the generation of road traffic accident, especially particularly serious traffic hazard.
Road Transportation administrative authority is generation of preventing accident, utilize global satellite positioning, modern communications technology and computer technology and develop the long distance control system of vehicle, the information such as the position of motor vehicle and the video of driver can be obtained in real time, but the state of attention of driver cannot be obtained in real time, also just can not provide early warning and enforcement to deal with emergencies and dangerous situations measure when driver attention occurs abnormal, as analysis on accident cause materials'use after road traffic accident occurs, can only not play trouble-saving effect.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of for the remote monitoring of driver and the system and method for abnormity early warning, by the detection of driver's direction of visual lines and vehicle running speed, judge the state of attention of driver, and give in time when driver attention occurs abnormal to remind and report to the police, realize the long-range real-time monitoring in transit of driver, and avoid the generation of road traffic accident.
Technical scheme of the present invention is:
A kind of for the remote monitoring of driver and the system of abnormity early warning, comprise for detect and judge the video of driver's direction of visual lines detect machine with for detecting the GPS/ Big Dipper dual mode receiver of vehicle position, travel speed, with for the treatment of data, output terminal that described video detects machine and GPS/ Big Dipper dual mode receiver judges that the input end of the processor of driver attention is electrically connected respectively; The output terminal of described processor is electrically connected with warning device.
Further, the output terminal of described processor is electrically connected with 3G wireless router, and wireless telecommunications are carried out at described 3G wireless router and management and control center, backstage.
Further, described video detects machine and comprises camera and main frame, and the output terminal of described camera is electrically connected with described main frame, and the output terminal of described main frame is electrically connected with infrared illumination lamp.
Further, described warning device comprises the double jump lamp of warning light, loudspeaker and motor vehicle, and the output terminal of described processor is electrically connected with the gauge tap of double jump lamp with described warning light, loudspeaker respectively.
Another technical scheme of the present invention is to provide a kind of for the remote monitoring of driver and the method for abnormity early warning, comprises the steps:
(1) take driver's facial characteristics video by the camera in video detection machine and sent to main frame, according to facial characteristics method, main frame show that nine directions of driver's sight line are transferred to processor;
(2) by position coordinates and the speed data of GPS/ Big Dipper dual mode receiver harvester motor-car, and processor is transferred to;
(3) processor processes according to the information received, and judges driver attention state according to driver by left and right, that institute's steering vehicle observed by rearview mirror interval time that is left and right, rear side traffic conditions;
(4) processor is selected to drive warning device to report to the police accordingly according to the state of attention judged;
(5) driver's picture, state of attention and vehicle position coordinate, speed data once send to management and control center, backstage by 3G wireless router is per second by processor.
Further, in described step (1) main frame environmentally light intensity drive infrared illumination lamp open light filling or closedown.
Further, described step (1) septum reset characteristic method is eyes, the nose of main frame according to the video location driver of input, according to the distance of left and right pupil barycenter respectively and between nose subpoint, and the left and right central point of pupil barycenter line and the distance of nose judge nine directions drawing driver's sight line; Nine directions of described driver's sight line are front, left, right, top, upper left side, upper right side, below, lower left and lower right.
Further, driver attention state is divided into that notice is normal in described step (3), dispersion attention, notice be abnormal with notice severely subnormal level Four.
Further, described warning device comprises warning light, loudspeaker and the motor vehicle double jump lamp of being located at pilothouse; When processor judges that driver attention disperses, processor drives loudspeaker to send bass and warning light dodges slowly; When processor judges that driver attention is abnormal, processor drives loudspeaker to send high pitch and warning light carries out quick flashing; When processor judges driver attention severely subnormal, processor drives that loudspeaker send high pitch, warning light carries out quick flashing, and turns on double jump lamp and warn periphery driving vehicle.
Further, in described step (5), if during driver attention severely subnormal, management and control center, backstage is by 3G wireless router call-prompting driver.
Driver's remote monitoring of the present invention and abnormity early warning system device therefor are powered by power sources of motor vehicle is unified, automatically enter mode of operation, monitor in real time driver attention state after motor vehicle retrofire; When driver attention state occurs abnormal, automatically send alarm, and report management and control center, backstage.
Research display, if the 1.5s before road traffic accident occurs sends early warning to driver, then can avoid the accident of 90%.Therefore, the present invention adopts video image intelligent treatment technology to detect the direction of visual lines of driver, adopt position and the travel speed of global positioning satellite (the GPS/ Big Dipper) technology for detection motor vehicle, realize the detection of judgement to driver attention state and abnormality thus, and provide different warning measures for different abnormality, realize the long-range real-time monitoring in transit of driver and avoid the generation of road traffic accident.So the present invention is abnormal once notices such as generation fatigue and distraction driver, giving driver's active forewarning in time, is reduce the effective technical measures of road traffic accident.
Advantage of the present invention:
(1) detection of the detection and vehicle running speed that, the present invention is based on driver's direction of visual lines can judge the state of attention of driver exactly, detect driver attention dispersion and abnormal conditions in real time, and Real Time Drive warning device carries out corresponding early warning to remind driver, avoids or reduce the generation of traffic hazard.
(2), the present invention supplements illumination brightness in car by infrared illumination lamp, and detects driver's direction of visual lines according to facial characteristics method, thus ensured accuracy and the reliability of driver's gaze tracking.
(3), driver attention state is divided into level Four by the present invention, and wherein abnormality is divided into dispersion, exception and severely subnormal, and takes different early warning to remind measure, can ensure motor vehicle safe drive to greatest extent.
(4), the present invention can be used alone on motor vehicle, detection time abnormal as driver attention, alert device; Also can networking, as a part for motor vehicle, driver's management system, realize accident handling prediction scheme determine in advance with accident after the analysis of causes.
Accompanying drawing explanation
Fig. 1 is system schematic of the present invention;
Fig. 2 is nine direction schematic diagram of driver's sight line of the present invention.
Fig. 3 is driver's gaze tracking schematic diagram of the present invention.
Fig. 4 is driver attention state estimation table of the present invention.
Embodiment
Embodiment one:
As shown in Figure 1, a kind of for the remote monitoring of driver and the system of abnormity early warning, comprise for detect and judge the video of driver's direction of visual lines detect machine 1 with for detecting the GPS/ Big Dipper dual mode receiver 2 of vehicle position, travel speed, with for the treatment of data, output terminal that described video detects machine 1 and GPS/ Big Dipper dual mode receiver 2 judges that the input end of the processor 3 of driver attention is electrically connected respectively; The output terminal of described processor 3 is electrically connected with warning device 5.The output terminal of processor 3 is electrically connected with 3G wireless router 4, and described 3G wireless router 4 carries out wireless telecommunications with management and control center, backstage 6.
Further, described video detects machine 1 and comprises camera 1-1 and main frame 1-2, and the output terminal of described camera 1-1 is electrically connected with main frame 1-2, and the output terminal of main frame 1-2 is electrically connected with infrared illumination lamp 1-3.Adjustment camera 1-1 makes it aim at driver's face, and makes driver's face account for more than 1/3 of collection picture; Regulate infrared illumination lamp 1-3, make driver's face be positioned at light filling scope; Camera 1-1 will collect driver's face video image and flow to main frame 1-2, according to facial characteristics method, main frame 1-2 show that nine directions of driver's sight line are transferred to processor 3.
Further, described warning device 5 comprises the double jump lamp 5-4 of warning light 5-1, loudspeaker 5-2 and motor vehicle, the output terminal of described processor 3 is electrically connected with the gauge tap 5-3 of double jump lamp with warning light 5-1, loudspeaker 5-2 respectively, makes warning light 5-1 can by two kinds of frequency scintillations; The loudspeaker 5-2 of adjustment and installation in pilothouse, makes it can be operated in two kinds of states, and one is bass, low frequency mode, and one is high pitch, high frequency mode; The gauge tap 5-3 of access motor vehicle double jump lamp, makes double jump lamp 5-4 accept Non-follow control, also can accept the control of processor 3.
Embodiment two:
For the remote monitoring of driver and a method for abnormity early warning, comprise the steps:
(1) during well lighted on daytime, infrared illumination lamp is closed, camera shooting driver's facial characteristics picture is also sent to main frame, main frame according to eyes, the nose of video location driver, according to the Distance Judgment driver of left and right pupil barycenter respectively and between nose subpoint be " left side depending on ", " right side depending on " or " facing ": L1<L2 be " right side depending on ", L1>L2 is " left side is looked "; Again according to the left and right central point of pupil barycenter line and the distance Dx of nose and distance Do when facing carry out size compare judge that driver is " above depending on ", " under depending on " or " facing ": Dx>Do as " above depending on ", Dx<Do be " under look " (as shown in Figure 2).If detect and obtain L1>L2, Dx<Do, then judging that driver's direction of visual lines is lower left, is namely observe left-hand mirror to observe the traffic conditions of motor vehicle left rear side; Obtaining L1>L2, Dx=Do if detected, then judge to drive artificial " left side is looked ", is namely the traffic conditions that observation left side observes on the left of motor vehicle.Meanwhile, judged result is transferred to processor by main frame;
(2) position coordinates of GPS/ Big Dipper dual mode receiver harvester motor-car is urban road, speed is 40-60 kilometer/hour, and is transferred to processor;
(3) processor processes according to the information received, and detects that the interval time that driver observes the left and right or rear side traffic conditions of institute's steering vehicle by left and right or rearview mirror is 10-20 second, judges that driver attention disperses;
(4) processor drives loudspeaker to send bass and warning light dodges slowly, in advance to driver's early warning, to point out his dispersion attention, improve notice, the generation avoided traffic accident;
(5) simultaneously, driver's picture, dispersion attention situation and vehicle position coordinate, speed data once send to management and control center, backstage by 3G wireless router is per second by processor.
Embodiment three:
For the remote monitoring of driver and a method for abnormity early warning, comprise the steps:
(1) when evening, light was bad, host driven infrared illumination lamp is opened and is carried out light filling, camera shooting driver's facial characteristics video is also sent to main frame, according to the size between the distance L1 of left and right pupil barycenter respectively and between nose subpoint, L2, main frame, according to eyes, the nose of video location driver, judges that driver is " left side depending on ", " right side depending on " or " facing ": L1<L2 is " right side depending on ", L1>L2 is " left side is looked "; Again according to the left and right central point of pupil barycenter line and the distance Dx of nose and distance Do when facing carry out size compare judge that driver is " above depending on ", " under depending on " or " facing ": Dx>Do as " above depending on ", Dx<Do be " under look " (as shown in Figure 2).If detect and obtain L1>L2, Dx<Do, then judging that driver's direction of visual lines is lower left, is namely observe left-hand mirror to observe the traffic conditions of motor vehicle left rear side; Obtaining L1>L2, Dx=Do if detected, then judge to drive artificial " left side is looked ", is namely the traffic conditions that observation left side observes on the left of motor vehicle.Meanwhile, judged result is transferred to processor by main frame;
(2) position coordinates of GPS/ Big Dipper dual mode receiver harvester motor-car is national highway, speed is 60-100 kilometer/hour, and is transferred to processor;
(3) processor processes according to the information received, and detects that driver observes the left and right or rear side traffic conditions of institute's steering vehicle interval time by left and right or rearview mirror is for more than 30 seconds, judges driver attention severely subnormal;
(4) processor drives that loudspeaker send high pitch, warning light carries out quick flashing, and turns on double jump lamp and warn periphery driving vehicle; To remind driver to improve notice, the generation avoided traffic accident;
(5) simultaneously, driver's picture, dispersion attention situation and vehicle position coordinate, speed data once send to management and control center, backstage by 3G wireless router is per second by processor; Management and control center, backstage is by 3G wireless router call-prompting driver.
Embodiment four:
As shown in Figure 2, video detects machine and is detecting on driver's face contour basis, by eyes and the nose of signature analysis location driver, and then detects the left and right pupil position (LP, RP) of driver and the position (NS) of nose.The barycenter of left pupil, right pupil is connected, obtain straight line RPLP, a straight line perpendicular to RPLP is drawn from driver's nose (NS), then the intersection point (P) of this straight line and RPLP is the subpoint of nose at straight line RPLP, measures the distance L1 between right pupil barycenter and nose subpoint, distance L2 between left pupil barycenter and nose subpoint.If L1=L2, then drive artificial " facing ", namely direction of visual lines is dead ahead; If L1<L2, then drive artificial " right side is looked ", namely direction of visual lines is right; If L1>L2, drive artificial " left side is looked ", namely direction of visual lines is left.
Measure the central point (D) of straight line RPLP again and driver faces time nose (NS) between distance Do, then measure the real-time distance Dx between nose (NS) and central point (D); If Dx=Do, drive artificial " facing ", direction of visual lines is dead ahead; If Dx<Do, drive artificial " under look ", namely direction of visual lines is below; If Dx>Do, drive artificial " above looking ", namely direction of visual lines is top.
As Fig. 3 shows, the testing result of above-mentioned driver left and right direction of visual lines and the testing result of upper and lower direction of visual lines are merged, nine directions of driver's sight line can be obtained, i.e. front, left, right, top, upper left side, upper right side, below, lower left and lower right.If detect driver's direction of visual lines be the right side depending on and under look, then judge that driver's direction of visual lines is lower right.
Processor processes according to the driver's direction of visual lines received, motor vehicle current position coordinates (longitude, latitude and height) and travel speed, judge driver attention state according to driver by left and right, that institute's steering vehicle observed by rearview mirror interval time that is left and right, rear side traffic conditions, be divided into level Four: 0 grade: driver attention is normal; 1 grade: driver attention disperses; 2 grades: driver attention is abnormal; 3 grades: driver attention severely subnormal.
Observe left and right, rearview mirror based on driver and understand the current travel speed of time interval that automobile surrounding and rear traffic conditions need, motor vehicle, the processor state of attention current to driver makes estimation.As shown in Figure 4, if driver observes arranged on left and right sides or rear traffic conditions more than 1 time in time by left and right or rearview mirror in 10 seconds, and direction of visual lines 80% time is towards motor-driven vehicle going front, then judge that driver attention is normal, be expressed as 0 grade.If vehicle running speed is 40-60 kilometer/hour, driver was more than 10 seconds and be less than 20 seconds and just observe arranged on left and right sides or rear traffic conditions 1 time by left and right or rearview mirror, then judging that driver attention disperses, is 1 grade.If vehicle running speed is 60-100 kilometer/hour, driver was more than 10 seconds and be less than 20 seconds and just observe arranged on left and right sides or rear traffic conditions 1 time by left and right or rearview mirror, then judging driver attention exception, is 2 grades.If vehicle running speed is 60-100 kilometer/hour, driver just observed arranged on left and right sides or rear traffic conditions 1 time by left and right or rearview mirror more than 30 seconds, then judging driver attention severely subnormal, is 3 grades.
The dispersion occurred for driver attention state, exception, severe exception status, vehicle alarming device provides sound and light alarm information by the loudspeaker of motor vehicle and the red light arranged on the dash panel, and prompting driver focus one's attention on.When driver attention is normal, vehicle carried prompt facility does not export; When driver attention disperses, vehicle carried prompt facility output low frequency, low-intensity voice signal, and drive the red light on instrument panel to glimmer at a slow speed to point out; When driver attention occurs abnormal, vehicle carried prompt facility exports high frequency, high sound intensity tone signal, and drives the red light fast blink on instrument panel to point out; When severely subnormal appears in driver attention, vehicle carried prompt facility exports high frequency, high sound intensity tone signal, and drives the red light fast blink on instrument panel to point out, and the double jump lamp simultaneously turning on motor vehicle is warned periphery driving vehicle.
Processor once sends data to management and control center, backstage by 3G wireless router is per second, driver's picture that data comprise vehicle position coordinate (longitude, latitude and height), travel speed, driver attention state and camera are captured of transmission.If 3G wireless router is not because having 3G signal or network failure, carried on vehicle monitoring can not be networked with early warning system and management and control center, backstage, then driver's picture that the vehicle position coordinate gathered (longitude, latitude and height), travel speed, driver attention state and camera are captured is temporarily stored in vehicle-mounted memory device, after 3G wireless network is working properly, uploads to management and control center, backstage again.Management and control center, backstage is based on the information upload of motor vehicle, motor vehicle is presented on electronic chart in real time, if driver attention is abnormal, back-stage management personnel can check the candid photograph picture of driver and converse with driver, remind driver to keep visual cognitive ability in time.
Above embodiment is not limited only to protection scope of the present invention, all modify based on basic thought of the present invention or change all belong to protection scope of the present invention.
Claims (6)
1., for the remote monitoring of driver and a method for abnormity early warning, it is characterized in that: comprise the steps:
(1) take driver's facial characteristics video by the camera in video detection machine and sent to main frame, according to facial characteristics method, main frame show that nine directions of driver's sight line are transferred to processor;
(2) by position coordinates and the speed data of GPS/ Big Dipper dual mode receiver harvester motor-car, and processor is transferred to;
(3) processor processes according to the information received, and judges driver attention state according to driver by left and right, that institute's steering vehicle observed by rearview mirror interval time that is left and right, rear side traffic conditions;
(4) processor is selected to drive warning device to report to the police accordingly according to the state of attention judged;
(5) driver's picture, driver attention state and vehicle position coordinate, speed data once send to management and control center, backstage by 3G wireless router is per second by processor.
2. method according to claim 1, is characterized in that: the main frame in described step (1) is that environmentally light intensity opens light filling or closedown to what drive infrared illumination lamp.
3. method according to claim 1, it is characterized in that: the facial characteristics method in described step (1) is eyes, the nose of main frame according to the video location driver of input, according to the distance of left and right pupil barycenter respectively and between nose subpoint, and the left and right central point of pupil barycenter line and the distance of nose judge nine directions drawing driver's sight line; Nine directions of described driver's sight line are front, left, right, top, upper left side, upper right side, below, lower left and lower right.
4. method according to claim 1, is characterized in that: the driver attention state in described step (3) is divided into that notice is normal, dispersion attention, notice are abnormal with notice severely subnormal level Four.
5. method according to claim 1, is characterized in that: the warning device in described step (4) comprises warning light, loudspeaker and the motor vehicle double jump lamp of being located at pilothouse; When processor judges that driver attention disperses, processor drives loudspeaker to send bass and warning light dodges slowly; When processor judges that driver attention is abnormal, processor drives loudspeaker to send high pitch and warning light carries out quick flashing; When processor judges driver attention severely subnormal, processor drives that loudspeaker send high pitch, warning light carries out quick flashing, and turns on double jump lamp and warn periphery driving vehicle.
6. method according to claim 1, is characterized in that: the driver attention state in described step (5), if during severely subnormal, management and control center, backstage is by 3G wireless router call-prompting driver.
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| CA2972892A1 (en) | 2015-01-02 | 2016-07-07 | Driven by Safety, Inc. | Mobile safety platform |
| KR102381140B1 (en) | 2015-02-25 | 2022-03-31 | 엘지전자 주식회사 | Digital device and method for monitering driver thereof |
| JP2018082233A (en) * | 2016-11-14 | 2018-05-24 | ソニー株式会社 | Monitoring system, monitoring sensor device, monitoring method, and program |
| CN106530828A (en) * | 2016-12-07 | 2017-03-22 | 深圳市元征科技股份有限公司 | Vehicle driving state early-warning method and device |
| CN109766735A (en) * | 2017-11-02 | 2019-05-17 | 北京嘀嘀无限科技发展有限公司 | Travel monitoring method, device, mobile terminal and computer readable storage medium |
| DE102018209440A1 (en) * | 2018-06-13 | 2019-12-19 | Bayerische Motoren Werke Aktiengesellschaft | Methods for influencing systems for attention monitoring |
| CN110009870A (en) * | 2019-02-21 | 2019-07-12 | 江西派路特科技有限公司 | The intelligent identification Method of driver fatigue monitor system driver's eyes |
| CN111580522A (en) * | 2020-05-15 | 2020-08-25 | 东风柳州汽车有限公司 | Control method for unmanned vehicle, and storage medium |
| CN113744498B (en) * | 2020-05-29 | 2023-10-27 | 杭州海康汽车软件有限公司 | System and method for driver attention monitoring |
| CN112215115A (en) * | 2020-09-30 | 2021-01-12 | 易显智能科技有限责任公司 | Method and related device for concentration capability evaluation in driving training |
| CN112348095A (en) * | 2020-11-10 | 2021-02-09 | 易显智能科技有限责任公司 | Method and related device for evaluating safe driving consciousness of driver |
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