CN103700217A - Fatigue driving detecting system and method based on human eye and wheel path characteristics - Google Patents
Fatigue driving detecting system and method based on human eye and wheel path characteristics Download PDFInfo
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Abstract
The invention discloses a fatigue driving detecting system based on human eye and wheel path characteristics. The system comprises a vehicle terminal information processing module, a GPS (Global Position System) module, a wireless communication module and a vehicle monitoring management center, wherein the vehicle terminal information processing module comprises a CCD (Charge Couple Device) camera image acquisition module, data storage equipment, an alarm module and an embedded microprocessor; the vehicle terminal information processing module is located inside a vehicle and is used together with the GPS module for the information collection and processing of a terminal; the processed information exchanges data with the vehicle monitoring management center by the wireless communication module so as to realize the remote control on the vehicle terminal by the vehicle monitoring management center. The invention also relates to a fatigue driving detecting method based on human eye and wheel path characteristics. The method comprises eye state real-time monitoring, image conversion, wheel path judgment and skin color sampling. The modular design is adopted, the structure is simple, the anti-jamming capacity is strong, the applicability is wide, the GPS wheel path characteristic detection is added, and double precautions against fatigue driving are realized.
Description
Technical field
The present invention relates to fatigue-driving detection technology field, relate in particular to a kind of fatigue driving detecting system and method based on human eye and wheelpath feature.
Background technology
Along with the day by day rise of the growing and automobile consumption of traffic, the problem of the especially professional driver's of driver fatigue driving starts to receive publicity, because cause the one of the main reasons of pernicious traffic hazard during fatigue driving.According to ASSOCIATE STATISTICS, China has more than 70% traffic hazard to relate to fatigue driving.For fatigue driving, have different means, being summed up is exactly the driver behavior that utilizes sensor feedback driver, notes abnormalities and takes at once effective means.The SAM drowsy driving warning system that for example U.S. Digital Installations company develops, utilization is placed on the corner of the magnetic stripe detection bearing circle of bearing circle below, if can't detect bearing circle in a period of time, carry out any corrective action, system will be thought driver tired driving and report to the police, but can be very serious in the many place wrong reports of bend.
At present, with many fatigue driving detecting system adopts is the status information of analyst's thing facial expression and eye, monitor, although this system can effectively be monitored or relieving fatigue is driven, but, due to the difference of individual facial characteristics, add the error that information collecting method brings, this class fatigue driving detecting system cannot be made accurate judgement to fatigue driving meticulously, and also there will be the situations such as error in judgement or erroneous judgement to occur.
Summary of the invention
Object of the present invention, overcome exactly the deficiencies in the prior art, provide a kind of and judged whether fatigue driving of driver by detecting the closure state of human eye in a period of time, and in conjunction with the embedded technology of modern popular, adopt efficient software algorithm, for Different Individual, customize different models, improved the accuracy of detection to fatigue driving; And utilize the auxiliary of gps data, and judge vehicle-state, take in time fatigue driving detecting system and the method based on human eye and wheelpath feature of specified measure.
In order to achieve the above object, the invention provides a kind of fatigue driving detecting system based on human eye and wheelpath feature, comprise vehicle termination message processing module, GPS module, wireless communication module and vehicle monitoring management center, described vehicle termination message processing module comprises CCD camera image acquisition module, data storage device, alarm modules and embedded microprocessor, described vehicle termination message processing module is positioned at vehicle interior, be used from information acquisition and the processing of terminal with GPS module one, the information exchange of described processing is crossed wireless communication module and vehicle monitoring management center swap data, realize the Long-distance Control of vehicle monitoring management center to vehicle termination.
In order to process view data more accurately, described CCD camera image acquisition module is delivered to embedded microprocessor for the view data collecting, by embedded microprocessor, image is compressed and expressive features is extracted, through expressive features and the master pattern extracting, compare, then judge whether fatigue driving of driver.
In order further to process view data more accurately, the described expressive features extracting every a time period all can be sent in vehicle monitoring management in the heart through wireless communication module, and keeper judges whether fatigue driving of driver according to these information.
In order to make communication better, what described wireless communication module adopted is the 3G network based on the current domestic WCDMA of UNICOM or telecommunications CDMA2000.
For the processing of can reporting to the police in time, report described alarm modules to comprise a voice prompting device and connect the various sensors in car, when finding driver tired driving, system is vertical and adopt voice message or oil-break power break to force parking measure.
For can be better to vehicle location, described GPS module is for generating the collection of the geographic position data of wheelpath, the described geographical location information that collects, and deliver to embedded microprocessor and coordinate digital map wheelpath model, finally, by 3G network, delivering to vehicle monitoring management center judges.
A method for detecting fatigue driving based on human eye and wheelpath feature, comprises eye realtime monitoring, image conversion, and wheelpath is judged and colour of skin sampling, is comprised the following steps:
Step 1: system enters after normal work, in a period of time of advancing at car engine, some features of system meeting learner driver eye are as the standard of normal driving, then ensuing garage, enter in way, system can real-time monitoring driving person eye state, make the whether judgement of fatigue driving of driver;
The image of step 2:CCD camera collection is transformed into YCbCr color space, and sets up complexion model, then calculates the mathematical function of the similarity degree of pixel and the colour of skin in image;
Step 3: when driver's eye closure state and model contrast do not conform to, and wheelpath is while starting out-of-flatness, can judge that driver is fatigue driving certainly, system can provide voice message automatically, if situation continued, can realize the pressure parking measure of oil-break power break etc. according to the order at vehicle monitoring management center;
Step 4: according to the Cb of pixel after input sample and Cr value, by mathematical function, calculate the colour of skin similarity of this point, judgement obtains the probability that sampled point is the colour of skin, has obtained after a large amount of skin pixels, show that area of skin color is in the distribution in CbCr region, thereby extract face image.
In order better color to be distinguished, described YCbCr is the color representation form that is widely used in the fields such as TV demonstration, have the principle of compositionality with human visual perception similar process, the described colour of skin has good distribution and cluster in YCbCr color space.
In order to make that driver's eye feature is better identified, described by the eye image information of extracting, can show that eyelid covers the area of pupil, the area that driver's eyelid of fatigue state covers pupil surpasses 80%, shared time scale while adding up eyes closed within a certain period of time, judges whether fatigue driving of driver.
The invention has the beneficial effects as follows:
1, adopt modular design, simple in structure and rigorous, antijamming capability is strong, and maintenance cost is low, is applicable to various road conditions.
2, adopt high definition CCD camera, increase infrared night viewing function, even the detection effect of still realizing ideal in the situation that low-light (level) or driver wear glasses.
3, the GPS wheelpath feature detection increasing, the dual prevention to fatigue driving.
4, image is processed by dsp processor complete independently, has reduced the data processing amount of system, has improved image processing accuracy; The inner various logic of flush bonding processor disposal system is realized, and guarantees the stable of system software work.
5, the algorithm of system uniqueness, makes system customize different models for different drivers, has reduced the detection error of coming because of different personal characteristics.
6, cordless communication network adopts 3G network rather than GSM/GPRS, and network signal intensity is high, wide coverage, and data rate is fast, has avoided various communication error and the accident because of network problem, come.
Accompanying drawing explanation
Fig. 1 is of the present invention a kind of based on human eye and the fatigue driving detecting system of wheelpath feature and the module diagram of method;
Fig. 2 is of the present invention a kind of based on human eye and the fatigue driving detecting system of wheelpath feature and the system flowchart of method;
Fig. 3 is GPS module workflow diagram.
Embodiment
With reference to the accompanying drawings a kind of fatigue driving detecting system and method based on human eye and wheelpath feature of the present invention is described further:
As Figure 1-3, a kind of for fatigue driving detecting system and method based on human eye and wheelpath feature, comprise vehicle termination message processing module, GPS module, wireless communication module and vehicle monitoring management center, described vehicle termination message processing module comprises CCD camera image acquisition module, data storage device, alarm modules and embedded microprocessor, described CCD camera image acquisition module is delivered to embedded microprocessor for the view data collecting, by embedded microprocessor, image is compressed and expressive features is extracted, through expressive features and the master pattern extracting, compare, then judge whether fatigue driving of driver, the described expressive features extracting every a time period all can be sent in vehicle monitoring management in the heart through wireless communication module, and keeper judges whether fatigue driving of driver according to these information, the 3G network of described wireless communication module based on the current domestic WCDMA of UNICOM or telecommunications CDMA2000, described alarm modules comprises the various sensors in a voice prompting device and connection car, and when finding driver tired driving, system is vertical and adopt voice message or oil-break power break to force parking measure, described GPS module is for generating the collection of the geographic position data of wheelpath, the described geographical location information that collects, and deliver to embedded microprocessor cooperation digital map wheelpath model, and last, by 3G network, deliver to vehicle monitoring management center and judge, data memory module can be SD card, or hard disk, is used for store various kinds of data and benchmark model, described vehicle termination message processing module is positioned at vehicle interior, be used from information acquisition and the processing of terminal with GPS module one, the information exchange of described processing is crossed wireless communication module and vehicle monitoring management center swap data, realizes the Long-distance Control of vehicle monitoring management center to vehicle termination.
A method for detecting fatigue driving based on human eye and wheelpath feature, comprises eye realtime monitoring, image conversion, and wheelpath is judged and colour of skin sampling, is comprised the following steps:
Step 1: system enters after normal work, in a period of time of advancing at car engine, some features of system meeting learner driver eye are as the standard of normal driving, then ensuing garage, enter in way, system can real-time monitoring driving person eye state, make the whether judgement of fatigue driving of driver;
The image of step 2:CCD camera collection is transformed into YCbCr color space, and sets up complexion model, then calculates the mathematical function of the similarity degree of pixel and the colour of skin in image;
Step 3: when initialization GPS equipment, after system normal operating conditions, GPS module is constantly to bus location, and coordinate electronic chart to form wheelpath automobile position data, definite foundation of judgement driver tired driving is, when driver's eye closure state and model contrast do not conform to, and wheelpath is while starting out-of-flatness, can judge that driver is fatigue driving certainly, system can provide voice message automatically, if situation continued, can realize the pressure parking measure of oil-break power break etc. according to the order at vehicle monitoring management center;
Step 4: according to the Cb of pixel after input sample and Cr value, by mathematical function, calculate the colour of skin similarity of this point, judgement obtains the probability that sampled point is the colour of skin, has obtained after a large amount of skin pixels, show that area of skin color is in the distribution in CbCr region, thereby extract face image.
Described YCbCr is the color representation form that is widely used in the fields such as TV demonstration, has the principle of compositionality with human visual perception similar process, and the described colour of skin has good distribution and cluster in YCbCr color space; Described by the eye image information of extracting, can show that eyelid covers the area of pupil, the area that driver's eyelid of fatigue state covers pupil surpasses 80%, and shared time scale while adding up eyes closed within a certain period of time judges whether fatigue driving of driver.
Claims (9)
1. the fatigue driving detecting system based on human eye and wheelpath feature, comprise vehicle termination message processing module, GPS module, wireless communication module and vehicle monitoring management center, it is characterized in that: described vehicle termination message processing module comprises CCD camera image acquisition module, data storage device, alarm modules and embedded microprocessor, described vehicle termination message processing module is positioned at vehicle interior, be used from information acquisition and the processing of terminal with GPS module one, the information exchange of described processing is crossed wireless communication module and vehicle monitoring management center swap data, realize the Long-distance Control of vehicle monitoring management center to vehicle termination.
2. the fatigue driving detecting system based on human eye and wheelpath feature according to claim 1, it is characterized in that: described CCD camera image acquisition module is delivered to embedded microprocessor for the view data collecting, by embedded microprocessor, image is compressed and expressive features is extracted, through expressive features and the master pattern extracting, compare, then judge whether fatigue driving of driver.
3. the fatigue driving detecting system based on human eye and wheelpath feature according to claim 1, it is characterized in that: the described expressive features extracting every a time period all can be sent in vehicle monitoring management in the heart through wireless communication module, keeper judges whether fatigue driving of driver according to these information.
4. the fatigue driving detecting system based on human eye and wheelpath feature according to claim 1, is characterized in that: the 3G network of described wireless communication module based on the current domestic WCDMA of UNICOM or telecommunications CDMA2000.
5. the fatigue driving detecting system based on human eye and wheelpath feature according to claim 1, it is characterized in that: described alarm modules comprises a voice prompting device and connects the various sensors in car, when finding driver tired driving, system is vertical and adopt voice message or oil-break power break to force parking measure.
6. the fatigue driving detecting system based on human eye and wheelpath feature according to claim 1, it is characterized in that: described GPS module is for generating the collection of the geographic position data of wheelpath, the described geographical location information that collects, and deliver to embedded microprocessor and coordinate digital map wheelpath model, finally, by 3G network, delivering to vehicle monitoring management center judges.
7. the method for detecting fatigue driving based on human eye and wheelpath feature, comprises eye realtime monitoring, image conversion, and wheelpath is judged and colour of skin sampling, is comprised the following steps:
Step 1: system enters after normal work, in a period of time of advancing at car engine, some features of system meeting learner driver eye are as the standard of normal driving, then ensuing garage, enter in way, system can real-time monitoring driving person eye state, make the whether judgement of fatigue driving of driver;
The image of step 2:CCD camera collection is transformed into YCbCr color space, and sets up complexion model, then calculates the mathematical function of the similarity degree of pixel and the colour of skin in image;
Step 3: when driver's eye closure state and model contrast do not conform to, and wheelpath is while starting out-of-flatness, can judge that driver is fatigue driving certainly, system can provide voice message automatically, if situation continued, can realize the pressure parking measure of oil-break power break etc. according to the order at vehicle monitoring management center;
Step 4: according to the Cb of pixel after input sample and Cr value, by mathematical function, calculate the colour of skin similarity of this point, judgement obtains the probability that sampled point is the colour of skin, has obtained after a large amount of skin pixels, show that area of skin color is in the distribution in CbCr region, thereby extract face image.
8. a kind of method for detecting fatigue driving based on human eye and wheelpath feature according to claim 7, it is characterized in that: described YCbCr is the color representation form that is widely used in the fields such as TV demonstration, have the principle of compositionality with human visual perception similar process, the described colour of skin has good distribution and cluster in YCbCr color space.
9. a kind of method for detecting fatigue driving based on human eye and wheelpath feature according to claim 7, it is characterized in that: described by the eye image information of extracting, can show that eyelid covers the area of pupil, the area that driver's eyelid of fatigue state covers pupil surpasses 80%, shared time scale while adding up eyes closed within a certain period of time, judges whether fatigue driving of driver.
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| CN111753586A (en) * | 2019-03-28 | 2020-10-09 | 合肥工业大学 | Fatigue driving monitoring device and method |
| CN110497850A (en) * | 2019-08-07 | 2019-11-26 | 武汉理工大学 | A kind of intelligent network connection vehicle security drive monitoring system based on intensified learning |
| CN112991718A (en) * | 2019-12-13 | 2021-06-18 | 丰田自动车株式会社 | Driver assistance device, non-transitory storage medium storing driver assistance program, and driver assistance system |
| CN115359545A (en) * | 2022-10-19 | 2022-11-18 | 深圳海星智驾科技有限公司 | Staff fatigue detection method and device, electronic equipment and storage medium |
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Application publication date: 20140402 |