CN102568158A - Alarming system for automobile vehicle fatigue driving - Google Patents
Alarming system for automobile vehicle fatigue driving Download PDFInfo
- Publication number
- CN102568158A CN102568158A CN2010105883489A CN201010588348A CN102568158A CN 102568158 A CN102568158 A CN 102568158A CN 2010105883489 A CN2010105883489 A CN 2010105883489A CN 201010588348 A CN201010588348 A CN 201010588348A CN 102568158 A CN102568158 A CN 102568158A
- Authority
- CN
- China
- Prior art keywords
- information
- network
- telegon
- gateway
- responsible
- 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
Images
Abstract
The invention provides an alarming system for automobile vehicle fatigue driving, which adopts a star-shaped network structure. A network can be formed only by coordinators and sensor equipment, so that the networking complexity level of the whole system is lowered. The intermediate coordinator is responsible for initiating and maintaining the network and sending collected information to a high-property processor to integrate and make a decision on the information. A fatigue judging result is sent to an alarm by a processor. The alarming system has stronger applicability.
Description
Technical field
The present invention relates to a kind of fatigue drive of car caution system, belong to technical field of automotive electronics.
Background technology
Fast development along with car industry; Relevant with it traffic hazard is also being increased fast; And in these accidents; The traffic hazard that fatigue driving caused accounts for 16% of sum, on highway, has surpassed 20% especially, therefore develops emphasis and difficult point that fatigue driving prevention and warning device become current fatigue driving research.Along with the appearance and the development of new technology, the present invention proposes the fatigue driving system that combines with the information fusion decision-making technic based on the radio sensing network technology.Through single-chip microcomputer control technology is combined with it; Be incorporated in the design of vehicle sensors, not only can save the installation of telecommunication cable, reduce the installation work amount; Can also realize the data transmission and the network interconnection safely and reliably, thereby develop the stronger vehicle sensors of applicability.
Summary of the invention
How to develop fatigue driving prevention and this technical matters of warning device in order solving, to the invention discloses a kind of fatigue drive of car caution system.
Shorter based on each node communication distance in the car, need not router extended network coverage rate, the present invention adopts star-shaped network structure, only needs telegon and each sensor device can constitute network, thereby reduces the networking complexity of total system.Middle telegon is responsible for initiating and maintaining network, and will collect to such an extent that information is given the fusion decision-making that high-performance processor is accomplished information, passes to attention device to tired judged result by processor again.
(1) deviation detection, eyes frequency detecting, eyes closed time detecting, the information of this 4 place elder generation of yawning by sensor collection original image; The dsp chip of again information being passed to separately goes to handle; Obtain tired information, at last the acquired signal process result is transferred to central processing module.Here adopt the CC2430 of TI company, integrated radio frequency (RF) front end, internal memory and microcontroller on the single CC2430 chip.Under reception and emission mode, current loss is lower than 27mA or 25mA respectively.It is relatively to be fit to that CC2430 requires the very requirement of long battery life for onboard system.The information at this 4 place all sends to telegon by CC2430 at last.
2) telegon/gateway is responsible for networking and each end sensor of management; The networking basic procedure is: at first carry out energy scan and activate scanning channel, if find suitable channel, then create 16 unique network PAN ID; Fixedly installing in the network short address of ZigBee network system telegon/gateway is 0; Begin then to around broadcast network information, and accept to handle the request of the adding network in its network coverage, add the information of new node then.
The information that sensor node is sent is not handled and preserved to telegon, and it is directly given high-performance processor with tired information and handles, like this telegon supervising the network better.Processor is responsible for realizing the fusion judgement of a plurality of fatigue characteristics.This model is with telegon and the unified design of signal gathering node (gateway), and telegon/gateway is responsible for and communicating by letter of each terminal device and communicating by letter of outer net.If the driver tired driving situation is serious; When being easy to cause traffic hazard, telegon is sent driver information into gateway, changes into the information format of external network then; Through GSM/GPRS mode and highway safety Netcom letter, mail to remote supervisory and control(ling) equipment at last.
Driver's face-image obtains through thermal camera and LED, and the LED that wherein is used to throw light on can send the light that spectrum is respectively 850nm and 950nm.When using the Different Red external spectrum, eye pupil can demonstrate different colours.When using the 850nm infrared illumination, pupil demonstrates redness, the red-eye effect that promptly is commonly called as; And use the 950nm infrared illumination, pupil but demonstrates black.Two width of cloth images are except pupil, and other position of face all is the same.Through comparing this two width of cloth image, just can be easy to navigate to eye, handle obtaining facial parameter and realizing the eye tracking again through a series of images.In addition, use infrared LED when picture quality is guaranteed in the interference of minimizing ambient light, can also reduce interference, because its light almost can't see to driver's vision.
In order in the limited time, to accomplish the processing of great amount of images data; The DSP picture processing chip adopts TMS320DM642; Its image processing speed can reach more than per second 25 frames, just can in 40ms, accomplish the calculation process to a two field picture, and adding the CCD camera is PAL-system per second 25 frames; These equipment are enough accomplished real-time Flame Image Process, accomplish to driver's frequency of wink accelerate, eyes closed is slow, the extraction and the calculating of yawning fatigue characteristic.
Lane shift detects and promptly reacts indirectly driver's tired sign based on the behavior of vehicle.Towards vehicle traveling direction, the travel direction of monitor vehicle is monitored steering indicating light simultaneously with the CCD camera for we.Steering indicating light is not opened if automobile steering changes, and thinks that then the driver has the possibility that gets into fatigue driving.The detection of vehicle behavior is not based on artificial performance activity; The complementary facial deficiency that detects of ability and artificially difference like this; Not because tired but, can give yet and to remind simultaneously because other factors (like mobile phone, music, child) cause absent mindedly wrongheaded the time the driver.
With 120ms is a minor cycle, because native system can collect the image of a frame in 40ms, then back 80ms is used for Flame Image Process, in one minute, has the image of 500 frames like this.Analyze driver's tired situation through these images.According to the ergonomics principle; When fatigue appears in human body; Frequency of wink certain period than just often obviously accelerating, this is that the driver attempts to keep the reaction of regaining consciousness when fatigue, gets into the more profound characteristic that will occur a time lengthening of eyes closed when tired.Eyes one are opened the process of closing when clear-headed only needs several frames to fall time (in 0.25 second) of tens frames, then needs 20 frames or one or two second when tired; The vertical radius of mouth obviously strengthens in the time of yawning.Gather earlier the frequency of wink of driver normal the time, eyes closed time and mouth information, and then the situation when fatigue takes place compares, and judges degree of fatigue with this.We adopt fuzzy logic method to come collecting to such an extent that information merges decision-making.For example: have tiredly unusual the time when telegon/gateway receives only frequency of wink, time nictation, will carry out the fusion of following mode:
(1) foundation of input and output variable membership function: for two input variable eyes closed time and a frequency of wink and output variable (driver's fatigue state) once; Define three kinds of fuzzy sets in various degree respectively; To each variable, select suitable membership function.Its explanation is as follows: frequency of wink={ fast, in, slowly }; Ask during nictation={ short, in, long }; Fatigue state={ not tired, slight fatigue, fatigue }.
(2) foundation of obfuscation and fuzzy inference rule: obfuscation is to be transformed into an accurate measured value in the corresponding domain of input variable through normalization; Again via defined membership function; Be translated into suitable obfuscation linguistic variable, just degree of membership is used for fuzzy reasoning.In this article; Input variable is time nictation and frequency of wink; The image that we gather obtains eyes after treatment and opens the situation of closing, and with frequency of wink convert that frequency of wink is fast into, in the frequency of wink, frequency of wink is slow, time nictation is long, in time nictation, fuzzy language such as nictation is short.Because we respectively select the fuzzy set of three kinds of degree for use for frequency of wink and time nictation.Therefore, it can get 32=9 bar control law each other at most.
(3) fuzzy sharpening: fuzzy sharpening is the fuzzy variable behind the fuzzy logic inference to be converted into actual operational ton show.The importance of a time of eyes closed will be higher than frequency of wink, because duration nictation has longlyer represented the time of eyes eyes closed in the nictation process long more, no matter driver fatigue whether, eyes closed represents danger high more more for a long time.
Total system of the present invention has unique advantage, has avoided the problem of vehicle body wiring cost height and serious interference; Adopted multi-sensor information fusion technology, preferably the behavior of analysis decision driver fatigue.Therefore, the fatigue drive of car monitoring system based on the ZigBee technology has certain experiences meaning and application promise in clinical practice to reducing the traffic hazard that causes because of fatigue.
Description of drawings
Fig. 1 is a fatigue drive of car caution system synoptic diagram.Wherein, infrared CCD image capture module-1; Frequency of wink DSP processing module-2; The time D of blinking SP Flame Image Process-3; The DSP image processing module-4 of yawning; Common CCD detects direction of traffic-5; Steering indicating light indicating module-6; CC2430-7; Telegon/gateway module-8; High-performance processor module-9; Attention device module-10
Embodiment
Shorter based on each node communication distance in the car, need not router extended network coverage rate, the present invention adopts star-shaped network structure, only needs telegon and each sensor device can constitute network, thereby reduces the networking complexity of total system.Middle telegon is responsible for initiating and maintaining network, and will collect to such an extent that information is given the fusion decision-making that high-performance processor is accomplished information, passes to attention device to tired judged result by processor again.
(1) deviation detection, eyes frequency detecting, eyes closed time detecting, the information of this 4 place elder generation of yawning by sensor collection original image; The dsp chip of again information being passed to separately goes to handle; Obtain tired information, at last the acquired signal process result is transferred to central processing module.Here adopt the CC2430 of TI company, integrated radio frequency (RF) front end, internal memory and microcontroller on the single CC2430 chip.Under reception and emission mode, current loss is lower than 27mA or 25mA respectively.It is relatively to be fit to that CC2430 requires the very requirement of long battery life for onboard system.The information at this 4 place all sends to telegon by CC2430 at last.
2) telegon/gateway is responsible for networking and each end sensor of management; The networking basic procedure is: at first carry out energy scan and activate scanning channel, if find suitable channel, then create 16 unique network PAN ID; Fixedly installing in the network short address of ZigBee network system telegon/gateway is 0; Begin then to around broadcast network information, and accept to handle the request of the adding network in its network coverage, add the information of new node then.
The information that sensor node is sent is not handled and preserved to telegon, and it is directly given high-performance processor with tired information and handles, like this telegon supervising the network better.Processor is responsible for realizing the fusion judgement of a plurality of fatigue characteristics.This model is with telegon and the unified design of signal gathering node (gateway), and telegon/gateway is responsible for and communicating by letter of each terminal device and communicating by letter of outer net.If the driver tired driving situation is serious; When being easy to cause traffic hazard, telegon is sent driver information into gateway, changes into the information format of external network then; Through GSM/GPRS mode and highway safety Netcom letter, mail to remote supervisory and control(ling) equipment at last.
Claims (2)
1. fatigue drive of car caution system is characterized in that:
Adopt star-shaped network structure; Telegon constitutes network with each sensor device, and middle telegon is responsible for initiating and maintaining network, and will collect to such an extent that information is given the fusion decision-making that high-performance processor is accomplished information; Pass to attention device to tired judged result by processor again
Original image is collected at deviation detection, eyes frequency detecting, eyes closed time detecting, this 4 place of yawning earlier by sensor information; The dsp chip of again information being passed to separately goes to handle; Obtain tired information, at last the acquired signal process result is transferred to central processing module, adopt the CC2430 chip of TI company; Integrated radio-frequency front-end, internal memory and microcontroller on the sheet, the information at this 4 place all sends to telegon by CC2430 at last.
Telegon/gateway is responsible for networking and each end sensor of management, and the networking basic procedure is: at first carry out energy scan and activate scanning channel, if find suitable channel; Then create 16 unique network PAN ID; Fixedly installing in the network short address of network system telegon/gateway is 0, begin then to around broadcast network information, and accept to handle the request of the adding network in its network coverage; The information that adds new node then
The information that sensor node is sent is not handled and preserved to telegon; It is directly given high-performance processor with tired information and handles; Processor is responsible for realizing the fusion judgement of a plurality of fatigue characteristics; This model is with telegon and the unified design of signal gathering node, and telegon/gateway is responsible for and communicating by letter of each terminal device and communicating by letter of outer net.If the driver tired driving situation is serious, when being easy to cause traffic hazard, telegon is sent driver information into gateway, changes into the information format of external network then, and last and highway safety Netcom letter mails to remote supervisory and control(ling) equipment.
2. a kind of fatigue drive of car caution system described in claim 1 is characterized in that adopting GSM/GPRS mode and highway safety Netcom letter, mails to remote supervisory and control(ling) equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105883489A CN102568158A (en) | 2010-12-15 | 2010-12-15 | Alarming system for automobile vehicle fatigue driving |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105883489A CN102568158A (en) | 2010-12-15 | 2010-12-15 | Alarming system for automobile vehicle fatigue driving |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102568158A true CN102568158A (en) | 2012-07-11 |
Family
ID=46413482
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010105883489A Pending CN102568158A (en) | 2010-12-15 | 2010-12-15 | Alarming system for automobile vehicle fatigue driving |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102568158A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741496A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal based on machine vision |
| CN105788174A (en) * | 2016-05-04 | 2016-07-20 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal for preventing fatigue driving |
| CN106004884A (en) * | 2016-07-11 | 2016-10-12 | 南昌工学院 | Method and system for realizing real-time identification and danger judgment of road conditions based on complex sensing |
| CN106205057A (en) * | 2016-09-21 | 2016-12-07 | 成都创慧科达科技有限公司 | A kind of DAS (Driver Assistant System) based on ZigBee technology and method |
| CN107303907A (en) * | 2016-04-21 | 2017-10-31 | 现代自动车株式会社 | For the apparatus and method for the sleepiness for determining driver |
| CN109649397A (en) * | 2018-12-21 | 2019-04-19 | 福建省高技汽车服务有限公司 | A kind of fatigue driving detecting system based on car networking |
| CN110254437A (en) * | 2018-03-12 | 2019-09-20 | 世环国际股份有限公司 | The improper deviation judgment module of improper run-off-road judgment method, vehicle and system |
| CN110264705A (en) * | 2018-03-12 | 2019-09-20 | 世环国际股份有限公司 | The improper follow the bus erroneous judgement method for removing of vehicle, erroneous judgement exclude module and system |
-
2010
- 2010-12-15 CN CN2010105883489A patent/CN102568158A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107303907A (en) * | 2016-04-21 | 2017-10-31 | 现代自动车株式会社 | For the apparatus and method for the sleepiness for determining driver |
| CN107303907B (en) * | 2016-04-21 | 2021-08-20 | 现代自动车株式会社 | Device and method for determining drowsiness of driver |
| CN105741496A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal based on machine vision |
| CN105788174A (en) * | 2016-05-04 | 2016-07-20 | 成都贝森伟任科技有限责任公司 | Vehicle anti-collision terminal for preventing fatigue driving |
| CN106004884A (en) * | 2016-07-11 | 2016-10-12 | 南昌工学院 | Method and system for realizing real-time identification and danger judgment of road conditions based on complex sensing |
| CN106205057A (en) * | 2016-09-21 | 2016-12-07 | 成都创慧科达科技有限公司 | A kind of DAS (Driver Assistant System) based on ZigBee technology and method |
| CN110254437A (en) * | 2018-03-12 | 2019-09-20 | 世环国际股份有限公司 | The improper deviation judgment module of improper run-off-road judgment method, vehicle and system |
| CN110264705A (en) * | 2018-03-12 | 2019-09-20 | 世环国际股份有限公司 | The improper follow the bus erroneous judgement method for removing of vehicle, erroneous judgement exclude module and system |
| CN109649397A (en) * | 2018-12-21 | 2019-04-19 | 福建省高技汽车服务有限公司 | A kind of fatigue driving detecting system based on car networking |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102568158A (en) | Alarming system for automobile vehicle fatigue driving | |
| CN103198617A (en) | Fatigue driving warning system | |
| CN104408879B (en) | Method, device and system for processing fatigue driving early warning | |
| CN106647724B (en) | A kind of detection of T BOX information securities and means of defence based on vehicle abnormality data monitoring | |
| CN106709420A (en) | Method for monitoring driving behaviors of driver of commercial vehicle | |
| CN105336105B (en) | A kind of method of preventing fatigue driving, smart machine and system | |
| CN109147279B (en) | Driver fatigue driving monitoring and early warning method and system based on Internet of vehicles | |
| CN105863431B (en) | A kind of Intelligent coach window control device and its control method | |
| CN205158585U (en) | Prevention driver fatigue's smart machine and system | |
| CN102393989B (en) | Real-time monitoring system of driver working state | |
| CN106571015A (en) | Driving behavior data collection method based on Internet | |
| CN103723096B (en) | With the drive assist system of radio communication function | |
| CN110532976A (en) | Method for detecting fatigue driving and system based on machine learning and multiple features fusion | |
| CN104757981A (en) | Method and device for high-sensitively receiving and transmitting integrated infrared detection of driver's fatigue | |
| CN105894735B (en) | A kind of intelligent vehicle-mounted fatigue monitoring system and method | |
| CN105469035A (en) | Driver's bad driving behavior detection system based on binocular video analysis | |
| CN105869356A (en) | Railway driver work state evaluation intervening system and method | |
| CN105959021A (en) | Vehicle-mounted diagnosis processing method and terminal based on wearable equipment | |
| CN203401972U (en) | Driving behavior monitoring and early warning system based on wireless sensor network | |
| CN106485880A (en) | Automobile driving safe early warning vehicle intelligent terminal | |
| CN110334592A (en) | A kind of monitoring of driver's abnormal behaviour and safety control system and safety control method | |
| CN106448050A (en) | Traffic risk warning method and system of smart phone based on vehicle noise | |
| CN203149771U (en) | A fatigue driving caution system | |
| CN202939772U (en) | School bus monitoring system based on intelligent video | |
| CN110154757A (en) | The multi-faceted safe driving support method of bus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120711 |