CN101927781A - Pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel - Google Patents
Pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel Download PDFInfo
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- CN101927781A CN101927781A CN2010102478113A CN201010247811A CN101927781A CN 101927781 A CN101927781 A CN 101927781A CN 2010102478113 A CN2010102478113 A CN 2010102478113A CN 201010247811 A CN201010247811 A CN 201010247811A CN 101927781 A CN101927781 A CN 101927781A
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Abstract
The invention relates to the fields of automotive electronics and artificial intelligence, and in particular discloses a pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel and an anti-fatigue driving monitoring method. The intelligent steering wheel comprises a steering wheel shell (containing an alarm interrupt key), a steering wheel framework, an embedded system (containing a microprocessor, an application program and related algorithms which are solidified in an internal memory), a GPS module, an alarm, a transformer type sensor, a power supply system and an integrated circuit board. The steering wheel has the embedded system serving as a core, acquires the torque and voltage change of the steering wheel through the transformer type sensor, monitors a fatigue driving state by combining the pattern recognition and a sustained driving time parameter, and judges a parking or running state of the vehicle through the GPS data change so as to control the computation period of the sustained driving time. By using the steering wheel as a carrier, the pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel has anti-fatigue driving monitoring function on the premise of not adding any facility, breaks through the research range of domestic video signal-based driver eye physiological characteristics, and improves the anti-fatigue driving practicability.
Description
Technical field
The present invention relates to vehicle electronics and artificial intelligence field.Specifically disclose a kind of vehicle anti-fatigue driving intelligent steering wheel and anti-fatigue-driving method for supervising thereof, be used for driver tired driving state safety detection and caution based on pattern-recognition.
Background technology
For the anti-fatigue-driving technology all under study for action, develop some products abroad, but needed repacking vehicle or redesign and price high, had the part luxury car using at present.The Driver Fatigue Monitor (DD850) that releases as U.S. Attention Technologies company gathers steerman eye information by infrared camera, adopt PERCLOS as the fatigue warning index, can be directly installed on the gauge panel, but have only evening just effective, and the eye information acquisition misses by a mile, and works hardly for the very little people of eyes or the chaufeur of wear dark glasses; The S.A.M. fatigue warning device utilization of U.S. Digital Installations exploitation places the magnetic strips of bearing circle below to detect steering wheel angle, if chaufeur does not carry out any correction operation to bearing circle in a period of time, then system's infer driver enters fatigue state, and triggers and report to the police.If but wrong report is very serious in hairpin bend, continuous bend, winding road, circular road.
Domestic research to steerman fatigue state monitoring technology is started late, and correlative study is mainly carried out in research institutions such as universities.The research of association area mainly concentrates on the research aspect based on the steerman ocular physiology feature of vision signal, and present various algorithm is remaining in problem aspect the basic properties such as accuracy of identification, reliability, real-time.
Design philosophy of the present invention derives from the validity of artificial intelligence for fatigue driving monitoring complexity, is the intelligent vehicle anti-fatigue driving bearing circle of domestic and international first item based on pattern-recognition at present.The present invention adopts bearing circle as carrier, become parts of vehicle, under the situation of not adding any extra facility, possesses fatigue driving active safety monitoring function, the present invention has broken through the research category of domestic steerman ocular physiology feature based on vision signal, has improved the practicality of anti-fatigue-driving.
Summary of the invention
The purpose of this invention is to provide a kind of vehicle anti-fatigue driving intelligent steering wheel and anti-fatigue-driving method for supervising thereof.This bearing circle is core with the embedded system, utilize transformer type sensor (torque type) to gather bearing circle torque change of voltage, binding pattern identification and the lasting time-parameters monitoring fatigue driving state of driving, utilize gps data to change and judge vehicle stop and running state, to control the computation period that continues the driving time.
The present invention addresses the above problem the technical scheme that is adopted:
A kind of vehicle anti-fatigue driving intelligent steering wheel, it is characterized in that: comprise that embedded system (with the embedded microprocessor is core, and application program and related algorithm are solidificated in the memory chip), GPS module, memory, buzzing alarming device (containing relay), transformer type sensor (torque type), electric power system (electric power is from Vehicular accumulator cell), bearing circle housing, siren horn interrupt button (being positioned on the housing), frame of handwheel, surface-mounted integrated circuit.
Embedded system is core with the embedded microprocessor, application program and related algorithm are solidificated in the memory chip, interrupting button by integrated circuit with GPS module, buzzing alarming device, transformer type sensor (torque type), electric power system, siren horn is connected, receive the information of GPS, transformer type sensor (torque type), siren horn interruption button, and transmit control signal to the buzzing alarming device;
Memory is an embedded system memory, is that data store the center, and in order to deposit application program, real-time and historical data, process and data will be called in embedded microprocessor CACHE. when needed
The GPS module is connected with electric power system with embedded microprocessor by integrated circuit, receives satellite location data and constantly sends formatted data (containing longitude, latitude, date, time, speed, azimuth etc.) to embedded microprocessor;
Buzzing alarming device (containing relay) is connected with electric power system with embedded microprocessor by integrated circuit, and the control command that receives embedded system gives the alarm and pipes;
Transformer type sensor (torque type) is connected with embedded microprocessor, the electric power system of surface-mounted integrated circuit by junction circuit, send the voltage signal that collects to embedded system, embedded system utilizes mode identification technology and algorithm to carry out information processing and signal detection, judge driver fatigue state, then send alarm control signal to the buzzing alarming device when reaching the setting threshold values;
Electric power system is connected with surface-mounted integrated circuit by the transmission of electricity circuit, couples together by surface-mounted integrated circuit and embedded microprocessor, memory, GPS module, buzzing alarming device, transformer type sensor (torque type), and required electric power is provided;
The bearing circle housing is the intelligent steering wheel shell, and described siren horn interrupts button and is positioned on the shell, is connected with embedded microprocessor, electric power system on the surface-mounted integrated circuit by junction circuit.Push siren horn and interrupt button by then relay disconnection, the buzzing alarming device stops to pipe;
Surface-mounted integrated circuit carrying embedded microprocessor, memory, GPS module, transformer type sensor (torque type), buzzing alarming device and some other auxiliary electrical element are connected as a single entity by printed wire and each parts, are embedded into bearing circle inside;
Frame of handwheel is a magnesium alloy, and carrying bearing circle housing and additional zero parts play wheel steering, stressed effect.
Described vehicle anti-fatigue driving intelligent steering wheel is characterized in that: intelligent steering wheel with car load circuit good bond, is parts of vehicle according to different car shape custom design.
Described vehicle anti-fatigue driving intelligent steering wheel is characterized in that: intelligent steering wheel is an independently functive, can replace former car bearing circle by vehicle refitting.
The anti-fatigue-driving method for supervising of described vehicle anti-fatigue driving intelligent steering wheel is characterized in that:
(1) vehicle launch, bearing circle powers on, the anti-fatigue-driving program start;
(2) transformer type sensor (torque type) is gathered the bearing circle torque that swings, the data of carrying out after the magnitude of voltage conversion process also will be handled send embedded system to (during fatigue driving, the driver controls the bearing circle ability drop, the left-right rotation of low rate, wide-angle appears in bearing circle, and experiment finds that bearing circle rotating rule and fatigue driving have extraordinary correlativity);
(3) when driver's long-duration driving, fatigue state occurs, low rate, wide-angle left-right rotation appear in bearing circle;
(4) embedded system adopts mode identification technology and algorithm to extract that bearing circle rotates the change of voltage feature and to carry out aspect ratio right with the fatigue driving feature database;
(5) in addition, GPS with coordinate, velocity information constantly and send embedded system to;
(6) embedded system judges that vehicle is in parked state if continuous certain hour coordinate no change or speed are zero,
(7) embedded microprocessor picks up counting if parked state is broken, and writes down the continuous driving time
(8) embedded system detects and drives time length;
(9) meet or exceed the setting threshold values when the comparison of bearing circle torque change of voltage data characteristics meets fatigue driving and continues to drive the time detecting value, embedded system is judged the tired driver driving;
(10) embedded system control cutin relay, buzzing alarming device switch on also continues to pipe;
(11) driver can manually push siren horn interruption button and close siren horn, stops and has a rest;
(12) after siren horn is closed, embedded system starts new round fatigue driving and detects.
Beneficial effect of the present invention is:
(1) the present invention adopts bearing circle as carrier, possesses the anti-fatigue-driving function, becomes parts of automobile, without facility in the additive incrementation car, little to driving influence, operate nimble, cost is low, can design with other parts of automobile and function integration, will become the selection of following car manufactures.
(2) detection technique is revised in the fatigue driving course.The domestic research that does not also have this respect at present, external in-depth study achievement in this respect is also less.The Vehicular intelligent bearing circle is the principle according to transformer sensor (torque type), pattern-recognition, the timing of GPS aiding CPU.During fatigue driving, the driver enters doze state, and the suddenly left, suddenly right phenomenon of certain rule can appear meeting in the bearing circle operation.Normal straight drives that the angle changing value is little, and left and right sides change frequency is fast, turn or when belt unidirectional angle change.When fatigue driving, angle changes and increases, and left and right sides change frequency slows down, and is regular.Transformer sensor collects this change of voltage, and it is right to carry out aspect ratio by algorithm for pattern recognition, drives time-parameters continuously in conjunction with the CPU record simultaneously, if reach threshold values then judge fatigue driving, starts siren horn.The course correction technique of this project exploitation utilizes built-in transformer type sensor, and the angle variation when gathering the bearing circle correction and the magnitude of voltage of left and right sides angle change frequency detect easily, and algorithm easily designs, and feature database is easily set up, and error is little.
Description of drawings
Fig. 1 is based on the vehicle anti-fatigue driving intelligent steering wheel structured flowchart of pattern-recognition
Fig. 2 is an anti-fatigue-driving caution technical schematic diagram
Fig. 3 is torque sensor+pattern-recognition+drive continuously time detecting data flow diagram
The specific embodiment
As shown in Figure 1, be design-calculated vehicle anti-fatigue driving intelligent steering wheel constructional drawing of the present invention.Form by bearing circle housing, frame of handwheel, surface-mounted integrated circuit, several parts of electric power system.The bearing circle housing is the shell of bearing circle, is provided with siren horn and interrupts button; Frame of handwheel is a magnesium alloy, carrying bearing circle housing and additional zero parts.Surface-mounted integrated circuit is the core of instrument, carrying embedded microprocessor, memory, GPS module, transformer type sensor, buzzing alarming device and some other auxiliary electrical element, embedded microprocessor is a processing enter, be connected as a single entity by printed wire and each parts, receive and process information, send instruction.Electric power provides uninterrupted power supply by Vehicular accumulator cell.
As shown in Figure 2, be anti-fatigue-driving caution technical schematic diagram of the present invention.Vehicle launch, bearing circle powers on, anti-fatigue-driving caution program start.Transformer type sensor is gathered bearing circle torque change of voltage, sends this information to embedded microprocessor.Embedded microprocessor utilizes mode identification technology by respective algorithms the change of voltage data to be carried out feature extraction, classification and registration feature in the storehouse.The change of voltage data that obtain from transformer type sensor constantly write processor memory, and the feature database fatigue driving feature in corresponding algorithm process and historical data base is compared, and deposits result in real-time data base.Constantly write processor memory from coordinate, the velocity information of GPS module, deposit real-time data base in.Embedded system judges that vehicle is in parked state if continuous certain hour coordinate no change or speed are zero, and embedded microprocessor picks up counting when parked state is broken then, writes down the continuous driving time, and clocking information is constantly write real-time data base.Monitor torque change of voltage aspect ratio when bearing circle the continuous driving time that meets fatigue driving and be recorded is met or exceeded the setting threshold values, then the tired driver driving is judged by system, and the treater control relay is connected buzzing alarming device circuit, and siren horn pipes.The driver can manually press siren horn and interrupt button and stop to pipe and stop rest.Back driver's rests of not stopping if stop to pipe, if bearing circle monitoring torque change of voltage aspect ratio to meet fatigue driving then system judge that tired driver drives, treater is control relay connection buzzing alarming device circuit once more, siren horn pipes.System entered new round anti-fatigue-driving program after the driver was stopped and had a rest.
As shown in Figure 3, correct monitoring+pattern-recognition+drive continuously time detecting data flow diagram for bearing circle of the present invention course.According to chaufeur to the bearing circle operational circumstances, bearing circle produces torque output, transformer type sensor (torque type) collects bearing circle torque variable condition simulate data to carry out analogue to digital conversion and becomes the voltage digital form after signal conditioning such as noise reduction, filtering, amplification, send embedded microprocessor to by IO interface with embedded system, treater calls the anti-fatigue-driving program, the bearing circle torque change of voltage of catching is carried out the separation and the detection of time window change of voltage curve, i.e. pattern-recognition.The routine call algorithm for pattern recognition carries out eigenvalue calculation and extracts eigenwert the bearing circle torque change of voltage data that obtain, and the feature of extraction registers to the fatigue driving feature database and classifies.Each characteristic of division that extracts and the setting value in the feature database are compared, and comparison result deposits real-time data base in and waits for decision-making.GPS constantly obtains coordinate, speed data and imports embedded system from satellite, and treater writes down the continuous driving time and writes real-time data base according to corresponding algorithm waits for decision-making.
Claims (4)
1. vehicle anti-fatigue driving intelligent steering wheel, it is characterized in that: comprise that embedded system (with the embedded microprocessor is core, and application program and related algorithm are solidificated in the memory chip), GPS module, memory, buzzing alarming device, transformer type sensor (torque type), electric power system (electric power is from Vehicular accumulator cell), bearing circle housing, siren horn interrupt button (being positioned on the housing), frame of handwheel, surface-mounted integrated circuit.
Described embedded system is core with the embedded microprocessor, application program and related algorithm are solidificated in the memory chip, interrupting button by integrated circuit with GPS module, memory, buzzing alarming device, transformer type sensor (torque type), electric power system, siren horn is connected, receive the information of GPS, transformer type sensor (torque type), siren horn interruption button, and transmit control signal to the buzzing alarming device;
Described memory is an embedded system memory, is that data store the center, and in order to deposit application program, real-time and historical data, process and data will be called in embedded microprocessor CACHE. when needed
Described GPS module is connected with electric power system with embedded microprocessor by integrated circuit, receives satellite location data and constantly sends formatted data (containing longitude, latitude, date, time, speed, azimuth etc.) to embedded microprocessor;
Described buzzing alarming device is connected with electric power system with embedded microprocessor by integrated circuit, and the control command that receives embedded system gives the alarm and pipes;
Described transformer type sensor (torque type) is connected with embedded microprocessor, the electric power system of surface-mounted integrated circuit by junction circuit, send the voltage signal that collects to embedded system, embedded system utilizes mode identification technology and algorithm to carry out information processing and signal detection, judge driver fatigue state, then send alarm control signal to the buzzing alarming device when reaching the setting threshold values;
Described electric power system is connected with surface-mounted integrated circuit by the transmission of electricity circuit, couples together by surface-mounted integrated circuit and embedded microprocessor, memory, GPS module, buzzing alarming device, transformer type sensor (torque type), and required electric power is provided;
Described bearing circle housing is the intelligent steering wheel shell, and described siren horn interrupts button and is positioned on the shell, is connected with embedded microprocessor, electric power system on the surface-mounted integrated circuit by junction circuit.Push siren horn and interrupt then relay disconnection of button, the buzzing alarming device stops to pipe;
Described surface-mounted integrated circuit carrying embedded microprocessor, memory, GPS module, transformer type sensor (torque type), buzzing alarming device and some other auxiliary electrical element are connected as a single entity by printed wire and each parts, are embedded into bearing circle inside;
Described frame of handwheel is a magnesium alloy, and carrying bearing circle housing and additional zero parts play wheel steering, stressed effect.
2. vehicle anti-fatigue driving intelligent steering wheel according to claim 1 is characterized in that: intelligent steering wheel with car load circuit good bond, is parts of vehicle according to different car shape custom design.
3. vehicle anti-fatigue driving intelligent steering wheel according to claim 1 is characterized in that: intelligent steering wheel is an independently functive, can replace former car bearing circle by vehicle refitting.
4. the anti-fatigue-driving method for supervising of the described vehicle anti-fatigue driving intelligent steering wheel of claim 1 is characterized in that:
(1) vehicle launch, bearing circle powers on, the anti-fatigue-driving program start;
(2) transformer type sensor (torque type) is gathered the bearing circle torque that swings, the data of carrying out after the magnitude of voltage conversion process also will be handled send embedded system to (during fatigue driving, the driver controls the bearing circle ability drop, the left-right rotation of low rate, wide-angle appears in bearing circle, and experiment finds that bearing circle rotating rule and fatigue driving have extraordinary correlativity);
(3) when driver's long-duration driving, fatigue state occurs, low rate, wide-angle left-right rotation appear in bearing circle;
(4) embedded system adopts mode identification technology and algorithm to extract that bearing circle rotates the change of voltage feature and to carry out aspect ratio right with the fatigue driving feature database;
(5) in addition, GPS with coordinate, velocity information constantly and send embedded system to;
(6) embedded system judges that vehicle is in parked state if continuous certain hour coordinate no change or speed are zero,
(7) embedded microprocessor picks up counting if parked state is broken, and writes down the continuous driving time
(8) embedded system detects and drives time length;
(9) meet or exceed the setting threshold values when the comparison of bearing circle torque change of voltage data characteristics meets fatigue driving and continues to drive the time detecting value, embedded system is judged the tired driver driving;
(10) embedded system control cutin relay, buzzing alarming device switch on also continues to pipe;
(11) driver can manually push siren horn interruption button and close siren horn, stops and has a rest;
(12) after siren horn is closed, embedded system starts new round fatigue driving and detects.
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| CN2010102478113A CN101927781A (en) | 2010-08-09 | 2010-08-09 | Pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102923178A (en) * | 2012-11-26 | 2013-02-13 | 韩秀林 | Steering wheel for preventing fatigue driving |
| CN103158640A (en) * | 2011-12-16 | 2013-06-19 | 上海博泰悦臻电子设备制造有限公司 | Car traveling state real-time adjustment system |
| CN103258403A (en) * | 2012-02-15 | 2013-08-21 | 纬创资通股份有限公司 | Anti-drowsiness early warning system and method |
| TWI471240B (en) * | 2011-12-23 | 2015-02-01 | Automotive Res & Testing Ct | Vehicle driving condition monitoring system and method |
| CN105488465A (en) * | 2015-11-26 | 2016-04-13 | 广州英卓电子科技有限公司 | Vehicle state pattern recognition system and recognition method thereof |
| CN108052934A (en) * | 2018-01-29 | 2018-05-18 | 安徽云塔电子科技有限公司 | A kind of intelligent Sensorsystem framework and its implementation, device |
| WO2018121547A1 (en) * | 2016-12-27 | 2018-07-05 | 北京奇虎科技有限公司 | Gps-based drowsy driving determination method and apparatus, and smart device |
| CN109080692A (en) * | 2018-06-30 | 2018-12-25 | 江南大学 | A kind of steering wheel with locking tracking detection function |
| WO2019144540A1 (en) * | 2018-01-29 | 2019-08-01 | 安徽云塔电子科技有限公司 | Intelligent sensor system architecture and realization method and apparatus therefor |
| CN111505978A (en) * | 2020-03-31 | 2020-08-07 | 哈尔滨工业大学 | Human motion information and physiological electric signal acquisition system and method |
| CN114312800A (en) * | 2022-02-14 | 2022-04-12 | 深圳市发掘科技有限公司 | Vehicle safe driving method and device, computer equipment and storage medium |
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- 2010-08-09 CN CN2010102478113A patent/CN101927781A/en active Pending
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| CN103158640B (en) * | 2011-12-16 | 2016-08-10 | 上海博泰悦臻电子设备制造有限公司 | Running condition of automobile real-time judge system |
| CN103158640A (en) * | 2011-12-16 | 2013-06-19 | 上海博泰悦臻电子设备制造有限公司 | Car traveling state real-time adjustment system |
| TWI471240B (en) * | 2011-12-23 | 2015-02-01 | Automotive Res & Testing Ct | Vehicle driving condition monitoring system and method |
| US9165452B2 (en) | 2012-02-15 | 2015-10-20 | Wistron Corporation | Driver drowsiness prediction system and method thereof |
| CN103258403A (en) * | 2012-02-15 | 2013-08-21 | 纬创资通股份有限公司 | Anti-drowsiness early warning system and method |
| CN102923178A (en) * | 2012-11-26 | 2013-02-13 | 韩秀林 | Steering wheel for preventing fatigue driving |
| CN105488465A (en) * | 2015-11-26 | 2016-04-13 | 广州英卓电子科技有限公司 | Vehicle state pattern recognition system and recognition method thereof |
| WO2018121547A1 (en) * | 2016-12-27 | 2018-07-05 | 北京奇虎科技有限公司 | Gps-based drowsy driving determination method and apparatus, and smart device |
| CN108052934A (en) * | 2018-01-29 | 2018-05-18 | 安徽云塔电子科技有限公司 | A kind of intelligent Sensorsystem framework and its implementation, device |
| WO2019144540A1 (en) * | 2018-01-29 | 2019-08-01 | 安徽云塔电子科技有限公司 | Intelligent sensor system architecture and realization method and apparatus therefor |
| CN109080692A (en) * | 2018-06-30 | 2018-12-25 | 江南大学 | A kind of steering wheel with locking tracking detection function |
| CN109080692B (en) * | 2018-06-30 | 2021-08-10 | 江南大学 | Steering wheel with locking tracking detection function |
| CN111505978A (en) * | 2020-03-31 | 2020-08-07 | 哈尔滨工业大学 | Human motion information and physiological electric signal acquisition system and method |
| CN114312800A (en) * | 2022-02-14 | 2022-04-12 | 深圳市发掘科技有限公司 | Vehicle safe driving method and device, computer equipment and storage medium |
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Application publication date: 20101229 |