CN107499312B - A kind of device monitoring driver's dangerous driving state - Google Patents
A kind of device monitoring driver's dangerous driving state Download PDFInfo
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- CN107499312B CN107499312B CN201710661810.5A CN201710661810A CN107499312B CN 107499312 B CN107499312 B CN 107499312B CN 201710661810 A CN201710661810 A CN 201710661810A CN 107499312 B CN107499312 B CN 107499312B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6893—Cars
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/20—Workers
- A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
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Abstract
The invention belongs to driving safety technical fields, disclose a kind of device for judging driver and whether will being in dangerous driving state (fatigue driving, eye-blurred etc.), acousto-optic warning unit, Vibration alarm device, palm temperature collecting device, computing unit and probabilistic model unit including electrical connection establish the joint probability distribution model of temperature at driving condition value (hereinafter referred to as driving condition value) and palm great thenar about driver energy reserve situation;Temperature is t at driver's palm great thenar in calculating driving procedureeWhen, driver is in the probability of dangerous driving state within following a period of time, if the value is greater than some threshold value, alert;Prompt driver is in dangerous driving state.Structure of the invention is simple, easy to operate, by realizing forecast earlier to driving dangerousness state, further increases the specificity and accuracy of dangerous driving state early warning, the generation to avoid traffic accident.
Description
Technical field
The invention belongs to will enter danger in driving safety technical field more particularly to a kind of pair of driver's driving procedure
The early warning system of driving condition (driving fatigue, driving behavior obstacle, eye-blurred etc.).
Background technique
Currently, the method for characterization driving condition can substantially be divided into following 4 kinds both at home and abroad:
(1) behavioural characteristic based on driver (such as: head movement, eye motion, gaze-direction) characterizes driving condition,
Its advantage is that: it is non-contact, physiological correlate is good, has scientific basis in the world.The disadvantage is that: signal acquisition difficulty is big, analytical technology
Difficulty is big.
(2) shape is driven based on physiological driver's parameter (such as: electroencephalogram, electrocardiogram, breath state, muscle activity) characterization
State, its advantage is that signal is easy to obtain;The disadvantage is that: contact detection, exploitativeness are limited, poor with physiological correlate.
(3) driving condition, advantage are characterized based on vehicles behavioural characteristic (such as: the track of speed, vehicle driving)
It is non-contact;The disadvantage is that: it is related with specific vehicular traffic type, it is difficult to formulate unified product standard.
(4) the video image characterization driving condition method based on driver " facial characteristics " is very direct, has non-intruding
Property, and have consistency with the variation of the physiological parameter of driver, it is current main research direction.
Driver will make Driving Decision-making according to the variation of external traffic environment always in driving procedure, only make always
Correct and rapid Driving Decision-making, can just be effectively ensured driving safety.Various dangerous driving states with brain and sympathetic nerve
The energy conservation of cell is closely related.Therefore, the energy reserve situation of real-time acquisition brain and stomodaeal nervous system, which is to ensure that, drives
The person of sailing avoids occurring the basic premise of traffic accident.
Since the cell of brain and sympathetic nerve has its hetero-organization different, itself does not have glycogen reserve, and cannot picture
For other histocytes like that using the free fatty acid in circulation as energy source, energy almost all needed for brain cell is direct
Carry out the glucose in autoblood.Glucose content especially in interstitial fluid, directly reflects brain and stomodaeal nervous system
The energy conservation situation of cell.
In conclusion problem of the existing technology is: establishing mapping relations between physiological characteristic and driving condition at present
Method cannot directly reflect the energy conservation situation of driver's brain and stomodaeal nervous system, therefore, the current pre- police
Method is in specificity and accuracy, and it is still necessary to further progress improvement.
It, can be into one if the energy conservation situation of brain and stomodaeal nervous system cell can be monitored in driving procedure
Step improves the specificity and accuracy rate of dangerous driving state forecast.It is further reduced traffic accident caused by dangerous driving state.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of devices for monitoring driver's dangerous driving state.
The invention is realized in this way a kind of device for monitoring driver's dangerous driving state, the acousto-optic including electrical connection
Alarm unit and Vibration alarm device, which is characterized in that further include the palm temperature collecting device of electrical connection, computing unit and general
Rate model unit,
The palm temperature collecting device, for obtaining the current temperature for driving moment and driver's palm;
The computing unit, built-in conditional probability model are calculated according to the data of palm temperature collecting device from current
Driver is in the probability value of dangerous driving state in following a period of time that moment starts;
The connection of the probabilistic model unit, calculating and driving condition value in different time periods and the temperature of driver's palm
Probability Distribution Model is closed, using the joint probability distribution model, obtains the known driver for driving palm temperature of affiliated period
Conditional probability model in dangerous driving state.
Computing unit and probabilistic model unit can use the combination of hardware of single-chip microcontroller and memory, pass through program and data
Storage, calculating, transmission realize the functions of modules.
At the holding for the steering wheel that driver's cabin is arranged in the palm temperature collecting device.It can also be finger cot ring.
The palm temperature collecting device setting is driving indoor steering wheel 2-4 point and 8-10 point position.According to driving
The person's of sailing operating habit preferred orientations disk 2-4 point and 8-10 point position, can be set as needed at 3 points of vehicle steering wheel and 9
Point (i.e. clock face is parallel with surface of steering wheel, 3 points and 9 points signified directions of hour hands) direction.
The temperature of driver's palm refers to the temperature at the palm great thenar of driver.It can also be finger-joint
Inside, tiger's jaw or adjacent finger crack etc..
Sound-light alarm message recipient and vibration alarming information generator are installed inside the Vibration alarm device.
The palm temperature collecting device includes temperature sensor and timer;The temperature sensor and timer are logical
Data line is crossed to connect with computing unit;Computing unit connects acousto-optic warning unit by data line.
The method for monitoring driver's dangerous driving state is to establish temperature at driver's driving condition value and palm great thenar
Joint probability distribution model;Temperature is t at driver's palm great thenar in calculating driving procedureeWhen, when one section following
Interior driver is in the probability of dangerous driving state, if the value is greater than some threshold value, alert;Prompt drives
Member is in dangerous driving state.
A kind of vehicle for installing system above, which is characterized in that including power device and manual manipulation system, the hand
The device of dynamic control system setting monitoring driver's dangerous driving state.
The dynamical system is electric drive dynamical system.
The dynamical system is internal combustion engine driving power system.
Advantages of the present invention and good effect are as follows:
1. both the glucose content comprising artery is believed herein since blood vessel is mainly based on capillary at palm great thenar
Breath also includes the glucose content information of vein.When entering vein by artery due to glucose in blood, it can discharge or absorption portion
Divide heat, causes the variation of temperature at this, therefore temperature reflects driver in driving procedure well at palm great thenar
Energy conservation situation.At the same time, select the temperature at palm great thenar will not be to driving as the evaluation quantity of dangerous driving state
It sails operation and causes any interference, improve the practicability of method for early warning.
2. structure of the invention is simple, easy to operate, general due to being in dangerous driving state using calculating calculating driver
The method of rate improves the specificity and accuracy rate of dangerous driving state-detection in driving procedure.It is monitored and is driven using this method
The early detection rate of the dangerous driving state of member compared with prior art, improves 95%.Dangerous driving is found using this method
The time of state compared with other technologies method, is averagely advanced by 3~6 minutes.Therefore, this method is for reducing since danger is driven
The traffic accident of state initiation is sailed, there is far-reaching realistic meaning.
Detailed description of the invention
Fig. 1 is the method for early warning that dangerous driving state occurs in preventing driver driving procedure provided in an embodiment of the present invention
Flow chart.
Fig. 2 is the early warning system that dangerous driving state occurs in preventing driver driving procedure provided in an embodiment of the present invention
Structural schematic diagram;
Fig. 3 is the 4th schematic device provided in an embodiment of the present invention;
Fig. 4 is the 5th schematic device provided in an embodiment of the present invention.
In figure: 1, first device (palm temperature collecting device);2, second device (computing unit);3,3rd device (sound
Light alarm unit);4, the 4th device (probabilistic model unit);4-1, according to port;5, the 5th device (Vibration alarm device);5-
1, sound and light alarm signal receiver;5-2, vibration alarming signal generator.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Application principle of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, in preventing driver driving procedure provided in an embodiment of the present invention dangerous driving state occur it is pre-
Alarm method, comprising:
S101: before driver uses the system for the first time, driver carries out primary dynamic driving condition value and the big fish of palm
Temperature monitoring at border, the driving condition value for the driver that will acquire and the temperature data at palm great thenar, by means of the 4th dress
The data communication mouth set, imported into the computing unit of the 4th device, calculates driving condition value in different time periods and palm is big
The joint probability distribution model of temperature at thenar, using the model, temperature at palm great thenar known to acquisition different time sections
Into the conditional probability model of dangerous driving state
S102: it in driving procedure, is obtained currently by being mounted on the first device in 3 points and 9 directions of vehicle steering wheel
Drive the temperature at the palm great thenar of moment and driver.
S103: first device is obtained to the temperature driven at current time and palm great thenar, substitutes into the item of second device
Part probabilistic model;The computing unit of second device calculates the probability that current time driver enters dangerous driving state.
S104: by the calculated conditional probability value of second device, substituting into the judging unit of 3rd device, if the value is not less than
Some specific threshold value, 3rd device issue sound-light alarm information.
S105: after 3rd device alert, if continued for some time, driver does not take parking to act,
5th device issues vibration alarming information, prompts driver that should stop in time again.Step S102-S105 is repeated, until driving
Process terminates.
The method for early warning that precarious position occurs in preventing driver driving procedure provided in an embodiment of the present invention, specifically includes
Following steps:
Driver keeps standing and sitting gesture, and operation drives class game or carries out drive simulating, at the same time, carries out dynamic glucose
Monitoring obtains liquid glucose content between driving condition undertissue, should fill in driving safety evaluation amount at interval of certain time driver
Table.With the score value (a of driving safety evaluation charter in monitoring process1,…,ak,…,an) with akAs driving condition value, with group
Knit a liquid glucose content glAs independent variable, a in formula (1) is determined0, a1, a2, establish the driving condition value pass of the driver
In the mapping model of interstitial fluid glucose content
ak=a0*(gl)2+a1*gl+a2Formula (1)
Further the mapping model is expressed as
F (S=al)=a0*(gl)2+a1*gl+a2Formula (2)
In formula, akIndicate driving condition value, glIndicate interstitial fluid glucose content value.If a in the scalemIt is critical
Precarious position, difference g in calculating formula (2)lLower F (S=am) value, if F (S=am) > am, then alert, conversely,
Then not alert.
While carrying out calibration driving condition value, dynamic monitoring (sample frequency is carried out to the temperature at palm great thenar
The sample frequency that bryony sugared content monitors between tissue is consistent), by bryony sugared content and temperature between the tissue of the driver
Data import the computing unit of the 4th device by the data communication mouth of the 4th device.
Step 2, according to the diurnal and nocturnal changes of measuring point temperature, the dynamic temperature and driving safety value number that will acquire
According to be divided into several periods (common division methods be by the dynamic temperature of driver and driving condition Value Data, according to
3:00-6:00,6:00-9:00,9:00-12:00,12:00-15:00,15:00-18:00,18:00-21:00,21:00-0:
00,0:00-3:00 is divided into 8 periods), for first of period, temperature and driving safety value is general at palm great thenar
Rate density functionWith Indicate first period
Sampling number, tlmaxIndicate the maximum value of first of period temperature sampling, tlminIndicate the minimum of first of period temperature sampling
Value, glmaxIndicate the maximum value of first of period driving condition value sampling, glminIndicate first of period driving condition value sampling
Minimum value
xi=ximin+ht* (i-1),
gi=gimin+hg*(i-1);
The probability-distribution function of temperature is at first of period palm great thenarL
The probability-distribution function of the driving condition value of a period isFirst of period closes
The joint probability distribution model of temperature and driving condition value is at palm great thenar
Fl(G,Te) parameter alphalIt is obtained by Maximum Likelihood Estimation Method;
Step 3, gupIndicate that driver is capable of the driving condition value upper limit of normal driving, gdownIndicate that driver can be just
The driving condition value lower limit often driven;
Temperature t is measured in moment t in first devicee, measurement temperature and measurement moment are input to second device, the second dress
It sets and calculates the probability of driving condition of causing danger and be
K indicates ambient temperature to the compensation rate of measurement temperature in formula;
Step 4, if DlGreater than threshold value Tx, then 3rd device issues alarm command;
Step 5 in driving procedure, repeats step 3 to step 4, until driving procedure terminates.
As shown in Figures 2 to 4, dangerous driving state is entered in preventing driver driving procedure provided in an embodiment of the present invention
Early warning system, be provided with
First device 1 is mounted on and 9 directions of vehicle steering wheel at 3 points, for obtaining current driving moment and driver
Palm great thenar at temperature;
Second device 2 is connected with first device by data line, for by first device obtain drive current time and
Temperature at palm great thenar, substitutes into the conditional probability model of second device, and the computing unit of second device calculates current time
Following a period of time afterwards enters the probability value of dangerous driving state;
The calculated conditional probability value of second device is substituted into the judging unit of 3rd device by 3rd device 3, if should
Value is more than some specific threshold value, which issues warning note to driver;
Driver is passed through the data of dynamic driving condition value and temperature monitoring, utilizes the data of the device by the 4th device 4
Port 4-1 imported into the computing unit 4-2 of the 4th device;4th device calculate driving safety value in different time periods with
The joint probability distribution model of temperature at palm great thenar;Using the probability Distribution Model, palm known to the affiliated period is obtained
The conditional probability model into dangerous driving state of temperature at great thenar;
5th device 5, after driver is connected to the alarm command of 3rd device sending, after a period of time, if driver is still
Shut-down operation is not so taken, the 5th device will be further sent out vibration alarming information.
Further, sound-light alarm message recipient 5-1 and vibration alarming information generator are provided with inside the 5th device
5-2。
First device 1 is temperature sensor and timer;Second device 2 connects 3rd device 3 by data line.
Application effect of the invention is explained in detail combined with specific embodiments below.
Temperature at the driving condition value of driver and measurement moment and palm great thenar is inputted by the 4th device 4
Second device 2 determines the parameter of formula 1, establishes the joint probability distribution of temperature and driving condition value at driver's palm great thenar
Model, in 3 points of vehicle steering wheel and 9 direction mounting temperature sensors and timer (first device 1), when driver holds
When steering wheel, the temperature at palm great thenar can be input to the computing chip of second device 2 by first device 1 with the measurement moment
In, driver is calculated according to the formula 2 in measurement chip, the probability for entering dangerous driving state occurs in future time instance.If
The value is greater than defined threshold value, then second device 2 issues alarm command to 3rd device 3, and 3rd device 3 issues alarm signal,
Prompt driver is stopped in time, if driver for a period of time after still without continuing to stop, the 5th device will be further sent out vibration
Dynamic warning message, again reminds driver.
46 coach drivers of 43 taximan and certain public transport company to certain taxi company use this
Method carries out dangerous driving state early warning.After continuous driving 3 hours, driver fills in Stanford Sleepiness Scale and determines precarious position
The time of generation is compared by the time for issuing early warning with this method, and accuracy rate is more than 95%, and pre-warning time averagely shifts to an earlier date
3~6 minutes, illustrate that the alarm system can effectively forecast whether driver enters dangerous driving state.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (9)
1. a kind of device for monitoring driver's dangerous driving state, acousto-optic warning unit and vibration alarming dress including electrical connection
It sets, which is characterized in that it further include palm temperature collecting device, computing unit and the probabilistic model unit being electrically connected,
The palm temperature collecting device, for obtaining the current temperature for driving moment and driver's palm;
The computing unit, built-in conditional probability model are calculated according to the data of palm temperature collecting device from current time
Driver is in the probability value of dangerous driving state in following a period of time of beginning;
The probabilistic model unit, calculates and driving condition value in different time periods and combining for the temperature of driver's palm are general
Rate distributed model obtains the known driver for driving palm temperature of affiliated period and is in using the joint probability distribution model
The conditional probability model of dangerous driving state;
The joint probability distribution model are as follows: the driving condition value and blood glucose level data that will acquire are divided into several periods;
For first of period, make the probability density function of the temperature for obtaining driver's palm respectively and driving condition value
With
Indicate the sampling number of first of period, tlmaxIndicate the maximum value of first of period temperature sampling, tlminIndicate the
The minimum value of l period temperature sampling, glmaxIndicate the maximum value of first of period driving condition sampled value, glminIndicate the
The minimum value of l period driving condition sampled value
xi=ximin+ht* (i-1),
gi=gimin+hg*(i-1);
The probability-distribution function of the temperature of first of period driver's palm isFirst of time
The probability-distribution function of driving condition value of section isFirst of time is obtained about driver's hand
The temperature of the palm and the joint probability distribution model of driving condition value are as follows:
F(G,Te) parameter alpha pass through Maximum Likelihood Estimation Method obtain;
The conditional probability model are as follows: gupIndicate that driver is in the driving condition value upper limit of safe driving state, gdownTable
Show that driver is in the driving condition value lower limit of safe driving state;
Temperature t is measured in moment t in palm temperature collecting devicee, measurement temperature and measurement moment are input to computing unit, counted
Calculating the probability that unit is calculated into dangerous driving state is
K indicates the compensation rate in ambient temperature to measurement temperature in formula.
2. the device of monitoring driver's dangerous driving state as described in claim 1, which is characterized in that the palm temperature is adopted
Acquisition means are arranged at the holding of the steering wheel of driver's cabin.
3. the device of monitoring driver's dangerous driving state as claimed in claim 2, which is characterized in that the palm temperature
Acquisition device setting is driving indoor steering wheel 2-4 point and 8-10 point position.
4. the device of monitoring driver's dangerous driving state as described in claim 1, which is characterized in that driver's hand
The temperature of the palm refers to the temperature at the palm great thenar of driver.
5. the device of monitoring driver's dangerous driving state as described in claim 1, which is characterized in that the vibration alarming
Sound-light alarm message recipient and vibration alarming information generator are installed inside device.
6. the device of monitoring driver's dangerous driving state as described in claim 1, which is characterized in that the palm temperature is adopted
Acquisition means include temperature sensor and timer;The temperature sensor and timer pass through data line and computing unit connects
It connects;Computing unit connects acousto-optic warning unit by data line.
7. a kind of be equipped with the vehicle for monitoring the device of driver's dangerous driving state described in claim 1-6, which is characterized in that
Including power device and manual manipulation system, the dress of manual manipulation system setting monitoring driver's dangerous driving state
It sets.
8. a kind of vehicle as claimed in claim 7, which is characterized in that the dynamical system is electric drive dynamical system.
9. a kind of vehicle as claimed in claim 7, which is characterized in that the dynamical system is internal combustion engine driving power system.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4492952A (en) * | 1982-04-12 | 1985-01-08 | Atlas Electronics International | Automotive driving condition alarm system |
CN102490701A (en) * | 2011-12-02 | 2012-06-13 | 哈尔滨工业大学 | Safe driving monitoring device capable of monitoring physical and psychological states of driver |
CN105534531A (en) * | 2014-10-29 | 2016-05-04 | 上海华博信息服务有限公司 | Method and system for preventing fatigue driving |
CN205608831U (en) * | 2016-05-06 | 2016-09-28 | 中国人民解放军军事交通学院 | Hazardous articles road transport " thing - car - driving action " integration monitoring, early warning system |
CN106073723A (en) * | 2016-06-20 | 2016-11-09 | 山东理工大学 | Control method that a kind of diabetes patient of auxiliary drives and system |
CN106274483A (en) * | 2016-11-10 | 2017-01-04 | 合肥工业大学 | The Vehicular automatic driving switching device differentiated based on driving behavior of diverting one's attention and method |
-
2017
- 2017-08-04 CN CN201710661810.5A patent/CN107499312B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4492952A (en) * | 1982-04-12 | 1985-01-08 | Atlas Electronics International | Automotive driving condition alarm system |
CN102490701A (en) * | 2011-12-02 | 2012-06-13 | 哈尔滨工业大学 | Safe driving monitoring device capable of monitoring physical and psychological states of driver |
CN105534531A (en) * | 2014-10-29 | 2016-05-04 | 上海华博信息服务有限公司 | Method and system for preventing fatigue driving |
CN205608831U (en) * | 2016-05-06 | 2016-09-28 | 中国人民解放军军事交通学院 | Hazardous articles road transport " thing - car - driving action " integration monitoring, early warning system |
CN106073723A (en) * | 2016-06-20 | 2016-11-09 | 山东理工大学 | Control method that a kind of diabetes patient of auxiliary drives and system |
CN106274483A (en) * | 2016-11-10 | 2017-01-04 | 合肥工业大学 | The Vehicular automatic driving switching device differentiated based on driving behavior of diverting one's attention and method |
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