CN107180219A - Driving dangerousness coefficient appraisal procedure and device based on multi-modal information - Google Patents
Driving dangerousness coefficient appraisal procedure and device based on multi-modal information Download PDFInfo
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- CN107180219A CN107180219A CN201710063040.4A CN201710063040A CN107180219A CN 107180219 A CN107180219 A CN 107180219A CN 201710063040 A CN201710063040 A CN 201710063040A CN 107180219 A CN107180219 A CN 107180219A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
Abstract
The invention provides a kind of method that driving dangerousness coefficient based on multi-modal information is assessed, wherein, this method comprises the following steps：The list entries that user is inputted is sent to the network equipment；The application message of at least one application that receive network equipment feedback, being matched with the list entries, wherein, the application message can be used in obtaining or directly initiate corresponding application；The application for needing to start is determined from least one described application；According to the application message of the application for needing to start, and locally applied application message is combined, perform corresponding operating.According to the solution of the present invention, user need not perform substantial amounts of manually operated, without the artificial application for determining whether to have installed in user equipment and needing to start, largely save the time of application for determining to need to start.
Description
Technical field
The present invention relates to mobile unit field, more particularly to a kind of driving dangerousness coefficient assessment side based on multi-modal information
Method and device.
Background technology
With sharply increasing for number of vehicles, can have to the assessment that the driving dangerousness coefficient of driver is held water
Supervision beneficial to traffic department to vehicle, prediction of the insurance company to insurance risk, and at present have a great vogue net about car and
Taxi exercises supervision.To solve the evaluation problem to the driving dangerousness coefficient of driver, there are many very ripe methods,
These methods may be roughly divided into three classes according to the data of acquisition process.The first kind with the vehicle number in vehicle travel process it is believed that
Cease for research object, such as driver is in driving procedure, the speed change of vehicle, and brake number of times, and the data such as plus-minus of throttle are (such as
Patent driving behavior analysis method, application number：201510192012.3).Detection of the Equations of The Second Kind method by handling driver is regarded
Frequency information, detects the abnormal driving behavior of driver as research object, and such as driver occurs playing mobile phone in driving procedure, tired
Please situations such as sailing (such as paper IN-VEHICLE DATA RECORDERS FOR MONITORING AND FEEDBACK ON
DRIVERS′BEHAVIOR).3rd class method traffic violations situation of driver using in driving procedure is used as research object.At present
The method for assessing driving dangerousness, the information taken is relatively simple, it is impossible to which the driving behavior to driver is accurately and effectively portrayed.
Still further aspect, the method for current analysis and assessment goes out to send in itself analysis driving dangerousness coefficient from driving vehicle mostly, not
Have and take the change for driving environment of the vehicle in driving procedure with surrounding into account.
The content of the invention
It is an object of the invention to provide the method and apparatus that a kind of driving dangerousness coefficient based on multi-modal information is assessed.
According to an aspect of the present invention there is provided a kind of method that driving dangerousness coefficient based on multi-modal information is assessed,
Wherein, this method comprises the following steps：
The traffic information in driving procedure is obtained by the camera being installed on outside car；
Pass through the driving behavior information being installed in the camera acquisition driving procedure of in-car；
Car status information is obtained by sensor；
By the status information of vehicle in collection analysis driver's driving procedure, to assess the first driving dangerousness of driver
Coefficient；
By detecting driving row behavioural information of the driver in driving procedure, to assess the second driving dangerousness of driver
Coefficient；
By the traffic information of acquisition units time, and combine the behavioural information of the driver collected.Unit of account is real
The number that the various traffic rules detected in border are violated, obtains the danger coefficient based on traffic rules；
By the traffic information in the acquisition units time, and combine the behavioural information of the driver collected, unit of account
The number of the various hydropacs detected in time, obtains the danger coefficient based on driving feature；
According to aforementioned four driving dangerousness coefficient, four different danger coefficients are mapped to a comprehensive danger by weighting
Dangerous coefficient.
According to another aspect of the present invention, additionally provide what a kind of driving dangerousness coefficient based on multi-modal information was assessed
Device, wherein, the device includes：
Traffic information acquisition module, the traffic information in driving procedure is obtained for the camera by being installed on outside car；
Driving behavior data obtaining module, for the driving row by being installed in the camera acquisition driving procedure of in-car
For information；
Car status information acquisition module, for obtaining car status information by sensor；
Evaluation module, for the status information by vehicle in collection analysis driver's driving procedure, to assess driver
The first driving dangerousness coefficient；
The evaluation module is additionally operable to the driving row behavioural information by detecting driver in driving procedure, is driven to assess
The second driving dangerousness coefficient for the person of sailing；
The evaluation module is additionally operable to the traffic information by the acquisition units time, and combines the row of the driver collected
For information.The number that the various traffic rules detected in unit of account is actual are violated, obtains the dangerous system based on traffic rules
Number；
The evaluation module is additionally operable to by the traffic information in the acquisition units time, and combines the driver's collected
Behavioural information, the number of the various hydropacs detected in the unit of account time obtains the danger coefficient based on driving feature；
Processing module is weighted, for according to aforementioned four driving dangerousness coefficient, by weighting four different danger coefficients
It is mapped to a comprehensive danger coefficient.
Compared with prior art, the present invention has advantages below：The method for assessing driving dangerousness in the prior art, takes
Information is relatively simple, it is impossible to which the driving behavior to driver is accurately and effectively portrayed.Still further aspect, current analysis and assessment
Method mostly from drive vehicle go out to send in itself analysis driving dangerousness coefficient, will drive vehicle in driving procedure with
The change of the environment of surrounding is taken into account.The present invention has broken the above-mentioned inertial thinking of those skilled in the art, and can be real
Existing following effect：More accurately assessed come the driving dangerousness coefficient to driver using multi-modal information.Vehicle will be driven
The change of environment in driving procedure with surrounding is taken into account.The present invention proposes that vehicle and front vehicles, pedestrian will be driven
The driving dangerousness assessment system of the driving behavior to driver is included with the relativeness of lane line this important information, can
To effectively improve the discrimination and validity of driving dangerousness assessment system.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is the software part system of the driving dangerousness coefficient appraisal procedure based on multi-modal information of one embodiment of the invention
System block diagram；
Fig. 2 is the hardware system of the driving dangerousness coefficient appraisal procedure based on multi-modal information of one embodiment of the invention
Block diagram.
Same or analogous reference represents same or analogous part in accompanying drawing.
Embodiment
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing described as flow chart or method.Although operations are described as the processing of order by flow chart, therein to be permitted
Multioperation can be implemented concurrently, concomitantly or simultaneously.In addition, the order of operations can be rearranged.When it
The processing can be terminated when operation is completed, it is also possible to the additional step being not included in accompanying drawing.The processing
It can correspond to method, function, code, subroutine, subprogram etc..
Method (some of them are illustrated by flow) discussed hereafter can be by hardware, software, firmware, centre
Part, microcode, hardware description language or its any combination are implemented.Implement when with software, firmware, middleware or microcode
When, to implement, the program code or code segment of necessary task can be stored in machine or computer-readable medium (is such as deposited
Storage media) in.(one or more) processor can implement necessary task.
Concrete structure and function detail disclosed herein are only representational, and are for describing showing for the present invention
The purpose of example property embodiment.But the present invention can be implemented by many alternative forms, and it is not interpreted as
It is limited only by the embodiments set forth herein.
Although it should be appreciated that may have been used term " first ", " second " etc. herein to describe unit,
But these units should not be limited by these terms.It is used for the purpose of using these terms by a unit and another unit
Make a distinction.For example, in the case of the scope without departing substantially from exemplary embodiment, it is single that first module can be referred to as second
Member, and similarly second unit can be referred to as first module.Term "and/or" used herein above include one of them or
Any and all combination of more listed associated items.
It should be appreciated that when a unit is referred to as " connecting " or during " coupled " to another unit, it can directly connect
Another unit is connect or be coupled to, or there may be temporary location.On the other hand, when a unit is referred to as " directly connecting
Connect " or " direct-coupling " arrive another unit when, then in the absence of temporary location.It should in a comparable manner explain and be used to retouch
State relation between unit other words (such as compared to " between being directly in ... " " between being in ... ", " and with ... it is adjacent
Closely " compared to " with ... be directly adjacent to " etc.).
Term used herein above is not intended to limit exemplary embodiment just for the sake of description specific embodiment.Unless
Context clearly refers else, and otherwise singulative " one " used herein above, " one " also attempt to include plural number.Should also
When understanding, term " comprising " and/or "comprising" used herein above provide stated feature, integer, step, operation,
The presence of unit and/or component, and do not preclude the presence or addition of other one or more features, integer, step, operation, unit,
Component and/or its combination.
It should further be mentioned that in some replaces realization modes, the function/action being previously mentioned can be according to different from attached
The order indicated in figure occurs.For example, depending on involved function/action, the two width figures shown in succession actually may be used
Substantially simultaneously to perform or can perform in a reverse order sometimes.
The present invention is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 is the software systems of the driving dangerousness coefficient appraisal procedure based on multi-modal information of one embodiment of the invention
Block diagram.
Included according to the method for the present embodiment：
Step S1, the traffic information in driving procedure is obtained by the camera being installed on outside car；
Step S2, passes through the driving behavior information being installed in the camera acquisition driving procedure of in-car；
Step S3, car status information is obtained by sensor；
Step S4, by the status information of vehicle in collection analysis driver's driving procedure, to assess the first of driver
Driving dangerousness coefficient；
The status information of vehicle in driver's driving procedure by collection analysis, to assess the first driving of driver
The step of danger coefficient, includes：
The signal for travelling sensor collection by vehicle includes speed, throttle and brake information；
Using mapping function by the information for the use of these three, the first driving dangerousness coefficient is mapped to.
By the status information of vehicle in collection analysis driver's driving procedure, to assess the driving dangerousness system of driver
Number.The information in terms of the signal including but not limited to speed that sensor is taken, throttle and brake is travelled by vehicle.Logical
During the driving dangerousness coefficient for crossing the driving information of vehicle to consider driver, unsafe driver has following feature：
Car speed drastically changes, for experienced driver, and the speed of held stationary is very necessary；
Throttle amount drastically changes；
Brake number frequently occurs within the unit interval；
The present invention, by the information for the use of these three, will be mapped to a fraction using mapping function
A=fa(a1, a2, a3…)。
Step S5, by detecting driving row behavioural information of the driver in driving procedure, to assess the second of driver
Driving dangerousness coefficient；
It is described by detecting driving row behavioural information of the driver in driving procedure, come assess driver second drive
The step of danger coefficient, includes：
By detect that driver occurs in driving procedure it is absent minded, using mobile phone and dietary behavior information；
Based on the number of the various situations detected in the unit interval, using mapping function, obtain being based on driving behavior
Second driving dangerousness coefficient of manner.
By detect driver occur in driving procedure it is absent minded, using mobile phone and have the feelings such as dietary behavior
Condition, to assess the driving dangerousness coefficient of driver.Detect user occur eyes for a long time do not watch attentively front, using mobile phone
After situations such as having dietary behavior, the number based on the various situations detected in the unit interval is used mapping letter by this module
Number, provides the danger coefficient based on driving behavior manner
B=fb(b1, b2, b3…)。
Step S6, by the traffic information of acquisition units time, and combines the behavioural information of the driver collected.Calculate
The number that the various traffic rules detected in unit is actual are violated, obtains the danger coefficient based on traffic rules；
The traffic information by the acquisition units time, and combine the behavioural information of the driver collected.Calculate single
The number that the various traffic rules detected in position is actual are violated, the step of obtaining the danger coefficient based on traffic rules includes：
The traffic mark occurred by detecting in the unit interval in driving procedure, and combine taking for the driver collected
Measure；
Judge that driver whether there is when turning round to slow down, in accordance with traffic lights rule and highway hypervelocity behavior；
The number violated based on the various traffic rules detected in the unit interval, using mapping function, is obtained based on friendship
The danger coefficient of drift then.
The traffic mark occurred by detecting in the unit interval in driving procedure, and combine taking for the driver collected
Measure (accelerate, slow down, parking etc.), judge whether driver slows down when turning round, in accordance with traffic lights are regular and highway
Situations such as hypervelocity.The number violated based on the various traffic rules detected in unit reality, using mapping function, is provided and is based on
The danger coefficient of traffic rules
C=fc(c1, c2, c3…)。
Step S7, by the traffic information in the acquisition units time, and combines the behavioural information of the driver collected, meter
The number of the various hydropacs detected in the unit interval is calculated, the danger coefficient based on driving feature is obtained；
The traffic information by the acquisition units time, and the behavioural information of the driver collected is combined, calculate
The number of the various hydropacs detected in unit interval, the step of obtaining the danger coefficient based on driving feature includes：
The position in the pedestrian, vehicle and the track that occur by detecting in the unit interval in driving procedure, and combine collect
Driver the measure taken；
Judge driver whether in driving procedure with pedestrian it is excessively near, apart from leading vehicle distance reach less than safe distance and with
The situation of meaning change lane；
Based on the number of the various hydropacs detected in the unit interval, using mapping function, obtain special based on driving
The danger coefficient levied.
The position in the pedestrian, vehicle and the track that occur by detecting in the unit interval in driving procedure, and combine collect
Driver take measure (accelerate, slow down, parking etc.), judge driver whether in driving procedure with pedestrian it is excessively near,
Situations such as being less than safe distance and random change lane is reached apart from leading vehicle distance.Based on the various danger detected in unit reality
The number of dangerous alarm, using mapping function, provides the danger coefficient based on driving feature
D=fd(d1, d2, d3…)。
Four different danger coefficients, according to aforementioned four driving dangerousness coefficient, one are mapped to by weighting by step S8
Comprehensive danger coefficient.
Compared with prior art, the present invention has advantages below：The method for assessing driving dangerousness in the prior art, takes
Information is relatively simple, it is impossible to which the driving behavior to driver is accurately and effectively portrayed.Still further aspect, current analysis and assessment
Method mostly from drive vehicle go out to send in itself analysis driving dangerousness coefficient, will drive vehicle in driving procedure with
The change of the environment of surrounding is taken into account.The present invention has broken the above-mentioned inertial thinking of those skilled in the art, and can be real
Existing following effect：More accurately assessed come the driving dangerousness coefficient to driver using multi-modal information.Vehicle will be driven
The change of environment in driving procedure with surrounding is taken into account.The present invention proposes that vehicle and front vehicles, pedestrian will be driven
The driving dangerousness assessment system of the driving behavior to driver is included with the relativeness of lane line this important information, can
To effectively improve the discrimination and validity of driving dangerousness assessment system.
Fig. 2 is the hardware system of the driving dangerousness coefficient apparatus for evaluating based on multi-modal information of one embodiment of the invention
Block diagram.
The device includes：
Traffic information acquisition module 10, the road conditions obtained for the camera by being installed on outside car in driving procedure are believed
Breath；
Driving behavior data obtaining module 20, for the driving by being installed in the camera acquisition driving procedure of in-car
Behavioural information；
Car status information acquisition module 30, for obtaining car status information by sensor；
Evaluation module 40, for the status information by vehicle in collection analysis driver's driving procedure, to assess driving
The first driving dangerousness coefficient of member；
Wherein, in driver's driving procedure by collection analysis vehicle status information, to assess the of driver
The signal that one driving dangerousness coefficient travels sensor collection specifically by vehicle includes speed, throttle and brake information, uses
Information in terms of these three is mapped to the first driving dangerousness coefficient by mapping function.
By the status information of vehicle in collection analysis driver's driving procedure, to assess the driving dangerousness system of driver
Number.The information in terms of the signal including but not limited to speed that sensor is taken, throttle and brake is travelled by vehicle.Logical
During the driving dangerousness coefficient for crossing the driving information of vehicle to consider driver, unsafe driver has following feature：
Car speed drastically changes, for experienced driver, and the speed of held stationary is very necessary；
Throttle amount drastically changes；
Brake number frequently occurs within the unit interval；
The present invention, by the information for the use of these three, will be mapped to a fraction using mapping function
A=fa(a1, a2, a3…)。
The evaluation module 40 is additionally operable to the driving row behavioural information by detecting driver in driving procedure, to assess
The second driving dangerousness coefficient of driver；
Wherein, it is described by detecting driving row behavioural information of the driver in driving procedure, to assess the of driver
Two driving dangerousness coefficients specifically by detection driver occur in driving procedure it is absent minded, using mobile phone and drink
Behavioural information is eaten, based on the number of the various situations detected in the unit interval, using mapping function, obtains being based on driver's row
For the second driving dangerousness coefficient of manner.
By detect driver occur in driving procedure it is absent minded, using mobile phone and have the feelings such as dietary behavior
Condition, to assess the driving dangerousness coefficient of driver.Detect user occur eyes for a long time do not watch attentively front, using mobile phone
After situations such as having dietary behavior, the number based on the various situations detected in the unit interval is used mapping letter by this module
Number, provides the danger coefficient based on driving behavior manner
B=fb(b1, b2, b3…)。
The evaluation module 40 is additionally operable to the traffic information by the acquisition units time, and combines the driver's collected
Behavioural information.The number that the various traffic rules detected in unit of account is actual are violated, obtains the danger based on traffic rules
Coefficient；
Wherein, the traffic information by the acquisition units time, and combine the behavioural information of the driver collected.Meter
The number that the various traffic rules detected in unit reality are violated is calculated, it is specially logical to obtain the danger coefficient based on traffic rules
The traffic mark occurred in the detection unit interval in driving procedure is crossed, and combines the measure taken of the driver collected, is sentenced
Disconnected driver whether there is slow down when turning round, exceed the speed limit behavior in accordance with traffic lights rule and highway, based on being detected in the unit interval
The number that the various traffic rules arrived are violated, using mapping function, obtains the danger coefficient based on traffic rules.
The traffic mark occurred by detecting in the unit interval in driving procedure, and combine taking for the driver collected
Measure (accelerate, slow down, parking etc.), judge whether driver slows down when turning round, in accordance with traffic lights are regular and highway
Situations such as hypervelocity.The number violated based on the various traffic rules detected in unit reality, using mapping function, is provided and is based on
The danger coefficient of traffic rules
C=fc(c1, c2, c3…)。
The evaluation module 40 is additionally operable to by the traffic information in the acquisition units time, and combines the driver collected
Behavioural information, the number of the various hydropacs detected in the unit of account time obtains the dangerous system based on driving feature
Number；
Wherein, the traffic information by the acquisition units time, and with reference to the behavioural information of the driver collected,
The number of the various hydropacs detected in the unit of account time, obtain based on driving feature danger coefficient specifically by
The position in the pedestrian, vehicle and the track that occur in the detection unit interval in driving procedure, and combine adopting for the driver collected
The measure taken, judge driver whether in driving procedure with pedestrian it is excessively near, reached apart from leading vehicle distance less than safe distance and
The situation of random change lane, based on the number of the various hydropacs detected in the unit interval, using mapping function, is obtained
Danger coefficient based on driving feature.
The position in the pedestrian, vehicle and the track that occur by detecting in the unit interval in driving procedure, and combine collect
Driver take measure (accelerate, slow down, parking etc.), judge driver whether in driving procedure with pedestrian it is excessively near,
Situations such as being less than safe distance and random change lane is reached apart from leading vehicle distance.Based on the various danger detected in unit reality
The number of dangerous alarm, using mapping function, provides the danger coefficient based on driving feature
D=fd(d1, d2, d3…)。
Processing module 50 is weighted, for according to aforementioned four driving dangerousness coefficient, by weighting four different dangerous systems
Number is mapped to a comprehensive danger coefficient.
Compared with prior art, the present invention has advantages below：The method for assessing driving dangerousness in the prior art, takes
Information is relatively simple, it is impossible to which the driving behavior to driver is accurately and effectively portrayed.Still further aspect, current analysis and assessment
Method mostly from drive vehicle go out to send in itself analysis driving dangerousness coefficient, will drive vehicle in driving procedure with
The change of the environment of surrounding is taken into account.The present invention has broken the above-mentioned inertial thinking of those skilled in the art, and can be real
Existing following effect：More accurately assessed come the driving dangerousness coefficient to driver using multi-modal information.Vehicle will be driven
The change of environment in driving procedure with surrounding is taken into account.The present invention proposes that vehicle and front vehicles, pedestrian will be driven
The driving dangerousness assessment system of the driving behavior to driver is included with the relativeness of lane line this important information, can
To effectively improve the discrimination and validity of driving dangerousness assessment system.
It should be noted that the present invention can be carried out in the assembly of software and/or software and hardware, for example, this hair
Each bright device can be realized using application specific integrated circuit (ASIC) or any other similar hardware device.In one embodiment
In, software program of the invention can realize steps described above or function by computing device.Similarly, it is of the invention
Software program (including related data structure) can be stored in computer readable recording medium storing program for performing, for example, RAM memory,
Magnetically or optically driver or floppy disc and similar devices.In addition, some steps or function of the present invention can employ hardware to realize, example
Such as, as coordinating with processor so as to performing the circuit of each step or function.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as to the claim involved by limitation.This
Outside, it is clear that the word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in system claims is multiple
Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade word is used for table
Show title, and be not offered as any specific order.
Claims (10)
1. a kind of method that driving dangerousness coefficient based on multi-modal information is assessed, wherein, this method comprises the following steps：
The traffic information in driving procedure is obtained by the camera being installed on outside car；
Pass through the driving behavior information being installed in the camera acquisition driving procedure of in-car；
Car status information is obtained by sensor；
By the status information of vehicle in collection analysis driver's driving procedure, to assess the first driving dangerousness system of driver
Number；
By detecting driving row behavioural information of the driver in driving procedure, to assess the second driving dangerousness system of driver
Number；
By the traffic information of acquisition units time, and combine the behavioural information of the driver collected.In unit of account is actual
The number that the various traffic rules detected are violated, obtains the danger coefficient based on traffic rules；
By the traffic information in the acquisition units time, and combine the behavioural information of the driver collected, unit of account time
The number of the various hydropacs inside detected, obtains the danger coefficient based on driving feature；
According to aforementioned four driving dangerousness coefficient, four different danger coefficients are mapped to a comprehensive dangerous system by weighting
Number.
2. the method for claim 1, wherein the state of vehicle is believed in driver's driving procedure by collection analysis
The step of breath, the first driving dangerousness coefficient to assess driver, includes：
The signal for travelling sensor collection by vehicle includes speed, throttle and brake information；
Using mapping function by the information for the use of these three, the first driving dangerousness coefficient is mapped to.
3. it is the method for claim 1, wherein described by detecting that driving every trade of the driver in driving procedure is letter
The step of breath, the second driving dangerousness coefficient to assess driver, includes：
By detect that driver occurs in driving procedure it is absent minded, using mobile phone and dietary behavior information；
Based on the number of the various situations detected in the unit interval, using mapping function, obtain being based on driving behavior manner
The second driving dangerousness coefficient.
4. the method for claim 1, wherein traffic information by the acquisition units time, and combine and collect
Driver behavioural information.The number that the various traffic rules detected in unit of account is actual are violated, obtains being based on traffic
The step of danger coefficient of rule, includes：
The traffic mark occurred by detecting in the unit interval in driving procedure, and combine collect driver take arrange
Apply；
Judge that driver whether there is when turning round to slow down, in accordance with traffic lights rule and highway hypervelocity behavior；
The number violated based on the various traffic rules detected in the unit interval, using mapping function, is obtained based on traffic rule
Danger coefficient then.
5. the method for claim 1, wherein traffic information by the acquisition units time, and combine collection
The behavioural information of the driver arrived, the number of the various hydropacs detected in the unit of account time obtains special based on driving
The step of danger coefficient levied, includes：
The position in the pedestrian, vehicle and the track that occur by detecting in the unit interval in driving procedure, and with reference to driving for collecting
The measure taken for the person of sailing；
Judge driver whether in driving procedure with pedestrian it is excessively near, apart from leading vehicle distance reach less than safe distance and arbitrarily become
The situation in more track；
Based on the number of the various hydropacs detected in the unit interval, using mapping function, obtain based on driving feature
Danger coefficient.
6. the device that a kind of driving dangerousness coefficient based on multi-modal information is assessed, wherein, the device includes：
Traffic information acquisition module, the traffic information in driving procedure is obtained for the camera by being installed on outside car；
Driving behavior data obtaining module, believes for the driving behavior by being installed in the camera acquisition driving procedure of in-car
Breath；
Car status information acquisition module, for obtaining car status information by sensor；
Evaluation module, for the status information by vehicle in collection analysis driver's driving procedure, to assess the of driver
One driving dangerousness coefficient；
The evaluation module is additionally operable to the driving row behavioural information by detecting driver in driving procedure, to assess driver
The second driving dangerousness coefficient；
The evaluation module is additionally operable to the traffic information by the acquisition units time, and combines the behavior letter of the driver collected
Breath.The number that the various traffic rules detected in unit of account is actual are violated, obtains the danger coefficient based on traffic rules；
The evaluation module is additionally operable to by the traffic information in the acquisition units time, and combines the behavior of the driver collected
Information, the number of the various hydropacs detected in the unit of account time obtains the danger coefficient based on driving feature；
Processing module is weighted, for according to aforementioned four driving dangerousness coefficient, four different danger coefficients being mapped by weighting
Into a comprehensive danger coefficient.
7. device as claimed in claim 6, wherein, the state letter of vehicle in driver's driving procedure by collection analysis
Breath, the signal for travelling sensor collection specifically by vehicle to assess the first driving dangerousness coefficient of driver includes speed,
Throttle and brake information, using mapping function by the information for the use of these three, are mapped to the first driving dangerousness coefficient.
8. device as claimed in claim 6, wherein, it is described by detecting that driving every trade of the driver in driving procedure is letter
Breath, to assess the notice that the second driving dangerousness coefficient of driver occurs specifically by detection driver in driving procedure
Do not concentrate, using mobile phone and dietary behavior information, based on the number of the various situations detected in the unit interval, use mapping letter
Number, obtains the second driving dangerousness coefficient based on driving behavior manner.
9. device as claimed in claim 6, wherein, the traffic information by the acquisition units time, and combine and collect
Driver behavioural information.The number that the various traffic rules detected in unit of account is actual are violated, obtains being based on traffic
The danger coefficient of rule combines what is collected specifically by the traffic mark occurred in driving procedure in the detection unit interval
The measure taken of driver, judges that driver whether there is and slows down when turning round, gone in accordance with traffic lights rule and highway hypervelocity
For the number violated based on the various traffic rules detected in the unit interval, using mapping function, obtains being based on traffic rules
Danger coefficient.
10. device as claimed in claim 6, wherein, the traffic information by the acquisition units time, and combine collection
The behavioural information of the driver arrived, the number of the various hydropacs detected in the unit of account time obtains special based on driving
The position in pedestrian, vehicle and track that the danger coefficient levied occurs specifically by detecting in the unit interval in driving procedure, and
With reference to the measure taken of the driver collected, judge driver whether in driving procedure with pedestrian it is excessively near, apart from front truck
Distance reaches the situation less than safe distance and random change lane, based on the various hydropacs detected in the unit interval
Number, using mapping function, obtains dangerous system's religion based on driving feature.
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