CN108189763A - A kind of analysis method of driver's driving behavior and special intelligent vehicular rear mirror - Google Patents
A kind of analysis method of driver's driving behavior and special intelligent vehicular rear mirror Download PDFInfo
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- CN108189763A CN108189763A CN201810043998.1A CN201810043998A CN108189763A CN 108189763 A CN108189763 A CN 108189763A CN 201810043998 A CN201810043998 A CN 201810043998A CN 108189763 A CN108189763 A CN 108189763A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/12—Mirror assemblies combined with other articles, e.g. clocks
-
- 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
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/12—Mirror assemblies combined with other articles, e.g. clocks
- B60R2001/1223—Mirror assemblies combined with other articles, e.g. clocks with sensors or transducers
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The present invention relates to a kind of analysis method of driver's driving behavior and special intelligent vehicular rear mirror, including Lane Departure Warning System, front truck collision warning systems and Intelligent rearview mirror system；Intelligent rearview mirror system includes processor, accelerometer module, gyro module, GPS inertial navigation modules, body information receiving module and Vehicular display device；Accelerometer module is used to obtain the acceleration information of vehicle and is sent to processor；Gyro module is used to obtain the orientation angle of vehicle and angular acceleration data and is sent to processor；GPS inertial navigation modules are used to obtain the location information of vehicle and running time information and are sent to processor；Body information receiving module is used to obtain the supplemental characteristic of vehicle and transmission obtains processor, processor judges the bad steering behavior of driver in driving conditions according to the data of reception, and the bad steering behavior of driver is carried out statistics is sent to Vehicular display device showing.
Description
Technical field
The present invention relates to a kind of vehicular rear mirror, especially with regard to a kind of achievable driver's driving behavior analysis function
Special intelligent vehicular rear mirror and method belong to the intelligent vehicles technology field.
Background technology
With the development of development of Mobile Internet technology, mobile Internet has widely applied onboard system, and is integrated with each
The inside rear-view mirror product with GPS navigation, automobile data recorder etc. of kind of sensor widely apply it is preceding fill and after fill automobile
Component market.However, although rearview mirror of the prior art is integrated with multiple functions, some also has primary driving auxiliary work(
Can, but driver's driving behavior can not be analyzed, it is impossible to fully understand entire vehicle travel process, and then also not
Has the correcting function to the bad steering behavior in vehicle travel process.
Invention content
In view of the above-mentioned problems, the object of the present invention is to provide a kind of methods and special intelligent for analyzing driver's driving behavior
Vehicular rear mirror can be carried out analysis by driver's driving behavior in vehicle travel process and avoid bad steering behavior, and then
Greatly reduce driving accident.
To achieve the above object, the present invention takes following technical scheme：A kind of intelligent vehicle-carried rearview mirror, which is characterized in that
The rearview mirror includes Lane Departure Warning System, front truck collision warning systems and Intelligent rearview mirror system；Wherein, the track is inclined
After lane departure warning analysis being carried out from early warning system to vehicle actual travel image and analysis result being sent to the intelligence
Mirror system, after the front truck collision warning systems are analyzed by front truck anti-collision warning and analysis result is sent to the intelligence
Mirror system；The Intelligent rearview mirror system includes processor, accelerometer module, gyro module, navigation module, vehicle body letter
Cease receiving module and Vehicular display device；The accelerometer module is used to obtain the acceleration information of vehicle and is sent to the place
Manage device；The gyro module is used to obtain the orientation angle of vehicle and angular acceleration data and is sent to the processor；Institute
Navigation module is stated for obtaining the location information of vehicle and running time information and being sent to processor；The body information receives
Module is used to obtain the supplemental characteristic of vehicle and transmission obtains the processor, and the processor judges to go according to the data of reception
The bad steering behavior of driver during vehicle, and by the bad steering behavior of driver carry out statistics be sent to it is described vehicle-mounted aobvious
Show that device is shown.
Preferably, which further includes 4G transmission modules, and the processor passes through the 4G transmission modules
The statistical result of the bad steering behavior of driver is uploaded into cloud server and forms user report, provides building for optimization driving
View, and the form for passing through cell phone application is sent to user mobile phone.
Preferably, the bad steering behavior of driving conditions driver includes：The anxious bad steering behavior for accelerating and suddenly slowing down,
Illegal lane change and vehicle ride the bad steering behavior, dangerous bad steering behavior with vehicle, the bad steering row overtaken other vehicles of line traveling
The bad steering behavior and furious driving of bad steering behavior, zig zag for, sudden turn of events track and ultra-long time are driven not
Good driving behavior.
Preferably, the specific identifying way of the various bad steering behaviors of driver is respectively：
1) the anxious bad steering behavior for accelerating and suddenly slowing down
The processor is compared according to the vehicle acceleration data of acquisition with preset acceleration information, assert anxious add
Speed and the bad steering behavior suddenly slowed down；
2) illegal lane change and vehicle ride the bad steering behavior of line traveling
Illegal lane change and vehicle of the processor in Lane Departure Warning System analysis result calculating vehicle stroke
Ride the bad steering behavior of line traveling；
3) the dangerous bad steering behavior with vehicle
The processor is according to the analysis result calculating vehicle danger of front truck collision warning systems with the bad steering behavior of vehicle；
4) the bad steering behavior in sudden turn of events track
The processor judges the bad steering behavior in sudden turn of events track according to acceleration value and travel direction angle；
5) the bad steering behavior of zig zag
The processor is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, and identification obtains
The bad steering behavior of vehicle zig zag；
6) the bad steering behavior that furious driving and ultra-long time are driven
The processor according to the location information of the vehicle of acquisition and running time information, according to《The law on road traffic safety
Implementing regulations》, identify the furious driving of user and the bad steering behavior that ultra-long time is driven.
Preferably, the Intelligent rearview mirror system further includes tire pressure receiving module, and the processor obtains vehicle according to tire pressure
Lose pressure traveling li journey, thanks to press decision procedure be：There are one or more than one tire lose press then be considered thanks to press, multiple tires
It loses and presses simultaneously, each tire will not be lost and distance is pressed to be added by the distance that mileage is thanks to pressed to be travelled when only calculating thanks to pressure.
Preferably, the processor obtains vehicle oil consumption situation according to the driving behavior of driver, vehicle oil consumption model
Calculation formula：
In formula, DE is kinetic energy increment, and S is traveling distance, and a coefficient is obtained by vehicle oil consumption model to driving procedure,
Vehicle oil consumption situation identification is carried out using scoring by given threshold.
Preferably, the processor obtains vehicle vehicle damage situation according to speed and acceleration value, and vehicle damage model is：
In formula, v is speed, and a is vehicle acceleration, and S is traveling distance, and vehicle mill is carried out using scoring by given threshold
Damage situation identification.
Preferably, which further includes intelligent voice system, and the processor drives the bad of driver
It sails behavior and early warning is carried out by the intelligent voice system.
To achieve the above object, the present invention takes following technical scheme：A kind of point based on the intelligent vehicle-carried rearview mirror
The method for analysing driver's driving behavior, it is characterised in that including the following contents：According to vehicle acceleration data and preset acceleration
Degrees of data is compared, and counts the anxious bad steering behavior for accelerating and suddenly slowing down；According to Lane Departure Warning System analysis result
The bad steering behavior of line traveling is ridden in illegal lane change and vehicle in calculating vehicle stroke；It is analyzed according to front truck collision warning systems
As a result calculating vehicle danger is with the bad steering behavior of vehicle；According to acceleration value and travel direction angle statistics sudden turn of events track not
Good driving behavior；It is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, calculating vehicle zig zag
Bad steering behavior；According to the location information of the vehicle of acquisition and running time information, according to《The law on road traffic safety is implemented
Regulations》, bad steering behavior that the furious driving of counting user and ultra-long time are driven.
The present invention has the following advantages due to taking above technical scheme：1st, intelligent vehicle-carried rearview mirror of the invention is not
But the facilitating functions of mobile Internet can be provided to the user, also can drive to provide drive assistance function for user in real time, more
It is important to which the various data and combination driver's driving behavior in timely collection vehicle driving process are analyzed, count
Various bad steering behaviors in vehicle travel process.2nd, the present invention commonly has the function of the inside rear-view mirror of mobile Internet
On the basis of, increase have the function of deviation alarm and front truck anti-collision warning driving assistance system, with reference to GPS sensor,
The sensors such as acceleration transducer and Yaw rate sensor complete the bad steering behavior in vehicle travel process to driver
Analysis and statistics, and driving technology optimization is carried out according to the statistical result in a period of time to it, professional advice is provided, greatly
Ground reduces driving accident, protects traffic safety.3rd, intelligent vehicle-carried rearview mirror of the invention can also be by analyzing driving conditions row
Travel situations, the oil consumption situation of vehicle and the abrasion condition of vehicle are pressed to show that vehicle loses, driver can be according to vehicle reality
Border operating condition carries out on-call maintenance and maintenance to vehicle, ensures traffic safety.The present invention can be widely applied to vehicle-mounted back vision
In the making and use of mirror.
Description of the drawings
Fig. 1 is the intelligent vehicle-carried rear-view mirror schematic diagram of the present invention.
Specific embodiment
Come to carry out the present invention detailed description below in conjunction with attached drawing.It should be appreciated, however, that attached drawing has been provided only more
Understand the present invention well, they should not be interpreted as limitation of the present invention.
As shown in Figure 1, the intelligent vehicle-carried rearview mirror of achievable driver's driving behavior analysis function provided by the invention, with
Existing vehicular rear mirror is identical to be provided with driving recording camera and has the function of mobile Internet, and difference exists
In：The intelligent vehicle-carried rearview mirror of the present invention includes Lane Departure Warning System 1, front truck collision warning systems 2 and intelligent back vision mirror
System 3.Wherein, Lane Departure Warning System 1 and front truck collision warning systems 2 are existing apparatus, Lane Departure Warning System 1
Including dynamic camera 11 and dsp processor 12, front truck collision warning systems 2 include 24G millimetre-wave radars 21 and FPGA processing
Device 22.Dynamic camera 11 is fixed at the front top of vehicular rear mirror, and dynamic camera 11 is used to dynamically absorb vehicle
Actual travel image is simultaneously sent to dsp processor 12, and dsp processor 12 carries out lane departure warning to vehicle actual travel image
It analyzes and analysis result is sent to Intelligent rearview mirror system 3 by CAN bus.24G millimetre-wave radars 21 are fixed at vehicle
Carry the front lower portion of rearview mirror, for detecting the distance of vehicle and front truck and being sent to FPGA processor 22, FPGA processor 22
It is analyzed by front truck anti-collision warning and analysis result is sent to Intelligent rearview mirror system 3 by CAN bus.
Intelligent rearview mirror system 3 includes high speed arm processor 31, accelerometer module 32, gyro module 33, navigation mould
Block 34, body information receiving module 35, tire pressure receiving module 36 and Vehicular display device 37.
Accelerometer module 32 is used to obtain the acceleration information of vehicle, and the vehicle acceleration data of acquisition is sent to
High speed arm processor 31.Gyro module 33 is used to obtain the angular acceleration data of vehicle, and the angular acceleration that will obtain vehicle
Data are sent to high speed arm processor 31.Navigation module 34 is used to obtain location information and the driving of vehicle by GPS or the Big Dipper
Temporal information, and the location information of vehicle and running time information are sent to high speed arm processor 31.Body information receives mould
Block 35 is used to obtain the supplemental characteristic of vehicle and transmission obtains high speed arm processor 31.Tire pressure receiving module 36 is used to obtain vehicle
The tire pressure data of tire, and the tire pressure data of vehicle tyre are sent to high speed arm processor 31, high speed arm processor 31
The bad steering behavior in driving conditions is judged according to the data of reception, and the bad steering behavior of vehicle is subjected to statistics transmission
It is shown to Vehicular display device 37.
In a preferred embodiment, which further includes 4G transmission modules 38, high speed arm processor
The statistical result of the bad steering behavior of vehicle can also be uploaded cloud server by 31 by 4G transmission modules 38 forms user
Report provides the suggestion that optimization drives, and can be sent to user mobile phone by the form of cell phone application, so that user is known from
Oneself driving habit usually, and according to suggesting optimizing the driving behavior of oneself, so as to reduce traffic accident.
In a preferred embodiment, which further includes an intelligent voice system 4, intelligent sound system
System 4 may be used existing apparatus, high speed arm processor 31 by the bad steering behavior of driver by intelligent voice system 4 into
Row early warning.
In a preferred embodiment, the bad steering behavior of driving conditions driver includes：It is anxious to accelerate and suddenly slow down
Bad steering behavior, illegal lane change and vehicle ride the bad steering behavior of line traveling, dangerous bad steering behavior with vehicle, super
The bad steering behavior of vehicle, the bad steering behavior in sudden turn of events track, the bad steering behavior of zig zag and furious driving and super
The bad steering behavior driven for a long time, specific the following detailed description of each bad steering behavior assert process：
1) the anxious bad steering behavior for accelerating and suddenly slowing down
High speed arm processor 31 is compared according to the vehicle acceleration data of acquisition with preset acceleration information, is known
It does not worry acceleration and the bad steering behavior suddenly slowed down, wherein, it is of the invention anxious to accelerate (suddenly stepping on the gas) identification process to be：Using every
1s acceleration transducers refresh primary acceleration value, and high speed arm processor 31 calculates average acceleration value front and rear in 5s and surpasses
Cross 1.67m/s2(0.17G), speed incrementss are more than 30km/h in 5 seconds, are determined as that a priority accelerates；The anxious of the present invention is slowed down
(suddenly touching on the brake) identification process is：Refreshed using every 1s acceleration transducers and primary subtract acceleration value, high speed arm processor 31
It calculates front and rear being averaged in 5s and subtracts acceleration value less than 3.33m/s2(0.34G), speed decrement is more than 36km/h in 5 seconds, is sentenced
It is set to priority deceleration.
2) illegal lane change and vehicle ride the bad steering behavior of line traveling
Illegal lane change of the high speed arm processor 31 in Lane Departure Warning System analysis result calculating vehicle stroke and
Vehicle rides the bad steering behavior of line traveling, since Lane Departure Warning System is the prior art, so process repeats no more.
3) the dangerous bad steering behavior with vehicle
High speed arm processor 31 is according to the analysis result calculating vehicle danger of front truck collision warning systems with the bad steering of vehicle
Behavior, since front truck collision warning systems are the prior art, so process repeats no more.
4) the bad steering behavior of sudden turn of events track (overtaking other vehicles)
High speed arm processor 31 judges the bad steering behavior overtaken other vehicles, the present invention according to acceleration value and travel direction angle
Sudden turn of events track judgment mode：Refresh primary value, high speed ARM processing using every 1s acceleration sensors and yaw-angle pickoff
Device 31 calculates acceleration and keeps 2m/s2In the state of above, front and rear travel direction differential seat angle absolute value is more than 30 degree in 10s, sentences
It is set to primary high speed sudden turn of events road.
5) the bad steering behavior of zig zag
High speed arm processor 31 is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, is known
The bad steering behavior of vehicle zig zag is not obtained, and zig zag of the invention (anxious to beat steering wheel) judgment mode is：Utilize every 1s
Yaw-angle pickoff refreshes primary angular acceleration values, and high speed arm processor 31 calculates angle added-time speed and keeps 7 degree/s2Above
Under state, front and rear travel direction differential seat angle absolute value is more than 45 degree in 5s, is judged to once taking a sudden turn.
6) the bad steering behavior that furious driving and ultra-long time are driven
High speed arm processor 31 identifies the hypervelocity of user according to the location information of the vehicle of acquisition and running time information
The bad steering behavior driven with ultra-long time is driven, according to《Law on road traffic safety implementing regulations》62nd article of regulation：
Operating motor vehicles must not have following behavior：Continuous operating motor vehicles do not stopped more than 4 hours rest or the time of having a rest of stopping it is few
In 20 minutes, the preset time according to as defined in setting law of high speed arm processor 31 drove to furious driving and ultra-long time
Bad steering behavior is assert.
In a preferred embodiment, high speed arm processor 31 obtains vehicle according to tire pressure and loses pressure travel situations, specifically
Process is：Tire pressure data are 2 seconds one group of data, and ADAS (Advanced Driver Assistant System, advanced driving
Auxiliary system), the data such as CBS (Combination Braking System, linked braking system) be mono- group of data of 0.2m,
Time interval where all values for losing pressure is found out, then extract the speed data in the time interval, integration can lose
The distance of traveling is pressed, wherein, thanks to pressure decision procedure is：There are one or more than one tire lose press then be considered thanks to press, multiple wheels
Tire loses press simultaneously, and each tire will not be lost and distance is pressed to be added by the distance that mileage is thanks to pressed to be travelled when only calculating thanks to pressure.
In a preferred embodiment, high speed arm processor 31 obtains vehicle oil consumption according to the driving behavior of driver
Situation, detailed process are：The process of vehicle fuel is converted as follows from the point of view of energy：The change of oil
Learn energy --->Kinetic energy+interior energy of automobile --->Interior energy influences many because being known as of amount of fuel, and specific influence factor is 1 institute of table
Show：
The processing of 1 various influence factors of table
| Title | With the relationship of driving behavior |
| Machinery driving efficiency | Nothing |
| Windage | Nothing |
| Interior electric appliance (air-conditioning) | Nothing |
| Vehicle window | Nothing |
| Environment temperature | Nothing |
| Ambient humidity | Nothing |
| Atmospheric pressure | Nothing |
| The parking time | Nothing |
| Economic speed per hour | Have |
| Tire pressure | Nothing |
| Traffic environment | Have |
| Acceleration behavior | Have |
| Deceleration behavior | Have |
In the transfer process of energy, what kinetic energy embodied is useful work, in primary complete driving procedure (whole story is static)
In, total incrementss of kinetic energy and total reduction amount are equal, driving behavior can be described by the increment of kinetic energy.By speed i-th-
It is found that within the corresponding time, kinetic energy change amount Δ E is as follows for 1 data and i-th of data：
In formula, vi、vi-1I-th and (i-1)-th data of speed are represented respectively, m represents car weight, only takes the part of positve term, and
Car weight and driving behavior relationship are little, cast out car weight, and kinetic energy increment expression formula DE is as follows：
Kinetic energy increment expression formula in unit distance is as follows, this formula also serves as the calculation formula of oil consumption model：
In formula, S is traveling distance, to driving procedure by positive work model, can obtain a coefficient, be driven by evaluating
Behavior needs the score of a 0-100 to represent, by given threshold, the codomain (section) of coefficient is done and is substantially divided, according to
Drive the distribution situation of sample, the present invention 11 threshold values of setting, for example (,) Q≤Q1 then Score=0, Q ∈ (Q1, Q2] then Score ∈
(0,10], the threshold value of setting, which differs to be set to, to be uniformly distributed, and is scored at and is uniformly distributed between adjacent thresholds.
In a preferred embodiment, high speed arm processor 31 obtains vehicle vehicle damage feelings according to speed and acceleration value
Condition, vehicle damage model describe the abrasion condition of brake disc, and detailed process is：
In brake process, loss quality Δ m has following relationship：
Δ m=2 π r ω Nfn
In formula, ω is wear rate, and N is normal load, and r is friction radius, and f is friction coefficient, and n is turnning circle, that is, is turned
The fast * times.
Rotating speed, pressure (pressure of unit area) and wear rate have following relationship：
And automobile is when speed is v, the rotating speed of brake block is,
For wide 195mm, depth-width ratio 0.55 (in actual tire specification, provide 55, be after depth-width ratio amplifies 100 times
), hub diameter is 15 " tire, the rotating speed of brake disc is,
During vehicle normal driving, brake block rotating speed is in the range of 0-1070r/min, wear rate has certain variation.But it examines
Consider brake disc abrasion be typically by bringing to a halt situations such as it is caused, simultaneously for pressure be 0.42Mpa and 0.57Mpa when,
Wear rate does not vary widely, therefore in the analysis of vehicle damage model, wear rate ω can be used as a constant (coefficient)
Treat, the analysis such as table 2 of other physical quantitys：
Processing mode of 2 pairs of the table with losing quality related physical quantity
It can be obtained by upper table, in vehicle damage model process is calculated, after ignoring each coefficient, only surplus speed and acceleration, vehicle damage
Expression formula is as follows：
SFr=va
Vehicle is damaged, similar to oil consumption, the vehicle damage being equally only concerned in unit distance：
The result of calculating can be set as 0-100 conducts and comment according to the similary divided rank of judgment method of vehicle oil consumption situation
Point.
Based on the present invention intelligent vehicle-carried rearview mirror, the present invention also provides it is a kind of analyze driver's driving behavior method,
Specially：
It is compared according to vehicle acceleration data and preset acceleration information, counts anxious and accelerate and suddenly slow down bad
Driving behavior；
Line traveling is ridden in illegal lane change and vehicle in Lane Departure Warning System analysis result calculating vehicle stroke
Bad steering behavior；
According to the analysis result calculating vehicle danger of front truck collision warning systems with the bad steering behavior of vehicle；
According to the bad steering behavior in acceleration value and travel direction angle statistics sudden turn of events track；
It is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, calculating vehicle takes a sudden turn not
Good driving behavior；
According to the location information of the vehicle of acquisition and running time information, according to《Law on road traffic safety implementing regulations》,
The bad steering behavior that the furious driving of counting user and ultra-long time are driven.
The various embodiments described above are merely to illustrate the present invention, wherein the structure of each component, connection mode and manufacture craft etc. are all
It can be varied from, every equivalents carried out on the basis of technical solution of the present invention and improvement should not exclude
Except protection scope of the present invention.
Claims (9)
1. a kind of intelligent vehicle-carried rearview mirror, which is characterized in that the rearview mirror includes Lane Departure Warning System, front truck anti-collision warning
System and Intelligent rearview mirror system；Wherein, the Lane Departure Warning System carries out deviation to vehicle actual travel image
Analysis result is simultaneously sent to the Intelligent rearview mirror system by early warning analysis, and the front truck collision warning systems are collided by front truck
Analysis result is simultaneously sent to the Intelligent rearview mirror system by early warning analysis；
The Intelligent rearview mirror system includes processor, accelerometer module, gyro module, navigation module, body information and connects
Receive module and Vehicular display device；The accelerometer module is used to obtain the acceleration information of vehicle and is sent to the processing
Device；The gyro module is used to obtain the orientation angle of vehicle and angular acceleration data and is sent to the processor；It is described
Navigation module is used to obtain the location information of vehicle and running time information and is sent to processor；The body information receives mould
Block is used to obtain the supplemental characteristic of vehicle and transmission obtains the processor, and the processor judges to drive a vehicle according to the data of reception
The bad steering behavior of driver in the process, and the bad steering behavior of driver is subjected to statistics and is sent to the car-mounted display
Device is shown.
2. intelligent vehicle-carried rearview mirror as described in claim 1, which is characterized in that the intelligent vehicle-carried rearview mirror further includes 4G transmission moulds
The statistical result of the bad steering behavior of driver is uploaded cloud server by block, the processor by the 4G transmission modules
User report is formed, provides the suggestion that optimization drives, and the form for passing through cell phone application is sent to user mobile phone.
3. intelligent vehicle-carried rearview mirror as claimed in claim 1 or 2, which is characterized in that the bad steering row of driving conditions driver
It is to include：Anxious bad steering behavior, illegal lane change and the vehicle for accelerating and suddenly slowing down rides the bad steering behavior of line traveling, danger
Bad steering behavior with vehicle, the bad steering behavior overtaken other vehicles, the bad steering behavior in sudden turn of events track, zig zag bad steering
The bad steering behavior that behavior and furious driving and ultra-long time are driven.
4. intelligent vehicle-carried rearview mirror as claimed in claim 3, which is characterized in that the various bad steering behaviors of driver it is specific
Identifying way is respectively：
1) the anxious bad steering behavior for accelerating and suddenly slowing down
The processor is compared according to the vehicle acceleration data of acquisition with preset acceleration information, assert it is anxious accelerate and
The bad steering behavior suddenly slowed down；
2) illegal lane change and vehicle ride the bad steering behavior of line traveling
Line is ridden in illegal lane change and vehicle of the processor in Lane Departure Warning System analysis result calculating vehicle stroke
The bad steering behavior of traveling；
3) the dangerous bad steering behavior with vehicle
The processor is according to the analysis result calculating vehicle danger of front truck collision warning systems with the bad steering behavior of vehicle；
4) the bad steering behavior in sudden turn of events track
The processor judges the bad steering behavior in sudden turn of events track according to acceleration value and travel direction angle；
5) the bad steering behavior of zig zag
The processor is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, and identification obtains vehicle
The bad steering behavior of zig zag；
6) the bad steering behavior that furious driving and ultra-long time are driven
The processor according to the location information of the vehicle of acquisition and running time information, according to《The law on road traffic safety is implemented
Regulations》, identify the furious driving of user and the bad steering behavior that ultra-long time is driven.
5. intelligent vehicle-carried rearview mirror as described in claim 1, which is characterized in that the Intelligent rearview mirror system further includes tire pressure and connects
Module is received, the processor obtains vehicle according to tire pressure and loses pressure traveling li journey, and thanks to pressure decision procedure is：There are one or one with
Upper tire, which loses to press, to be then considered thanks to press, and multiple tires lose press simultaneously, the distance that travels when thanks to pressing the mileage only to calculate thanks to pressure, will not will
Each tire, which loses, presses distance to be added.
6. intelligent vehicle-carried rearview mirror as described in claim 1, which is characterized in that the processor is according to the driving row of driver
To obtain vehicle oil consumption situation, the calculation formula of vehicle oil consumption model：
In formula, DE is kinetic energy increment, and S is traveling distance, obtains a coefficient by vehicle oil consumption model to driving procedure, passes through
Given threshold carries out vehicle oil consumption situation identification using scoring.
7. intelligent vehicle-carried rearview mirror as described in claim 1, which is characterized in that the processor is obtained according to speed and acceleration value
Situation is damaged to vehicle vehicle, vehicle damage model is：
In formula, v is speed, and a is vehicle acceleration, and S is traveling distance, and vehicle abrasion feelings are carried out using scoring by given threshold
Condition identification.
8. intelligent vehicle-carried rearview mirror as described in claim 1, which is characterized in that the intelligent vehicle-carried rearview mirror further includes intelligent sound
The bad steering behavior of driver is carried out early warning by system, the processor by the intelligent voice system.
9. a kind of side of analysis driver's driving behavior based on rearview mirror intelligent vehicle-carried as described in any one of claim 1 to 8
Method, it is characterised in that including the following contents：
It is compared according to vehicle acceleration data and preset acceleration information, counts the anxious bad steering for accelerating and suddenly slowing down
Behavior；
The bad of line traveling is ridden in illegal lane change and vehicle in Lane Departure Warning System analysis result calculating vehicle stroke
Driving behavior；
According to the analysis result calculating vehicle danger of front truck collision warning systems with the bad steering behavior of vehicle；
According to the bad steering behavior in acceleration value and travel direction angle statistics sudden turn of events track；
It is compared according to the vehicle angular acceleration rates data of acquisition with preset angular acceleration, bad the driving of calculating vehicle zig zag
Sail behavior；
According to the location information of the vehicle of acquisition and running time information, according to《Law on road traffic safety implementing regulations》, statistics
The bad steering behavior that the furious driving of user and ultra-long time are driven.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810043998.1A CN108189763A (en) | 2018-01-17 | 2018-01-17 | A kind of analysis method of driver's driving behavior and special intelligent vehicular rear mirror |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810043998.1A CN108189763A (en) | 2018-01-17 | 2018-01-17 | A kind of analysis method of driver's driving behavior and special intelligent vehicular rear mirror |
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| Publication Number | Publication Date |
|---|---|
| CN108189763A true CN108189763A (en) | 2018-06-22 |
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| CN108769273A (en) * | 2018-08-24 | 2018-11-06 | 北斗航天汽车（北京）有限公司 | Driving behavior method for pushing based on angular transducer and supplying system |
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| CN109910904A (en) * | 2019-03-22 | 2019-06-21 | 深圳市澳颂泰科技有限公司 | A kind of driving behavior and vehicle drive gesture recognition system |
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