CN109606316A - A kind of driver identity recognition methods - Google Patents
A kind of driver identity recognition methods Download PDFInfo
- Publication number
- CN109606316A CN109606316A CN201811241811.5A CN201811241811A CN109606316A CN 109606316 A CN109606316 A CN 109606316A CN 201811241811 A CN201811241811 A CN 201811241811A CN 109606316 A CN109606316 A CN 109606316A
- Authority
- CN
- China
- Prior art keywords
- driver
- server module
- vehicle
- pressure
- sitting posture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000036544 posture Effects 0.000 claims description 57
- 230000008569 process Effects 0.000 claims description 7
- 230000005484 gravity Effects 0.000 claims description 6
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims description 3
- 230000002929 anti-fatigue Effects 0.000 claims 1
- 230000008859 change Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000036651 mood Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/25—Means to switch the anti-theft system on or off using biometry
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R2025/1013—Alarm systems characterised by the type of warning signal, e.g. visual, audible
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Aviation & Aerospace Engineering (AREA)
- Transportation (AREA)
- Human Computer Interaction (AREA)
- Collating Specific Patterns (AREA)
Abstract
The present invention relates to a kind of driver identity recognition methods, include the following steps: S1, car owner for common sitting posture information and use password typing server module, establish identity information database by server module；Before S2, vehicle launch, Intelligent seat acquires the sitting posture information of driver, and sitting posture information is transmitted to server module；S3, server module match the sitting posture information of driver with identity information database.This method is equipped with several pressure sensors on driver seat, the pressure distribution data of seat is detected by pressure sensor, the comparing result of the 3D pressure-plotting model establishing 3D pressure-plotting model based on pressure distribution data again, and then being generated according to driver and the 3D pressure-plotting model of input system in advance identifies identity.It is lower to the dependence of environment, accuracy of identification with higher.
Description
Technical field
The present invention relates to vehicle electric field, in particular to a kind of driver identity recognition methods.
Background technique
With the continuous improvement of living standards, automobile electronic information technology becomes increasingly popular, at the same time, automobile it is antitheft
Also it is increasingly valued by people.Traditional driver identity identification mainly passes through input password, typing fingerprint, scanning view
The modes such as film are realized.This identification method is not judged by accident substantially, and accuracy rate is higher, the identification method need to rely on specific software and
Hardware is just able to achieve, higher cost, and entire identification procedure needs driver to be actively entered information, changes driver
Driving habit, bring inconvenience to driver.In recent years, the concern of people, people are received by recognition of face driver identity
Face identification driver identity is of relatively low cost, and is not had any impact to the habit of driver, but recognition of face is to environment
The dependence of the luminous sensitivity of light and camera is larger, and under conditions of light is weaker, the accuracy of recognition of face is greatly reduced,
It is unfavorable for accurately identifying driver identity at night.
The driver identity recognition methods based on server module that the present invention provides a kind of, this method is on driver seat
Several pressure sensors are installed, the pressure distribution data of seat are detected by pressure sensor, then be with pressure distribution data
Foundation 3D pressure-plotting model, and then the 3D of the 3D pressure-plotting model generated according to driver and input system in advance is pressed
The comparing result of power distributed model identifies identity.The recognition methods is actively entered information without driver, does not change driver
Driving habit, while, with higher accuracy of identification lower to the dependence of environment.
Summary of the invention
In order to solve the above technical problems, The present invention provides a kind of driver identity recognition methods, based on vehicle-mounted ECU,
Intelligent seat and server module, the vehicle-mounted ECU are equipped with warning device, the Intelligent seat be equipped with gravity sensor and
The pressure detecting element of at least more than one, the vehicle-mounted ECU, Intelligent seat and server module are in communication with each other connection, the party
Method includes the following steps:
S1, car owner by common sitting posture information and use password typing server module, establish identity information number by server module
According to library；
Before S2, vehicle launch, Intelligent seat acquires the sitting posture information of driver, and sitting posture information is transmitted to server module；
S3, server module match the sitting posture information of driver with identity information database.
Further, further include following steps:
If the sitting posture information and identity information database successful match of S4, driver, server module, which is sent, successfully to be instructed to vehicle
ECU is carried, vehicle-mounted ECU makes vehicle launch；
If it fails to match for S5, the sitting posture information of driver and identity information database, server module sends failure command to vehicle
ECU is carried, vehicle-mounted ECU makes vehicle stall, while driver's input being required to use password；
Whether what S6, server module verifying driver inputted uses password correct, if correctly, vehicle launch is vehicle-mounted if mistake
ECU records driver information, and starts warning device.
Further, the step S1 includes following sub-step:
S11, Intelligent seat acquire weight and pressure distribution data under different sitting postures, and weight and pressure distribution data are transmitted
To server module；
S12, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures, and 3D pressure is divided
Cloth model is corresponding with weight to establish identity information database.
Further, in step S11, Intelligent seat be directed to same sitting posture under the conditions of weight and pressure distribution data at least
It needs to acquire 3 times.
Further, the step S12 includes following sub-step:
S121, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures；
S122, vehicle-mounted ECU record the operator seat status information under the conditions of different sitting postures, and operator seat status information is transmitted to clothes
Business device module；
S123, server module correspond to each other 3D pressure-plotting model, weight and operator seat status information, establish identity information
Database.
Further, the step S4 further includes adaptive step:
Operator seat status information corresponding with driver's sitting posture is sent to vehicle-mounted ECU by server module, and vehicle-mounted ECU is according to connecing
The operator seat status information received is automatically adjusted.
Further, the operator seat status information include Intelligent seat height, Intelligent seat between steering wheel at a distance from,
Steering wheel angle and door mirror angle.
Further, the step S3 includes following sub-step:
S31, server module carry out border delineation to the 3D pressure-plotting model in identity information database；
S32, server module carry out border delineation to the 3D pressure-plotting model that driver generates；
S33, server module respectively press the 3D of each 3D pressure-plotting model and driver's generation in identity information database
Power distributed model is put into same three-dimensional coordinate and compares and analyzes, and registration is more than or equal to particular value, i.e. successful match.
Further, the step S4 further includes anti-fatigue-driving step:
In vehicle travel process, Intelligent seat carries out continuous collecting, server to the weight and pressure distribution data of driver
Module compares collected sitting posture information with identity information database, if the sitting posture information and identity of discovery driver are believed
The sitting posture information for ceasing Input of Data is distinct, and server module sends a command to vehicle-mounted ECU, and vehicle-mounted ECU sends out driver
Fatigue drive prompting out.
Further, the distributed number of the pressure detecting element is between 230-280.
The advantageous effects that the present invention is played are as follows:
Compared with prior art, the invention discloses a kind of driver identity recognition methods, this method is pacified on driver seat
Equipped with several pressure sensors, the pressure distribution data of seat is detected by pressure sensor, then using pressure distribution data as base
Plinth establishes 3D pressure-plotting model, and then the 3D pressure of the 3D pressure-plotting model and input system in advance generated according to driver
The comparing result of distributed model identifies identity.The recognition methods is actively entered information without driver, does not change driver's
Driving habit, while, with higher accuracy of identification lower to the dependence of environment.In addition, driver's body disclosed by the invention
Part recognition methods can also be automatically adjusted operator seat status information according to the sitting posture of driver, make driver most to loosen
State is driven, and is conducive to driver's mood and is kept pleasant, and the comfort level experience of driver when driving is improved.
Detailed description of the invention
Fig. 1 is that the pressure in the embodiment of the present invention 1 is distributed 2D figure.
Fig. 2 is that the pressure in the embodiment of the present invention 1 is distributed 3D figure.
Fig. 3 is driver identity identification process figure of the present invention.
Specific embodiment
The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawing, so that advantages and features of the invention are more
It is easily readily appreciated by one skilled in the art, to make apparent define to protection scope of the present invention.
Embodiment 1:
A kind of driver identity recognition methods is present embodiments provided, vehicle-mounted ECU, Intelligent seat and server module, institute are based on
It states vehicle-mounted ECU, Intelligent seat and server module and is in communication with each other connection, be generally connected by internet.The vehicle-mounted ECU is matched
Equipped with warning device, in the present embodiment, the warning device is one of bluetooth warning device or acoustic-optic alarm or two
Kind.The Intelligent seat is equipped with gravity sensor and the pressure detecting element of at least more than one, the peace of pressure detecting element
Dress quantity is typically distributed across between 230-280, the gravity sensor and pressure detecting element with the master control system of Intelligent seat
The CPU that unites is connected, and the CPU is connected by Ethernet with server module, and the CPU also passes through CAN bus and vehicle-mounted ECU phase
Even.In addition, the Intelligent seat is also equipped with electric power controller, the electric power controller is used to be CPU, gravity sensor
And pressure detecting element provides electric energy.In the present embodiment, 256 pressure detecting elements are equipped on the Intelligent seat altogether.The party
Method specifically comprises the following steps (as shown in Figure 3):
S1, car owner by common sitting posture information and use password typing server module, establish identity information number by server module
According to library, the sitting posture information of car owner's typing is more, and identity information database is bigger, and the subsequent identification to driver identity is more quasi-
Really；
Before S2, vehicle launch, Intelligent seat acquires the sitting posture information of driver, and sitting posture information is transmitted to server module.
In the present embodiment, sitting posture information is transmitted to server module by Ethernet by the CPU in Intelligent seat.Once on driver
Vehicle, the gravity sensor in Intelligent seat will get the weight of driver, while Intelligent seat can be according to the position of driver
It sets and is biased into left, right, centre, front, rear, the contact portion of driver's body and Intelligent seat is divided into multiple etc.
Part, for example 256 parts are subdivided into, this 256 parts of pressure data can be transmitted to CPU by pressure detecting element, and the CPU is by number pressure
According to being further transmitted to server module, the server module is fitted to 3D pressure model (such as this 256 parts of pressure datas
Shown in Fig. 2 and Fig. 3).Again because corresponding relationship is distributed in the pressure when body type feature of human body is sat down with it, once fitting obtains
3D pressure model can calculate the body type feature of driver, such as height, weight, hip circumference information.Therefore by 3D pressure mould
Type is compared with the 3D pressure model of identity information database, so that it may the identity of driver is accurately identified, it is very convenient.
S3, server module match the sitting posture information of driver with identity information database, specific matching process
It is to match 3D pressure model obtained in step S2 with the 3D pressure model in identity information database.
If the sitting posture information and identity information database successful match of S4, driver, server module, which is sent, successfully to be instructed
To vehicle-mounted ECU, vehicle-mounted ECU makes vehicle launch；
If it fails to match for S5, the sitting posture information of driver and identity information database, server module sends failure command to vehicle
ECU is carried, vehicle-mounted ECU makes vehicle stall, while driver's input being required to use password；
Whether what S6, server module verifying driver inputted uses password correct, if correctly, vehicle launch is vehicle-mounted if mistake
ECU records driver information, and starts warning device.In the present embodiment, vehicle-mounted ECU is also equipped with camera, the camera
The barn door being mounted on above steering wheel, for obtaining the appearance of driver.Once server module confirms driver's input
Password be it is wrong, server module will send a command to vehicle-mounted ECU, and vehicle-mounted ECU can start camera to driver at once
It takes pictures, and photo is transmitted to server module, the server module can deposit the sitting posture information and photo of driver
The car thief's archives for entering foundation, are checked convenient for subsequent car owner.
Wherein, the step S1 includes following sub-step:
S11, Intelligent seat acquire weight and pressure distribution data under different sitting postures, and weight and pressure distribution data are transmitted
To server module；The Intelligent seat be directed to same sitting posture under the conditions of weight and pressure distribution data at least need to acquire 3
Secondary, times of collection is more, and pressure distribution data is more accurate.In the present embodiment, the Intelligent seat is directed under the conditions of same sitting posture
Weight and pressure distribution data acquire 3 times.In addition, user can also constantly pass through intelligence in vehicle travel process
Energy seat is to server module typing sitting posture information, with the 3D pressure model improved in identity information database, and then improves and drives
The identification accuracy rate for the person of sailing.
S12, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures, and 3D is pressed
Power distributed model is corresponding with weight to establish identity information database.
The step S3 includes following sub-step:
S31, server module carry out border delineation to the 3D pressure-plotting model in identity information database；
S32, server module carry out border delineation to the 3D pressure-plotting model that driver generates；
S33, server module respectively press the 3D of each 3D pressure-plotting model and driver's generation in identity information database
Power distributed model is put into same three-dimensional coordinate and compares and analyzes, and registration is more than or equal to particular value, i.e. successful match.This implementation
In example, the characteristic value is set as 98%.
The step S4 includes anti-fatigue-driving step:
In vehicle travel process, Intelligent seat carries out continuous collecting, server to the weight and pressure distribution data of driver
Module compares the sitting posture information that continuous collecting obtains with identity information database, if discovery driver sitting posture information with
The sitting posture information of identity information database typing is distinct, and server module sends a command to vehicle-mounted ECU, and vehicle-mounted ECU is to driving
The person of sailing issues fatigue drive prompting.In addition, server module is collected the sitting posture information of driver when accident occurring every time
Storage, in vehicle travel process, server module can by continuous collecting to sitting posture information believe with sitting posture when occurring accident
Breath is compared, once the similarity of the two is higher than 95%, server module will issue fatigue drive prompting, if server mould
Block does not obtain driver's response after issuing fatigue drive prompting, and server module will issue self-actuating brake to vehicle-mounted ECU and refer to
It enables, vehicle-mounted ECU controls vehicle emergency brake, prevents traffic accident, improves driving safety to a certain degree.
Embodiment 2:
The present embodiment is similar to Example 1, and the main distinction is, the step S12 includes following sub-step:
S121, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures；
S122, vehicle-mounted ECU record the operator seat status information under the conditions of different sitting postures, and operator seat status information is transmitted to clothes
Business device module；
S123, server module correspond to each other 3D pressure-plotting model, weight and operator seat status information, establish identity information
Database.
Acquisition based on vehicle-mounted ECU in step S122 to the operator seat status information under the conditions of different sitting postures, step S4 is also
Including adaptive step corresponding with step S122:
Operator seat status information corresponding with driver's sitting posture is sent to vehicle-mounted ECU by server module, and vehicle-mounted ECU is according to connecing
The operator seat status information received is automatically adjusted.During vehicle, adjustment of the driver to operator seat status information is vehicle-mounted
ECU can typing server module, the time that driver drives vehicle is more long, and server module is collected into for the sitting posture information
Operator seat status information it is more, then will more meet driver by adaptive step operator seat status information adjusted
Habit and rule, high degree enhances the convenience and experience of driving.In the present embodiment, the operator seat status information packet
Include but be not limited to Intelligent seat height, Intelligent seat between steering wheel at a distance from, steering wheel angle and door mirror angle.
The invention discloses a kind of driver identity recognition methods, this method is equipped with several pressure on driver seat and passes
Sensor detects the pressure distribution data of seat by pressure sensor, then 3D pressure point is established based on pressure distribution data
Cloth model, and then the comparison of the 3D pressure-plotting model and the 3D pressure-plotting model of input system in advance generated according to driver
As a result identity is identified.The recognition methods is actively entered information without driver, does not change the driving habit of driver, while right
The dependence of environment is lower, accuracy of identification with higher.In addition, driver identity recognition methods disclosed by the invention can also root
Operator seat status information is automatically adjusted according to the sitting posture of driver, makes driver and is driven with the state most loosened, benefit
It keeps pleasant in driver's mood, improves the comfort level experience of driver when driving.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations
Mode within the knowledge of a person skilled in the art can also be without departing from the purpose of the present invention
Various changes can be made.
Claims (10)
1. a kind of driver identity recognition methods, which is characterized in that it is based on vehicle-mounted ECU, Intelligent seat and server module, it is described
Vehicle-mounted ECU is equipped with warning device, and the Intelligent seat is equipped with gravity sensor and the pressure detecting member of at least more than one
Part, the vehicle-mounted ECU, Intelligent seat and server module are in communication with each other connection, and this method comprises the following steps:
S1, car owner by common sitting posture information and use password typing server module, establish identity information number by server module
According to library；
Before S2, vehicle launch, Intelligent seat acquires the sitting posture information of driver, and sitting posture information is transmitted to server module；
S3, server module match the sitting posture information of driver with identity information database.
2. a kind of driver identity recognition methods as described in claim 1, which is characterized in that further include following steps:
If the sitting posture information and identity information database successful match of S4, driver, server module, which is sent, successfully to be instructed to vehicle
ECU is carried, vehicle-mounted ECU makes vehicle launch；
If it fails to match for S5, the sitting posture information of driver and identity information database, server module sends failure command to vehicle
ECU is carried, vehicle-mounted ECU makes vehicle stall, while driver's input being required to use password；
Whether what S6, server module verifying driver inputted uses password correct, if correctly, vehicle launch is vehicle-mounted if mistake
ECU records driver information, and starts warning device.
3. a kind of driver identity recognition methods as claimed in claim 1 or 2, which is characterized in that the step S1 includes as follows
Sub-step:
S11, Intelligent seat acquire weight and pressure distribution data under different sitting postures, and weight and pressure distribution data are transmitted
To server module；
S12, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures, and 3D pressure is divided
Cloth model is corresponding with weight to establish identity information database.
4. a kind of driver identity recognition methods as claimed in claim 3, which is characterized in that in step S11, Intelligent seat is directed to
Weight and pressure distribution data under the conditions of same sitting posture at least need to acquire 3 times.
5. a kind of driver identity recognition methods as claimed in claim 3, which is characterized in that the step S12 includes following son
Step:
S121, server module establish 3D pressure-plotting model for the pressure distribution data under different sitting postures；
S122, vehicle-mounted ECU record the operator seat status information under the conditions of different sitting postures, and operator seat status information is transmitted to clothes
Business device module；
S123, server module correspond to each other 3D pressure-plotting model, weight and operator seat status information, establish identity information
Database.
6. a kind of driver identity recognition methods as claimed in claim 5, which is characterized in that the step S4 further includes adaptive
Step:
Operator seat status information corresponding with driver's sitting posture is sent to vehicle-mounted ECU by server module, and vehicle-mounted ECU is according to connecing
The operator seat status information received is automatically adjusted.
7. a kind of driver identity recognition methods as claimed in claim 5, which is characterized in that the operator seat status information includes
Intelligent seat height, Intelligent seat between steering wheel at a distance from, steering wheel angle and door mirror angle.
8. a kind of driver identity recognition methods as claimed in claim 3, which is characterized in that the step S3 includes following sub-step
It is rapid:
S31, server module carry out border delineation to the 3D pressure-plotting model in identity information database；
S32, server module carry out border delineation to the 3D pressure-plotting model that driver generates；
S33, server module respectively press the 3D of each 3D pressure-plotting model and driver's generation in identity information database
Power distributed model is put into same three-dimensional coordinate and compares and analyzes, and registration is more than or equal to particular value, i.e. successful match.
9. a kind of driver identity recognition methods as claimed in claim 2, which is characterized in that the step S4 further includes anti-fatigue
Driving procedures:
In vehicle travel process, Intelligent seat carries out continuous collecting, server to the weight and pressure distribution data of driver
Module compares collected sitting posture information with identity information database, if the sitting posture information and identity of discovery driver are believed
The sitting posture information for ceasing Input of Data is distinct, and server module sends a command to vehicle-mounted ECU, and vehicle-mounted ECU sends out driver
Fatigue drive prompting out.
10. a kind of driver identity recognition methods as described in claim 1, which is characterized in that the number of the pressure detecting element
Amount is distributed between 230-280.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811241811.5A CN109606316A (en) | 2018-10-24 | 2018-10-24 | A kind of driver identity recognition methods |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811241811.5A CN109606316A (en) | 2018-10-24 | 2018-10-24 | A kind of driver identity recognition methods |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109606316A true CN109606316A (en) | 2019-04-12 |
Family
ID=66002954
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811241811.5A Pending CN109606316A (en) | 2018-10-24 | 2018-10-24 | A kind of driver identity recognition methods |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109606316A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570539A (en) * | 2019-09-05 | 2019-12-13 | 成都亿盟恒信科技有限公司 | Vehicle-mounted intelligent terminal with identity card identification function |
| CN112193251A (en) * | 2020-10-13 | 2021-01-08 | 一汽解放汽车有限公司 | Driving posture feedback system and method for driver |
| CN113386777A (en) * | 2021-06-24 | 2021-09-14 | 广汽本田汽车有限公司 | Vehicle adaptive control method, system, vehicle and computer storage medium |
| WO2021220870A1 (en) * | 2020-04-27 | 2021-11-04 | テイ・エス テック株式会社 | Seat application management device, seat experiencing system, and seat application management program |
| CN114148290A (en) * | 2021-12-23 | 2022-03-08 | 盐城市华悦汽车部件有限公司 | Safety protection system of bus cab |
| US20230391290A1 (en) * | 2022-06-02 | 2023-12-07 | Toyota Motor Engineering & Manufacturing North America, Inc. | Object detection system for a vehicle |
| EP4287154A4 (en) * | 2021-03-24 | 2024-04-24 | NEC Corporation | Driver collation system, driver collation method, and recording medium |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102355850A (en) * | 2009-03-18 | 2012-02-15 | 爱信精机株式会社 | Biological parameter monitoring method, computer program, and biological parameter monitoring device |
| CN102456280A (en) * | 2010-10-20 | 2012-05-16 | 李尔公司 | Vehicular dynamic ride simulation system using a human biofidelic manikin and a seat pressure distribution sensor array |
| CN202243009U (en) * | 2011-07-29 | 2012-05-30 | 黄淮学院 | Intelligent driver identification system |
| CN102582473A (en) * | 2012-03-06 | 2012-07-18 | 浙江吉利汽车研究院有限公司 | Automatic driving sitting position adjusting device and method |
| CN202966190U (en) * | 2012-11-23 | 2013-06-05 | 安徽师范大学 | Driver identity recognition device |
| KR20130130537A (en) * | 2012-05-22 | 2013-12-02 | 포항공과대학교 산학협력단 | Body pressure distribution analysis system and method thereof |
| US20130332104A1 (en) * | 2012-06-09 | 2013-12-12 | Xsensor Technology Corporation | Analysing Seating Using Pressure Sensors |
| CN104085350A (en) * | 2014-07-31 | 2014-10-08 | 长城汽车股份有限公司 | Method and system used for monitoring sitting postures of drivers and vehicle |
| CN104108393A (en) * | 2014-07-30 | 2014-10-22 | 上海工程技术大学 | Intelligent cushion system for automobile driver |
| CN104369739A (en) * | 2013-08-12 | 2015-02-25 | 通用汽车环球科技运作有限责任公司 | Vehicle systems and methods for identifying a driver |
| CN204895390U (en) * | 2015-07-03 | 2015-12-23 | 郑州宇通客车股份有限公司 | Driver discerns management system |
| GB201602770D0 (en) * | 2015-02-18 | 2016-03-30 | Rees Emily | Weight distribution analysis |
| EP3251889A1 (en) * | 2016-06-03 | 2017-12-06 | Volvo Car Corporation | Sitting position adjustment system |
| CN107621869A (en) * | 2016-07-15 | 2018-01-23 | 深圳会当科技有限公司 | A kind of Intelligent seat identification system |
| CN107757553A (en) * | 2016-08-22 | 2018-03-06 | 联想（新加坡）私人有限公司 | Identify method, apparatus, system and the associated vehicle of user |
| US20180154808A1 (en) * | 2016-12-07 | 2018-06-07 | Hyundai Motor Company | Apparatus and method for evaluating a seat by using body pressure distribution |
| US20180201225A1 (en) * | 2017-01-16 | 2018-07-19 | DURA Automotive Holdings U.K., Ltd | Method for authorizing a driver to activate at least one system of a vehicle, based on a biometric authentication process |
-
2018
- 2018-10-24 CN CN201811241811.5A patent/CN109606316A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102355850A (en) * | 2009-03-18 | 2012-02-15 | 爱信精机株式会社 | Biological parameter monitoring method, computer program, and biological parameter monitoring device |
| CN102456280A (en) * | 2010-10-20 | 2012-05-16 | 李尔公司 | Vehicular dynamic ride simulation system using a human biofidelic manikin and a seat pressure distribution sensor array |
| CN202243009U (en) * | 2011-07-29 | 2012-05-30 | 黄淮学院 | Intelligent driver identification system |
| CN102582473A (en) * | 2012-03-06 | 2012-07-18 | 浙江吉利汽车研究院有限公司 | Automatic driving sitting position adjusting device and method |
| KR20130130537A (en) * | 2012-05-22 | 2013-12-02 | 포항공과대학교 산학협력단 | Body pressure distribution analysis system and method thereof |
| US20130332104A1 (en) * | 2012-06-09 | 2013-12-12 | Xsensor Technology Corporation | Analysing Seating Using Pressure Sensors |
| CN202966190U (en) * | 2012-11-23 | 2013-06-05 | 安徽师范大学 | Driver identity recognition device |
| CN104369739A (en) * | 2013-08-12 | 2015-02-25 | 通用汽车环球科技运作有限责任公司 | Vehicle systems and methods for identifying a driver |
| CN104108393A (en) * | 2014-07-30 | 2014-10-22 | 上海工程技术大学 | Intelligent cushion system for automobile driver |
| CN104085350A (en) * | 2014-07-31 | 2014-10-08 | 长城汽车股份有限公司 | Method and system used for monitoring sitting postures of drivers and vehicle |
| GB201602770D0 (en) * | 2015-02-18 | 2016-03-30 | Rees Emily | Weight distribution analysis |
| CN204895390U (en) * | 2015-07-03 | 2015-12-23 | 郑州宇通客车股份有限公司 | Driver discerns management system |
| EP3251889A1 (en) * | 2016-06-03 | 2017-12-06 | Volvo Car Corporation | Sitting position adjustment system |
| CN107621869A (en) * | 2016-07-15 | 2018-01-23 | 深圳会当科技有限公司 | A kind of Intelligent seat identification system |
| CN107757553A (en) * | 2016-08-22 | 2018-03-06 | 联想（新加坡）私人有限公司 | Identify method, apparatus, system and the associated vehicle of user |
| US20180154808A1 (en) * | 2016-12-07 | 2018-06-07 | Hyundai Motor Company | Apparatus and method for evaluating a seat by using body pressure distribution |
| US20180201225A1 (en) * | 2017-01-16 | 2018-07-19 | DURA Automotive Holdings U.K., Ltd | Method for authorizing a driver to activate at least one system of a vehicle, based on a biometric authentication process |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570539A (en) * | 2019-09-05 | 2019-12-13 | 成都亿盟恒信科技有限公司 | Vehicle-mounted intelligent terminal with identity card identification function |
| WO2021220870A1 (en) * | 2020-04-27 | 2021-11-04 | テイ・エス テック株式会社 | Seat application management device, seat experiencing system, and seat application management program |
| CN112193251A (en) * | 2020-10-13 | 2021-01-08 | 一汽解放汽车有限公司 | Driving posture feedback system and method for driver |
| EP4287154A4 (en) * | 2021-03-24 | 2024-04-24 | NEC Corporation | Driver collation system, driver collation method, and recording medium |
| CN113386777A (en) * | 2021-06-24 | 2021-09-14 | 广汽本田汽车有限公司 | Vehicle adaptive control method, system, vehicle and computer storage medium |
| CN114148290A (en) * | 2021-12-23 | 2022-03-08 | 盐城市华悦汽车部件有限公司 | Safety protection system of bus cab |
| CN114148290B (en) * | 2021-12-23 | 2023-02-21 | 盐城市华悦汽车部件有限公司 | Safety protection system of bus cab |
| US20230391290A1 (en) * | 2022-06-02 | 2023-12-07 | Toyota Motor Engineering & Manufacturing North America, Inc. | Object detection system for a vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109606316A (en) | A kind of driver identity recognition methods | |
| US11383721B2 (en) | System and method for responding to driver state | |
| CN104816694B (en) | One kind is driven condition intelligent adjusting apparatus and method | |
| US20190031127A1 (en) | System and method for determining a user role and user settings associated with a vehicle | |
| EP3683623B1 (en) | System and method for responding to driver state | |
| CN113752983B (en) | Vehicle unlocking control system and method based on face recognition/eye recognition | |
| CN202686280U (en) | Vehicle anti-theft and start-up system based on face recognition | |
| US11538299B2 (en) | Passive entry passive start verification with two-factor authentication | |
| CN106627589A (en) | Vehicle driving safety auxiliary method and system and vehicle | |
| CN106956620A (en) | Driver's sitting posture automatic adjustment system and method | |
| CN108327680A (en) | A kind of control method for vehicle, apparatus and system | |
| JP2002288670A (en) | Personal authentication device using facial image | |
| US7295123B2 (en) | Method for detecting a person in a space | |
| CN112883417A (en) | New energy automobile control method and system based on face recognition and new energy automobile | |
| CN112036468A (en) | Driving operation system adjusting method, vehicle and storage medium | |
| CN108564074A (en) | A kind of timesharing car rental method for managing security and system based on FACEID | |
| CN107585063A (en) | A kind of automobile visual angle method of adjustment based on cloud service | |
| CN108646768A (en) | A kind of unmanned bus starts control system and control method | |
| CN113254909B (en) | Vehicle-mounted user account login method and system | |
| CN205554048U (en) | Driver fatigue rear -view mirror is prevented to vehicle | |
| CN209064038U (en) | Automotive self-adaptive human body intelligent enters system | |
| JP7273955B2 (en) | Information processing device, vehicle control device, information processing method, and program | |
| CN208722220U (en) | A kind of timesharing car rental safety management system based on FACEID | |
| Srivastava | Driver's drowsiness identification using eye aspect ratio with adaptive thresholding | |
| CN113635835A (en) | Intelligent rearview mirror adjusting method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190412 |
|
| RJ01 | Rejection of invention patent application after publication |