CN101236695A - Driver status estimation system based on vehicle mounted sensor network - Google Patents

Driver status estimation system based on vehicle mounted sensor network Download PDF

Info

Publication number
CN101236695A
CN101236695A CNA2008100599633A CN200810059963A CN101236695A CN 101236695 A CN101236695 A CN 101236695A CN A2008100599633 A CNA2008100599633 A CN A2008100599633A CN 200810059963 A CN200810059963 A CN 200810059963A CN 101236695 A CN101236695 A CN 101236695A
Authority
CN
China
Prior art keywords
driver
vehicle
sensor network
driving
real
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
Application number
CNA2008100599633A
Other languages
Chinese (zh)
Inventor
宋恩亮
魏建明
邢涛
张宏俊
刘海涛
王营冠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiaxing Wireless Sensor Network Engineering Center, Chinese Academy of Sciences
Original Assignee
Microsystem Branch of Jiaxing Center of CAS
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Microsystem Branch of Jiaxing Center of CAS filed Critical Microsystem Branch of Jiaxing Center of CAS
Priority to CNA2008100599633A priority Critical patent/CN101236695A/en
Publication of CN101236695A publication Critical patent/CN101236695A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention provides a driver state evaluation system based on an onboard sensor network which comprises a vehicle running state evaluation sensor network, a vehicle driving state evaluation sensor network and a driver physical quality real-time evaluation sensor network. The invention enhances monitoring strength of safety driving, reduces occurrences of traffic accidents and ensures safety and smoothness of road by evaluating driving behavior and physical quality of a driver before driving and during driving.

Description

Driver status estimation system based on vehicle mounted sensor network
Technical field
The present invention relates to sensor network and intelligent transportation field, particularly based on the driver status estimation system of vehicle mounted sensor network.
Background technology
The information of China public transportation administration bureau shows that 241734 of road traffic accidents took place altogether in the whole nation to September in 2007 1, causes 57168 people's death, 288490 people injured, 8.5 hundred million yuan of direct property losss.In the frequent traffic hazard that takes place, driver fatigue has become one of principal element that causes traffic hazard at present.
The driver fatigue monitoring technique has important effect to reducing road accident rate.Have at present and comprise that Video processing, Flame Image Process, multiple technologies can realize the monitoring of driver fatigue degree.The vehicle running state assessment also has significant progress with the vehicle driving state assessment technology, and the drive recorder of similar aircraft black box can be installed in the high-end vehicle mostly, comes the health status of registration of vehicle and the formal parameter of vehicle.Some vehicle also can install automatic anti-lock braking system, air bag system, drive high-grade infosystems such as steady system, GPS positioning system and DAS (Driver Assistant System) automatically helps driver's operating and controlling vehicle, plays the effect of safe driving.
Though many vehicle state monitoring system, DAS (Driver Assistant System) and driver fatigue supervisory systems have all played vehicle and driver monitoring and auxiliary security driving function in some aspects preferably at present, but all do not constitute network, form the sensor network system of message complementary sense, resource sharing.
Summary of the invention
The purpose of this invention is to provide a kind of driver status estimation system based on vehicle mounted sensor network.
What the present invention will solve is the problem of existing driver because of the traffic hazard of fatigue driving initiation.
The present invention includes for achieving the above object:
Vehicle running state assessment sensor network, safety traffic key elements such as the speed of real-time monitoring vehicle, acceleration, gear, steering wheel position, oil mass, water temperature, electric weight, voltage, electric current, air bag state, tire pressure, bearing temperature, timely running status and health status of reacting vehicle to the driver.
Vehicle driving state assessment sensor network, the driving behavior that real-time monitoring driving person makes vehicle, comprise startup, shift gears, brake, stop, open the door, close the door, turn to and driving behavior such as switching signal lamp, output data according to the vehicle driving state sensor node, can judge tentatively whether vehicle violating the regulations, illegal activities such as parking offense, illegal traffic, illegal driving occur, and can judge whether the driving behavior that the driver makes when meeting urgent driving situation is proper, the vaild evidence of accident treatment is provided to traffic hazard processing department.
Driver's fitness real-time assessment sensor network, it is characterized in that node monitoring driving person's condition in real time, comprise the main body index that influences such as eyesight state, sense of hearing state, physical fitness index, reaction promptness, sleep need, psychological condition, notice concentration degree are driven.Driver's fitness real-time assessment sensor network judges that according to above data whether the present condition of driver has the ability to continue steering vehicle, in time reminds the driver to replace or rest on the spot.The data of driver's fitness real-time assessment sensor network record can also be handled the reference of department's accident treatment as traffic hazard.
The present invention writes down and dynamic evaluation vehicle running state according to vehicle running state assessment sensor network, guarantees the safe condition of vehicle self; Vehicle driving state assessment sensor network writes down and dynamic evaluation Real Time Observation driver's the level of controlling and professional skill, guarantee driving safety to driver's trailer reversing behavior; According to of the assessment of driver's fitness real-time assessment sensor network to driver's condition, guarantee driver's steering vehicle in the time period that the driving behavior ability is arranged, reduce the probability that fatigue driving takes place, ensure the safe operation of safety of person vehicle, road safety and traffic system.
Description of drawings:
Fig. 1 illustrates the driver status estimation system structural drawing based on vehicle mounted sensor network.
Embodiment:
Below in conjunction with drawings and Examples the present invention is done a detailed description, further understand and admit so that the present invention had.
As shown in Figure 1, the driver status estimation system based on vehicle mounted sensor network comprises:
1, vehicle running state assessment sensor network, safety traffic key elements such as the speed of its real-time monitoring vehicle, acceleration, gear, steering wheel position, oil mass, water temperature, electric weight, voltage, electric current, air bag state, tire pressure, bearing temperature, timely running status and health status of reacting vehicle to the driver.Simultaneously, the vehicle running state sensor network offers vehicle driving state assessment sensor network with data, vehicle driver's the mode of operation and the output state of vehicle running state sensor network are contrasted, whether the present maneuvering performance that checks vehicles exists hidden danger, and in time current state is offered the driver, and car operation administrative authority, improve efficient and reliability that vehicle safety is checked, reduce the inspection cost of regular safety inspection.The specific implementation of travel condition of vehicle sensor node can comprise technological means such as temperature sensing circuit, current detection circuit, voltage detecting circuit, liquid level detection circuit, code-disc, vehicle speed sensor circuit, baroceptor circuit, magnetic switch circuit by multiple detection technique.
2, vehicle driving state assessment sensor network, the driving behavior that its real-time monitoring driving person makes vehicle, comprise startup, shift gears, brake, stop, open the door, close the door, turn to and driving behavior such as switching signal lamp, output data according to the vehicle driving state sensor node, can judge tentatively whether vehicle violating the regulations, illegal activities such as parking offense, illegal traffic, illegal driving occur, and can judge whether the driving behavior that the driver makes when meeting urgent driving situation is proper, the vaild evidence of accident treatment is provided to traffic hazard processing department.The specific implementation of vehicle driving state sensor node can comprise detection technique means such as magnetic switch circuit, code-disc, digital quantity input circuit, current detection circuit, voltage detecting circuit by multiple detection technique.
3, driver's fitness real-time assessment sensor network, its real-time monitoring driving person's condition comprises the main body index that influences such as eyesight state, sense of hearing state, physical fitness index, reaction promptness, sleep need, psychological condition, notice concentration degree are driven.Driver's fitness real-time assessment sensor network judges that according to above data whether the present condition of driver has the ability to continue steering vehicle, in time reminds the driver to replace or rest on the spot.The data of driver's fitness real-time assessment sensor network record can also be handled the reference of department's accident treatment as traffic hazard.Physical state detection techniques such as the technology that the motion state of mouth, eyes was monitored in real time when driver's fitness real-time assessment sensor network can adopt the machine vision means to driver fatigue, electrocardio detection technique, the horizontal detection technique of body fluid electrolysis, brain power technology, eye face optic nerve fatigue detection technique, blood pressure, blood-sugar content, blood viscosity and medical science index measurement technology are come comprehensive assessment driver's fatigue exponent and real-time driving efficiency, and whether the current fitness of assess driver is fit to continue to bear driver's task.
Evaluating system writes down and dynamic evaluation vehicle running state according to vehicle running state assessment sensor network, guarantees the safe condition of vehicle self; Vehicle driving state assessment sensor network writes down and dynamic evaluation Real Time Observation driver's the level of controlling and professional skill, guarantee driving safety to driver's trailer reversing behavior; According to of the assessment of driver's fitness real-time assessment sensor network to driver's condition, guarantee driver's steering vehicle in the time period that the driving behavior ability is arranged, reduce the probability that fatigue driving takes place, ensure the safe operation of safety of person vehicle, road safety and traffic system.
Vehicle running state assessment sensor network, vehicle driving state assessment sensor network and the common driver status estimation system that constitutes based on vehicle mounted sensor network of driver's fitness real-time assessment sensor network, vehicular behavior and fitness in before the driver drives vehicle and the driving way are carried out real-time dynamic evaluation, improve the dynamics of safe driving monitoring, reduce the generation of traffic hazard, ensure the safe and smooth of road.The data that evaluating system provides can be used as driver's driving efficiency and the reference deliberated index of driving professional ethics.Simultaneously, data can also be handled the reference that department is assert traffic accident responsibility for traffic hazard.

Claims (4)

1, a kind of driver status estimation system based on vehicle mounted sensor network comprises:
One vehicle running state assessment sensor network;
One vehicle driving state assessment sensor network;
One driver's fitness real-time assessment sensor network;
Evaluating system writes down and dynamic evaluation vehicle running state according to vehicle running state assessment sensor network, guarantees the safe condition of vehicle self; Vehicle driving state assessment sensor network writes down and dynamic evaluation Real Time Observation driver's the level of controlling and professional skill, guarantee driving safety to driver's trailer reversing behavior; According to of the assessment of driver's fitness real-time assessment sensor network to driver's condition, guarantee driver's steering vehicle in the time period that the driving behavior ability is arranged, reduce the probability that fatigue driving takes place, ensure the safe operation of safety of person vehicle, road safety and traffic system.
2, the driver status estimation system based on vehicle mounted sensor network according to claim 1, the safety traffic key elements such as speed, acceleration, gear, steering wheel position, oil mass, water temperature, electric weight, voltage, electric current, air bag state, tire pressure, bearing temperature that it is characterized in that the real-time monitoring vehicle of described vehicle running state assessment sensor network are in time reacted the running status and the health status of vehicle to the driver.
3, driver status estimation system based on vehicle mounted sensor network according to claim 1, it is characterized in that the driving behavior that the described real-time monitoring driving person of vehicle driving state sensor network makes vehicle, comprise startup, gearshift, brake, stop, open the door, close the door, turn to and driving behavior such as switching signal lamp, output data according to the vehicle driving state sensor node, can judge tentatively whether vehicle parking offense occurs, illegal traffic, illegal drivings etc. are violating the regulations, illegal activities, and can judge whether the driving behavior that the driver makes when meeting urgent driving situation is proper, the vaild evidence of accident treatment is provided to traffic hazard processing department.
4, the driver status estimation system based on vehicle mounted sensor network according to claim 1, the condition that it is characterized in that the described real-time monitoring driving person of driver's fitness real-time assessment sensor network comprises the main body index that influences such as eyesight state, sense of hearing state, physical fitness index, reaction promptness, sleep need, psychological condition, notice concentration degree are driven.Driver's fitness real-time assessment sensor network judges that according to above data whether the present condition of driver has the ability to continue steering vehicle, in time reminds the driver to replace or rest on the spot.The data of driver's fitness real-time assessment sensor network record can also be handled the reference of department's accident treatment as traffic hazard.
CNA2008100599633A 2008-03-05 2008-03-05 Driver status estimation system based on vehicle mounted sensor network Pending CN101236695A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNA2008100599633A CN101236695A (en) 2008-03-05 2008-03-05 Driver status estimation system based on vehicle mounted sensor network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNA2008100599633A CN101236695A (en) 2008-03-05 2008-03-05 Driver status estimation system based on vehicle mounted sensor network

Publications (1)

Publication Number Publication Date
CN101236695A true CN101236695A (en) 2008-08-06

Family

ID=39920283

Family Applications (1)

Application Number Title Priority Date Filing Date
CNA2008100599633A Pending CN101236695A (en) 2008-03-05 2008-03-05 Driver status estimation system based on vehicle mounted sensor network

Country Status (1)

Country Link
CN (1) CN101236695A (en)

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102384748A (en) * 2010-08-02 2012-03-21 株式会社电装 Driving characteristics detector and route search device
CN102426776A (en) * 2011-09-15 2012-04-25 北京星河易达科技有限公司 Network monitoring system and method for designated driving of automotive vehicle
CN102576497A (en) * 2009-08-27 2012-07-11 株式会社月神 Driving evaluation method
CN102762149A (en) * 2009-12-16 2012-10-31 大众汽车有限公司 Device and method for determining a vigilance state
CN102982589A (en) * 2012-11-26 2013-03-20 奇瑞汽车股份有限公司 Vehicle information recorder based on overall vehicle network and recording method thereof
CN103093647A (en) * 2011-11-08 2013-05-08 奥迪股份公司 Method for operating a vehicle system of a motor vehicle and motor vehicle
CN103150677A (en) * 2013-02-27 2013-06-12 清华大学 Aggressive driving state identification method and system
CN103246799A (en) * 2011-02-09 2013-08-14 信息移动It股份公司 Method for characterizing the driving style of vehicle drivers
CN103359121A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 Green driving assistance cloud system and green driving assistance cloud method
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
CN103453914A (en) * 2012-05-28 2013-12-18 哈尔滨工业大学深圳研究生院 Cloud navigation system and method for intelligent updating of map
CN103796892A (en) * 2011-07-05 2014-05-14 沙特***石油公司 Systems, computer medium and computer-implemented methods for monitoring health and ergonomic status of drivers of vehicles
CN104000614A (en) * 2014-06-09 2014-08-27 南通大学 System and method for evaluating comprehensive quality of long-distance passenger transportation driver
CN104318714A (en) * 2014-11-12 2015-01-28 沈阳美行科技有限公司 Fatigue driving pre-warning method
CN104943698A (en) * 2014-03-25 2015-09-30 福特环球技术公司 Driver assistance system
CN104978492A (en) * 2015-07-09 2015-10-14 彩虹无线(北京)新技术有限公司 Safety driving evaluation method based on telematics data flow
CN105011952A (en) * 2015-08-07 2015-11-04 北京环度智慧智能技术研究所有限公司 Driver limiting speed evaluation system and method
CN106126960A (en) * 2016-07-25 2016-11-16 东软集团股份有限公司 Driving safety appraisal procedure and device
CN106344050A (en) * 2016-08-30 2017-01-25 西南交通大学 Testing method and system for stress tolerance of driver
CN107170261A (en) * 2017-06-09 2017-09-15 中国重汽集团济南动力有限公司 The optimization method and system of a kind of vehicle shift reminder parameters
CN107221196A (en) * 2017-05-26 2017-09-29 广东中星电子有限公司 Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing
CN107644532A (en) * 2017-09-20 2018-01-30 中山大学 A kind of traffic violation menace level Forecasting Methodology based on Bayesian network
CN108860157A (en) * 2018-07-16 2018-11-23 深圳市元征科技股份有限公司 A kind of methods of risk assessment violating the regulations, system, equipment and storage medium
CN111016926A (en) * 2014-12-12 2020-04-17 索尼公司 Automatic driving control apparatus, automatic driving control method, and program
CN111243233A (en) * 2018-11-28 2020-06-05 现代自动车株式会社 Apparatus, system and method for managing fatigue driving
JP2020115364A (en) * 2018-07-12 2020-07-30 株式会社オファサポート Driving skill evaluation system, driving aptitude diagnosis system and driving aptitude diagnosis system method
CN112348095A (en) * 2020-11-10 2021-02-09 易显智能科技有限责任公司 Method and related device for evaluating safe driving consciousness of driver
CN112967497A (en) * 2021-02-01 2021-06-15 吉林大学 Shared automobile supervision system and supervision method
CN113243919A (en) * 2021-04-01 2021-08-13 上海工程技术大学 Train driver fatigue state identification and monitoring system

Cited By (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102576497A (en) * 2009-08-27 2012-07-11 株式会社月神 Driving evaluation method
CN102762149B (en) * 2009-12-16 2015-04-29 大众汽车有限公司 Device and method for determining a vigilance state
CN102762149A (en) * 2009-12-16 2012-10-31 大众汽车有限公司 Device and method for determining a vigilance state
CN102384748A (en) * 2010-08-02 2012-03-21 株式会社电装 Driving characteristics detector and route search device
CN102384748B (en) * 2010-08-02 2015-07-01 株式会社电装 Driving characteristics detector and route search device
CN103246799A (en) * 2011-02-09 2013-08-14 信息移动It股份公司 Method for characterizing the driving style of vehicle drivers
CN103246799B (en) * 2011-02-09 2017-12-29 信息移动It股份公司 The method for characterizing the driving style of vehicle driver
CN103796892A (en) * 2011-07-05 2014-05-14 沙特***石油公司 Systems, computer medium and computer-implemented methods for monitoring health and ergonomic status of drivers of vehicles
CN103796892B (en) * 2011-07-05 2016-08-24 沙特***石油公司 For monitoring health status and the system of human engineering state, computer media and the computer implemented method of vehicle drivers
CN102426776B (en) * 2011-09-15 2015-07-29 北京星河易达科技有限公司 In motor vehicle generation, drives method for monitoring network
CN102426776A (en) * 2011-09-15 2012-04-25 北京星河易达科技有限公司 Network monitoring system and method for designated driving of automotive vehicle
US10011175B2 (en) 2011-11-08 2018-07-03 Audi Ag Method for operating a vehicle system of a motor vehicle and motor vehicle
CN103093647A (en) * 2011-11-08 2013-05-08 奥迪股份公司 Method for operating a vehicle system of a motor vehicle and motor vehicle
CN103093647B (en) * 2011-11-08 2015-08-19 奥迪股份公司 For running method and the self-propelled vehicle of the Vehicular system of self-propelled vehicle
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
CN103359121A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 Green driving assistance cloud system and green driving assistance cloud method
CN103359022B (en) * 2012-03-27 2016-08-10 哈尔滨工业大学深圳研究生院 A kind of cloud service system based on OBD
CN103359121B (en) * 2012-03-27 2016-01-20 哈尔滨工业大学深圳研究生院 The green drive assist system of a kind of cloud and method
CN103453914B (en) * 2012-05-28 2016-01-20 哈尔滨工业大学深圳研究生院 The cloud navigational system of intelligent updating map and method
CN103453914A (en) * 2012-05-28 2013-12-18 哈尔滨工业大学深圳研究生院 Cloud navigation system and method for intelligent updating of map
CN102982589A (en) * 2012-11-26 2013-03-20 奇瑞汽车股份有限公司 Vehicle information recorder based on overall vehicle network and recording method thereof
CN103150677A (en) * 2013-02-27 2013-06-12 清华大学 Aggressive driving state identification method and system
CN104943698A (en) * 2014-03-25 2015-09-30 福特环球技术公司 Driver assistance system
CN104000614A (en) * 2014-06-09 2014-08-27 南通大学 System and method for evaluating comprehensive quality of long-distance passenger transportation driver
CN104318714A (en) * 2014-11-12 2015-01-28 沈阳美行科技有限公司 Fatigue driving pre-warning method
US11718329B2 (en) 2014-12-12 2023-08-08 Sony Group Corporation Automatic driving control device and automatic driving control method, and program
CN111016926A (en) * 2014-12-12 2020-04-17 索尼公司 Automatic driving control apparatus, automatic driving control method, and program
CN104978492A (en) * 2015-07-09 2015-10-14 彩虹无线(北京)新技术有限公司 Safety driving evaluation method based on telematics data flow
CN105011952A (en) * 2015-08-07 2015-11-04 北京环度智慧智能技术研究所有限公司 Driver limiting speed evaluation system and method
CN105011952B (en) * 2015-08-07 2018-03-16 北京环度智慧智能技术研究所有限公司 The very fast evaluation system of driver and method
CN106126960A (en) * 2016-07-25 2016-11-16 东软集团股份有限公司 Driving safety appraisal procedure and device
CN106344050A (en) * 2016-08-30 2017-01-25 西南交通大学 Testing method and system for stress tolerance of driver
CN107221196A (en) * 2017-05-26 2017-09-29 广东中星电子有限公司 Vehicle drive methods of risk assessment, device, system and readable storage medium storing program for executing
CN107170261A (en) * 2017-06-09 2017-09-15 中国重汽集团济南动力有限公司 The optimization method and system of a kind of vehicle shift reminder parameters
CN107644532A (en) * 2017-09-20 2018-01-30 中山大学 A kind of traffic violation menace level Forecasting Methodology based on Bayesian network
JP2020115364A (en) * 2018-07-12 2020-07-30 株式会社オファサポート Driving skill evaluation system, driving aptitude diagnosis system and driving aptitude diagnosis system method
JP7389477B2 (en) 2018-07-12 2023-11-30 株式会社オファサポート Driving skill evaluation system, driving aptitude diagnosis system and driving aptitude diagnosis system method
CN108860157A (en) * 2018-07-16 2018-11-23 深圳市元征科技股份有限公司 A kind of methods of risk assessment violating the regulations, system, equipment and storage medium
CN111243233A (en) * 2018-11-28 2020-06-05 现代自动车株式会社 Apparatus, system and method for managing fatigue driving
CN112348095A (en) * 2020-11-10 2021-02-09 易显智能科技有限责任公司 Method and related device for evaluating safe driving consciousness of driver
CN112967497A (en) * 2021-02-01 2021-06-15 吉林大学 Shared automobile supervision system and supervision method
CN113243919A (en) * 2021-04-01 2021-08-13 上海工程技术大学 Train driver fatigue state identification and monitoring system

Similar Documents

Publication Publication Date Title
CN101236695A (en) Driver status estimation system based on vehicle mounted sensor network
CN107244290A (en) Automobile driving without hands monitor, take over system and method
CN203020082U (en) Vehicle-mounted alcohol monitoring device
CN201749540U (en) Detecting and normalizing device for fatigue driving
CN111231969B (en) Automobile driving state detection method
CN101568948B (en) Method for producing a localized warning of dangerous situations for vehicles
WO2016074608A2 (en) Methods and systems for vehicle operation monitoring and control, video monitoring, data processing, and overload monitoring and control
CN102101438B (en) Method and device for judging fatigue driving
CN202619669U (en) Driver emotion monitoring device
CN103692969A (en) Monitoring method for long time driving
CN104071009B (en) A kind of onboard instruments shows non ageing processing method and onboard instruments system
CN106530829A (en) Driver state broadcasting method and device
CN107490485A (en) Vehicle health degree detection method, device and vehicle
CN202669799U (en) Control device for preventing misoperation in emergency brake of vehicle
CN103692970A (en) Long time driving monitoring device
CN202448979U (en) Safe-running intelligent warning system for automobile
CN103358992A (en) Fatigue driving warning system and fatigue driving warning method
CN204264138U (en) A kind of panorama type drunk driving detecting device be arranged on automobile
WO2023236437A1 (en) Driver fatigue state monitoring system based on seat pressure-bearing analysis
CN102854866A (en) Virtual instrument panel of car
CN205524232U (en) Novel self -driving car control system that traveles on abrupt slope
CN207416817U (en) Driver's defense driving efficiency judgement system and vehicle
CN203032559U (en) Safe driving monitoring system with navigation device
CN209706847U (en) A kind of running condition information data collection system of haulage vehicle
CN202319927U (en) Drunk driving prevention control device for automobile

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
ASS Succession or assignment of patent right

Owner name: CAS JIAXING WIRELESS SENSOR NETWORK ENGINEERING CE

Free format text: FORMER OWNER: CAS JIAXING CENTER MICROSYSTEMS INTITUTE BRANCH CENTER

Effective date: 20100129

C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20100129

Address after: 2, building 1, No. 778 Asia Pacific Road, Nanhu District, Zhejiang, Jiaxing Province, China: 314000

Applicant after: Jiaxing Wireless Sensor Network Engineering Center, Chinese Academy of Sciences

Address before: A, building four, block JRC, Asia Pacific Road, Nanhu District, Zhejiang City, Jiaxing Province, China: 314000

Applicant before: Microsystem Inst. Branch Center, Jiaxing Center, CAS

C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Open date: 20080806