CN108725448B - Active vehicle control method and system based on driver state monitoring - Google Patents
Active vehicle control method and system based on driver state monitoring Download PDFInfo
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- CN108725448B CN108725448B CN201810276262.9A CN201810276262A CN108725448B CN 108725448 B CN108725448 B CN 108725448B CN 201810276262 A CN201810276262 A CN 201810276262A CN 108725448 B CN108725448 B CN 108725448B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0872—Driver physiology
Abstract
An active vehicle control method and system based on driver state monitoring are disclosed, wherein the vehicle control method comprises the following steps: step 1, obtaining facial features of a driver; step 2, verifying driver identity information; step 3, acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time; step 4, analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver to confirm the state of the driver; and 5, actively controlling the vehicle to run when the state of the driver is abnormal. The active vehicle control system comprises a driver facial feature acquisition module, a driver identity information verification module, a real-time information acquisition module, an analysis and confirmation state module and an auxiliary driver control module. The method for acquiring the private health state data through the identity information verification for analysis improves the accuracy and reliability of judging the abnormal state of the driver.
Description
Technical Field
The invention relates to an active vehicle control system, in particular to an active vehicle control method and system based on driver state monitoring, and belongs to the technical field of vehicle control.
Background
When a driver drives a motor vehicle, driving safety is reduced due to fatigue, drowsiness, sudden illness, and the like, and traffic accidents are easily caused.
The driver state monitoring system can solve the problem that a driver needs to manually control the vehicle in an emergency, and is an effective mode for improving driving safety and reducing casualty accidents. At present, an existing driver state monitoring system mainly analyzes driver action information and sign data by acquiring environmental information and road condition information in a vehicle to determine the state of a driver; and when the state of the driver is abnormal, starting the auxiliary driving system. However, due to the fact that individual differences and personal health data standards are different, analysis of the driver sign data is lack of comparison, the analysis accuracy is low only based on the in-vehicle environment information and road condition information, and the judgment result is not referential; when the driver is in an abnormal state of sudden diseases, the vehicle is controlled only by starting the auxiliary driving function, the rescue information cannot be sent to the rescue mechanism, and the driver misses the optimal treatment opportunity.
Disclosure of Invention
The invention aims to provide an active vehicle control method and system based on driver state monitoring, aiming at the problems of low accuracy and reliability of judgment results and the like of the existing driver state monitoring system.
In order to achieve the purpose, the technical solution of the invention is as follows: an active vehicle control method based on driver state monitoring comprises the following steps: step 1, obtaining facial features of a driver: after a driver starts a vehicle, the vehicle enters a driving state, and facial features of the driver are obtained; step 2, driver identity information verification: the facial features of the driver and the current vehicle information are checked with data information in a cloud platform of a vehicle management center, so that cloud identification is realized; step 3, acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time; step 4, analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver to confirm the state of the driver; and 5, actively controlling the vehicle to run when the state of the driver is abnormal.
The step 5 includes the following steps: step 51, dividing the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver; step 52, when the abnormal state of the driver is classified into an abnormal grade, alarming to remind the driver; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into three levels of abnormal grade, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and sign data of the driver are sent to nearby medical institutions, and the vehicle is actively controlled to run to the medical institutions.
An active vehicle control system based on driver state monitoring comprises a driver facial feature acquisition module, a driver identity information verification module, a real-time information acquisition module, an analysis and confirmation state module and an auxiliary driver control module, wherein the driver facial feature acquisition module is used for acquiring the facial features of a driver; the driver identity information verification module is used for checking the facial features and the current vehicle information of a driver with the data information in the cloud platform of the vehicle management center and realizing cloud identification; the real-time information acquisition module is used for acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time; the analysis and confirmation state module is used for analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver so as to confirm the state of the driver; the auxiliary driver control module is used for actively controlling the vehicle to run when the state of the driver is abnormal.
The auxiliary driver control module comprises an abnormal state grading module and a control module, wherein the abnormal state grading module is used for grading the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver; the control module is used for alarming and reminding the driver when the abnormal state of the driver is classified into one grade of abnormal grade; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into three levels of abnormal grade, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and sign data of the driver are sent to nearby medical institutions, and the vehicle is actively controlled to run to the medical institutions.
Compared with the prior art, the invention has the beneficial effects that:
1. the method analyzes the behavior information and the physical sign information of the driver according to the environment information in the vehicle, the road traffic information and the health state information of the driver, obtains the private health state data through the identity information verification and analyzes the private health state data, and improves the accuracy and the reliability of judging the abnormal state of the driver.
2. According to the invention, the abnormal state of the driver is graded, and different control responses are adopted according to different grades; when the driver is in the abnormal level three levels, namely the highest abnormal level, and is in a state similar to sudden diseases, the automatic control function is started, the vehicle is controlled to run to a nearby medical institution, and the driver identity information and the health state information are sent to the medical institution so as to receive the vehicle and diagnose and treat the vehicle in time. The control system actively controls the vehicle in emergency and prevents traffic accidents.
Drawings
FIG. 1 is a flow chart of an active vehicle control method according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the following description of the drawings and the detailed description.
The first embodiment is as follows:
referring to fig. 1, an active vehicle control method based on driver status monitoring includes a control system for actively controlling a vehicle to prevent traffic accidents in emergency by monitoring the driver status; the method specifically comprises the following steps:
step 1, obtaining facial features of a driver: after the driver starts the vehicle, the vehicle enters a driving state, and the facial features of the driver are obtained.
Step 2, driver identity information verification: and checking the facial features of the driver and the current vehicle information with the data information in the cloud platform of the vehicle management center to realize cloud identification.
And 3, acquiring behavior information of the driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time.
And 4, analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver to confirm the state of the driver. The driver state may be a call state, a fatigue driving state, a sudden illness state, a normal state, etc.
And 5, actively controlling the vehicle to run when the state of the driver is abnormal.
The driver state can be judged to be abnormal when the driver state is a calling state, a fatigue driving state, a sudden disease state and the like; and after the abnormal state of the driver is judged, the vehicle is actively controlled to assist the driver in controlling the vehicle to run.
Further, the step 5 specifically includes the following steps:
and step 51, dividing the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver.
Step 52, when the abnormal state of the driver is classified into an abnormal grade, namely the danger grade is lower, alarming to remind the driver; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into an abnormal grade and a third grade, namely the danger grade is high, the driver usually has sudden diseases threatening life safety, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and the physical sign data of the driver are sent to a nearby medical institution, and the vehicle is actively controlled to run to the medical institution.
The second embodiment is as follows:
an active vehicle control system based on driver state monitoring comprises a driver facial feature acquisition module, a driver identity information verification module, a real-time information acquisition module, an analysis and confirmation state module and an auxiliary driver control module.
The driver facial feature acquisition module is used for acquiring the facial features of the driver;
the driver identity information verification module is used for checking the facial features and the current vehicle information of the driver with the data information in the cloud platform of the vehicle management center and realizing cloud identification.
The real-time information acquisition module is used for acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time. Specifically, the behavior information includes call receiving and making, hand movement, face movement and the like; the physical sign information of the driver comprises heart rate, blood pressure, skin temperature, alcohol content and the like; the in-vehicle environment information comprises in-vehicle temperature, in-vehicle lamp opening conditions and the like; the road traffic information includes surrounding vehicles, pedestrians, road conditions, and the like; the health status information of the driver includes physical health status data of the driver and an abnormality criterion.
The analysis and confirmation state module is used for analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver so as to confirm the state of the driver.
The auxiliary driver control module is used for actively controlling the vehicle to run when the state of the driver is abnormal.
Furthermore, the control module for assisting the driver comprises an abnormal state grading module and a control module, wherein the abnormal state grading module is used for grading the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver. The control module is used for alarming and reminding the driver when the abnormal state of the driver is classified into one grade of abnormal grade; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into three levels of abnormal grade, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and sign data of the driver are sent to nearby medical institutions, and the vehicle is actively controlled to run to the medical institutions.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention relates, several simple deductions or substitutions may be made without departing from the spirit of the invention, and the above-mentioned structures should be considered as belonging to the protection scope of the invention.
Claims (2)
1. An active vehicle control method based on driver state monitoring is characterized by comprising the following steps:
step 1, obtaining facial features of a driver: after a driver starts a vehicle, the vehicle enters a driving state, and facial features of the driver are obtained;
step 2, driver identity information verification: the facial features of the driver and the current vehicle information are checked with data information in a cloud platform of a vehicle management center, so that cloud identification is realized;
step 3, acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time;
step 4, analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver to confirm the state of the driver;
and 5, when the state of the driver is abnormal, actively controlling the vehicle to run, and specifically comprising the following steps:
step 51, dividing the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver;
step 52, when the abnormal state of the driver is classified into an abnormal grade, alarming to remind the driver; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into three levels of abnormal grade, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and sign data of the driver are sent to nearby medical institutions, and the vehicle is actively controlled to run to the medical institutions.
2. The utility model provides an initiative accuse car system based on driver state control which characterized in that: comprises a driver facial feature acquisition module, a driver identity information verification module, a real-time information acquisition module, an analysis and confirmation state module and an auxiliary driver control module,
the driver facial feature acquisition module is used for acquiring the facial features of the driver;
the driver identity information verification module is used for checking the facial features and the current vehicle information of a driver with the data information in the cloud platform of the vehicle management center and realizing cloud identification;
the real-time information acquisition module is used for acquiring behavior information of a driver, sign information of the driver, in-vehicle environment information, road traffic information and health state information of the driver in real time;
the analysis and confirmation state module is used for analyzing the behavior information and the sign data of the driver based on the environment information in the vehicle, the road traffic condition and the health state information of the driver so as to confirm the state of the driver;
the auxiliary driver control module is used for actively controlling the vehicle to run when the state of the driver is abnormal, and comprises an abnormal state grading module and a control module, wherein the abnormal state grading module is used for dividing the abnormal state of the driver into an abnormal grade first grade, an abnormal grade second grade and an abnormal grade third grade according to the abnormal severity of the state of the driver; the control module is used for alarming and reminding the driver when the abnormal state of the driver is classified into one grade of abnormal grade; when the abnormal state of the driver is classified into an abnormal grade two grade, the current state of the driver is broadcasted to surrounding vehicles, and the vehicle is actively controlled to run to the road side to stop on the basis of the road traffic information; when the abnormal state of the driver is classified into three levels of abnormal grade, vehicles around the vehicle are controlled to broadcast emergency avoidance information, rescue information and sign data of the driver are sent to nearby medical institutions, and the vehicle is actively controlled to run to the medical institutions.
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| JP7234614B2 (en) | 2018-12-10 | 2023-03-08 | トヨタ自動車株式会社 | Anomaly detection device, anomaly detection system and anomaly detection program |
| CN109919407A (en) * | 2018-12-28 | 2019-06-21 | 地上铁租车（深圳）有限公司 | A kind of driving behavior active security management system |
| CN109823346B (en) * | 2019-01-23 | 2020-10-30 | 广州德晟人工智能科技有限公司 | Active safety early warning system and method based on big data |
| CN109823337A (en) * | 2019-02-28 | 2019-05-31 | 重庆交通大学 | The autonomous avoiding system of vehicle and method under a kind of operating passenger car driver abnormal conditions |
| CN110239555A (en) * | 2019-05-08 | 2019-09-17 | 浙江吉利控股集团有限公司 | A kind of device and method of auxiliary vehicle safety operation |
| CN112150793A (en) * | 2019-06-27 | 2020-12-29 | 上海申龙客车有限公司 | Intelligent control method for rapid and safe passing of urban buses |
| CN110576861A (en) * | 2019-08-11 | 2019-12-17 | 西藏宁算科技集团有限公司 | Vehicle control method and system based on visual recognition combined with tactile recognition |
| CN110525444B (en) * | 2019-08-20 | 2022-05-10 | 浙江吉利汽车研究院有限公司 | Method and device for processing abnormal body condition of driver |
| CN111038499B (en) * | 2019-12-25 | 2021-05-28 | 中国汽车技术研究中心有限公司 | Blind area monitoring system and method capable of automatically controlling vehicle according to state of driver |
| CN111559370B (en) * | 2020-05-12 | 2021-07-09 | 大众汽车(安徽)有限公司 | Control method of intelligent health cabin |
| CN112455453A (en) * | 2020-12-08 | 2021-03-09 | 安徽江淮汽车集团股份有限公司 | Driver state detection method, driver state detection device and computer-readable storage medium |
| CN113352989B (en) * | 2021-06-30 | 2023-12-22 | 深圳市路卓科技有限公司 | Intelligent driving safety auxiliary method, product, equipment and medium |
| CN113460057A (en) * | 2021-07-28 | 2021-10-01 | 中汽创智科技有限公司 | Method and device for monitoring health of people in vehicle and terminal |
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| CN104966382B (en) * | 2015-05-21 | 2018-03-09 | 浙江吉利汽车研究院有限公司 | Physiological driver's condition monitoring and reply system and method |
| KR101806703B1 (en) * | 2016-06-01 | 2018-01-10 | 현대자동차주식회사 | Driver state monitoring apparatus |
| CN106530829A (en) * | 2016-12-07 | 2017-03-22 | 深圳市元征科技股份有限公司 | Driver state broadcasting method and device |
| CN106585624B (en) * | 2016-12-07 | 2019-07-26 | 深圳市元征科技股份有限公司 | Driver status monitoring method and device |
| CN107697069B (en) * | 2017-10-31 | 2020-07-28 | 上海汽车集团股份有限公司 | Intelligent control method for fatigue driving of automobile driver |
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