CN117601877A - Advanced auxiliary driving system and method for automobile - Google Patents
Advanced auxiliary driving system and method for automobile Download PDFInfo
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- CN117601877A CN117601877A CN202311746453.4A CN202311746453A CN117601877A CN 117601877 A CN117601877 A CN 117601877A CN 202311746453 A CN202311746453 A CN 202311746453A CN 117601877 A CN117601877 A CN 117601877A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 40
- 238000001514 detection method Methods 0.000 claims abstract description 28
- 230000001815 facial effect Effects 0.000 claims abstract description 20
- 230000008451 emotion Effects 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 claims abstract description 6
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 claims abstract description 6
- 238000000848 angular dependent Auger electron spectroscopy Methods 0.000 claims abstract description 6
- 230000009471 action Effects 0.000 claims description 11
- 206010041349 Somnolence Diseases 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 6
- ZRHANBBTXQZFSP-UHFFFAOYSA-M potassium;4-amino-3,5,6-trichloropyridine-2-carboxylate Chemical compound [K+].NC1=C(Cl)C(Cl)=NC(C([O-])=O)=C1Cl ZRHANBBTXQZFSP-UHFFFAOYSA-M 0.000 claims description 6
- 230000000052 comparative effect Effects 0.000 claims 1
- 206010039203 Road traffic accident Diseases 0.000 description 5
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Classifications
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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
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
-
- 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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- Engineering & Computer Science (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
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- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to an automobile advanced auxiliary driving system, which comprises a control module, a face detection module and a face recognition module, wherein the face detection module comprises a vehicle recognition camera, an evaluation module and the face recognition module; the face detection module consists of a head characteristic monitoring module, an eye characteristic monitoring module and a mouth characteristic monitoring module, and the output end of the face detection module is in signal connection with the input end of the cloud database. According to the advanced auxiliary driving system and method for the automobile, the ADAS system is used for reducing the speed of the automobile, prompting the driver to rest through voice, playing music liked by a user and the like, intervening and relieving the emotion of a person in a cabin, and preventing the driver from overfatigue driving; when the driver who inputs the facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module can control the accelerator and the brake of the vehicle through the vehicle engine control module and the vehicle brake control module in the vehicle control module if the fact that the driver is not matched in recognition is detected.
Description
Technical Field
The invention relates to the technical field of traffic, in particular to an advanced auxiliary driving system and method for an automobile.
Background
The advanced auxiliary driving is a generic term of a technology for sensing surrounding environment at any time in the running process of an automobile by using various sensors (millimeter wave radar, laser radar, single/double camera and satellite navigation) installed on the automobile, collecting data, identifying, detecting and tracking static and dynamic objects, and carrying out systematic operation and analysis by combining with navigator map data, thereby enabling a driver to perceive possible danger in advance and effectively increasing the comfort and safety of the automobile driving.
With the increasing number of motor vehicles and drivers in recent years, the traffic accident rate has increased year by year, in 2021, the traffic accident causes are counted in China, and 37% of road traffic accidents are directly related to the states of the drivers, wherein fatigue driving, distraction driving and dangerous driving are three major factors, the wide application of mobile phones and more entertainment systems in vehicle cabins are also direct causes for distraction driving of the drivers, after 2010, more than 3000 drivers lose lives due to distraction driving in the united states each year, and data released by the national security committee in the united states show that more than 1/4 of the causes of the traffic accidents are the drivers to operate the mobile phones during driving.
In all global fatal road traffic accidents, about 20% are caused by fatigue driving of drivers, so that in an auxiliary driving system of a vehicle, a driver state monitoring system is usually carried to monitor the drivers in real time to prevent the drivers from losing control of the vehicles due to distraction or fatigue, which is a mandatory rule, however, when the existing driver state monitoring module detects and identifies the facial features of the drivers, identity confirmation of the drivers other than the drivers is inconvenient, so that the whole auxiliary driving system is perfect and safe in the use process.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an advanced auxiliary driving system and method for an automobile, which have the advantages of improving the use perfection and the safety and the like and solve the problem of imperfect auxiliary content.
In order to achieve the above purpose, the present invention provides the following technical solutions: the high-grade auxiliary driving system of the automobile comprises a control module, a face detection module and a face recognition module, wherein the face detection module comprises a vehicle recognition camera, an evaluation module and the face recognition module;
the face detection module consists of a head characteristic monitoring module, an eye characteristic monitoring module and a mouth characteristic monitoring module, wherein the output end of the face detection module is in signal connection with the input end of the cloud database, and a comparison module is arranged between the face recognition module and the face detection module;
the personnel recognition module consists of a head feature recognition module, an eye feature recognition module and a mouth feature recognition module, wherein the output end of the control module is in signal connection with the input end of the action alarm monitoring module, and the output end of the control module is in signal connection with the input end of the vehicle control module;
the control module further includes a primary input module and a secondary input module.
Further, the head characteristic monitoring module and the head characteristic identifying module are used for monitoring, inputting and identifying head characteristics of a driver, and the eye characteristic monitoring module and the eye characteristic identifying module are used for monitoring, inputting and identifying eye characteristics of the driver.
Further, the mouth characteristic monitoring module and the head characteristic recognition module are used for monitoring, inputting and recognizing the mouth characteristics of a driver, and the output end of the comparison module is respectively connected with the face detection module and the output end of the cloud database in a signal mode.
Further, the main input module consists of a steering wheel angular speed module, a vehicle speed module, a driving time module and a lane departure state module.
Further, the secondary input module consists of a vehicle door opening state module, a safety belt state module, a brake/accelerator opening degree module and an ignition signal module.
Further, the vehicle control module comprises a vehicle engine control module and a vehicle brake control module, and the vehicle engine control module and the vehicle brake control module are mainly used for vehicle control.
Further, the output end of the control module and the HMI alarm module carry out system alarm through the system response to the HMI alarm module.
Further, the assessment module consists of extremely high vigilance, very vigilance, relatively vigilance, somewhat vigilance, neither vigilance nor drowsiness, but may remain vigilant, drowsiness, but may strive to remain vigilant and drowsiness, but may strive to remain vigilant.
An advanced auxiliary driving method for an automobile comprises the following steps:
s1, when a driver drives on a vehicle for the first time, the head characteristics, the eye characteristics and the mouth characteristics of a human face can be input through a vehicle recognition camera and stored through a cloud database;
s2, after all the facial features of a driver capable of driving the vehicle are recorded, in the process of driving the vehicle, the face detection module can actively observe a user pain point through the evaluation module, think about user requirements, such as actively recognizing facial emotion changes and voice analysis of passengers and the driver, judge the current passenger emotion state, then intervene and relieve the emotion of a person in a cabin through an ADAS system in a mode of reducing the speed, prompting the driver to rest through voice, playing music liked by the user and the like, and intervene steering wheel angular speed, lane departure state and brake/accelerator opening control according to the fatigue state of the driver through the main input module and the secondary input module, so that excessive fatigue driving of the driver is prevented;
s3, when a driver who inputs facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module, the cloud database and the face recognition module can conduct recognition and comparison through the comparison module and according to the facial features of the driver, if the fact that the driver is not matched in recognition is detected, the vehicle engine control module and the vehicle brake control module in the vehicle control module can control the accelerator and the brake of the vehicle, the driver cannot drive the vehicle, and the action alarm monitoring module gives an alarm to remind the vehicle owner.
Compared with the prior art, the technical scheme of the application has the following beneficial effects:
according to the automobile advanced auxiliary driving system and method, as the face detection module can actively observe the pain points of the user through the evaluation module, think about the demands of the user, such as actively recognizing facial emotion changes and voice analysis of passengers and drivers, judging the current passenger emotion state, then intervene and relieve the emotion of the people in the cabin through the ADAS system in the modes of reducing the speed, prompting the drivers to rest through voice, playing music liked by the users and the like, and intervene the steering wheel angular speed, the lane departure state and the brake/accelerator opening control according to the fatigue state of the drivers through the main input and secondary input module, so that the excessive fatigue driving of the drivers is prevented; when a driver who inputs facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module, the cloud database and the face recognition module can recognize and compare the facial features of the driver through the comparison module, if mismatching of the driver recognition is detected, the vehicle engine control module and the vehicle brake control module in the vehicle control module can be used for controlling the vehicle accelerator and the vehicle brake, so that the driver cannot drive the vehicle, and the action alarm monitoring module can send out an alarm to remind the driver, so that the safety and the comfort of the whole auxiliary driving system for assisting the driver in driving are improved.
Drawings
FIG. 1 is a schematic diagram of an overall system framework of the present invention;
FIG. 2 is a schematic diagram of a system frame of primary and secondary input modules of the present invention;
FIG. 3 is a schematic diagram of a face recognition module system according to the present invention;
FIG. 4 is a schematic diagram of a vehicle control module system frame according to the present invention;
FIG. 5 is a schematic diagram of a system framework of the evaluation module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-or 3-5, an advanced driving assistance system for an automobile in this embodiment includes a control module, a face detection module and a face recognition module, where the face detection module includes a vehicle recognition camera, an evaluation module and a face recognition module;
the face detection module consists of a head characteristic monitoring module, an eye characteristic monitoring module and a mouth characteristic monitoring module, the output end of the face detection module is in signal connection with the input end of the cloud database, and a comparison module is arranged between the face recognition module and the face detection module;
the personnel recognition module consists of a head feature recognition module, an eye feature recognition module and a mouth feature recognition module, wherein the output end of the control module is in signal connection with the input end of the action alarm monitoring module, and the output end of the control module is in signal connection with the input end of the vehicle control module;
the control module further includes a primary input module and a secondary input module.
In this embodiment, the face detection module may actively observe the pain point of the user through the evaluation module, consider the user requirement, such as actively recognize facial emotion changes and voice analysis of the passenger and the driver, determine the current passenger emotion state, then intervene and alleviate the emotion of the person in the cabin through the ADAS system in such ways as reducing the vehicle speed, prompting the driver to rest, playing the music liked by the user, and intervene the steering wheel angular speed, lane departure state and brake/accelerator opening control according to the fatigue state of the driver through the primary input and secondary input module, so as to prevent the driver from over-fatigue driving; when a driver who inputs facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module, the cloud database and the face recognition module can conduct recognition and comparison through the comparison module and according to the facial features of the driver, if mismatching of the driver recognition is detected, the vehicle engine control module and the vehicle brake control module in the vehicle control module can control the vehicle accelerator and the vehicle brake, and therefore the driver cannot drive the vehicle.
The head characteristic monitoring module and the head characteristic identifying module are used for monitoring, inputting and identifying head characteristics of a driver, the eye characteristic monitoring module and the eye characteristic identifying module are used for monitoring, inputting and identifying eye characteristics of the driver, and after the head characteristic and the eye characteristics of the face are monitored, the head characteristic and the eye characteristics of the face are input, the head characteristic and the eye characteristics of the face are stored in the cloud database for storage.
In addition, the mouth feature monitoring module and the head feature recognition module are used for monitoring, inputting and recognizing the mouth features of a driver, the output end of the comparison module is respectively in signal connection with the output ends of the face detection module and the cloud database, and the input data are conveniently compared and recognized by the face recognition module through the cloud database.
And the vehicle control module comprises a vehicle engine control module and a vehicle brake control module, and the vehicle engine control module and the vehicle brake control module are mainly used for controlling the vehicle, so that after the vehicle engine control module and the vehicle brake control module respond, the engine and the brake of the automobile can be controlled.
Then, the output end of the control module and the HMI alarm module respond to the HMI alarm module through the system to carry out system alarm, and the control module can send an alarm to a driver through the HMI alarm module.
Finally, the evaluation module is composed of extremely high vigilance, extremely vigilance, relatively vigilance, somewhat vigilance, neither vigilance nor drowsiness and drowsiness, but can keep vigilance and drowsiness, but can strive to keep vigilance and drowsiness, but strives to keep vigilance, and after the face detection module detects the face characteristics, the face characteristics of the driver are identified and evaluated by the evaluation module.
Referring to fig. 1-2, in this embodiment, the main input module is composed of a steering wheel angular velocity module, a vehicle speed module, a driving time module and a lane departure status module, and the secondary input module is composed of a vehicle door opening status module, a safety belt status module, a brake/accelerator opening status module and an ignition signal module.
In this embodiment, if it is detected that the driver is not matched with the vehicle, the vehicle engine control module and the vehicle brake control module in the vehicle control module may control the vehicle accelerator and the brake, so that the driver cannot drive the vehicle, and the action alarm monitoring module may send an alarm to remind the vehicle owner.
An advanced auxiliary driving method for an automobile comprises the following steps:
s1, when a driver drives on a vehicle for the first time, the head characteristics, the eye characteristics and the mouth characteristics of a human face can be input through a vehicle recognition camera and stored through a cloud database;
s2, after all the facial features of a driver capable of driving the vehicle are recorded, in the process of driving the vehicle, the face detection module can actively observe a user pain point through the evaluation module, think about user requirements, such as actively recognizing facial emotion changes and voice analysis of passengers and the driver, judge the current passenger emotion state, then intervene and relieve the emotion of a person in a cabin through an ADAS system in a mode of reducing the speed, prompting the driver to rest through voice, playing music liked by the user and the like, and intervene steering wheel angular speed, lane departure state and brake/accelerator opening control according to the fatigue state of the driver through the main input module and the secondary input module, so that excessive fatigue driving of the driver is prevented;
s3, when a driver who inputs facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module, the cloud database and the face recognition module can conduct recognition and comparison through the comparison module and according to the facial features of the driver, if the fact that the driver is not matched in recognition is detected, the vehicle engine control module and the vehicle brake control module in the vehicle control module can control the accelerator and the brake of the vehicle, the driver cannot drive the vehicle, and the action alarm monitoring module gives an alarm to remind the vehicle owner.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides a car advanced auxiliary driving system, includes control module, face detection module and face identification module, its characterized in that: the face detection module comprises a vehicle recognition camera, an evaluation module and a face recognition module;
the face detection module consists of a head characteristic monitoring module, an eye characteristic monitoring module and a mouth characteristic monitoring module, wherein the output end of the face detection module is in signal connection with the input end of the cloud database, and a comparison module is arranged between the face recognition module and the face detection module;
the personnel recognition module consists of a head feature recognition module, an eye feature recognition module and a mouth feature recognition module, wherein the output end of the control module is in signal connection with the input end of the action alarm monitoring module, and the output end of the control module is in signal connection with the input end of the vehicle control module;
the control module further includes a primary input module and a secondary input module.
2. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the head characteristic monitoring module and the head characteristic identifying module are used for monitoring, inputting and identifying head characteristics of a driver, and the eye characteristic monitoring module and the eye characteristic identifying module are used for monitoring, inputting and identifying eye characteristics of the driver.
3. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the mouth feature monitoring module and the head feature recognition module are used for monitoring, inputting and recognizing the mouth features of a driver, and the output end of the comparison module is respectively connected with the face detection module and the output end of the cloud database in a signal mode.
4. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the main input module consists of a steering wheel angular speed module, a vehicle speed module, a driving time module and a lane departure state module.
5. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the secondary input module consists of a vehicle door opening state module, a safety belt state module, a brake/accelerator opening degree module and an ignition signal module.
6. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the vehicle control module comprises a vehicle engine control module and a vehicle brake control module, and the vehicle engine control module and the vehicle brake control module are mainly used for vehicle control.
7. An advanced auxiliary driving system for an automobile according to claim 1, wherein: and the output end of the control module and the HMI alarm module carry out system alarm by responding to the HMI alarm module through the system.
8. An advanced auxiliary driving system for an automobile according to claim 1, wherein: the assessment module consists of extremely high vigilance, very vigilance, comparative vigilance, somewhat vigilance, neither vigilance nor drowsiness, but can remain vigilant, drowsiness, but can strive to remain vigilant and drowsiness, but need to strive to remain vigilant.
9. An advanced auxiliary driving method for an automobile is characterized by comprising the following steps:
s1, when a driver drives on a vehicle for the first time, the head characteristics, the eye characteristics and the mouth characteristics of a human face can be input through a vehicle recognition camera and stored through a cloud database;
s2, after all the facial features of a driver capable of driving the vehicle are recorded, in the process of driving the vehicle, the face detection module can actively observe a user pain point through the evaluation module, think about user requirements, such as actively recognizing facial emotion changes and voice analysis of passengers and the driver, judge the current passenger emotion state, then intervene and relieve the emotion of a person in a cabin through an ADAS system in a mode of reducing the speed, prompting the driver to rest through voice, playing music liked by the user and the like, and intervene steering wheel angular speed, lane departure state and brake/accelerator opening control according to the fatigue state of the driver through the main input module and the secondary input module, so that excessive fatigue driving of the driver is prevented;
s3, when a driver who inputs facial features enters the vehicle and wants to drive the vehicle to start, the face recognition module, the cloud database and the face recognition module can conduct recognition and comparison through the comparison module and according to the facial features of the driver, if the fact that the driver is not matched in recognition is detected, the vehicle engine control module and the vehicle brake control module in the vehicle control module can control the accelerator and the brake of the vehicle, the driver cannot drive the vehicle, and the action alarm monitoring module gives an alarm to remind the vehicle owner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311746453.4A CN117601877A (en) | 2023-12-19 | 2023-12-19 | Advanced auxiliary driving system and method for automobile |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311746453.4A CN117601877A (en) | 2023-12-19 | 2023-12-19 | Advanced auxiliary driving system and method for automobile |
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| Publication Number | Publication Date |
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| CN117601877A true CN117601877A (en) | 2024-02-27 |
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| CN202311746453.4A Pending CN117601877A (en) | 2023-12-19 | 2023-12-19 | Advanced auxiliary driving system and method for automobile |
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| Country | Link |
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| CN (1) | CN117601877A (en) |
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- 2023-12-19 CN CN202311746453.4A patent/CN117601877A/en active Pending
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