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CN109263646A - A kind of safety driving system based on artificial intelligence - Google Patents

A kind of safety driving system based on artificial intelligence Download PDF

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Publication number
CN109263646A
CN109263646A CN201810874508.2A CN201810874508A CN109263646A CN 109263646 A CN109263646 A CN 109263646A CN 201810874508 A CN201810874508 A CN 201810874508A CN 109263646 A CN109263646 A CN 109263646A
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China
Prior art keywords
driver
information
module
resistance
vehicle
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Pending
Application number
CN201810874508.2A
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Chinese (zh)
Inventor
董人菘
邵宗凯
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Kunming University of Science and Technology
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Kunming University of Science and Technology
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Publication date
Application filed by Kunming University of Science and Technology filed Critical Kunming University of Science and Technology
Priority to CN201810874508.2A priority Critical patent/CN109263646A/en
Publication of CN109263646A publication Critical patent/CN109263646A/en
Pending legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W40/00Estimation 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
    • B60W40/08Estimation 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W40/00Estimation 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Traffic Control Systems (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The present invention relates to a kind of safety driving systems based on artificial intelligence, belong to artificial intelligence field.The present invention includes information of vehicles detection module, vehicle external environment acquisition module, control module, assisting automobile driver module and driver's operation information acquisition module;The information that an information detecting module, vehicle external environment acquisition module and driver's operation information acquisition module are collected is handled by control unit, it analyzes it and is compared with the use habit of driver usually, then throttle, brake, steering and the sending safe driving information reminding of vehicle are controlled by vehicle drive auxiliary unit, if it is abnormal to detect that vehicle condition occurs simultaneously, it can also issue and remind to driver in time, the advantageous safety for having ensured driver and passenger.

Description

A kind of safety driving system based on artificial intelligence
Technical field
The present invention relates to a kind of safety driving systems based on artificial intelligence, belong to artificial intelligence field.
Background technique
It assists the product category driven various in existing automobile industry, is provided to improve the safety driven, but each The usage mode of product is single or simply combines the function of multiple products and carries out using carrying out to its effect effective Can occur many burst phenomenons simultaneously when being promoted, prompting for driver and helped than relatively limited, and driven a car, such as not Change, fatigue driving and environment inside car exception of good driving habit or driving habit etc., if these phenomenons are located not in time Reason will injure the driving safety of driver and the safety of vehicle periphery pedestrian and vehicle.
Summary of the invention
The present invention provides a kind of safety driving system based on artificial intelligence, when in driver in driving process or vehicle Portion can in time react to it when there are abnormal conditions, can utmostly ensure the peace of driver and passenger's personal safety Full control loop.
Technical solution of the present invention: a kind of safety driving system based on artificial intelligence, including information of vehicles detection module 1, vehicle external environment acquisition module 2, control module 3, assisting automobile driver module 4 and driver's operation information acquisition module 5;
The information of vehicles detection module 1 is used to detect the self performance and environment inside car of vehicle, and self performance includes vehicle Accumulation mileage travelled, brake, travel speed, throttle, tire pressure and vehicle are born a heavy burden information;Environment inside car includes interior empty Makings amount and temperature and humidity;
The vehicle external environment acquisition module 2 is for acquiring the external environment information of vehicle when driving, including road information, vehicle Flow and flow of the people information, wherein road information is the quantity in lane, the position of lane line and belisha beacon state;
Driver's operation information acquisition module 5 is used to collect the operation behavior of driver, including starting, acceleration, brake Vehicle and steering;
The control module 3 is for receiving information of vehicles detection module 1, vehicle external environment acquisition module 2 and driver's operation The information of the collection of information acquisition module 5 is simultaneously analyzed and processed, and carries out relevant operation to driver by assisting automobile driver module 4 Prompt and the prompting of safety traffic information.
The information of vehicles detection module 1 includes dust concentration detection device and temperature-humidity detecting device, respectively to vehicle Internal air quality and temperature and humidity is detected, and the dust concentration detection device includes resistance R1, resistance R2, amplifier Fa1, capacitor C1, wherein one end of resistance R1 is connected on the P1.0 interface of control module 3, and the other end is connected on resistance R2; One end of resistance R2 is connected on the negative input mouth of amplifier Fa1, and the other end is connected to the output port of amplifier Fa1 On;Capacitor C1 is in parallel with resistance R2, and one end of capacitor C1 is connected on the negative input of amplifier Fa1, and the other end is connected to On the output end of amplifier Fa1;The electrode input end of amplifier Fa1 is grounded, and negative input is connected on resistance R1, amplifier Output end be connected on the P1.1 interface of control module 3;
The temperature-humidity detecting device includes Temperature Humidity Sensor chip, resistance R20, capacitor C10;Wherein temperature and humidity sensing The pin 3 of device chip is grounded, and resistance R20 mono- terminates the pin 2 of Temperature Humidity Sensor chip, and the other end connects Temperature Humidity Sensor The pin 1 and power supply of chip;The one end capacitor C10 ground connection, between another terminating resistor R20 and power supply.
The assisting automobile driver module 4 includes warning device and voice prompt device, is reported extremely to vehicle driving respectively It warns and corresponding voice prompting is carried out to driver, wherein warning device includes alarm lamp D3, resistance R13, triode Q1, loudspeaking Device;The control module 3 includes: chip AT89S52, resistance R11, R12, capacitor C7, C8, C9, crystal oscillator Y1, replys key K1, 18,19 pins of the chip AT89S52 are connected with capacitor C7, C8 respectively, and crystal oscillator Y1 connects in the centre of capacitor C7, C8, C7, The other end of C8 is grounded;No. 9 pins of AT89S52 are connect with capacitor C9, and resistance R11 connects with key K1 and is connected to capacitor C9's Both ends, another termination 5V equipotential of capacitor, resistance R12 are in parallel with resistance R11;The pin 1 and resistance R13 of chip AT89S52 It is connected, alarm lamp D3 and resistance R13 is connected in parallel to the base stage of triode Q1, and the collector of triode Q1 meets the one of loudspeaker End, the emitter of triode Q1 connect 5V equipotential.
The working principle of the invention: information detecting module, vehicle external environment acquisition module are handled by control unit and driven The information that the person's of sailing operation information acquisition module is collected, analyzes it and compares with the use habit of driver usually, so Afterwards by the throttle of vehicle drive auxiliary unit control vehicle, brake, steering and sending safe driving information reminding, while if It is abnormal to detect that vehicle condition occurs, can also issue and remind to driver in time.
The beneficial effects of the present invention are: in time to vehicle itself and traveling in ambient enviroment and driver operation into Row can have in time when exception occurs in vehicle or unsafe condition and driver's abnormal driving of appearance occurs in external environment Effect gives a warning and prompts, the advantageous safety for having ensured driver and passenger.
Detailed description of the invention
Fig. 1 is the working principle of the invention block diagram;
Fig. 2 is dust concentration detection circuit figure of the invention;
Fig. 3 is Temperature and Humidity circuit diagram of the invention;
Fig. 4 is warning circuit figure of the invention;
Each label in figure: 1- information of vehicles detection module, 2- vehicle external environment acquisition module, 3- control module, 4- driving mention Awake module, 5- driver's operation information acquisition module.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples.
Embodiment 1: a kind of safety driving system based on artificial intelligence as shown in Figure 1:, including information of vehicles detection module 1, vehicle external environment acquisition module 2, control module 3, assisting automobile driver module 4 and driver's operation information acquisition module 5;
The information of vehicles detection module 1 is used to detect the self performance and environment inside car of vehicle, and self performance includes vehicle Accumulation mileage travelled, brake, travel speed, throttle, tire pressure and vehicle are born a heavy burden information;Environment inside car includes interior empty Makings amount and temperature and humidity;
The vehicle external environment acquisition module 2 is for acquiring the external environment information of vehicle when driving, including road information, vehicle Flow and flow of the people information, wherein road information is the quantity in lane, the position of lane line and belisha beacon state;
Driver's operation information acquisition module 5 is used to collect the operation behavior of driver, including starting, acceleration, brake Vehicle and steering;
The control module 3 is for receiving information of vehicles detection module 1, vehicle external environment acquisition module 2 and driver's operation The information of the collection of information acquisition module 5 is simultaneously analyzed and processed, and carries out relevant operation to driver by assisting automobile driver module 4 Prompt and the prompting of safety traffic information.
When information of vehicles detection module 1 detects that vehicle self performance occurs abnormal, such as overweight, mileage travelled is excessive, The security risks such as under-inflation, control module 3 receives and can directly issue instruction after information and pass through assisting automobile driver module 4 at this time Prompting is made to driver;The collected information of vehicle external environment acquisition module 2 can obtain correctly after the analysis of control module 3 Operation information, also by assisting automobile driver module 4 inform driver, driven if driver's operation information acquisition module 5 collects The information that the person of sailing does not drive by correct operation, assisting automobile driver module 4 can give a warning driver;The acquisition of driver's operation information The meeting of module 5 carries out long-term record to the operation information of driver and is practised by the driving that control module 3 can analyze out driver It is used, if the operation behavior of driver and usually inconsistent, such as there is emergency stop brake, just explanation be possible to driver's appearance it is absent-minded or Person's fatigue driving behavior, control module 3 issues driver by assisting automobile driver module 4 prompt immediately at this time, prevents more Add dangerous driving behavior.
Embodiment 2: wherein information of vehicles detection module 1 includes dust concentration detection device and temperature-humidity detecting device, is divided Other air quality and temperature and humidity to vehicle interior detects.
As shown in Fig. 2, dust concentration detection device includes resistance R1, resistance R2, amplifier Fa1, capacitor C1, wherein resistance One end of R1 is connected on the P1.0 interface of control module 3, and the other end is connected on resistance R2;One end of resistance R2, which is connected to, puts On the negative input mouth of big device Fa1, the other end is connected on the output port of amplifier Fa1;Capacitor C1 is in parallel with resistance R2, One end of capacitor C1 is connected on the negative input of amplifier Fa1, and the other end is connected on the output end of amplifier Fa1;It puts The electrode input end ground connection of big device Fa1, negative input are connected on resistance R1, and the output end of amplifier is connected to control module On 3 P1.1 interface.
As shown in figure 3, temperature-humidity detecting device includes Temperature Humidity Sensor chip, resistance R20, capacitor C10;It is wherein warm and humid The pin 3 for spending sensor chip is grounded, and resistance R20 mono- terminates the pin 2 of Temperature Humidity Sensor chip, and the other end connects temperature and humidity The pin 1 and power supply of sensor chip;The one end capacitor C10 ground connection, between another terminating resistor R20 and power supply.
When dust concentration is excessively high or when temperature and humidity is improper in vehicle, assisting automobile driver module 4 can issue driver It timely reminds, can take effective measures cause adverse consequences, vehicle as opened a window or clearing up to prevent from being worse off at this time Photographic device can also be set in information detecting module 1, observe the situation in vehicle in real time.
Embodiment 3: the assisting automobile driver module 4 includes warning device and voice prompt device, different to vehicle driving respectively It often carries out alarm and corresponding voice prompting is carried out to driver.
As shown in figure 4, wherein warning device includes alarm lamp D3, resistance R13, triode Q1, loudspeaker;The control mould Block 3 includes: chip AT89S52, resistance R11, R12, capacitor C7, C8, C9, crystal oscillator Y1, reply key K1, the chip 18,19 pins of AT89S52 are connected with capacitor C7, C8 respectively, and crystal oscillator Y1 connects in the centre of capacitor C7, C8, and C7, C8's is another End ground connection;No. 9 pins of AT89S52 are connect with capacitor C9, and resistance R11 connects with key K1 and is connected to the both ends of capacitor C9, electricity Another termination 5V equipotential held, resistance R12 are in parallel with resistance R11;The pin 1 of chip AT89S52 is connected with resistance R13, Alarm lamp D3 and resistance R13 is connected in parallel to the base stage of triode Q1, and the collector of triode Q1 connects one end of loudspeaker, triode The emitter of Q1 connects 5V equipotential.
Prompt and type of alarm in addition to assisting automobile driver module 4, when driver prompt and alarm are not made it is any anti- It answers, in order to ensure the safety of driver and passenger, automated driving system can be added, controlled by control module 3 and driven automatically Sail with realize emergency under intelligent operation.
Specific 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 realities Example is applied, it within the knowledge of a person skilled in the art, can also be without departing from the purpose of the present invention It makes a variety of changes.

Claims (4)

1. a kind of safety driving system based on artificial intelligence, it is characterised in that: outside including information of vehicles detection module (1), vehicle Environment acquisition module (2), control module (3), assisting automobile driver module (4) and driver's operation information acquisition module (5);
The information of vehicles detection module (1) is used to detect the self performance and environment inside car of vehicle, and self performance includes vehicle Accumulation mileage travelled, brake, travel speed, throttle, tire pressure and vehicle are born a heavy burden information;Environment inside car includes in-vehicle air Quality and temperature and humidity;
The vehicle external environment acquisition module (2) is for acquiring the external environment information of vehicle when driving, including road information, wagon flow Amount and flow of the people information, wherein road information is the quantity in lane, the position of lane line and belisha beacon state;
Driver's operation information acquisition module (5) is used to collect the operation behavior of driver, including starting, acceleration, brake And steering;
The control module (3) is for receiving information of vehicles detection module (1), vehicle external environment acquisition module (2) and driver behaviour Make the information of information acquisition module (5) collection and be analyzed and processed, driver is carried out by assisting automobile driver module (4) related The prompt of operation and the prompting for the information that drives safely.
2. the safety driving system according to claim 1 based on artificial intelligence, it is characterised in that: the information of vehicles inspection Surveying module (1) includes dust concentration detection device and temperature-humidity detecting device, respectively to the air quality of vehicle interior and warm and humid Degree is detected, and the dust concentration detection device includes resistance R1, resistance R2, amplifier Fa1, capacitor C1, wherein resistance R1 One end be connected on the P1.0 interface of control module (3), the other end is connected on resistance R2;One end of resistance R2, which is connected to, puts On the negative input mouth of big device Fa1, the other end is connected on the output port of amplifier Fa1;Capacitor C1 is in parallel with resistance R2, One end of capacitor C1 is connected on the negative input of amplifier Fa1, and the other end is connected on the output end of amplifier Fa1;It puts The electrode input end ground connection of big device Fa1, negative input are connected on resistance R1, and the output end of amplifier is connected to control module (3) on P1.1 interface;
The temperature-humidity detecting device includes Temperature Humidity Sensor chip, resistance R20, capacitor C10;Wherein Temperature Humidity Sensor core The pin 3 of piece is grounded, and resistance R20 mono- terminates the pin 2 of Temperature Humidity Sensor chip, and the other end connects Temperature Humidity Sensor chip Pin 1 and power supply;The one end capacitor C10 ground connection, between another terminating resistor R20 and power supply.
3. the safety driving system according to claim 1 based on artificial intelligence, it is characterised in that: the assisting automobile driver mould Block (4) includes warning device and voice prompt device, carries out alarm extremely to vehicle driving respectively and carries out to driver corresponding Voice prompting, wherein warning device includes alarm lamp D3, resistance R13, triode Q1, loudspeaker;Control module (3) packet Include: chip AT89S52, resistance R11, R12, capacitor C7, C8, C9, crystal oscillator Y1 reply key K1, the chip AT89S52's 18,19 pins are connected with capacitor C7, C8 respectively, and crystal oscillator Y1 connects in the centre of capacitor C7, C8, and the other end of C7, C8 are grounded; No. 9 pins of AT89S52 are connect with capacitor C9, and resistance R11 connects with key K1 and is connected to the both ends of capacitor C9, capacitor it is another 5V equipotential is terminated, resistance R12 is in parallel with resistance R11;The pin 1 of chip AT89S52 is connected with resistance R13, alarm lamp D3 The base stage of triode Q1 is connected in parallel to resistance R13, the collector of triode Q1 connects one end of loudspeaker, the transmitting of triode Q1 Pole connects 5V equipotential.
4. the safety driving system according to claim 1 based on artificial intelligence, it is characterised in that: the control module (3) information collected to information of vehicles detection module (1) and vehicle external environment acquisition module (2) carries out analysis respectively and show that vehicle is The no correct driver behavior instruction in abnormal and corresponding vehicle external environment, by assisting automobile driver module (4) to driver into The prompt of row relevant operation and the prompting for the information that drives safely;Control module (3) receives the acquisition of driver's operation information simultaneously Module (5) collect driver drive information and with correct driver behavior instruction be compared, if there is not by instruction It drives, assisting automobile driver module (4) gives a warning driver;Furthermore driver's operation information acquisition module 5 can be to driver's Operation information carries out long-term record and analyzes the driving habit of driver by control module 3, if the operation row of driver For with it is usually inconsistent, at this time control module 3 immediately by assisting automobile driver module 4 to driver issue prompt.
CN201810874508.2A 2018-08-03 2018-08-03 A kind of safety driving system based on artificial intelligence Pending CN109263646A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110070738A (en) * 2019-05-27 2019-07-30 广州小鹏汽车科技有限公司 Drive function recommended method, device and vehicle
CN112061132A (en) * 2019-05-24 2020-12-11 阿里巴巴集团控股有限公司 Driving assistance method and driving assistance device
CN112693475A (en) * 2019-10-04 2021-04-23 丰田自动车株式会社 Automatic driving control system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020025944A (en) * 2002-03-13 2002-04-04 안정구 mechanical ability type cluster for vehicle and its driving method
JP2008049776A (en) * 2006-08-23 2008-03-06 Denso Corp Traveling state monitoring device for vehicle
CN201264502Y (en) * 2008-07-15 2009-07-01 比亚迪股份有限公司 Vehicular air quality regulation system
CN104386063A (en) * 2014-09-19 2015-03-04 奇瑞汽车股份有限公司 Driving assistance system based on artificial intelligence
CN205002271U (en) * 2015-07-29 2016-01-27 北京天泰瑞祥科技发展有限公司 Air purifier
CN106178888A (en) * 2016-07-29 2016-12-07 昆明理工大学 Based on embedded type C PS medical ward Temperature and Humidity and waste gas filtering emission integration unit
CN106215762A (en) * 2016-08-01 2016-12-14 昆明理工大学 A kind of raw material of industry Intelligent Hybrid real-time control apparatus based on embedded type C PS
CN106828486A (en) * 2017-01-23 2017-06-13 斑马信息科技有限公司 Driving behavior correcting system and its method
CN107901911A (en) * 2017-09-29 2018-04-13 苏州花坞信息科技有限公司 A kind of vehicle assisted system of artificial intelligence
CN107919028A (en) * 2017-12-05 2018-04-17 胡永胜 A kind of highway automobile collision early warning system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020025944A (en) * 2002-03-13 2002-04-04 안정구 mechanical ability type cluster for vehicle and its driving method
JP2008049776A (en) * 2006-08-23 2008-03-06 Denso Corp Traveling state monitoring device for vehicle
CN201264502Y (en) * 2008-07-15 2009-07-01 比亚迪股份有限公司 Vehicular air quality regulation system
CN104386063A (en) * 2014-09-19 2015-03-04 奇瑞汽车股份有限公司 Driving assistance system based on artificial intelligence
CN205002271U (en) * 2015-07-29 2016-01-27 北京天泰瑞祥科技发展有限公司 Air purifier
CN106178888A (en) * 2016-07-29 2016-12-07 昆明理工大学 Based on embedded type C PS medical ward Temperature and Humidity and waste gas filtering emission integration unit
CN106215762A (en) * 2016-08-01 2016-12-14 昆明理工大学 A kind of raw material of industry Intelligent Hybrid real-time control apparatus based on embedded type C PS
CN106828486A (en) * 2017-01-23 2017-06-13 斑马信息科技有限公司 Driving behavior correcting system and its method
CN107901911A (en) * 2017-09-29 2018-04-13 苏州花坞信息科技有限公司 A kind of vehicle assisted system of artificial intelligence
CN107919028A (en) * 2017-12-05 2018-04-17 胡永胜 A kind of highway automobile collision early warning system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112061132A (en) * 2019-05-24 2020-12-11 阿里巴巴集团控股有限公司 Driving assistance method and driving assistance device
CN110070738A (en) * 2019-05-27 2019-07-30 广州小鹏汽车科技有限公司 Drive function recommended method, device and vehicle
CN112693475A (en) * 2019-10-04 2021-04-23 丰田自动车株式会社 Automatic driving control system

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