CN106027792A - Intelligently assistant drive learning system and method based on on-board diagnostic (OBD) terminal - Google Patents

Intelligently assistant drive learning system and method based on on-board diagnostic (OBD) terminal Download PDF

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Publication number
CN106027792A
CN106027792A CN201610498552.9A CN201610498552A CN106027792A CN 106027792 A CN106027792 A CN 106027792A CN 201610498552 A CN201610498552 A CN 201610498552A CN 106027792 A CN106027792 A CN 106027792A
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China
Prior art keywords
vehicle
obd
obd terminal
terminal
car
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CN201610498552.9A
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Inventor
田雨农
孙长明
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Dalian Roiland Technology Co Ltd
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Dalian Roiland Technology Co Ltd
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Priority to CN201610498552.9A priority Critical patent/CN106027792A/en
Publication of CN106027792A publication Critical patent/CN106027792A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72409User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
    • H04M1/72415User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories for remote control of appliances
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231Circuits relating to the driving or the functioning of the vehicle
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • H04N7/185Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses an intelligently assistant drive learning system and an intelligently assistant drive learning method based on an on-board diagnostic (OBD) terminal. The system comprises an image collector, for collecting and identifying an identifier of a road in front of a vehicle, converting the collected identifier into corresponding analog semaphore, and sending the analog semaphore to an OBD terminal; the OBD terminal, for collecting related data of the vehicle, completing modeling, analysis and judgment of the data, warning a student in a voice guiding manner according to the judgment, and forcibly braking or stalling the vehicle when a danger or an abnormal situation appears suddenly; and a handset terminal APP, which is in communication with the OBD terminal, for achieving remote control and parameter setting. According to the method, the problem of transforming the vehicle is solved, after the OBD device is installed, a coach does not need to always sit in the vehicle for teaching, the OBD device can complete guidance on driving, the negotiation problem between the coach and the student is solved, and meanwhile, the cost of a driving school is salved and labor forces are liberated.

Description

Intelligence auxiliary based on OBD terminal learns the system and method for car
Technical field
The invention belongs to intelligence auxiliary and learn car field, what a kind of intelligence auxiliary based on OBD terminal learned car is System and method.
Background technology
Learn the Main Means of car now to transform teaching vehicle, train that to instruct with car be auxiliary.Wherein drawback is the most aobvious and easy Seeing, one, transformation teaching vehicle destroys vehicle original structure, affects follow-up normal use again, and transformation Costly.Its two, usual couch by virtue of experience imparts knowledge to students and wants long-time and instructs in car.At present, driving path training Or in training, assign instruction with password formula by couch to allow be grasped by coach people and follow correct motion action main points and be put to Implementing, generally also exist that to teach the language of password lack of standardization, each step operational motion links up inconsistent, and prolonged and repeated propagandas directed to communicate also Can strengthen the labor intensity of couch, effect is taught in impact, and often appearance is rough and nonstandard teaches term largely Affect getting along amiably and peacefully between teachers and students.It is poor that part couch teaches attitude, conflicts with easily producing between student.Instruct simultaneously Several students cannot accomplish exhaustive.
Summary of the invention
For solving the problems referred to above that prior art exists, the invention provides a kind of intelligence auxiliary based on OBD terminal and learn The system and method for car, solves transformation vehicle problem, after OBD equipment is installed, couch without time be engraved in car guidance, OBD equipment can complete driving directions, solves the communication problem between couch and student, also saves the one-tenth of driving school simultaneously This, liberated labour force.
For achieving the above object, the invention provides a kind of intelligence auxiliary based on OBD terminal and learn the system of car, including:
Image acquisition device, gathers and identifies vehicle front road signs mark, and the mark collected mark is converted into phase The analogue signal amount answered, is sent to OBD terminal;
OBD terminal, collection vehicle related data, and complete the modeling of data, analyze, judge, and according to judging Member carries out voice guidance warning, is causing danger or unexpected abnormality situation is to force vehicle brake or flame-out;
Mobile phone terminal APP, carries out communication with OBD terminal, it is achieved remotely control and parameter is arranged;
Described OBD terminal is connected with image acquisition device, mobile phone terminal APP respectively.
Further, image acquisition device, the data volume of collection be stop in stop line, S bend/bend both sides, right angle white The enclosure wall of both sides, curb, barrier and the distance with vehicle center point thereof when line, turning.
Further, wherein OBD terminal collection vehicle related data includes speed, steering wheel angle, clutch pedal, oil Door pedal, brake pedal, parking brake, vehicle door status.
Further, coach monitors vehicle-state in real time by mobile phone terminal APP, for state not to local the most logical Know that student corrects, force vehicle deceleration or flame-out if desired.
Further, when the modeling of OBD terminal data is particularly as follows: OBD terminal powers on first, initialize, with vehicle Setting up coordinate system for initial point, demarcating vehicle right side is X-axis positive axis, and left side is that X-axis bears semiaxis, and auto model is with real vehicle vehicle body width Degree is as the criterion, and is distributed initial point both sides, and when image acquisition device returns road information, coordinate system combines with real road information, OBD Terminal modeling terminates;
Further, OBD terminal data analysis is particularly as follows: the road information that gathered by image acquisition device, by vehicle Passing to OBD terminal with the spacing of graticule, OBD terminal adds distance a of vehicle and graticule in a model;If present road is curved Road, then, in units of 10 degree, calculate the tangent line of each section of arc, and slope is K, the current wheel of labelling and the forward and reverse folder of coordinate system X-axis Angle is θ.Each ECU of OBD terminal access simultaneously, carries out the two-way interactive of data.
Further, OBD terminal data judge particularly as follows:
As vehicle and the distance N1≤P1 of graticule, OBD terminal is reminded;
As vehicle and the distance N2≤P2 of graticule, OBD terminal gives a warning, and controls vehicle deceleration simultaneously;
Absolute value as bend tangent slope K with front vehicle wheel with the difference of the tangent value tan θ of the forward and reverse angle theta of coordinate system X-axis During more than P3, OBD terminal sends prompting.
As further, OBD terminal calculated direction dish angle and wheel angle corresponding relation: work as front by gathering The angle of current vehicle wheel is calculated, roadmarking data, vehicle and graticule and the barrier transmitted in conjunction with image acquisition device to dish goniometer Hinder thing distance, choose wherein optimal route, calculate the road speed driving angle of optimal route, fed back to by the form of voice Student in car,
One direction steering wheel maximum angle is 630 °, and now wheel reaches maximum angle 45 °;Relative coefficient is according to above-mentioned The absolute value of K Yu tan θ difference determines;By adjusting θ value, making K value close with tan θ, i.e. two slopes are close, and straight line is non-intersect, Current graticule can be passed through;When K value has big difference with tan θ, student in car, according to formula, is reminded by OBD terminal Instruct.
Present invention also offers a kind of method that intelligence auxiliary based on OBD terminal learns car, specifically include:
S1. image acquisition device collection vehicle road ahead mark identification information, and be converted into analog quantity and pass through serial communication Send OBD terminal to;
S2.OBD terminal gathers steering wheel angle and vehicle-related information by vehicle Intranet, is sent to by communications protocol OBD terminal inner computation modeling module;
S3.OBD terminal is combined, with vehicle as initial point by the data self gathering data and image capturing system transmission Set up coordinate system;
S4. by judging and graticule distance, bend tangent slope k, calculated direction disc spins angle also feeds back to student.
Concrete, this method also includes: S5: if Current vehicle occurs abnormal, couch can run through mobile phone terminal Teaching vehicle is slowed down by APP, and flame-out grade operates;OBD terminal parameter can also be configured:
S5-1:OBD terminal access each ECU acquisition state returns to mobile phone terminal APP;
S5-2: if there being abnormal conditions, by sending instructions under mobile phone terminal APP, passes to OBD terminal through GSM network, by OBD Terminal is handed down to vehicle ECU, vehicle ECU and acts accordingly, and terminates current abnormal.
Due to the fact that the above technical scheme of employing, it is possible to obtain following technique effect: the present invention is without entering vehicle Row transformation, only installs OBD terminal at vehicle original OBD interface, so as to image processing techniques, in conjunction with mobile phone terminal APP, i.e. completes whole The installation of individual auxiliary vehicle-learning system.Perfectly solve transformation vehicle problem, after installation equipment, couch without time be engraved in car In instruct, OBD equipment can complete driving directions, solves the communication problem between couch and student.Save the one-tenth of driving school This, liberated labour force, promotes the learning efficiency.Learn car from this and can become happy and simple.
Accompanying drawing explanation
The present invention has accompanying drawing 1 width:
Fig. 1 is the system architecture diagram that intelligence auxiliary based on OBD terminal learns car.
Detailed description of the invention
Below by embodiment, and combine accompanying drawing, technical scheme is described in further detail.
Embodiment 1
The present embodiment provides a kind of intelligence auxiliary based on OBD terminal to learn the system of car, including:
Image acquisition device, gathers and identifies vehicle front road signs mark, and the mark collected mark is converted into phase The analogue signal amount answered, is sent to OBD terminal;Mainly gathering data volume is the stop line in stopping, S bend/quarter bend The enclosure wall of both sides, curb, barrier and the distance with vehicle center point thereof when both sides, road white line, turning.
OBD terminal, collection vehicle related data, and complete the modeling of data, analyze, judge, and according to judging Member carries out voice guidance warning, is causing danger or unexpected abnormality situation is to force vehicle brake or flame-out;Wherein OBD terminal Main acquisition index has speed, steering wheel angle, clutch pedal, gas pedal, brake pedal, parking brake, vehicle door status.
Mobile phone terminal APP, carries out communication by GSM network and OBD terminal, it is achieved remotely control and parameter is arranged;Coach Vehicle-state can be monitored in real time with mobile phone A PP section, for state not to place can notify that student corrects in time, if desired may be used Force vehicle deceleration or flame-out;
Described OBD terminal is connected with image acquisition device, mobile phone terminal APP respectively.
Embodiment 2
Supplementing further as embodiment 1:
When the modeling of OBD terminal data is particularly as follows: OBD terminal powers on first, initializes, start to access full car ECU, enter Row instruction acceptance and transmission, wherein OBD data acquisition of terminal include clutch pedal, gas pedal, brake pedal, parking brake, Vehicle door status, sparking state, speed.Setting up coordinate system with vehicle for initial point, demarcating vehicle right side is X-axis positive axis, and left side is X Axle bears semiaxis, and auto model is as the criterion with real vehicle body width, is distributed initial point both sides, when image acquisition device returns road information, Coordinate system combines with real road information, and the modeling of OBD terminal terminates;
OBD terminal data analysis is particularly as follows: the road information that gathered by image acquisition device, by the spacing of vehicle Yu graticule From passing to OBD terminal, OBD terminal adds distance a of vehicle and graticule in a model;If present road is bend, then with 10 degree For unit, calculating the tangent line of each section of arc, slope is K, and the current wheel of labelling and the forward and reverse angle of coordinate system X-axis are θ.Simultaneously Each ECU of OBD terminal access, carries out the two-way interactive of data.
OBD terminal data judge particularly as follows:
As vehicle and the distance N1≤40cm of graticule, OBD terminal is reminded;
As vehicle and the distance N2≤15cm of graticule, OBD terminal gives a warning, and controls vehicle deceleration simultaneously;
Absolute value as bend tangent slope K with front vehicle wheel with the difference of the tangent value tan θ of the forward and reverse angle theta of coordinate system X-axis During more than 5, OBD terminal sends prompting.
Embodiment 3
Supplementing further as embodiment 1:
When the modeling of OBD terminal data is particularly as follows: OBD terminal powers on first, initialize, set up with vehicle for initial point and sit Mark system, demarcating vehicle right side is X-axis positive axis, and left side is that X-axis bears semiaxis, and auto model is as the criterion with real vehicle body width, distribution Initial point both sides, when image acquisition device returns road information, coordinate system combines with real road information, OBD terminal modeling knot Bundle;
OBD terminal data analysis is particularly as follows: the road information that gathered by image acquisition device, by the spacing of vehicle Yu graticule From passing to OBD terminal, OBD terminal adds distance a of vehicle and graticule in a model;If present road is bend, then with 10 degree For unit, calculating the tangent line of each section of arc, slope is K, and the current wheel of labelling and the forward and reverse angle of coordinate system X-axis are θ.Simultaneously Each ECU of OBD terminal access, carries out the two-way interactive of data.
OBD terminal data judge particularly as follows:
As vehicle and the distance N1≤35cm of graticule, OBD terminal is reminded;
As vehicle and the distance N2≤12cm of graticule, OBD terminal gives a warning, and controls vehicle deceleration simultaneously;
Absolute value as bend tangent slope K with front vehicle wheel with the difference of the tangent value tan θ of the forward and reverse angle theta of coordinate system X-axis During more than 4, OBD terminal sends prompting.
OBD terminal calculated direction dish angle and wheel angle corresponding relation: calculate by gathering current steering wheel angle The angle of current wheel, roadmarking data, vehicle and graticule and the obstacle distance transmitted in conjunction with image acquisition device, choose it Middle optimal route, calculates the road speed driving angle of optimal route, feeds back to student in car by the form of voice,
Under normal circumstances, pony car one direction steering wheel maximum angle is 630 °, and now wheel reaches maximum angle 45 °, the relation of the steering wheel anglec of rotation and vehicle wheel rotation angle can be obtained according to data above.Wherein according to relative coefficient The absolute value of above-mentioned K Yu tan θ difference determines, adjusts θ value, and the absolute value making K Yu tan θ differ from levels off to zero.
One direction steering wheel maximum angle is 630 °, and now wheel reaches maximum angle 45 °;Relative coefficient is according to above-mentioned The absolute value of K Yu tan θ difference determines;By adjusting θ value, making K value close with tan θ, i.e. two slopes are close, and straight line is non-intersect, Current graticule can be passed through;When K value has big difference with tan θ, student in car, according to formula, is reminded by OBD terminal Instruct.
Embodiment 4
Present embodiments provide a kind of method that intelligence auxiliary based on OBD terminal learns car, specifically include:
S1. image acquisition device collection vehicle road ahead mark identification information, and be converted into analog quantity and pass through serial communication Send OBD terminal to;
S2.OBD terminal gathers steering wheel angle and vehicle-related information by vehicle Intranet, is sent to by communications protocol OBD terminal inner computation modeling module;
S3.OBD terminal is combined, with vehicle as initial point by the data self gathering data and image capturing system transmission Set up coordinate system, with both sides graticule distance as reference, be modeled;
S4. by judging and graticule distance, bend tangent slope k, calculated direction disc spins angle also feeds back to student.
Embodiment 5
Present embodiments provide a kind of method that intelligence auxiliary based on OBD terminal learns car, specifically include:
S1. image acquisition device collection vehicle road ahead mark identification information, and be converted into analog quantity and pass through serial communication Send OBD terminal to;
S2.OBD terminal gathers steering wheel angle and vehicle-related information by vehicle Intranet, is sent to by communications protocol OBD terminal inner computation modeling module;
S3.OBD terminal is combined, with vehicle as initial point by the data self gathering data and image capturing system transmission Set up coordinate system;
S4. by judging and graticule distance, bend tangent slope k, calculated direction disc spins angle also feeds back to student.
S5: if Current vehicle occurs abnormal, couch can run through mobile phone terminal APP and slow down teaching vehicle, flame-out Deng operation;OBD terminal parameter can also be configured:
S5-1:OBD terminal access each ECU acquisition state returns to mobile phone terminal APP, and mobile phone terminal APP end can be real-time Check;
S5-2: if there being abnormal conditions, by sending instructions under mobile phone terminal APP, passes to OBD terminal through GSM network, by OBD Terminal is handed down to vehicle ECU, vehicle ECU and acts accordingly, and terminates current abnormal.
The application greatly reducing cost, liberates labour force, promotes the learning efficiency.Learn car from this and can become happy and simple Single.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto, Any those familiar with the art in the technical scope of present disclosure, according to technical scheme and Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.

Claims (10)

1. intelligence auxiliary based on OBD terminal learns the system of car, it is characterised in that including:
Image acquisition device, gathers and identifies vehicle front road signs mark, and be converted into corresponding by the mark collected mark Analogue signal amount, is sent to OBD terminal;
OBD terminal, collection vehicle related data, and complete the modeling of data, analyze, judge, and according to judging student is entered Row voice guidance alerts;
Mobile phone terminal APP, carries out communication with OBD terminal, it is achieved remotely control and parameter is arranged;
Described OBD terminal is connected with image acquisition device, mobile phone terminal APP respectively.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that image acquisition Device, the data volume of collection be stop in stop line, S bend/bend both sides, right angle white line, turn time the enclosure wall of both sides, curb, Barrier and the distance with vehicle center point thereof.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that wherein OBD is eventually End collection vehicle related data includes speed, steering wheel angle, clutch pedal, gas pedal, brake pedal, parking brake, car door State.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that coach passes through Mobile phone terminal APP monitors vehicle-state in real time, for state not to place notify that student corrects in time, force vehicle if desired Slow down or flame-out.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that OBD number of terminals During according to modeling particularly as follows: OBD terminal powers on first, initialize, set up coordinate system with vehicle for initial point, demarcate vehicle right side For X-axis positive axis, left side is that X-axis bears semiaxis, and auto model is as the criterion with real vehicle body width, is distributed initial point both sides, when image is adopted When storage returns road information, coordinate system combines with real road information, and the modeling of OBD terminal terminates.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that OBD number of terminals According to analyzing particularly as follows: the road information gathered by image acquisition device, the spacing of vehicle Yu graticule is passed to OBD terminal, OBD Terminal adds distance a of vehicle and graticule in a model;If present road is bend, then, in units of 10 degree, calculate each section The tangent line of arc, slope is K, and the current wheel of labelling and the forward and reverse angle of coordinate system X-axis are θ, each ECU of OBD terminal access simultaneously, Carry out the two-way interactive of data.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that OBD number of terminals It is judged that particularly as follows:
As vehicle and the distance N1≤P1 of graticule, OBD terminal is reminded;
As vehicle and the distance N2≤P2 of graticule, OBD terminal gives a warning, and controls vehicle deceleration simultaneously;
When the absolute value of the difference of the tangent value tan θ of bend tangent slope K angle theta forward and reverse with coordinate system X-axis with front vehicle wheel is more than During P3, OBD terminal sends prompting.
Intelligence auxiliary based on OBD terminal the most according to claim 1 learns the system of car, it is characterised in that OBD terminal meter Calculate steering wheel angle and wheel angle corresponding relation: gather current steering wheel angle and calculate the angle of current wheel, in conjunction with figure Roadmarking data, vehicle and graticule and the obstacle distance transmitted as harvester, learns in feeding back to car by the form of voice Member;
The steering wheel anglec of rotation is:
One direction steering wheel maximum angle is 630 °, and now wheel reaches maximum angle 45 °;Relative coefficient be according to above-mentioned K with The absolute value of tan θ difference determines;By adjusting θ value, making K value close with tan θ, i.e. two slopes are close, and straight line is non-intersect, can Pass through current graticule;When K value has big difference with tan θ, OBD terminal, according to this formula, carries out prompting to student in car and refers to Lead.
9. the method that intelligence auxiliary based on OBD terminal learns car, it is characterised in that specifically include:
S1. image acquisition device collection vehicle road ahead mark identification information, and it is converted into analog quantity by serial communication transmission To OBD terminal;
S2.OBD terminal gathers steering wheel angle and vehicle-related information by vehicle Intranet, sends OBD terminal inner to and calculates MBM;
S3.OBD terminal is combined by the data self gathering data and image acquisition device transmission, sets up with vehicle for initial point and sits Mark system;
S4. by judging and graticule distance, bend tangent slope k, calculated direction disc spins angle also feeds back to student.
The method that the most according to claim 9, intelligence auxiliary based on OBD terminal learns car, it is characterised in that the method is also wrapped Include, S5: if Current vehicle occurs abnormal, couch to vehicle deceleration by mobile phone terminal APP, is stopped working and waits operation;Can also be to OBD Terminal parameter is configured:
S5-1:OBD terminal access each ECU acquisition state returns to mobile phone terminal APP;
S5-2: if there being abnormal conditions, by sending instructions under mobile phone terminal APP, passes to OBD terminal through GSM network, by OBD terminal It is handed down to vehicle ECU, vehicle ECU act accordingly, terminates current abnormal.
CN201610498552.9A 2016-06-30 2016-06-30 Intelligently assistant drive learning system and method based on on-board diagnostic (OBD) terminal Pending CN106027792A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107093222A (en) * 2017-02-28 2017-08-25 广州地理研究所 It is a kind of that training timekeeping system is driven based on vehicle electron identifying
CN108305523A (en) * 2017-12-27 2018-07-20 广州里奇信息科技有限公司 Assist method, system and the teaching vehicle of learning
CN108363377A (en) * 2017-12-31 2018-08-03 广州展讯信息科技有限公司 A kind of data acquisition device and method applied to Driving Test system
CN113561897A (en) * 2021-07-15 2021-10-29 河北三国新能源科技有限公司 Method and system for judging ramp parking position of driving test vehicle based on panoramic all-round view
CN113777996A (en) * 2021-09-23 2021-12-10 东风汽车有限公司东风日产乘用车公司 Remote control method, device and equipment based on mobile terminal

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120196252A1 (en) * 2011-02-02 2012-08-02 Matthew James Jensen Tailgating Scenario Safety Training Device And Methods
US20140170617A1 (en) * 2012-12-19 2014-06-19 Caterpillar Inc. Monitoring System for a Machine
CN104517493A (en) * 2014-12-29 2015-04-15 东莞市新雷神仿真控制有限公司 High-speed rail driving simulation system
CN104641406A (en) * 2012-09-17 2015-05-20 沃尔沃卡车集团 Method and system for providing a tutorial message to a driver of a vehicle
CN105096687A (en) * 2014-04-29 2015-11-25 比亚迪股份有限公司 Vehicle-mounted driving training system and method
CN105128863A (en) * 2015-07-29 2015-12-09 奇瑞汽车股份有限公司 Driving auxiliary system for fresh man
CN105530458A (en) * 2014-09-29 2016-04-27 深圳市赛格导航科技股份有限公司 Remote companying driving system and remote companying driving method
CN105632293A (en) * 2016-03-29 2016-06-01 北京双安达科技有限公司 Intelligent learner-driven vehicle assisted teaching system and use method thereof
CN105654808A (en) * 2016-02-03 2016-06-08 北京易驾佳信息科技有限公司 Intelligent training system for vehicle driver based on actual vehicle

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120196252A1 (en) * 2011-02-02 2012-08-02 Matthew James Jensen Tailgating Scenario Safety Training Device And Methods
CN104641406A (en) * 2012-09-17 2015-05-20 沃尔沃卡车集团 Method and system for providing a tutorial message to a driver of a vehicle
US20140170617A1 (en) * 2012-12-19 2014-06-19 Caterpillar Inc. Monitoring System for a Machine
CN105096687A (en) * 2014-04-29 2015-11-25 比亚迪股份有限公司 Vehicle-mounted driving training system and method
CN105530458A (en) * 2014-09-29 2016-04-27 深圳市赛格导航科技股份有限公司 Remote companying driving system and remote companying driving method
CN104517493A (en) * 2014-12-29 2015-04-15 东莞市新雷神仿真控制有限公司 High-speed rail driving simulation system
CN105128863A (en) * 2015-07-29 2015-12-09 奇瑞汽车股份有限公司 Driving auxiliary system for fresh man
CN105654808A (en) * 2016-02-03 2016-06-08 北京易驾佳信息科技有限公司 Intelligent training system for vehicle driver based on actual vehicle
CN105632293A (en) * 2016-03-29 2016-06-01 北京双安达科技有限公司 Intelligent learner-driven vehicle assisted teaching system and use method thereof

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107093222A (en) * 2017-02-28 2017-08-25 广州地理研究所 It is a kind of that training timekeeping system is driven based on vehicle electron identifying
CN107093222B (en) * 2017-02-28 2019-05-21 广州中国科学院沈阳自动化研究所分所 It is a kind of that training timekeeping system is driven based on vehicle electron identifying
CN108305523A (en) * 2017-12-27 2018-07-20 广州里奇信息科技有限公司 Assist method, system and the teaching vehicle of learning
CN108363377A (en) * 2017-12-31 2018-08-03 广州展讯信息科技有限公司 A kind of data acquisition device and method applied to Driving Test system
CN113561897A (en) * 2021-07-15 2021-10-29 河北三国新能源科技有限公司 Method and system for judging ramp parking position of driving test vehicle based on panoramic all-round view
CN113777996A (en) * 2021-09-23 2021-12-10 东风汽车有限公司东风日产乘用车公司 Remote control method, device and equipment based on mobile terminal

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Application publication date: 20161012