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CN105654808A - Intelligent training system for vehicle driver based on actual vehicle - Google Patents

Intelligent training system for vehicle driver based on actual vehicle Download PDF

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Publication number
CN105654808A
CN105654808A CN201610073414.6A CN201610073414A CN105654808A CN 105654808 A CN105654808 A CN 105654808A CN 201610073414 A CN201610073414 A CN 201610073414A CN 105654808 A CN105654808 A CN 105654808A
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vehicle
driver
training
intelligent
subsystem
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马宏
段桂江
康喜龙
范海燕
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Beijing Yijiajia Technology Electronics Co Ltd
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Beijing Yijiajia Technology Electronics Co Ltd
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Priority to CN201610073414.6A priority Critical patent/CN105654808A/en
Publication of CN105654808A publication Critical patent/CN105654808A/en
Priority to CN201710038738.0A priority patent/CN106548679B/en
Priority to CN201710039460.9A priority patent/CN106781824A/en
Priority to CN201710038537.0A priority patent/CN106710360B/en
Priority to CN201710039467.0A priority patent/CN106530890B/en
Priority to CN201710044071.5A priority patent/CN106683521B/en
Priority to CN201710038433.XA priority patent/CN106781823B/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60KARRANGEMENT 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
    • B60K28/00Safety 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
    • B60K28/02Safety 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R22/00Safety belts or body harnesses in vehicles
    • B60R22/48Control systems, alarms, or interlock systems, for the correct application of the belt or harness
    • 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
    • B60W40/09Driving style or behaviour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/20Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597Recognising the driver's state or behaviour, e.g. attention or drowsiness
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841Registering performance data
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/042Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/052Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles characterised by provision for recording or measuring trainee's performance

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
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  • Transportation (AREA)
  • Automation & Control Theory (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

The invention relates to an intelligent training system for a vehicle driver based on an actual vehicle. The intelligent training system comprises a vehicle-mounted intelligent training subsystem, a data processing subsystem, an operation management and control subsystem and a system-level data communication subsystem, wherein the vehicle-mounted intelligent training subsystem is mounted on the actual vehicle and is used for training interactive driving of the driver and acquiring and reporting data of a driver training process; the data processing subsystem manages basic information and is used for receiving, storing and processing the data of the training process acquired and reported by the vehicle-mounted intelligent training subsystem; the operation management and control subsystem monitors an operated state and a running state of the vehicle in real time and remotely controls the monitored vehicle according to actual conditions; the vehicle-mounted intelligent training subsystem is connected with the data processing subsystem and the operation management and control subsystem through the system-level data communication subsystem and realizes bidirectional information interaction.

Description

The intelligent training system of a kind of vehicle driver based on actual motor vehicle
One, technical field
The present invention relates to motor vehicle driving training field, in particular to the intelligent training system of a kind of vehicle driver based on actual motor vehicle.
Two, background technology
Vehicle driver training is the first barrier of traffic safety. Along with the develop rapidly of national economy, China is marching toward automobile society fast, and to driving, the demand of technical ability training with authenticating examination presents the development of blowout formula to the public. Training driving relative to the public and drive the huge amount demand examined, the technique means examined is driven in training, all many-sides such as training ability also exist significantly " bottleneck " and " short plate " driving in China. Currently, driver's training aspect still mainly adopts traditional training pattern of " oral instructions are taught others by his own example ", adopts manual type that student is launched teaching, training by trainer. The demand of examining and social informatization trend is driven in the face of the new period drives training, this kind of mode exposes more and more problems: (1) result of training and efficiency are not high: owing to lacking necessary informationization technology means, some highly rely on operation link that student self experiences (state such as vehicle semi-linkage feel, move backward warehouse-in time spatial impression etc.) be often difficult to by coach by language description importing to student, in addition part coach's deficiency of ability to express and student understand the difference of ability, training efficiency is easily caused to be difficult to improve, the phenomenon that result of training is not good; (2) dependency of trainer's ability and quality is too high: the simple training method relying on artificial teaching must cause the height to people to rely on, the individual business ability of result of training and quality heavy dependence trainer and occupation personal integrity, easily cause fluctuating and the difference of training quality; (3) train knowledge and experience be difficult to effectively accumulation and copy: there is the scarce resource that the outstanding trainer enriched one's knowledge with experience is driving training, the treasure of its knowledge and experience Shi Jiapei mechanism, and the mode manually trained hinders to a great extent and drives training knowledge and experience accumulation, excavates and copy popularization; (4) standard training course is difficult to carry out: some high-quality driving schools define perfect stdn curricular system by teaching research in long-term practice, but artificial teaching method often causes standard course system performing distortion, the shrink of terminal link.
Therefore, urgently the modern technique means such as digitizing, informationization introducing tradition is driven training and drive the field of examining, develop the advanced driver's training system based on informationization technology, be that vehicle driver training provides advanced teaching means and platform. For above-mentioned demand, market once occurred some driving training simulators for driver's training. This type systematic on fixing emulation equipment, can build drive simulation environment by the picture motion on screen. Owing to this type systematic is not based on actual vehicle platform development, all there is bigger gap with driving actual vehicle in the driving experience built and the psychological feelings of student, it is difficult to receives good training effect.
Three, summary of the invention
The present invention relates to the intelligent training system of a kind of vehicle driver based on actual motor vehicle. This system has closely merged the modern technique means such as digitizing, informationization, artificial intelligence, multi-media, virtual reality, directly install, it be deployed on real motor vehicle, the teaching and training based on actual motor vehicle is launched movable by modern technique means such as intellectuality, multi-media, virtual realities, can student provides directly, lively, directly perceived, true, intelligence, safe driving technical ability training course for driving technology is undergone training, the artificial trainer of all or part of replacement, improve training quality and efficiency, reduce training cost; Meanwhile, the operation of Student Training's process and learning data can be gathered by native system, and report central data processing system carry out storing and analyze; Can carry out training process and vehicle monitoring in real time and management and control. Thus, while providing digitizing, multi-media, intelligent advanced means for vehicle driver training, for government regulator provides the Data support needed for vehicle driver training supervision.
The intelligent training system of the described vehicle driver based on actual motor vehicle comprises vehicle intelligent training subsystem, data process subsystem, operation management and control subsystem and system level data communication subsystem; Described vehicle intelligent training subsystem is installed on actual motor vehicle, reports driver's training process data for driver carries out interactive driver training and collection; Back ground Information is managed by described data process subsystem, for receiving, store and process the described vehicle intelligent training training process data that report of subsystem collection; Described operation management and control subsystem is operated by vehicle and running status carries out monitor in real time, and according to practical situation, vehicle to be monitored is carried out remote control; Described vehicle intelligent training subsystem is connected by system level data communication subsystem and data process subsystem and operation management and control subsystem and realizes two-way information mutual communication.
Preferably, described vehicle intelligent training subsystem comprise vehicle-mounted control computer, driver's operation behavior and vehicle-state sensing module, vehicle pose perform with track sensing module, driver's head pose sensing module, intelligent driver training teaching with Decision-Making Evaluation module, multi-media 3D virtual reality human-computer interaction module, digital intelligent place module, driver training data gathering reporting module, vehicle safety control module and vehicle intelligent train subsystem level to communicate module; Described driver's head pose sensing module comprises video collector and software part, and described multi-media 3D virtual reality human-computer interaction module comprises touch display screen and software part.
Preferably, described driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, vehicle safety control module, video collector and touch display screen are connected with vehicle-mounted control computer by wired or wireless mode and realize two-way information interaction; Described head pose sensing module software part, multi-media 3D virtual reality human-computer interaction module software part and intelligent driver training teaching perform to operate on vehicle-mounted control computer with Decision-Making Evaluation module, ground, digital intelligent place module, driver training data gathering reporting module.
Preferably, described driver's operation behavior and vehicle-state sensing module passage are deployed in the sensor of vehicle different sites and data acquisition unit collection can reflect that driver operates the behavior of vehicle, vehicle is manipulated the information of state residing for parts and vehicle operating parameters, and the above-mentioned vehicle operating status information collected is sent to vehicle-mounted control computer in real time.
Preferably, the described at least one item that can reflect in real time in the following information of information that behavior that driver operates vehicle, vehicle are manipulated state residing for parts and vehicle operating parameters: left and right turn lamp switch status information, steering wheel angle information, the speed of a motor vehicle, vehicle acceleration, motor speed, parking braking device switch state, range state, car horn airing of views state and airing of views time length.
Preferably, described vehicle pose and track sensing module obtain position in place, road of vehicle reference point and reference axis and attitude information by station-keeping system, and then calculate the direction angle of the physical location of vehicle ' s contour border in place, road and vehicle forward direction.
Preferably, described driver's head pose sensing module obtains driver's head image by camera, by the image procossing of driver's head specific identifier being calculated the head pose of driver, and then identify eye to the front, left side head observes rear vision mirror, right side head observes rear vision mirror, later observe rear view of vehicle, bow and the action pose such as see shelves position, face upward head, that head stretches out vehicle window is outer, and recognition result is reported and submitted in real time to intelligent driver training teaching and performs and Decision-Making Evaluation module.
Preferably, described intelligent driver training teaching performs to be installed in vehicle-mounted control computer with Decision-Making Evaluation module, with multimedia video, voice and three-dimension interaction graphical interfaces mode provide motor vehicle driving training course for driver, driver is instructed to carry out training and operation, and according to driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, the feedback signal of driver's head pose sensing module, knowledge based storehouse identifies the driving behavior of driver, realize autonomous response, driver is instructed to carry out subsequent operations or adjustment, realize interactive intelligent tutoring, described intelligent driver training teaching is performed to provide driver with Decision-Making Evaluation module and drives Motor vehicles and the training course of required knowledge and skills of being taken an examination by driving license at different levels, described intelligent driver training teaching performs to provide advanced formula to train stage by stage with Decision-Making Evaluation module, helps the progressive grasp of driver to drive knowledge and skills, wherein: first, carry out the preliminary explanation of operation item in multimedia teaching video mode, and based on three-dimensional digital virtual reality scenario, hints on operation is explained in detail, subsequently, by step, detailed guidance driver operates, and makes intelligent interactive and feedback according to the driver's operational circumstances obtained, and corrects driver's mal-operation, analyzes driver's mistake reason, reminds driver to carry out next step and operates, afterwards, independently operating by driver, operating process is monitored by system, when finding wrong-way, reminds driver to be made mistakes and corrective action in time, finally, enter the mock examination stage, driver completely independently carries out driver behavior, system does not provide any indicative information in operation, Quantitative marking is provided according to standard test criterion after operation completes, judge whether driver skillfully grasps motor vehicle driving technical ability, and provide the conclusion whether mock examination is passed through, described intelligent driver training teaching performs can in driver's operating process with Decision-Making Evaluation module, real-time collection vehicle trace information is also stored in data process subsystem, complete after driver behavior until driver, driver's operation trace is carried out playback, auxiliary driver looks back driving procedure, searches Problems existing in operation, described intelligent driver training teaching performs the parameter that can transmit with Decision-Making Evaluation module according to driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, driver's head pose sensing module etc., in conjunction with place or road electronics map, judge that driver drives reasonableness, the compliance of behavior. further, knowledge based storehouse, identifies the existing problems and the causes in driving procedure, provides intelligent feedback opinion and analysis report.
Preferably, described multi-media 3D virtual reality human-computer interaction module sets up the 3D hologram digital simulation model of motor vehicle, described digital simulation model is in physical dimension, profile, material, color, and internal space and part, wheel, the details aspect of left and right rear vision mirror and true border Motor vehicles are consistent completely, wherein part comprises bearing circle, dashboard, seat, front-rear windshield glass, glass for vehicle window, front and back wiper, left-hand mirror, middle rear vision mirror, right rear view mirror, shelves position, gas pedal, clutch pedal, brake pedal, parking braking device etc.; Described multi-media 3D virtual reality human-computer interaction module is based on the virtual reality interaction scenarios of many windows, each provide the multiple visual angle scenes such as surface, outside is overlooked, outside back upper place is overlooked, inner driver's eyes visual angle, and, synchronization simulation display real-time, complete with the real scene maintenance residing for driver and vehicle; Described multi-media 3D virtual reality human-computer interaction module can realize the synchronous guide of explanation based on the virtual reality interaction scenarios of many windows, carry out in the process of explaining operation in intelligent driver training teaching execution and Decision-Making Evaluation module, synchronous broadcasting is based on the standard operation process of many windows virtual reality interaction scenarios, simultaneously, synchronously being highlighted by relevant factor mentioned in explanation and show and glimmer, the help driver that undergoes training accurately understands hints on operation.
Preferably, motor vehicle driving place, road etc. can be carried out map mapping and management by ground, described digital intelligent place module, by the collection of the volume coordinate to the every facility in place, road, subject and relevant factor, store and process, it is achieved to the digitized description of motor vehicle driving place, road etc.; The standard driving trace of all kinds of motor vehicle on subject, place and road can be gathered and record by ground, described digital intelligent place module; Motor vehicle profile border can be surveyed and drawn by ground, described digital intelligent place module, draws vehicle body profile electronics map.
Preferably, described driver training data gathering reporting module gathers the process data of vehicle driver between training period, comprises at least one item in following information: trainee, training mission, time opening, end time, the actual track of vehicle, training result; The vehicle driver training process data upload collected is carried out unifying storage and management by described driver training data gathering reporting module to data process subsystem.
Preferably, the vehicle performance status information that described vehicle safety control module transmits based on driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, carry out the control of intelligent and safe initiatively, when vehicle performance state reaches the precarious position of regulation, according to hazard level, automatically make suitable safety response and measure of control; Described vehicle performance state reaches the situation of the precarious position of regulation, comprises at least one item in following state: when vehicle rolls the running region of regulation away from, speed or acceleration when exceeding secure threshold, when reaching harmful grade apart from the distance of pedestrian or other obstacles; The safety that described vehicle safety control module is made automatically responds and measure of control, comprises at least one item in following measure: reduce car speed, cut-out oil circuit, braking vehicle, stop vehicle operation; Described vehicle safety control module can receive the instruction that self-operating management and control subsystem transmits, make corresponding safety response and measure of control, comprise at least one item in following measure: reduction car speed, cut-out oil circuit, braking vehicle, stop vehicle run or restart vehicle operating.
Preferably, described data process subsystem to Multimedia Teaching Courseware resource, place electronics map, drivers information, vehicle information, drive training mechanism information and manage, vehicle intelligent is trained the training process data that report of subsystem collection receive, storage and management simultaneously.
Preferably, described operation management and control subsystem is operated by vehicle and running status carries out monitor in real time, by receiving vehicle training and the manipulation data that vehicle intelligent training subsystem transmits, the position of Dynamic Announce vehicle on training site and road and movable information on screen, and vehicle operating parameters; System can make corresponding Long-distance Control measure when necessary automatically according to the rule of setting, also supports that monitor staff manually performs corresponding Long-distance Control measure when necessary; Long-distance Control measure comprises at least one item in following measure: reduces car speed, cut-out oil circuit, braking vehicle, stop vehicle operation or restarts vehicle operating.
Preferably, the intelligent training system of described vehicle driver can adopt the network edition to dispose issuing mode, in this mode, described vehicle intelligent training subsystem is deployed on multiple stage motor vehicle simultaneously, and described data process subsystem and described operation management and control subsystem are deployed in different central servers respectively or are jointly deployed on a central server; Described data process subsystem trains subsystem to provide data sink, data storage, data query, data analysis and data delivery service towards multiple vehicle intelligent simultaneously; Multiple stage motor vehicle can be carried out management and control by described operation management and control subsystem simultaneously.
Preferably, the intelligent training system of described vehicle driver can adopt bicycle version to dispose issuing mode, in this mode, described vehicle intelligent training subsystem, described data process subsystem, described operation management and control subsystem are concentrated on one or more truck-mounted computer being deployed on same motor vehicle, the mode called by wired, wireless or internal processes is set up bidirectional data communication and is connected, and under this pattern, above three subsystems only provide whole function services towards separate unit motor vehicle.
Four, accompanying drawing explanation
In order to the technical scheme being illustrated more clearly in the embodiment of the present invention, below the accompanying drawing that embodiment describes required use is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings, wherein:
Fig. 1 is the overall structure block diagram of the intelligent training system of vehicle driver of the present invention.
Fig. 2 is the installation and deployment structure block diagram of the intelligent training system of vehicle driver of the present invention. Wherein, Fig. 2 a is that the network edition disposes issuing mode, and Fig. 2 b is that bicycle version disposes issuing mode.
Fig. 3 is that the intelligent training system " vehicle intelligent training subsystem " of vehicle driver of the present invention disposes figure.
Five, embodiment
It is clearly and completely described to the technical scheme in the embodiment of the present invention below, it is clear that described embodiment is only a part of embodiment of the present invention, instead of whole embodiments. Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Referring to Fig. 1, " the intelligent training system of a kind of vehicle driver based on actual motor vehicle " of the present invention comprises vehicle intelligent training subsystem 100, data process subsystem 200, runs management and control subsystem 300, system level data communication subsystem 400 4 parts.
Referring to Fig. 1, " the intelligent training system of a kind of vehicle driver based on actual motor vehicle " can adopt the network edition and bicycle version two kinds to dispose issuing mode. Wherein: 1. under the network edition disposes issuing mode, as shown in Figure 2 a, vehicle intelligent training subsystem 100 can be deployed on multiple motor vehicle simultaneously, and data process subsystem 200 and operation management and control subsystem 300 are deployed in different separate central servers respectively or are jointly deployed on a central server. Set up bidirectional data communication in a wired or wireless fashion by system level data communication subsystem 400 between three to connect. Now, data process subsystem 200 trains subsystem to provide data sink, data storage, data query, data analysis and data delivery service towards multiple vehicle intelligent simultaneously; Run management and control subsystem 300 and the operation management and control function to multiple stage motor vehicle is provided. 2. under bicycle version disposes issuing mode, as shown in Figure 2 b, vehicle intelligent training subsystem 100, data process subsystem 200, vehicle management and control subsystem 300 are concentrated and are deployed on one or more truck-mounted computer on same motor vehicle, set up bidirectional data communication by system level data communication subsystem 400 and connect in the way of wire/wireless (when being deployed in respectively when three subsystems on 2 or 3 computers) or internal processes call (when three sub-system deployment are on same computer). Now, " the intelligent training system of vehicle driver based on actual motor vehicle " of the present invention only provides whole function services towards separate unit motor vehicle.
As shown in Figure 3, described vehicle intelligent training subsystem 100 comprises vehicle-mounted control computer 101, driver's operation behavior and vehicle-state sensing module 102, vehicle pose and track sensing module 103, driver's head pose sensing module 104, intelligent driver training teaching performs and Decision-Making Evaluation module 105, multi-media 3D virtual reality human-computer interaction module 106, ground, digital intelligent place module 107, driver training data gathering reporting module 108, vehicle safety control module 109, vehicle intelligent training subsystem level communication module 110, wherein, driver's operation behavior and vehicle-state sensing module 102, vehicle pose and track sensing module 103, the video collector 1041 of driver's head pose sensing module 104, the touch display screen 1061 of vehicle safety control module 109 and multi-media 3D virtual reality human-computer interaction module 106 is connected with vehicle intelligent training subsystem 100 in a wired or wireless fashion by vehicle intelligent training subsystem level communication module 110 and realizes two-way information interaction, the software part 1042 of driver's head pose sensing module 104, the software part 1062 of multi-media 3D virtual reality human-computer interaction module 106, and intelligent driver training teaching performs and Decision-Making Evaluation module 105, ground, digital intelligent place module 107, driver training data gathering reporting module 108 module operates on the truck-mounted computer 101 of vehicle intelligent training subsystem 100.
Described vehicle-mounted control computer 101 is the main operation platform of vehicle intelligent training subsystem 100, it is possible to adopt general portable computer, industrial control computer and other computer equipment that can meet system performance requirement.
Described driver's operation behavior and vehicle-state sensing module 102 passage are deployed in the sensor of vehicle different sites and data acquisition unit can reflect that driver operates the behavior of vehicle, vehicle by manipulating the information of state residing for parts and vehicle operating parameters in real time, comprising: left and right turn lamp switch status information, steering wheel angle information, the speed of a motor vehicle, vehicle acceleration, motor speed, parking braking device switch state, range state, car horn airing of views state and airing of views time length etc. Driver's operation behavior and vehicle-state sensing module 102 by the vehicle operating status information that collects by wired or wireless passage or inner integration calling mode, it is sent to vehicle-mounted control computer 101, trains the correlation module of subsystem 100 to call for vehicle intelligent.
Described vehicle pose and track sensing module 103 obtain position place, road of vehicle reference point and reference axis and attitude information from station-keeping system, and then calculate the direction angle of the physical location of vehicle ' s contour border in place, road and vehicle forward direction, and the correlation module being supplied to vehicle intelligent training subsystem 100 calls.
Described driver's head pose sensing module 104 obtains driver's head image by being arranged on the camera of vehicle cab correct position, by the image procossing of driver's head specific identifier being calculated the head pose of driver, and then identify eye to the front, left side head observes rear vision mirror, right side head observes rear vision mirror, later observe rear view of vehicle, bow and the action pose such as see shelves position, face upward head, that head stretches out vehicle window is outer, and recognition result is reported and submitted in real time to intelligent driver training teaching and performs and Decision-Making Evaluation module 105.
Described intelligent driver training teaching performs the embodiment with Decision-Making Evaluation module 105 and is described below:
(1) installation and operation platform: module 105 is arranged on truck-mounted computer 101.
(2) teaching pattern: module 105, in teaching pattern, adopts the intellectuality with closed loop feedback, multi-modal interaction formula teaching pattern. In the design of teaching and training exchange channels, multimedia video, voice and three-dimension interaction graphical interfaces is adopted to build intelligent, interactive teaching environment; In teaching logic control, first the teaching guidance system of module 105 instructs driver to carry out training and operation according to course teaching steering logic, simultaneously, according to the signal that driver's operation behavior and vehicle-state sensing module 102, vehicle pose and track sensing module 103, driver's head pose sensing module 104 are fed back, again according to the intelligent logical of design in knowledge base, the driving behavior of driver is identified, and make feedback response further, intellectuality instructs driver to carry out subsequent operations or adjustment, thus realizes interactive intelligent tutoring.
(3) course content design: module 105, in training course content design, is covered student and drives Motor vehicles skillfully, safely and the training course of required knowledge and skills of being taken an examination by all kinds of driving license.
(4) skill and technique of imparting knowledge to students design: module 105 is in the design of teaching skill and technique, have employed gradual scheme, help student from the easier to the more advanced, from simple to complex progressive grasps driving knowledge and skills: first, the preliminary explanation of operation item is carried out in multimedia teaching video mode, and based on three-dimensional digital virtual reality scenario, hints on operation is explained in detail; Subsequently, by step, detailed guidance driver operates, and makes intelligent interactive and feedback according to the driver's operational circumstances obtained, and corrects driver's mal-operation, analyzes driver's mistake reason, reminds driver to carry out next step and operates; Afterwards, independently operating by driver, operating process is monitored by system, when finding wrong-way, reminds driver to be made mistakes and corrective action in time; Finally, enter the mock examination stage, driver completely independently carries out driver behavior, system does not provide any indicative information in operation, Quantitative marking is provided according to standard test criterion after operation completes, judge whether driver skillfully grasps motor vehicle driving technical ability, and provide the conclusion whether mock examination is passed through.
(5) visual feedback functional design: in Student Training's process; the trace information that student operates vehicle carries out gathering and stores; after student completes driver behavior; track data is sent to multi-media 3D virtual reality human-computer interaction module 106 and carries out visual trace playback, to help Problems existing in student's analysis operation.
(6) intelligent analysis Function of Evaluation design: module 105 have also been devised the function of the evaluation and application that driver operates vehicle track. The parameter that can transmit according to driver's operation behavior and vehicle-state sensing module 102, vehicle pose and track sensing module 103, driver's head pose sensing module 104 etc., in conjunction with place or road electronics map, judge that driver drives reasonableness, the compliance of behavior. Further, knowledge based storehouse, identifies the existing problems and the causes in driving procedure, provides intelligent feedback opinion and analysis report.
Described multi-media 3D virtual reality human-computer interaction module 106 have employed the technology that digitizing vehicle model combines with numeral scene map on realization mechanism, first the 3D hologram digital simulation model of motor vehicle is established, digital simulation model is in physical dimension, profile, material, color, and internal space and component (bearing circle, dashboard, seat, front-rear windshield glass, glass for vehicle window, front and back wiper, left-hand mirror, middle rear vision mirror, right rear view mirror, shelves position, gas pedal, clutch pedal, brake pedal, parking braking device, wheel) etc. details aspect and actual motor vehicle be consistent completely. and then vehicle number word model is implanted in the three-dimensional scenic based on place electronics map structuring, it is to construct go out the virtual reality interaction scenarios based on many windows. based on the virtual reality interaction scenarios of many windows, each provide the multiple visual angle scenes such as surface, outside is overlooked, outside back upper place is overlooked, inner driver's eyes visual angle, and, synchronization simulation display real-time, complete with the real scene maintenance residing for driver and vehicle. by three-dimension virtual reality scene, module 106 devises the synchronous guiding function of explanation of the virtual reality interaction scenarios based on many windows, carry out in the process of explaining operation in intelligent driver training teaching execution and Decision-Making Evaluation module 105, synchronous broadcasting is based on the standard operation process of many windows virtual reality interaction scenarios, simultaneously, synchronously being highlighted by relevant factor mentioned in explanation and show and glimmer, the help driver that undergoes training accurately understands hints on operation.
Described ground, digital intelligent place module 107 provides the mapping to motor vehicle driving training site map, road-map, vehicle standard track, vehicle appearance profile and management function. In place and road mapping, utilize station-keeping system to gather the volume coordinate of the every facility in place, road, subject and relevant factor, and then pass through the storage to coordinate and process, it is achieved to the digitized description of motor vehicle driving place, road etc. To motor vehicle driving standard track gather with record in, utilize and be arranged on the motion trace data that station-keeping system on vehicle obtains vehicle, thus carry out collection and the record of standard driving trace; In the implementation of the mapping function to motor vehicle profile border, by gathering the vehicle body profile frontier point coordinate of station-keeping system feedback, draw vehicle body profile electronics map.
Described driver training data gathering reporting module 108 can gather the process data of vehicle driver between training period, comprises trainee, training mission, time opening, end time, the actual track of vehicle, training result etc.; On data gathering realization mechanism, for information such as trainee, training mission, time opening, end time, training results, module 108 is by performing the inside data integration acquisition with Decision-Making Evaluation module 105 with intelligent driver training teaching; The vehicle driver training process data upload collected is carried out unifying storage and management by module 108 to data process subsystem;
Described vehicle safety control module 109 is responsible for vehicle and system cloud gray model are carried out safety control. Module 109 is by the manipulation status information of the integrated real-time acquisition vehicle with driver's operation behavior and vehicle-state sensing module 102, vehicle pose and track sensing module 103, and carry out the control of intelligent and safe initiatively according to the risk control rule set in advance, when vehicle performance state reaches the precarious position of regulation, according to hazard level, automatically make suitable safety response and measure of control, comprising: reduce car speed, cut off oil circuit, brake vehicle, stop vehicle operation etc.; Module 109 and run between management and control subsystem 300 and also establish data cube computation, receives, according to the form of agreement, the steering order that self-operating management and control subsystem sends, vehicle is carried out management and control.
Described data process subsystem 200 is structured on general database platform, realize Multimedia Teaching Courseware resource, place electronics map, drivers information, vehicle information, drive the training Back ground Information such as mechanism information and manage, also can receive the functions such as vehicle intelligent training subsystem 100 is undertaken by the training process data that system level data communication subsystem 400 reports receiving, storage and management.
Vehicle operating and running status can be carried out monitor in real time by described operation management and control subsystem 300, trained and manipulation data by the vehicle that system level data communication subsystem 400 transmits by receiving vehicle intelligent training subsystem 100, the position of Dynamic Announce vehicle on training site and movable information on screen, and vehicle operating parameters; Run management and control subsystem 300 and realize the Long-distance Control to vehicle by the data link set up between vehicle safety management and control module 109.
Described system level data communication subsystem 400 builds data link based on general local area network or Wide area network communication technology, with the data interaction demand supporting vehicle intelligent training subsystem 100, data process subsystem 200, run between management and control subsystem 300. The network communication technology that can use includes but not limited to the various ways such as garden WLAN (wireless local area network), cable LAN, telecommunications broadband, 2G/3G/4G mobile network, wireless station.

Claims (16)

1. the intelligent training system of the vehicle driver based on actual motor vehicle, it is characterised in that:
The intelligent training system of described vehicle driver comprises vehicle intelligent training subsystem, data process subsystem, operation management and control subsystem and system level data communication subsystem;
Described vehicle intelligent training subsystem is installed on actual motor vehicle, reports driver's training process data for driver carries out interactive driver training and collection;
Back ground Information is managed by described data process subsystem, for receiving, store and process the described vehicle intelligent training training process data that report of subsystem collection;
Described operation management and control subsystem is operated by vehicle and running status carries out monitor in real time, and according to practical situation, vehicle to be monitored is carried out system and automatically manipulate or artificial remote control;
Described vehicle intelligent training subsystem is connected by system level data communication subsystem and data process subsystem and operation management and control subsystem and realizes two-way information mutual communication.
2. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 1, it is characterized in that: described vehicle intelligent training subsystem comprises vehicle-mounted control computer, driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, driver's head pose sensing module, intelligent driver training teaching performs and Decision-Making Evaluation module, multi-media 3D virtual reality human-computer interaction module, ground, digital intelligent place module, driver training data gathering reporting module, vehicle safety control module and vehicle intelligent training subsystem level communication module, described driver's head pose sensing module comprises video collector and software part, and described multi-media 3D virtual reality human-computer interaction module comprises touch display screen and software part.
3. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 2, it is characterised in that: described driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, vehicle safety control module, video collector and touch display screen are connected with vehicle-mounted control computer by wired or wireless mode and realize two-way information interaction; Described head pose sensing module software part, multi-media 3D virtual reality human-computer interaction module software part and intelligent driver training teaching perform to operate on vehicle-mounted control computer with Decision-Making Evaluation module, ground, digital intelligent place module, driver training data gathering reporting module.
4. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterized in that: described driver's operation behavior and vehicle-state sensing module passage are deployed in the sensor of vehicle different sites and data acquisition unit collection can reflect that driver operates the behavior of vehicle, vehicle is manipulated the information of state residing for parts and vehicle operating parameters, and the information collected is sent to vehicle-mounted control computer in real time.
5. the intelligent training system of the vehicle driver based on real car according to claim 4, it is characterised in that: the described at least one item that can reflect in real time in the following information of information that behavior that driver operates vehicle, vehicle are manipulated state residing for parts and vehicle operating parameters: left and right turn lamp switch status information, steering wheel angle information, the speed of a motor vehicle, vehicle acceleration, motor speed, parking braking device switch state, range state, car horn airing of views state and airing of views time length.
6. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterized in that: described vehicle pose and track sensing module obtain position in place, road of vehicle reference point and reference axis and attitude information by station-keeping system, and then calculate the direction angle of the physical location of vehicle ' s contour border in place, road and vehicle forward direction.
7. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterized in that: described driver's head pose sensing module obtains driver's head image by camera, by the image procossing of driver's head specific identifier being calculated the head pose of driver, and then identify and eye to the front, left side head observes rear vision mirror, right side head observes rear vision mirror, later observe rear view of vehicle, bow and see shelves position, face upward head, action pose is waited outside head is stretched out vehicle window, and recognition result is reported and submitted in real time to intelligent driver training teaching execution and Decision-Making Evaluation module.
8. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterised in that:
1) described intelligent driver training teaching performs to be installed in vehicle-mounted control computer with Decision-Making Evaluation module, with multimedia video, voice and three-dimension interaction graphical interfaces mode provide motor vehicle driving training course for driver, driver is instructed to carry out training and operation, and according to driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, the feedback signal of driver's head pose sensing module, knowledge based storehouse identifies the driving behavior of driver, realize autonomous response, driver is instructed to carry out subsequent operations or adjustment, realize interactive intelligent tutoring,
2) described intelligent driver training teaching is performed to provide driver with Decision-Making Evaluation module and drives Motor vehicles and the training course of required knowledge and skills of being taken an examination by driving license at different levels;
3) described intelligent driver training teaching performs to provide advanced formula to train stage by stage with Decision-Making Evaluation module, helps the progressive grasp of driver to drive knowledge and skills; Wherein: first, carry out the preliminary explanation of operation item in multimedia teaching video mode, and based on three-dimensional digital virtual reality scenario, hints on operation is explained in detail; Subsequently, by step, detailed guidance driver operates, and makes intelligent interactive and feedback according to the driver's operational circumstances obtained, and corrects driver's mal-operation, analyzes driver's mistake reason, reminds driver to carry out next step and operates; Afterwards, independently operating by driver, operating process is monitored by system, when finding wrong-way, reminds driver to be made mistakes and corrective action in time; Finally, enter the mock examination stage, driver completely independently carries out driver behavior, system does not provide any indicative information in operation, Quantitative marking is provided according to standard test criterion after operation completes, judge whether driver skillfully grasps motor vehicle driving technical ability, and provide the conclusion whether mock examination is passed through;
4) described intelligent driver training teaching execution can in driver's operating process with Decision-Making Evaluation module, real-time collection vehicle trace information is also stored in data process subsystem, complete after driver behavior until driver, driver's operation trace is carried out playback, auxiliary driver looks back driving procedure, searches Problems existing in operation;
5) parameter that described intelligent driver training teaching performs and Decision-Making Evaluation module can transmit according to driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, driver's head pose sensing module etc., in conjunction with place or road electronics map, judge that driver drives reasonableness, the compliance of behavior. Further, knowledge based storehouse, identifies the existing problems and the causes in driving procedure, provides intelligent feedback opinion and analysis report.
9. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterised in that:
1) described multi-media 3D virtual reality human-computer interaction module sets up the 3D hologram digital simulation model of motor vehicle, described digital simulation model is consistent completely with true border Motor vehicles in the details such as physical dimension, profile, material, color, internal space and component, and wherein component comprise bearing circle, dashboard, seat, front-rear windshield glass, glass for vehicle window, front and back wiper, left-hand mirror, middle rear vision mirror, right rear view mirror, shelves position, gas pedal, clutch pedal, brake pedal, parking braking device, wheel etc.;
2) described multi-media 3D virtual reality human-computer interaction module is based on the virtual reality interaction scenarios of many windows, each provide the multiple visual angle scenes such as surface, outside is overlooked, outside back upper place is overlooked, inner driver's eyes visual angle, and, synchronization simulation display real-time, complete with the real scene maintenance residing for driver and vehicle;
3) described multi-media 3D virtual reality human-computer interaction module can realize the synchronous guide of explanation based on the virtual reality interaction scenarios of many windows, carry out in the process of explaining operation in intelligent driver training teaching execution and Decision-Making Evaluation module, synchronous broadcasting is based on the standard operation process of many windows virtual reality interaction scenarios, simultaneously, synchronously being highlighted by relevant factor mentioned in explanation and show and glimmer, the help driver that undergoes training accurately understands hints on operation.
10. the intelligent training system of the vehicle driver based on actual motor vehicle according to claim 3, it is characterised in that:
1) motor vehicle driving place, road etc. can be carried out map mapping and management by ground, described digital intelligent place module, by the collection of the volume coordinate to the every facility in place, road, subject and relevant factor, store and process, it is achieved to the digitized description of motor vehicle driving place, road etc.;
2) the standard driving trace of all kinds of motor vehicle on subject, place and road can be gathered and record by ground, described digital intelligent place module;
3) motor vehicle profile border can be surveyed and drawn by ground, described digital intelligent place module, draws vehicle body profile electronics map.
The intelligent training system of 11. vehicle drivers based on actual motor vehicle according to claim 3, it is characterised in that:
1) described driver training data gathering reporting module gathers the process data of vehicle driver between training period, comprises at least one item in following information: trainee, training mission, time opening, end time, the actual track of vehicle, training result;
2) the vehicle driver training process data upload collected is carried out unifying storage and management by described driver training data gathering reporting module to data process subsystem.
The intelligent training system of 12. vehicle drivers based on actual motor vehicle according to claim 3, it is characterised in that:
1) the vehicle performance status information that described vehicle safety control module transmits based on driver's operation behavior and vehicle-state sensing module, vehicle pose and track sensing module, carry out the control of intelligent and safe initiatively, when vehicle performance state reaches the precarious position of regulation, according to hazard level, automatically make suitable safety response and measure of control;
2) described vehicle performance state reaches the situation of the precarious position of regulation, comprises at least one item in following state: when vehicle rolls the running region of regulation away from; When speed or acceleration exceed secure threshold; When reaching harmful grade apart from the distance of pedestrian or other obstacles;
3) safety that described vehicle safety control module is made automatically responds and measure of control, comprises at least one item in following measure: reduce car speed, cut-out oil circuit, braking vehicle, stop vehicle operation;
4) described vehicle safety control module can receive the instruction that self-operating management and control subsystem transmits, make corresponding safety response and measure of control, comprise at least one item in following measure: reduction car speed, cut-out oil circuit, braking vehicle, stop vehicle run or restart vehicle operating.
The intelligent training system of 13. vehicle drivers based on actual motor vehicle according to claim 1, it is characterized in that: the information such as Multimedia Teaching Courseware resource, place electronics map, drivers information, learner-driven vehicle information, Jia Pei mechanism are managed by described data process subsystem, the training process data simultaneously training subsystem collection to report vehicle intelligent receive, storage and management.
The intelligent training system of 14. vehicle drivers based on actual motor vehicle according to claim 1, it is characterized in that: described operation management and control subsystem is operated by vehicle and running status carries out monitor in real time, by receiving vehicle training and the manipulation data that vehicle intelligent training subsystem transmits, the position of Dynamic Announce vehicle on training site and road and movable information on screen, and vehicle operating parameters; System can make corresponding Long-distance Control measure when necessary automatically according to the rule of setting, also supports that monitor staff manually performs corresponding Long-distance Control measure when necessary; Long-distance Control measure comprises at least one item in following measure: reduces car speed, cut-out oil circuit, braking vehicle, stop vehicle operation or restarts vehicle operating.
The 15. intelligent training systems of the vehicle driver based on actual motor vehicle according to the arbitrary item of claim 1-14, it is characterized in that: the intelligent training system of described vehicle driver adopts the network edition to dispose issuing mode, in this mode, described vehicle intelligent training subsystem is deployed on multiple stage learner-driven vehicle simultaneously, and described data process subsystem and described operation management and control subsystem are deployed in different central servers respectively or are jointly deployed on a central server; Described data process subsystem trains subsystem to provide data sink, data storage, data query, data analysis and data delivery service towards multiple vehicle intelligent simultaneously; Multiple stage learner-driven vehicle can be carried out management and control by described operation management and control subsystem simultaneously.
The 16. intelligent training systems of the vehicle driver based on actual motor vehicle according to the arbitrary item of claim 1-14, it is characterized in that: the intelligent training system of described vehicle driver adopts bicycle version to dispose issuing mode, in this mode, described vehicle intelligent training subsystem, described data process subsystem, described operation management and control subsystem is concentrated on one or more truck-mounted computer being deployed on same learner-driven vehicle, by wired, the mode that wireless or internal processes calls is set up bidirectional data communication and is connected, under this pattern, above three subsystems only provide whole function services towards separate unit learner-driven vehicle.
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Cited By (68)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106027792A (en) * 2016-06-30 2016-10-12 大连楼兰科技股份有限公司 System and method for intelligent assisted car learning based on OBD terminal
CN106157746A (en) * 2016-08-26 2016-11-23 北京大象科技有限公司 The emulation wire examination method of train driving and system in a kind of urban track traffic
CN106251386A (en) * 2016-07-29 2016-12-21 广东小天才科技有限公司 Sketch learning method and system based on virtual reality
CN106297490A (en) * 2016-11-09 2017-01-04 上海海积信息科技股份有限公司 Driving instruction device and method
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CN106377898A (en) * 2016-10-12 2017-02-08 大连文森特软件科技有限公司 VR flight game production and experience system based on visual programming
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CN106652643A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 Driving training simulation system based on virtual reality technology
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CN106652644A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 VR driving assessment project production and experience system based on visual programming
CN106648060A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 A real-time monitoring system for vehicle driving training actions based on virtual reality technology
CN106651702A (en) * 2016-12-30 2017-05-10 安徽宝信信息科技有限公司 Intelligent voice driving training system
CN106781825A (en) * 2017-02-20 2017-05-31 上海斐讯数据通信技术有限公司 A kind of drive manner and system based on cloud computing
CN106814850A (en) * 2016-12-03 2017-06-09 西安科锐盛创新科技有限公司 Simulated flight operation test system and method for testing based on sight line track
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CN106846984A (en) * 2016-10-31 2017-06-13 安徽国华光电技术有限公司 A kind of examination management central three-dimensional electronic map system of vehicle driver subject three
CN106875781A (en) * 2017-03-16 2017-06-20 南京多伦科技股份有限公司 A kind of intelligent robot trains auxiliary driving method and its system
CN106898159A (en) * 2017-03-23 2017-06-27 奇瑞汽车股份有限公司 Learner-driven vehicle spacing early warning system and its method for early warning
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CN113015673A (en) * 2018-11-15 2021-06-22 雅马哈发动机株式会社 Straddle-type vehicle travel data processing device, straddle-type vehicle travel data processing method, and straddle-type vehicle travel data processing program
CN113050501A (en) * 2021-03-24 2021-06-29 上海海事大学 Workshop virtual monitoring system and service terminal
CN113257054A (en) * 2020-02-13 2021-08-13 卡特彼勒公司 Remote training system and method
CN113627760A (en) * 2021-07-30 2021-11-09 青岛沃华软控有限公司 Unmanned automatic loading and unloading production system for oil phase
CN114119301A (en) * 2021-11-03 2022-03-01 支付宝(杭州)信息技术有限公司 Self-learning vehicle processing method and device based on shared vehicle
CN114241850A (en) * 2021-12-24 2022-03-25 浙江金融职业学院 Virtual reality all-in-one machine for driving training
CN114360321A (en) * 2021-11-09 2022-04-15 易显智能科技有限责任公司 Hand action sensing system, training system and training method for motor vehicle driver
CN114419948A (en) * 2022-03-30 2022-04-29 湖南高铁时代数字化科技有限公司 Data processing method and system of rail transit power supply virtual reality teaching system
CN114613230A (en) * 2022-03-28 2022-06-10 北京太合瑞至科技有限公司 Intelligent identification and control method and system for driving training teaching point location
CN114639286A (en) * 2022-03-28 2022-06-17 北京太合瑞至科技有限公司 Intelligent recognition and control method and device for trainee driving error
US11721234B2 (en) 2020-10-14 2023-08-08 GM Global Technology Operations LLC Methods and systems to autonomously train drivers
CN117456797A (en) * 2023-12-26 2024-01-26 成都运达科技股份有限公司 Method, system and storage medium for simulating driving training connection
CN118887061A (en) * 2024-10-08 2024-11-01 易显智能科技有限责任公司 Training assistance method and system based on two-way information feedback in driving training
CN119151484A (en) * 2024-11-19 2024-12-17 易显智能科技有限责任公司 Real-time intelligent teaching method and system for driving training full scene behavior

Families Citing this family (82)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106935096A (en) * 2017-05-18 2017-07-07 重庆电子工程职业学院 A kind of Industry Control virtual reality practice teaching platform and its operating method
CN106960612B (en) * 2017-05-24 2019-08-16 电子科技大学 One kind seeing vehicle and test ride simulation system and method based on VR
US10259468B2 (en) * 2017-06-15 2019-04-16 Hitachi, Ltd. Active vehicle performance tuning based on driver behavior
CN107248205A (en) * 2017-06-29 2017-10-13 苏州见真物联科技有限公司 A kind of rent-a-car remote monitoring system
CN107240336A (en) * 2017-07-05 2017-10-10 安徽嘻哈网络技术有限公司 A kind of network edition robot electronic coach intelligentized system of teaching and learning integrated host
CN107392585A (en) * 2017-07-19 2017-11-24 惠州市博实结科技有限公司 A kind of method and device of vehicle operation
JP2019034575A (en) * 2017-08-10 2019-03-07 オムロン株式会社 Driver state recognition apparatus, driver state recognition system, and driver state recognition method
CN107316542A (en) * 2017-08-15 2017-11-03 南京多伦科技股份有限公司 A kind of on-vehicle control apparatus and system for being applied to Driving Test, driving training
CN107589434A (en) * 2017-08-23 2018-01-16 西安中阔卫星技术应用有限责任公司 A kind of automatic apparatus and method for obtaining and recording real road graticule gps coordinate
CN107719376B (en) * 2017-09-18 2019-10-29 清华大学 Man-machine mixing enhancing intelligent driving system and electric car
CN107545803B (en) * 2017-09-19 2019-12-10 浙江大学 An intelligent coaching system for driving training
CN107527531A (en) * 2017-09-19 2017-12-29 浙江大学 A kind of intelligent distributed shared network system of drive simulation training
CN107622318A (en) * 2017-10-11 2018-01-23 杭州拓叭吧科技有限公司 A kind of operation platform and method for running that training is preengage for Driving Test student
CN108256410A (en) * 2017-11-01 2018-07-06 山东万正网络科技有限公司 A kind of anti-cheating timekeeping system and method for learner-driven vehicle
US10572745B2 (en) * 2017-11-11 2020-02-25 Bendix Commercial Vehicle Systems Llc System and methods of monitoring driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device
CN108021991B (en) * 2017-11-14 2021-05-18 歌尔科技有限公司 Method and device for acquiring instrument information
CN109835410B (en) * 2017-11-28 2022-02-01 湖南中车时代电动汽车股份有限公司 Method for extracting experience data of vehicle running and related device
DE102017222534B3 (en) * 2017-12-12 2019-06-13 Volkswagen Aktiengesellschaft A method, computer readable storage medium having instructions, apparatus, and system for gauging augmented reality goggles in a vehicle, vehicle suitable for the method, and augmented reality goggles suitable for the method
CN108053694A (en) * 2017-12-29 2018-05-18 杭州百子尖科技有限公司 The system and method for Safe production of chemical industry simulation and training based on virtual augmented reality
CN108510832A (en) * 2018-02-27 2018-09-07 王灵境 Unmanned plane driver training system
CN109872601B (en) * 2018-03-07 2021-04-27 北京理工大学 A method for generating personalized driving habit training program based on virtual reality
CN108335380B (en) * 2018-04-09 2019-11-26 广州国铭职业技能培训有限公司 A kind of vehicle management system in driving training
CN108665556B (en) * 2018-05-20 2024-03-01 福州市极化律网络科技有限公司 Road indication display method based on mixed reality and storage medium
CN108921973A (en) * 2018-06-11 2018-11-30 合肥越明交通电子科技有限公司 A kind of high-precision intelligent detection early warning system for judging running attitude
US11054638B2 (en) * 2018-06-13 2021-07-06 Reavire, Inc. Tracking pointing direction of device
CN110728875B (en) * 2018-07-16 2022-03-18 西安合众思壮导航技术有限公司 Method and device for simulating vehicle driving
CN110825333B (en) * 2018-08-14 2021-12-21 广东虚拟现实科技有限公司 Display method, display device, terminal equipment and storage medium
CN108877374B (en) * 2018-07-24 2021-03-30 长安大学 Vehicle Queue Simulation System and Method Based on Virtual Reality and Driving Simulator
US11036232B2 (en) * 2018-09-14 2021-06-15 Huawei Technologies Co., Ltd Iterative generation of adversarial scenarios
US11151810B2 (en) * 2018-10-12 2021-10-19 Aurora Flight Sciences Corporation Adaptable vehicle monitoring system
CN109358627A (en) * 2018-10-30 2019-02-19 百度在线网络技术(北京)有限公司 Based on unpiloted driving assistance method, device, equipment, medium and vehicle
CN111123735B (en) * 2018-10-31 2022-09-09 百度在线网络技术(北京)有限公司 Automatic driving simulation operation method and device
CN109326180A (en) * 2018-11-12 2019-02-12 上海易点时空网络有限公司 Intelligent road test system and method
WO2020100267A1 (en) * 2018-11-15 2020-05-22 ヤマハ発動機株式会社 Straddled vehicle traveling data processing device, and straddled vehicle traveling data processing method
CN109584684A (en) * 2018-11-22 2019-04-05 四川中电昆辰科技有限公司 A kind of wisdom driving training system, method and it is applied to wisdom driving training system positioning system
CN109547941A (en) * 2018-11-26 2019-03-29 浙江传媒学院 Virtual experimental system implementation method based on augmented reality
CN109326169A (en) * 2018-11-28 2019-02-12 山东海格尔信息技术股份有限公司 A kind of device and method of detection adjustment automotive seat movement
CN109920297A (en) * 2019-03-27 2019-06-21 南京云巅电子科技有限公司 Assisting driving training system and method based on UWB positioning system
CN109949653A (en) * 2019-03-28 2019-06-28 珠海超凡视界科技有限公司 A kind of driving training data analysis set-up and method
CN110009247B (en) * 2019-04-12 2023-02-03 内蒙古盛邦北斗卫星信息服务有限公司 Coal yard coal storage fine management method and system
CN110136536A (en) * 2019-05-16 2019-08-16 珠海超凡视界科技有限公司 A kind of motor vehicle driving habit culture systems and method based on VR
CN112307806A (en) * 2019-07-25 2021-02-02 深圳爱思普芯科技有限公司 Head posture detection device and method
CN112106017B (en) * 2019-07-29 2025-03-07 深圳市卓驭科技有限公司 Vehicle interaction method, device, system and readable storage medium
RU2718625C1 (en) * 2019-10-08 2020-04-10 Акционерное общество "Научно-исследовательский и проектно-конструкторский институт информатизации, автоматизации и связи на железнодорожном транспорте" Device for safe control of a locomotive
CN110969911A (en) * 2019-12-05 2020-04-07 珠海超凡视界科技有限公司 Intelligent subject two training system and method based on virtual reality
CN111343434B (en) * 2020-03-24 2022-02-22 深圳市赛特雷德科技有限公司 Military vehicle training and examination method, system and device
CN111611647A (en) * 2020-05-05 2020-09-01 李力 Virtual-real interactive vehicle display system and use method thereof
CN111680758B (en) * 2020-06-15 2024-03-05 杭州海康威视数字技术股份有限公司 Image training sample generation method and device
CN111866464B (en) * 2020-07-28 2021-08-24 盐城工业职业技术学院 A remote control system of agricultural tractor based on virtual reality technology
CN111814766B (en) * 2020-09-01 2020-12-15 中国人民解放军国防科技大学 Vehicle behavior early warning method, device, computer equipment and storage medium
CN112270872A (en) * 2020-09-27 2021-01-26 湖南造父驾培网络科技集团有限公司 Digital driving auxiliary learning method
CN112347086B (en) * 2020-09-28 2022-06-21 中电海康集团有限公司 Driving training method and device based on surveying and mapping data enhancement
CN112885185A (en) * 2021-01-22 2021-06-01 内蒙古巨宇测绘有限公司 Driving simulation method and device
CN112837589B (en) * 2021-02-07 2022-11-15 重庆工商大学 Virtual simulation teaching method, device, equipment and readable storage medium
CN112967403A (en) * 2021-02-07 2021-06-15 安徽嘻哈网络技术有限公司 Virtual reality system of driving and cultivating robot management center
CN113112888A (en) * 2021-03-09 2021-07-13 深圳市星锐游戏有限公司 AR real scene interactive simulation driving method
CN113192382A (en) * 2021-03-19 2021-07-30 徐州九鼎机电总厂 Vehicle mobility simulation system and method based on immersive human-computer interaction
CN113112128A (en) * 2021-03-22 2021-07-13 西安华众电子科技股份有限公司 Method for judging fixed-point parking and starting test of ramp
CN113299158B (en) * 2021-05-10 2023-04-18 易显智能科技有限责任公司 Steady teaching method and system for driving
CN113539009A (en) * 2021-06-08 2021-10-22 中兴智能汽车有限公司 Remote driving training platform based on 5G
CN113377083B (en) * 2021-06-16 2022-08-26 洛阳拖拉机研究所有限公司 High-reliability tractor safety control device and control method
CN113400909A (en) * 2021-06-18 2021-09-17 北京百度网讯科技有限公司 Vehicle door, vehicle and driving training system
CN113641169B (en) * 2021-06-30 2023-10-20 东风汽车集团股份有限公司 Driving simulation system
CN113393733A (en) * 2021-07-14 2021-09-14 武汉市新胜赢机动车驾驶员培训有限公司 Training system and method for training motor vehicle driver
CN114051116A (en) * 2021-08-30 2022-02-15 武汉未来幻影科技有限公司 Video monitoring method, device and system for driving test vehicle
CN115394147A (en) * 2021-10-29 2022-11-25 上海林怀网络科技有限公司 Vehicle simulated driving training system and using method thereof
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CN114627717A (en) * 2022-03-28 2022-06-14 同济大学建筑设计研究院(集团)有限公司 Virtual reality and big data analysis-based novice driver training system
CN114454889B (en) * 2022-04-14 2022-06-28 新石器慧通(北京)科技有限公司 Driving road condition feedback method and device for remote driving and unmanned vehicle
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CN115294830B (en) * 2022-08-09 2024-08-09 武汉未来幻影科技有限公司 Visual field adjusting method and visual field adjusting device of driving simulator and electronic equipment
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CN116540882B (en) * 2023-07-07 2024-02-02 广州市德赛西威智慧交通技术有限公司 Method and device for establishing and controlling driving training element universe and computer storage medium
CN116911697B (en) * 2023-09-13 2023-11-17 交通运输部公路科学研究所 A method for evaluating online teaching quality
CN117041916B (en) * 2023-09-27 2024-01-09 创意信息技术股份有限公司 Mass data processing method, device, system and storage medium
CN118629284B (en) * 2024-08-02 2024-11-08 徐州九鼎机电总厂 Multi-first-class vehicle train driving tactical simulation training system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1470044A (en) * 1999-02-26 2004-01-21 ض� Operator training system
WO2009016357A2 (en) * 2007-08-01 2009-02-05 Airmax Group Plc Method and apparatus for providing information about a vehicle
CN101419757A (en) * 2008-06-10 2009-04-29 上海沪江虚拟制造技术有限公司 Fast detachable virtual and practical two purposed driving simulating system
CN101923793A (en) * 2010-07-27 2010-12-22 中兴通讯股份有限公司 Method and system for realizing driving simulation
JP2012155285A (en) * 2011-01-28 2012-08-16 Osaka Prefecture Univ Drive hazard predictive learning support system
CN202904922U (en) * 2012-09-26 2013-04-24 中国人民解放军军事交通学院 Driving test automation device based on global positioning system
CN103426338A (en) * 2013-09-05 2013-12-04 北京汽车股份有限公司 Automobile driving test simulating system
CN104580327A (en) * 2013-10-29 2015-04-29 上海沐风数码科技有限公司 3G network-based internet-of-vehicle intelligent terminal and implementation method thereof
CN105006186A (en) * 2015-07-26 2015-10-28 湖北汽车工业学院 Internet-based intelligent holo-authentic simulation system for learning driving

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7424414B2 (en) * 2003-09-05 2008-09-09 Road Safety International, Inc. System for combining driving simulators and data acquisition systems and methods of use thereof
CN201285609Y (en) * 2008-09-16 2009-08-05 鲁东大学 Electronic training apparatus for automobile pile backing and garage shifting
CN101734241A (en) * 2008-11-10 2010-06-16 上海迪哈大计算机科技有限公司 Control device and method for braking in advance in vehicle
CN201965803U (en) * 2011-03-04 2011-09-07 山东工商学院 Car yard road driving-assisting instruction system
CN103136984B (en) * 2011-11-25 2014-07-30 王恩惠 Driving test system based on global position system (GPS)
CN103247199B (en) * 2013-05-15 2015-03-11 安徽三联交通应用技术股份有限公司 Precise measuring method for moving position and moving gesture of motor vehicle
CN104464438A (en) * 2013-09-15 2015-03-25 南京大五教育科技有限公司 Virtual reality technology-based automobile driving simulation training system
CN103738244B (en) * 2013-12-25 2016-03-30 浙江吉利控股集团有限公司 A kind of vehicular drive bootstrap technique and vehicular drive designating system
CN103971558B (en) * 2014-05-16 2016-04-06 无锡海鸿信息技术有限公司 A kind of vehicle driver training intelligent robot system
CN103985282B (en) * 2014-05-29 2016-07-06 石家庄华燕交通科技有限公司 Driver's examination and training three-dimensional monitor the supervision system of method
CN105015548B (en) * 2015-07-23 2017-10-17 江苏大学 A kind of longitudinal collision avoidance is reminded and follows integrated system and method automatically
CN205003902U (en) * 2015-08-19 2016-01-27 福建凯智信息技术有限公司 Motor vehicle driver skill training electron train system
CN105261225A (en) * 2015-09-30 2016-01-20 肖建辉 Monitoring system for improving driving behavioral habits
CN105279493A (en) * 2015-10-22 2016-01-27 四川膨旭科技有限公司 System for identifying visions of drivers in vehicle running process
CN105844998A (en) * 2016-04-25 2016-08-10 安徽嘻哈网络技术有限公司 Electronic trainer teaching and testing system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1470044A (en) * 1999-02-26 2004-01-21 ض� Operator training system
WO2009016357A2 (en) * 2007-08-01 2009-02-05 Airmax Group Plc Method and apparatus for providing information about a vehicle
CN101419757A (en) * 2008-06-10 2009-04-29 上海沪江虚拟制造技术有限公司 Fast detachable virtual and practical two purposed driving simulating system
CN101923793A (en) * 2010-07-27 2010-12-22 中兴通讯股份有限公司 Method and system for realizing driving simulation
JP2012155285A (en) * 2011-01-28 2012-08-16 Osaka Prefecture Univ Drive hazard predictive learning support system
CN202904922U (en) * 2012-09-26 2013-04-24 中国人民解放军军事交通学院 Driving test automation device based on global positioning system
CN103426338A (en) * 2013-09-05 2013-12-04 北京汽车股份有限公司 Automobile driving test simulating system
CN104580327A (en) * 2013-10-29 2015-04-29 上海沐风数码科技有限公司 3G network-based internet-of-vehicle intelligent terminal and implementation method thereof
CN105006186A (en) * 2015-07-26 2015-10-28 湖北汽车工业学院 Internet-based intelligent holo-authentic simulation system for learning driving

Cited By (81)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106027792A (en) * 2016-06-30 2016-10-12 大连楼兰科技股份有限公司 System and method for intelligent assisted car learning based on OBD terminal
CN106251386A (en) * 2016-07-29 2016-12-21 广东小天才科技有限公司 Sketch learning method and system based on virtual reality
CN107784587A (en) * 2016-08-25 2018-03-09 大连楼兰科技股份有限公司 A Driving Behavior Evaluation System
CN107784587B (en) * 2016-08-25 2021-09-14 大连楼兰科技股份有限公司 Driving behavior evaluation system
CN106157746A (en) * 2016-08-26 2016-11-23 北京大象科技有限公司 The emulation wire examination method of train driving and system in a kind of urban track traffic
CN106448337A (en) * 2016-09-20 2017-02-22 山西省交通科学研究院 VR technology based automobile driving simulation device
CN106648060A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 A real-time monitoring system for vehicle driving training actions based on virtual reality technology
CN106422317A (en) * 2016-10-12 2017-02-22 大连文森特软件科技有限公司 VR equipment fighting game production experience system based on visual programming
CN106571082A (en) * 2016-10-12 2017-04-19 大连文森特软件科技有限公司 VR driving assessment project production and experience system based on online visual programming
CN106652643A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 Driving training simulation system based on virtual reality technology
CN106362403A (en) * 2016-10-12 2017-02-01 大连文森特软件科技有限公司 VR driving game production and experience system based on visual programming
CN106652644A (en) * 2016-10-12 2017-05-10 大连文森特软件科技有限公司 VR driving assessment project production and experience system based on visual programming
CN106377898A (en) * 2016-10-12 2017-02-08 大连文森特软件科技有限公司 VR flight game production and experience system based on visual programming
CN106846984A (en) * 2016-10-31 2017-06-13 安徽国华光电技术有限公司 A kind of examination management central three-dimensional electronic map system of vehicle driver subject three
CN106297490A (en) * 2016-11-09 2017-01-04 上海海积信息科技股份有限公司 Driving instruction device and method
CN106814849B (en) * 2016-12-03 2020-08-14 中信海洋直升机股份有限公司 Simulated flight operation test auxiliary system and method based on eyeball tracking
CN106814850A (en) * 2016-12-03 2017-06-09 西安科锐盛创新科技有限公司 Simulated flight operation test system and method for testing based on sight line track
CN106814849A (en) * 2016-12-03 2017-06-09 西安科锐盛创新科技有限公司 Simulated flight operation test accessory system and method based on eyeball tracking
CN106651702A (en) * 2016-12-30 2017-05-10 安徽宝信信息科技有限公司 Intelligent voice driving training system
CN110226144A (en) * 2017-01-25 2019-09-10 福特全球技术公司 The long-range valet parking of virtual reality
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CN106652642A (en) * 2017-02-27 2017-05-10 武汉科码软件有限公司 Forklift operation training simulator
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CN106898159A (en) * 2017-03-23 2017-06-27 奇瑞汽车股份有限公司 Learner-driven vehicle spacing early warning system and its method for early warning
CN106898159B (en) * 2017-03-23 2019-10-11 奇瑞汽车股份有限公司 Learner-driven vehicle spacing early warning system and its method for early warning
CN108974009B (en) * 2017-06-02 2022-01-04 百度(美国)有限责任公司 Method, medium, and system for automatic driving control
CN108974009A (en) * 2017-06-02 2018-12-11 百度(美国)有限责任公司 Method, medium and system for automatic Pilot control
CN107134195A (en) * 2017-06-26 2017-09-05 上海眼控科技股份有限公司 It is a kind of to be used for the pulling over observing determination methods of intelligent Driving Test
CN107123340B (en) * 2017-06-30 2020-06-05 无锡合壮智慧交通有限公司 Method for automatically detecting observation state of driver
CN107123340A (en) * 2017-06-30 2017-09-01 无锡合壮智慧交通有限公司 A kind of method of automatic detection driver observation state
CN107369356A (en) * 2017-07-28 2017-11-21 武汉依迅北斗空间技术有限公司 Driving training management method and system
CN107316543A (en) * 2017-08-23 2017-11-03 合肥龙图腾信息技术有限公司 A kind of intelligent Driving Test system based on VR technologies
CN107895527A (en) * 2017-11-23 2018-04-10 重庆蓝索创引智能科技有限公司 A kind of automobile driver mock examination training system
CN109857096A (en) * 2017-11-30 2019-06-07 井关农机株式会社 Working truck
CN108053516A (en) * 2017-12-07 2018-05-18 北京星网测通科技有限公司 The method and device of intelligent training examination
CN109552416A (en) * 2017-12-19 2019-04-02 李超 Learner-driven vehicle
CN108109464A (en) * 2017-12-26 2018-06-01 佛山市道静科技有限公司 A kind of shared bicycle learning system based on VR technologies
CN108470485A (en) * 2018-02-07 2018-08-31 深圳脑穿越科技有限公司 Scene-type Training Methodology, device, computer equipment and storage medium
CN108345869B (en) * 2018-03-09 2022-04-08 南京理工大学 Driver gesture recognition method based on depth image and virtual data
CN108345869A (en) * 2018-03-09 2018-07-31 南京理工大学 Driver's gesture recognition method based on depth image and virtual data
CN110322099A (en) * 2018-03-30 2019-10-11 Cae有限公司 The training activity that assessment user carries out in interactive computer simulation
CN108510844A (en) * 2018-04-16 2018-09-07 中国石油大学(华东) A kind of full automatic vehicle driving instruction system
CN108995590A (en) * 2018-07-26 2018-12-14 广州小鹏汽车科技有限公司 A kind of people's vehicle interactive approach, system and device
CN109118874A (en) * 2018-08-31 2019-01-01 苏州竹原信息科技有限公司 A kind of aircraft driving training system and method based on virtual reality
CN113015673A (en) * 2018-11-15 2021-06-22 雅马哈发动机株式会社 Straddle-type vehicle travel data processing device, straddle-type vehicle travel data processing method, and straddle-type vehicle travel data processing program
CN109272822A (en) * 2018-12-07 2019-01-25 中国科学技术大学 Motor vehicle driving training system
CN109743543A (en) * 2018-12-21 2019-05-10 黑龙江工业学院 A computer monitoring device for English teaching
CN109994012A (en) * 2019-01-28 2019-07-09 上海沃凌信息科技有限公司 Immersion cluster interaction training system and its method
CN111666133A (en) * 2019-03-05 2020-09-15 北京图森智途科技有限公司 Vehicle-mounted infrastructure for automatically driving vehicle
CN109920298A (en) * 2019-03-28 2019-06-21 珠海超凡视界科技有限公司 A kind of device and method carrying out subject training based on virtual reality
CN111821695A (en) * 2019-04-19 2020-10-27 上海博泰悦臻网络技术服务有限公司 The driving evaluation method and device, storage medium and terminal based on the map millionaire game
CN110544409A (en) * 2019-10-11 2019-12-06 广州英卓电子科技有限公司 A personalized driver training system and its teaching method
CN110580836A (en) * 2019-10-15 2019-12-17 公安部交通管理科学研究所 MR-based driving emergency response training device and training method
CN111028623A (en) * 2019-12-23 2020-04-17 上海海积信息科技股份有限公司 Driving test learning method and device
CN111445764A (en) * 2020-01-17 2020-07-24 武汉理工大学 Intelligent driving school system for driver road test training and working method
CN111179696A (en) * 2020-01-17 2020-05-19 武汉理工大学 An intelligent driving test system and working method for driver road test
CN113257054B (en) * 2020-02-13 2025-01-28 卡特彼勒公司 Remote training system and method
CN113257054A (en) * 2020-02-13 2021-08-13 卡特彼勒公司 Remote training system and method
CN112215093A (en) * 2020-09-23 2021-01-12 易显智能科技有限责任公司 Method and device for evaluating vehicle driving ability level
US11721234B2 (en) 2020-10-14 2023-08-08 GM Global Technology Operations LLC Methods and systems to autonomously train drivers
CN112348095A (en) * 2020-11-10 2021-02-09 易显智能科技有限责任公司 Method and related device for evaluating safe driving consciousness of driver
CN112329657B (en) * 2020-11-10 2022-07-01 易显智能科技有限责任公司 Method and related device for sensing upper body movement of driver
CN112329657A (en) * 2020-11-10 2021-02-05 易显智能科技有限责任公司 Method and related device for sensing upper body movement of driver
CN112382165A (en) * 2020-11-19 2021-02-19 北京罗克维尔斯科技有限公司 Driving strategy generation method, device, medium, equipment and simulation system
CN112373482A (en) * 2020-11-23 2021-02-19 浙江天行健智能科技有限公司 Driving habit modeling method based on driving simulator
CN113050501A (en) * 2021-03-24 2021-06-29 上海海事大学 Workshop virtual monitoring system and service terminal
CN113627760A (en) * 2021-07-30 2021-11-09 青岛沃华软控有限公司 Unmanned automatic loading and unloading production system for oil phase
CN113627760B (en) * 2021-07-30 2023-11-21 青岛沃华软控有限公司 Unmanned automatic loading and unloading production system for oil phase
CN114119301A (en) * 2021-11-03 2022-03-01 支付宝(杭州)信息技术有限公司 Self-learning vehicle processing method and device based on shared vehicle
CN114119301B (en) * 2021-11-03 2024-08-30 支付宝(杭州)信息技术有限公司 Self-learning vehicle processing method and device based on shared vehicle
CN114360321A (en) * 2021-11-09 2022-04-15 易显智能科技有限责任公司 Hand action sensing system, training system and training method for motor vehicle driver
CN114241850A (en) * 2021-12-24 2022-03-25 浙江金融职业学院 Virtual reality all-in-one machine for driving training
CN114639286A (en) * 2022-03-28 2022-06-17 北京太合瑞至科技有限公司 Intelligent recognition and control method and device for trainee driving error
CN114613230A (en) * 2022-03-28 2022-06-10 北京太合瑞至科技有限公司 Intelligent identification and control method and system for driving training teaching point location
CN114419948A (en) * 2022-03-30 2022-04-29 湖南高铁时代数字化科技有限公司 Data processing method and system of rail transit power supply virtual reality teaching system
CN117456797A (en) * 2023-12-26 2024-01-26 成都运达科技股份有限公司 Method, system and storage medium for simulating driving training connection
CN117456797B (en) * 2023-12-26 2024-03-15 成都运达科技股份有限公司 Method, system and storage medium for simulating driving training connection
CN118887061A (en) * 2024-10-08 2024-11-01 易显智能科技有限责任公司 Training assistance method and system based on two-way information feedback in driving training
CN118887061B (en) * 2024-10-08 2024-12-03 易显智能科技有限责任公司 Training assistance method and system based on two-way information feedback in driving training
CN119151484A (en) * 2024-11-19 2024-12-17 易显智能科技有限责任公司 Real-time intelligent teaching method and system for driving training full scene behavior
CN119151484B (en) * 2024-11-19 2025-03-04 易显智能科技有限责任公司 Real-time intelligent teaching method and system for all-scenario driving training behaviors

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Application publication date: 20160608