WO2022109811A1 - Système d'enseignement de conduite et son procédé d'utilisation, dispositif de commande et support de stockage lisible par ordinateur - Google Patents

Système d'enseignement de conduite et son procédé d'utilisation, dispositif de commande et support de stockage lisible par ordinateur Download PDF

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WO2022109811A1
WO2022109811A1 PCT/CN2020/131251 CN2020131251W WO2022109811A1 WO 2022109811 A1 WO2022109811 A1 WO 2022109811A1 CN 2020131251 W CN2020131251 W CN 2020131251W WO 2022109811 A1 WO2022109811 A1 WO 2022109811A1
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driving
user
ability
teaching system
dimensional
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PCT/CN2020/131251
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Chinese (zh)
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曹庆恒
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曹庆恒
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Priority to PCT/CN2020/131251 priority Critical patent/WO2022109811A1/fr
Priority to CN202080002945.0A priority patent/CN112655006A/zh
Publication of WO2022109811A1 publication Critical patent/WO2022109811A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • G06Q50/2053—Education institution selection, admissions, or financial aid

Definitions

  • the present invention relates to the technical field of teaching equipment, and in particular, to a driving teaching system and a method for using the same, driving equipment, and a computer-readable storage medium.
  • the main purpose of the present invention is to provide a driving teaching system and its using method, driving equipment, and computer-readable storage medium, which can analyze and evaluate the multi-dimensional driving ability of the user by establishing the evaluation standard of the driving multi-dimensional ability and obtaining the relevant data of the user's driving. , which can tailor a suitable driving teaching plan for the user according to the user's personal situation, and provide standardized guidance reminders and corrections during the practice process, so that the user can learn various driving more efficiently, conveniently and at low cost.
  • the present invention provides a driving teaching system
  • the driving teaching system includes: a data acquisition module, an analysis module and a database module,
  • the data acquisition module is used to acquire relevant data of the user's driving
  • the database module is used to store the driving multi-dimensional capability database and the user's personal driving database, the driving multi-dimensional capability database includes the evaluation criteria of the driving multi-dimensional capability, and the user's personal driving database stores the user's personal driving-related information;
  • the analysis module is used for evaluating the multi-dimensional driving ability of the user by analyzing the relevant data of the user's driving and/or recommending a driving teaching scheme suitable for the user according to the multi-dimensional driving ability of the user and the user's personal driving-related information.
  • the relevant data of the user's driving include driving time/speed/distance/acceleration/direction/angle/route/position/height, movements of head/upper limbs/hands/feet/eyes At least one of attitude, equipment operation, and instrumental data.
  • the driving multi-dimensional capabilities include information acquisition, motion estimation, reaction, response, operation action, equipment use, coordination and cooperation, proficiency, scheme design, environmental adaptation, driving knowledge, equipment knowledge, and regulations. , at least one mental ability.
  • the driving teaching plan includes a learning plan and/or a practice plan
  • the learning plan includes a review and summary after the study of specific teaching content and practice
  • the practice plan includes practice goals, exercises Preparation, practice content, practice points, methods/skills, movements/postures, practice time, practice standards.
  • the driving teaching system can also intelligently analyze the situations that need attention in the process of the user's driving practice according to the content of the driving practice and combined with the multi-dimensional ability of the user's driving, and remind in advance or with the practice process. User attention.
  • the driving teaching system further includes adjusting or re-recommending a driving teaching scheme suitable for the user according to the actual situation of the user's learning/practice.
  • the driving teaching system further includes: for different driving teaching schemes, corresponding levels/points are respectively set according to the evaluation results of the improvement of each ability, and can be set according to the actual situation of the user.
  • a comprehensive analysis model including the improvement of various abilities is determined, so that the comprehensive level/point value of the driving teaching program can be obtained, which can be used for evaluation and comparison of different programs.
  • the driving teaching system can also carry out intelligent analysis and feedback according to the user's driving learning/practice/actual driving, and the feedback includes: feeding back the analysis result to the user so that the user can make targeted Improve; feedback the analysis results to the coach/teacher/manager/management department in real time, and the coach/teacher/manager/management department will intervene; issue at least one of the evaluation reports based on the analysis results.
  • the present invention also provides a method for using the above-mentioned driving teaching system, the method comprising:
  • a driving teaching plan suitable for the user is recommended.
  • the present invention also provides a driving device, which includes a device body and the above-mentioned driving teaching system.
  • the present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the steps of the above-mentioned method for using the driving teaching system.
  • a driving teaching system and its using method, driving equipment, and computer-readable storage medium of the present invention include: a data acquisition module, an analysis module and a database module.
  • the use method of the driving teaching system includes: acquiring the relevant data of the user's driving; evaluating the multi-dimensional driving ability of the user by analyzing the relevant data of the user's driving; recommending a driving teaching plan suitable for the user according to the multi-dimensional driving ability of the user and the user's personal driving-related information.
  • the driving device includes the device body and the driving teaching system as described above.
  • a driving teaching system and its using method, driving equipment, and computer-readable storage medium of the present invention can analyze and evaluate the multi-dimensional driving ability of the user by establishing the evaluation standard of the driving multi-dimensional ability and obtaining the relevant data of the user's driving. Tailor-made suitable driving teaching programs for users based on individual circumstances, and provide standardized guidance reminders and corrections during the practice process, enabling users to learn various driving more efficiently, conveniently and at low cost.
  • FIG. 1 is a schematic diagram of a driving teaching system according to the first embodiment of the present invention.
  • FIG. 2 is a method flowchart of a method for using a driving teaching system according to a second embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a driving device according to a third embodiment of the present invention.
  • FIG. 1 is a schematic diagram of a driving teaching system according to the first embodiment of the present invention.
  • the driving teaching system of the present invention includes: a data acquisition module 11 , a database module 12 and an analysis module 13 .
  • the data acquisition module 11 is used to acquire relevant data of the user's driving, and the relevant data of the user's driving may include driving time/speed/distance/acceleration/direction/angle/route/position/height, head/upper limb/hand/foot/ At least one of the action posture of the eye, the operation of the device, and the number of instruments.
  • the data related to the user's driving includes various data related to driving.
  • the time can be the start time, the end time, the time of a certain node in the driving process, etc.
  • the speed can be the speed of the car, the speed of pedestrians, The speed of other vehicles, the speed of the engine, etc.
  • the position can be the position of the car, the position of the pedestrian, the position of the obstacle, the position of the hand, etc.
  • the distance can be the distance traveled, the distance from the workshop, the distance from the intersection, etc.
  • Equipment operation refers to the user's operation of steering wheel, handle, dashboard, communication device, button, gear, brake, accelerator and other equipment or equipment components, and can also include special vehicles such as forklifts, cranes, road rollers, tractors, excavators, etc.
  • the data acquisition module 11 may be a video acquisition device, a time/speed/distance/acceleration/direction/angle/route/position measurement device, etc., or a smart device, or a combination of the above-mentioned devices, for Get data about the user's driving.
  • the relevant data of the user's driving can be directly measured by time/speed/distance/acceleration/direction/angle/route/position measurement devices, etc., or it can be obtained by obtaining driving videos through a video acquisition device, and then analyzing and calculating them. Or calculated through virtual reality technology.
  • the driving teaching system of the present invention can comprehensively analyze the multi-dimensional driving ability of the user from multiple angles through the relevant data of the user's driving.
  • the database module 12 is used for storing the driving multi-dimensional capability database and the user's personal driving database.
  • the driving multidimensional ability database includes evaluation criteria for driving multidimensional ability.
  • Driving multi-dimensional ability includes at least one ability in information acquisition, motion prediction, reaction, coping, operation action, equipment use, coordination and cooperation, proficiency, program design, environmental adaptation, driving knowledge, equipment knowledge, laws and regulations, psychology, and also It may include the combined ability of two or more single abilities, and may also include the ability to complete a single action or its combination, as well as the relationship between the ability to complete, combined ability, and single ability.
  • Completion capability refers to the user's ability to complete a specific driving action.
  • the user can complete a specific driving action, indicating that the user's multi-dimensional driving ability meets the requirements of the action, that is, the user's information acquisition, motion prediction, reaction, response, operation action, equipment use, coordination, proficiency, program design, and environmental adaptation. , driving knowledge, equipment knowledge, laws and regulations, psychology and other abilities meet the requirements of the action, so the user has the ability to complete the driving action.
  • the ability to complete can be the ability to complete one driving action, or it can be the ability to complete the combination of driving actions formed by multiple driving actions.
  • the driving teaching system of the present invention is for the user to better learn the driving of various vehicles, ships and airplanes, and the improvement of the driving level requires the coordinated application of different individual abilities in addition to the improvement of the individual ability of the multi-dimensional driving ability of the user. Only then can the user's driving level be improved and the purpose of driving teaching be achieved. For example, driving a car first requires certain information acquisition, reaction, operation actions, driving knowledge and ability, and mastery of basic operational actions such as starting, accelerating, steering, parking, etc.; then it needs to have certain knowledge about equipment use, environmental adaptation and driving regulations.
  • the driving teaching system of the present invention can be used for driving teaching of different equipment, including: bicycles/motorcycles/small cars/medium cars/large cars/special equipment vehicles/engineering vehicles/ships/airplanes.
  • bicycles/motorcycles/small cars/medium cars/large cars/special equipment vehicles/engineering vehicles/ships/airplanes To learn to drive and improve the level of driving, you need to have various driving-related abilities, and at the same time make good use of various driving-related abilities, in order to learn driving faster and better, and improve the relevant driving level.
  • Relevant elements of driving can include:
  • Spatial elements related to driving such as: area/address, distance, road, route, location, height, angle, etc.; time elements related to driving such as: time point, timing, duration, frequency, cycle, etc.; speed related to driving Elements such as speed, acceleration, turning speed, cruising speed, etc.; angle elements related to driving such as: turning angle, uphill angle, downhill angle, etc.; action elements related to driving such as: hands, fingers, feet, legs, Actions/positions/angles of arms, head, and torso, etc., may also include familiarity with driving equipment, proficiency in driving actions, estimation of vehicle/pedestrian motion, driver's reaction, response to special/unexpected situations, etc. Wait.
  • road factors such as number of lanes, lane width, radius of curvature, slope, road material, entrances and exits, traffic lights, crossings, connecting roads, road environment, road friction/load-bearing/height/speed limits etc.
  • road condition factors such as traffic flow, vehicle position, vehicle speed, vehicle acceleration, vehicle target and other navigation-related information, obstacle/pedestrian information, traffic light information, road damage, traffic accidents, etc.
  • driving equipment factors such as vehicle type , model, license plate number, vehicle length/width/height/mass/braking distance/tire condition/power condition/electricity/fuel quantity/meter number and other parameters, vehicle destination, number of passengers, etc.
  • weather and environmental factors such as: Visibility/rain/snow/road icy, etc.
  • can also include other related factors that affect driving such as: traffic tidal patterns/differences between day and night/traffic control or traffic restriction plans/vehicle weights/time priority for special tasks/time-limited arrivals and Avoidance
  • the driving multi-dimensional ability database may also include: the range/list of actions and their combinations corresponding to the multi-dimensional abilities of different driving items and levels, as well as the standards and requirements for each single-dimensional ability, combination ability, and completion ability corresponding to each action or its combination , the standard video and action demonstration corresponding to the level/level; the classification standard of various actions and their combinations under the multi-dimensional driving ability, the characteristics/difficulties of the actions and their combinations, the actions and their combinations based on the type/difficulty/feature/ability and Marks required for level/practice points/style etc. You can use tags to find user-friendly actions and their combinations as the content of the teaching plan.
  • the driving multi-dimensional ability database the user's driving-related data can be compared and analyzed with the driving multi-dimensional ability evaluation criteria to evaluate the user's driving multi-dimensional ability.
  • the user's personal driving database stores the user's personal driving-related information, which is used to analyze and evaluate the multi-dimensional ability of the user's driving, recommend the driving teaching plan suitable for the user, analyze the situations that need attention in the process of driving the user, and point out the deficiencies in the user's driving process. Provide the user's personal driving-related information at the time of writing. It is also possible to include multiplayer/team driving related information in multiplayer/team driving.
  • the user's personal driving-related information may include: the user's basic information, the user's personal driving ability, the user's personal driving characteristics, driving learning goals, driving learning time, various abilities related to driving learning, mastered actions and combinations, in practice Information such as actions and combinations, practice time, practice experience and progress, etc., also include evaluation information of the user's multi-dimensional driving ability and corresponding related data.
  • the basic information of the user includes: age, gender, height, weight, driving foundation, and so on.
  • the user's personal ability to drive may include: a single-dimensional ability and a level/level of combined ability of the user's driving multi-dimensional ability.
  • the personal characteristics of the user's driving may include: driving items, actions, styles, techniques, postures, practice methods, etc. that the user likes/dislikes;
  • Various abilities related to driving learning include: intelligence, driving knowledge, memory ability, comprehension ability, coordination ability, cooperation ability, physical strength, recovery ability, attention and so on.
  • the source of the driving multi-dimensional ability database can be based on various driving teaching materials and related books, traffic regulations, driving-related data, driving video data, relevant digital features of driving multi-dimensional ability and action completion ability, driving project specifications, experts Experience, meeting minutes, papers, monographs, inventions, scientific inferences, reports, analytical reports, other literature, other professional/authoritative research results.
  • the driving multi-dimensional capability database can be established by selecting standard driving videos and related data, or by analyzing the existing data through artificial intelligence and building it according to the specification, or by data mining/data reorganization/statistical analysis to obtain new data The establishment may also be established by using a combination of the above methods.
  • the data acquisition method of the user’s personal driving database may include the user/coach’s own input, acquisition from other information systems, equipment or databases, or new data continuously acquired and analyzed during the use of database-related information, or the above-mentioned data. combination of methods.
  • the analysis module 13 is configured to evaluate the multi-dimensional driving ability of the user by analyzing the relevant data of the user's driving and/or recommend a driving teaching scheme suitable for the user according to the multi-dimensional driving ability of the user and the user's personal driving-related information. To evaluate the multi-dimensional ability of the user's driving by analyzing the relevant data of the user's driving, it should be that the driving multi-dimensional ability database contains the standard data and evaluation criteria of the driving item/action.
  • the analysis module 13 evaluates the multi-dimensional ability of the user's driving by analyzing the relevant data of the user's driving, which may be from the video data of the user's driving and/or driving time/speed/distance/acceleration/direction/angle/route/position/height, head/upper limbs
  • the data required for the evaluation is extracted from the data such as the action posture, equipment operation, and instrument data of the hands/feet/eyes, etc., and then the extracted data is compared with the standards in the driving multi-dimensional ability database. Prediction, reaction, response, operation action, equipment use, coordination and cooperation, proficiency, program design, environmental adaptation, driving knowledge, equipment knowledge, laws and regulations, psychology, etc.
  • the other data are compared with the standard data in the driving multi-dimensional ability database to evaluate the ability of each aspect of the user's driving multi-dimensional ability.
  • the data needed for the assessment can be video data from the user's driving and/or driving time/speed/distance/acceleration/direction/angle/route/position/height, head/upper extremity/hand/foot/eye movements
  • Data related to driving multi-dimensional ability and action completion ability can be extracted from data such as attitude, equipment operation, instrument number and other data, and related digital features can also be extracted.
  • the analysis and evaluation may also be to evaluate the combined ability of two or more of the individual abilities of the user's driving multi-dimensional ability, and to evaluate the ability to complete actions or their combinations.
  • Assessing the information acquisition ability can be to evaluate the relevant data of the user's information acquisition ability, including vision, night vision, color resolution, color sensitivity, hearing, height perception, orientation perception, etc., and can be set according to different ability evaluation results. corresponding grades or scores.
  • Assessing the motion prediction ability can be to analyze and evaluate the data related to the prediction of the motion route of vehicles/pedestrians/other vehicles in the relevant data of the user's driving, and compare it with the standards in the driving multi-dimensional ability database, and can be based on different The ability assessment results set corresponding grades or scores.
  • Assessing the reaction ability can be to analyze and evaluate the various data related to the reaction in the driving-related data of the user, compare it with the standards in the driving multi-dimensional ability database, and set the corresponding grade or score according to the different ability evaluation results. .
  • Assessing the coping ability may be to analyze and evaluate various data related to the response to different situations in the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional ability database, and set corresponding measures according to different ability evaluation results. Grading or scoring.
  • Assessing the operational movement ability may be to analyze and evaluate various data related to operational movements, such as head/hand/upper limb/foot movements in the relevant data of the user's driving, and compare them with the standards in the driving multi-dimensional ability database, and Corresponding grades or scores can be set according to different ability assessment results.
  • Assessing the ability to use the device may be to analyze and evaluate the data related to the use of the device in the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional capability database, and analyze the user's steering wheel, joystick, instrument panel, and communication device during driving. , whether the use of buttons, gears, brakes, accelerators, special equipment, etc. is accurate and reasonable, and corresponding grades or scores can be set according to different ability evaluation results.
  • Assessing the coordination and cooperation ability may be to analyze and evaluate various data related to coordination and cooperation in the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional ability database, and set corresponding grades according to different ability evaluation results. or rating.
  • the coordination ability includes the coordination of various parts of the driver's body, such as hand-eye coordination, hand-foot coordination, and cooperation between hands, etc. It also includes the coordination between the driver and the driving equipment, and the coordination with other vehicles/pedestrians.
  • Evaluating the proficiency ability can be to analyze and evaluate the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional ability database, and analyze whether the user is proficient in various operation actions during the driving process, and can be set according to different ability evaluation results. corresponding grades or scores.
  • Assessing the program design ability can be to analyze and evaluate the data related to the program design in the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional capability database, and analyze the user's program design ability, including whether the program is reasonable/achievable/achievable. Adjustment/has advantages/less disadvantages/suitable for the user's own driving level, and can set corresponding grades or scores according to different ability evaluation results.
  • Assessing the ability to adapt to the environment may be to analyze and evaluate various data related to environmental adaptation in the relevant data of the user's driving, compare it with the standards in the driving multi-dimensional ability database, and analyze the user's perception of different road environments, road conditions, and climate environments. and other adaptability, and corresponding grades or scores can be set according to different ability assessment results.
  • Assessing the driving knowledge ability can be to directly inspect the user's driving knowledge mastery, or to analyze and evaluate the user's driving-related data and various data related to driving knowledge, and compare it with the standards in the driving multi-dimensional ability database.
  • the ability assessment results set corresponding grades or scores.
  • Assessing the equipment knowledge capability can be to directly examine the user's equipment knowledge mastery, or to analyze and evaluate the user's driving-related data and various data related to equipment knowledge, and compare it with the standards in the driving multi-dimensional capability database.
  • the ability assessment results set corresponding grades or scores.
  • Assessing regulatory capability can be to directly inspect the user's degree of mastery of regulations, or to analyze and evaluate the user's driving-related data and various data related to regulatory capabilities, and compare with the standards in the driving multi-dimensional capability database, and can be based on different capabilities.
  • the assessment results set corresponding grades or scores.
  • Assessing psychological ability can be directly examining the user's psychological state, or analyzing and evaluating the user's driving-related data and various data related to psychological ability, and comparing with the standards in the driving multi-dimensional ability database, and can be evaluated according to different abilities. The results are assigned corresponding grades or scores.
  • the driving teaching system of the present invention can also set corresponding grades/points according to the evaluation results of various abilities of the multi-dimensional ability of the user's driving, and can set various ability analysis results according to the actual situation of the user.
  • the multi-dimensional capability comprehensive analysis model based on the user's driving situation can be evaluated according to the level/point value corresponding to each capability analysis and the comprehensive analysis model including the comprehensive analysis result and each capability. /points, used to recommend suitable driving teaching programs to users.
  • the comprehensive analysis model is a model used to analyze and evaluate the multi-dimensional ability of the user's driving. It can be manually set by experts/senior coaches, or obtained through data statistics/analysis, or obtained through information reorganization/big data analysis. Or obtained through artificial intelligence deep learning/optimization, and can be continuously accumulated and optimized during use.
  • F is the grade/score of the comprehensive ability
  • fi is the grade/score corresponding to the evaluation result of the i -th ability
  • S(fi) is the analytical model formula related to the i -th ability.
  • the specific calculation formula is as follows:
  • the analysis module 13 recommends a driving teaching scheme suitable for the user according to the multi-dimensional driving ability of the user and the user's personal driving-related information.
  • Driving instructional programs may include learning programs and/or practice programs.
  • the study plan includes review and summary after the study of specific teaching content and practice.
  • the learning of specific teaching content can be in the form of text, audio, video, interactive programs, manual distance, etc., and can also include prompts in the learning process.
  • the exercise program may include exercise goals, preparations before exercise, exercise content, exercise points, methods/skills, movements/postures, exercise time, exercise standards, and the like.
  • the goal of practice can be to master a certain driving technique, master a certain driving action, reach a certain driving level, etc.
  • Preparations before practice can include preparation and inspection of driving equipment, familiarization with places, and preparations for eating and drinking.
  • the driving teaching system of the present invention can provide different targeted schemes in the driving teaching scheme according to the user's learning ability and memory and the length of time required for mastering new learning actions and consolidation actions, such as: users with high memory, reviewers The interval is long; for users with strong ability to learn new actions, the time to learn new actions is short.
  • the driving teaching system of the present invention can recommend a driving teaching scheme suitable for the user according to the actual situation of the user, including the multi-dimensional driving ability of the user and the personal driving-related information of the user, as well as the characteristics of the user's practice intensity and practice time.
  • the teaching plan can be a single teaching plan or a comprehensive teaching plan for a period of time.
  • standards for completing exercises, etc. so that users can learn to drive more efficiently, more conveniently, and at a lower cost.
  • the exercise program can also be accompanied by audio/video/point/difficulty analysis of the exercise, etc.
  • the recommended learning content and practice content may be contained in the driving multi-dimensional capability database.
  • User goals can be to achieve a certain level of driving multidimensional ability or to have a certain level of action/combination completion ability.
  • Teaching programmes may contain study programmes and/or practice programmes.
  • the learning plan may be to select the appropriate learning content as the learning plan. Selecting the appropriate learning content is based on the user's existing problems, analyzes and finds out the essential reasons for the user's problems, and recommends suitable content for the essential reasons. For example, the user's parking level is insufficient. After analysis, it is found that the user's side parking level is insufficient, and the reverse parking can meet the requirements. Therefore, it is necessary to focus on recommending the relevant content of side parking, and further analysis, the reason why the user's side parking is not good is that The timing of turning the steering wheel when reversing is wrong, resulting in insufficient lateral parking level.
  • the practice plan can be based on the difficulty/characteristics/practice points/style, etc., select the corresponding marked content from the driving multi-dimensional ability database, and generate an exercise plan that covers the task requirements and is suitable for the user's own actual situation, for example: according to the user's current multi-dimensional driving ability And the gap between the action completion ability and the goal, the calculated task is to increase the three abilities from level 1 to level 2, and then select the learning content and practice content that match the current task from the database, combined with the user's practice time/difficulty of practice and so on, to generate a teaching plan.
  • the target can also be decomposed into a plurality of sub-targets, and the task can also be decomposed into a plurality of corresponding sub-tasks.
  • the various abilities of multi-dimensional driving are divided into ten levels.
  • the user's goal is to reach the eighth level in motion prediction, coping and coordination, and at the same time, he can master two classic driving action combinations.
  • the user's current motion prediction ability is level 6, coping and coordination are both level 7, and the two classic action combinations cannot be completed.
  • the user's task is to improve the motion prediction from level 6 to level 8, coping and coordination.
  • the cooperation is raised from level 7 to level 8, and the combination of 2 classic actions has the ability to complete.
  • the goal can be decomposed into multiple sub-goals: movement prediction reaches level 7, coping level 8, coordination and cooperation level 8, movement prediction level 8, proficiency in the first level One classic movement combination, master the second classic movement combination.
  • the task can also be divided into multiple sub-tasks: motion prediction from level 6 to level 7, response from level 7 to level 8, coordination and cooperation from level 7 to level 8, motion prediction from level 7 to level 8, with The ability to complete the first classic action combination, and the ability to complete the second classic action combination.
  • the sub-goals and the corresponding sub-tasks may also be single-dimensional ability, combined ability of driving multi-dimensional ability, and ability to complete a single action/combination, or a combination thereof, which is not limited.
  • each sub-scheme needs to be formulated according to each sub-task, each sub-scheme can cover the corresponding sub-task, and then the sub-schemes are integrated to form a complete teaching scheme, which can completely cover the entire task and achieve the requirements of the complete goal.
  • Each sub-program can also be optimized, so that the integrated teaching program achieves the best efficiency and effect.
  • the formulation of the sub-scheme needs to fully cover the learning/practice tasks of all the task units of this goal, so as to be precise and not omitted.
  • the solution can be optimized.
  • the optimization can be based on the relevant digital features of the user’s multi-dimensional driving ability and action/combination completion ability.
  • the optimization can include the following items:
  • Optimized for user preferences According to the user's preferred items, styles, actions, practice methods, etc., select a plan that includes more content/actions that the user likes and less content/actions that the user does not like.
  • Optimize for environment/conditions According to the environment/condition of the user's learning/practice, including the place environment, time conditions, auxiliary conditions, etc., select the most suitable solution for the environment/condition. For example: after meals, try to arrange listening to audio/video learning content instead of actual driving practice, and try to arrange night driving practice at night.
  • the driving teaching scheme generated by the driving teaching system of the present invention can be one or more, and the driving teaching system can also set corresponding levels/points according to the evaluation results of each ability improvement for different driving teaching schemes.
  • the comprehensive analysis model including the improvement of various abilities can be set according to the actual situation of the user, so that the comprehensive level/point value of the driving teaching program can be obtained, which can be used for the evaluation and comparison of different programs.
  • the driving teaching system can recommend the teaching plan with the highest comprehensive level/point to the user, or it can set a recommendation threshold manually or automatically by the system.
  • the teaching plan with the comprehensive level/point higher than the threshold will be recommended, and the user or the system can automatically set a recommendation threshold. The coach makes the choice.
  • G is the comprehensive level/point value of the driving teaching plan
  • gi is the level/point value corresponding to the evaluation result of the i -th ability improvement
  • F( gi ) is the analysis model related to the i-th ability-improving evaluation result formula.
  • the specific calculation formula is as follows:
  • the driving teaching system of the present invention stores a plurality of driving teaching schemes suitable for different model groups such as multi-dimensional driving abilities of different users/driving-related information of different users, and these driving teaching schemes can be manually set by experts/senior coaches , or obtained through data statistics/data analysis, or through information reorganization/big data analysis, or through artificial intelligence deep learning/optimization, and can be continuously accumulated and optimized during use.
  • recommending a driving teaching scheme suitable for the user is to select the most suitable existing driving teaching scheme for the user by analyzing and comparing the user's multi-dimensional driving ability and the degree of fit between the user's personal driving-related information and the existing model.
  • the driving teaching system of the present invention can also be aimed at the existing teaching and practice plan of the user, obtain the user's progress by analyzing the driving-related data practiced by the user, and promote the implementation of the existing teaching and practice plan according to the actual progress, so that The effectiveness of teaching and practice programs has been greatly improved.
  • the driving teaching system of the present invention can also intelligently analyze the situation that needs attention during the user's practice according to the practice content and combined with the user's multi-dimensional driving ability, and remind the user to pay attention in advance or along the practice process.
  • the driving teaching system may further include a reminder module for reminding the user to pay attention to the information.
  • the reminder module can be a separate display screen, a speaker, or a user's portable device such as a mobile phone, a bracelet, a headset, etc.
  • the information to remind the user can be displayed on the display screen in the form of text, pictures or videos, or it can be voiced. way to remind users to pay attention, or vibrate or other ways to remind users to pay attention.
  • the driving teaching system of the present invention may further include an auxiliary practice module for assisting the user to practice, such as a simulated driving machine, a simulated driving game equipment, a virtual technology equipment, and the like.
  • the driving teaching system can give the corresponding parameters of the auxiliary practice module according to the actual situation of the user and the content of the user's practice, and automatically or manually input it to the auxiliary practice module to help the user practice the relevant content.
  • the driving teaching system of the present invention can also perform intelligent analysis and feedback according to the user's driving learning/practice/actual driving.
  • the feedback includes: feeding back the analysis result to the user so that the user can improve in a targeted manner; feeding back the analysis result in real time To the coach/teacher/manager/management department, the coach/teacher/manager/management department will intervene; at least one of the evaluation reports will be issued based on the analysis results.
  • the driving teaching system of the present invention can also intelligently analyze the actual situation of the user's driving learning/practice and feed back the analysis results to the user, so that the user can stick to the correct part in a targeted manner, correct the wrong part, and continuously improve the driving level.
  • the driving teaching system can analyze and evaluate the relevant data of the user's driving, and feed back the results of the analysis and evaluation to the user. The video is fed back to the user so that the user can make targeted corrections.
  • the driving teaching system of the present invention can help users analyze whether their driving is correct, and continuously improve their driving level.
  • the driving teaching system of the present invention may also include providing feedback in real time during the user's driving learning/practice process, and the coach intervenes. Through intervention, when the user does not use the system correctly for learning/practice, it can be corrected in time. Or when the user obtains the results of learning/practice, it can timely feedback to the coach, give praise to the user, etc., so as to improve the user's interest in learning to drive.
  • the driving teaching system of the present invention can also issue an evaluation report according to the user's driving learning/practice situation.
  • the evaluation report may include: the user's driving multi-dimensional ability includes information acquisition, motion prediction, reaction, response, operation action, equipment use, coordination and cooperation, proficiency, scheme design, environmental adaptation, driving knowledge, equipment knowledge, regulations, Individual abilities such as psychology can also include the combined ability of two or more individual abilities, or the comprehensive ability of the user’s multi-dimensional driving ability, the ability to complete actions or their combinations, etc., as well as the user’s personal driving-related abilities.
  • the evaluation report can also be a phase-by-phase comparison report, or a progress report over a period of time, or a report on the achievement of a certain goal. Reports can be oriented to users, coaches, schools, social organizations, clubs, and work units, as the basis for the driving learning process/personnel professional level evaluation/professional normative evaluation, etc.
  • the driving teaching system of the present invention can also visually display at least one of the user's multi-dimensional driving ability, the user's personal driving-related information, the driving teaching scheme suitable for the user, and the progress made after adopting the driving teaching scheme, so that the user/ Coaches and others can more directly observe and compare the user's multi-dimensional driving ability, driving teaching plan, and the quality of progress made after adopting the driving teaching plan.
  • the analysis module 13 and the database module 12 can be installed on the server, and the evaluation results and recommended solutions can be directly fed back to the user's smart phone or computer through the network, and can also be fed back to other smart terminals such as smart glasses. , simulated driving machine, simulated driving game equipment, virtual technology equipment, etc.
  • the driving teaching system of the present invention can help users formulate a personalized learning/practice plan according to their own actual situation through ability evaluation and problem analysis, and the user can complete the corresponding exercises according to the learning/practice plan, and achieve the learning/practice goal-improving the user
  • the driving teaching system of the present invention can also evaluate the multi-dimensional ability of the user's driving and the effect of the user's use of the driving teaching scheme at any time during the user's use, and adjust or re-recommend the driving teaching scheme suitable for the user according to the actual situation of the user's learning/practice.
  • the user can always obtain a suitable driving teaching scheme, and continuously and effectively improve his own driving level.
  • the driving teaching system of the present invention can also be integrated on vehicles, ships, aircraft, and simulated driving equipment, and is used to acquire/record the driving-related data of the user in real time and analyze it, and provide a driving teaching scheme suitable for the user according to the analysis result, and Give corresponding prompts when the user is practicing/driving, give guidance or assist the user in driving when the user makes a mistake, and feed back relevant information to relevant managers/departments for supervision/assessment/record/evaluation, etc.
  • FIG. 2 is a method flowchart of a method for using a driving teaching system according to a second embodiment of the present invention. As shown in the figure, the use method of the driving teaching system of the present invention includes:
  • S3 Recommend a driving teaching plan suitable for the user according to the multi-dimensional ability of the user's driving and the user's personal driving-related information.
  • the use method of the driving teaching system of the present invention corresponds to the technical features of the driving teaching system of the present invention one by one, and the description of the aforementioned driving teaching system can be referred to, and details are not repeated here.
  • FIG. 3 is a schematic diagram of a driving device according to a third embodiment of the present invention.
  • a driving device of the present invention includes a device body 31 and a driving teaching system 32 as described above.
  • the driving teaching system can acquire/record the user's driving-related data in real time and analyze it, and provide a driving teaching plan suitable for the user according to the analysis result, and then learn/practice/drive when the user learns/practices/drives.
  • Provide corresponding prompts when driving give guidance or assist users in driving when users make mistakes, and feedback relevant information to relevant managers/departments for supervision/assessment/record/evaluation, etc.
  • the device body 31 may be an independent device or a comprehensive system device, including multiple sub-devices, and may also include a site and a road, which is not limited in the present invention.
  • a driving device of the present invention corresponds to the technical features of a driving teaching system of the present invention one by one, and the description of the aforementioned driving teaching system can be referred to, which will not be repeated here.
  • the present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, implements the steps of the above-mentioned method for using the driving teaching system.
  • a computer-readable storage medium of the present invention corresponds to a method of using a driving teaching system and technical features of a driving teaching system of the present invention. The description of the teaching system will not be repeated here.
  • the driving teaching system includes: a data acquisition module, an analysis module and a database module.
  • the use method of the driving teaching system includes: acquiring the relevant data of the user's driving; evaluating the multi-dimensional driving ability of the user by analyzing the relevant data of the user's driving; recommending a driving teaching plan suitable for the user according to the multi-dimensional driving ability of the user and the user's personal driving-related information.
  • the driving device includes the device body and the driving teaching system as described above.
  • a driving teaching system and its using method, driving equipment, and computer-readable storage medium of the present invention can analyze and evaluate the multi-dimensional driving ability of the user by establishing the evaluation standard of the driving multi-dimensional ability and obtaining the relevant data of the user's driving. Tailor-made suitable driving teaching programs for users based on individual circumstances, and provide standardized guidance reminders and corrections during the practice process, enabling users to learn various driving more efficiently, conveniently and at low cost.

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Abstract

L'invention concerne un système d'enseignement de conduite et son procédé d'utilisation, ainsi qu'un dispositif d'entraînement et un support de stockage lisible par ordinateur. Un système d'enseignement de conduite comprenant un module d'acquisition de données (11), un module d'analyse (13) et un module de base de données (12). Le procédé d'utilisation d'un système d'enseignement de conduite comprend les étapes consistant à : acquérir des données associées d'entraînement d'utilisateur (S1) ; analyser et évaluer une capacité multidimensionnelle d'entraînement d'utilisateur au moyen des données associées de l'entraînement de l'utilisateur (S2) ; et recommander un schéma d'enseignement de conduite approprié pour un utilisateur en fonction de la capacité multidimensionnelle de l'entraînement de l'utilisateur et des informations relatives à la conduite personnelle de l'utilisateur (S3). Le dispositif d'entraînement comprend un corps de dispositif (31) et un système d'apprentissage de conduite (32) tel que décrit ci-dessus. Une capacité multidimensionnelle d'entraînement d'utilisateur est analysée et évaluée au moyen de l'établissement d'une norme d'évaluation d'une capacité multidimensionnelle d'entraînement et de l'acquisition de données associées d'entraînement d'utilisateur, un schéma d'enseignement de conduite approprié peut être personnalisé pour un utilisateur en fonction de situations personnelles de l'utilisateur, et des conseils, des rappels et des corrections normalisés peuvent être fournis au cours d'un processus d'entraînement, de telle sorte que l'utilisateur peut apprendre divers types de conduite à un faible coût de manière plus efficace et plus commode.
PCT/CN2020/131251 2020-11-24 2020-11-24 Système d'enseignement de conduite et son procédé d'utilisation, dispositif de commande et support de stockage lisible par ordinateur WO2022109811A1 (fr)

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CN202080002945.0A CN112655006A (zh) 2020-11-24 2020-11-24 一种驾驶教学系统及其使用方法、驾驶设备、计算机可读存储介质

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