149 results about "Driving skills" patented technology

The invention provides an intelligent driving scene adaptive teaching method and system based on reinforcement learning, and relates to the technical field of reinforcement learning, and the method comprises the steps: training a plurality of scene recognition models based on historical data, carrying out the scene classification of the historical data, and generating a training sample set with labels; and training by using a reinforcement learning algorithm to obtain an intelligent driving decision model for different scene types. In the actual driving process, the current driving scene is recognized according to the information such as the vehicle position, the vehicle speed and the acceleration which are collected in real time, and the corresponding decision model is selected to output the standard driving behavior sequence. And comparing the actual behavior of the driver with the standard behavior, calculating a deviation value, determining a teaching feedback strategy according to the deviation value, outputting driving guidance information in real time, and using the feedback of the driver to update the decision model. Personalized teaching can be provided according to different driving scenes, the driving skill of a driver is improved, and the driving safety is enhanced.

The invention discloses a driving skill training method constructed based on a diversified virtual examination room, and relates to the technical field of data processing, and the method comprises the steps: constructing a system based on the diversified virtual examination room, constructing a virtual examination room scene to carry out the driving training of a training user, outputting a driving behavior data set in real time, and carrying out the scoring, and analyzing the data according to the driving score, generating a personalized training path in combination with historical data when the driving score does not reach the standard, and training the user to carry out training step by step according to the training path until a preset skill scoring target is achieved. The technical problems that in the prior art, a traditional driving training method cannot dynamically adjust a training path to meet the actual skill requirements of trainees, consequently, training content lacks pertinence and is low in efficiency are solved, the individuation and pertinence of driving skill training are improved, it is ensured that the training content is highly matched with the actual skill requirements of the trainees, and the driving skill training efficiency is improved. And the training efficiency and effect are improved.

The invention discloses an ability evaluation method and system applied to an enhanced closed scene in intelligent driving training. A super-realistic simulation environment is constructed, a physical engine and high-precision modeling are utilized, a dynamic weather system and a user-defined scene editor are integrated, and diversified realistic scenes are provided; multi-dimensional data acquisition and preprocessing are carried out, traditional operation and biological characteristic data are combined, and support is provided for risk assessment through cleaning and characteristic extraction; a reinforcement learning risk assessment model is constructed, and the driving behavior risk is assessed in real time; safety response and personalized teaching are realized, and teaching is intervened and adjusted in real time according to a risk assessment result. Through environment simulation, data processing, model evaluation, safety and teaching effect evaluation and the like, the driving skill of trainees can be comprehensively improved, driving practice safety is guaranteed, a personalized learning path is provided, an efficient, safe and personalized solution is brought to the intelligent driving training industry, and the method has wide application prospects and remarkable technical innovation value.

The invention discloses a driving skill level classification method based on multi-dimensional data fusion. The method comprises the following steps: (1) acquiring behaviors, physiological data and environmental data of a driver in real time through a driving simulator, eye movement tracking glasses and a physiological sensor; and (2) processing and analyzing the multi-dimensional data by using a CNN-LSTM classifier (CNN-LSTM-attention) so as to evaluate the skill level of the driver. According to the method, control skills and cognitive skills are comprehensively evaluated, key parameters including steering, braking, eye movement frequency, concentration duration and the like are captured in real time by using a driving simulator, eye movement tracking glasses and a physiological sensor, and a CNN-LSTM-attention classifier is constructed. According to the method, the complexity of the scene is quantified, the classifier is trained according to different scenes, the accuracy is improved, and meanwhile, the reliability of driving ability evaluation is enhanced by using multi-dimensional data.

The invention provides a student safety operation monitoring device for driving skill training, and relates to the technical field of driving training monitoring, and the device comprises an initialization module which is used for obtaining the training data of a student, and carrying out the initialization; the external information acquisition module is used for acquiring real-time environment data; the internal information acquisition module is used for acquiring internal data; the state extraction module is used for performing feature extraction on the internal information data set; and the monitoring and early warning module is used for calling the initialized intelligent monitoring auxiliary system to perform joint anomaly authentication based on the internal feature extraction result and the external environment data set, and reporting monitoring and early warning. The technical problem that in the prior art, whether operation of a student is abnormal or not is judged depending on a single rule, false alarm or missing alarm is likely to occur, and the accuracy of safe operation monitoring is insufficient can be solved, combined authentication is carried out by combining behaviors of the student and external environment data, the abnormal condition is accurately recognized, and the safety operation monitoring accuracy is improved. And the safety operation monitoring accuracy is improved.

To provide a driving evaluation apparatus for appropriately evaluating the driving skill of a driver.SOLUTION: A driving evaluation apparatus includes: an error information generation section 12 that generates steering error information, which is information on an error of an actual measured value with respect to a predicted value of steering for each of a target vehicle and other vehicles on an evaluation target road, on the basis of traveling information of a plurality of vehicles acquired by an information acquisition section 11; and a driving evaluation section 13 that evaluates a driving skill of a driver of the target vehicle in a drying period according to a first criterion on the basis of the steering error information of the other vehicles and the target vehicle in the drying period, and evaluates the driving skill of the driver of the target vehicle in an ice and snow period according to a second criterion looser than the first criterion on the basis of the steering error information of the other vehicles in the drying period and the steering error information of the target vehicle in the ice and snow period.SELECTED DRAWING: Figure 4

The invention relates to an intelligent propaganda and education method, system and device for online car-hailing drivers and a storage medium. The method comprises the following steps: acquiring driving behavior data, service evaluation data and training feedback data of an online car-hailing driver in real time; generating personalized description data corresponding to the online car-hailing driver according to the collected data, wherein the personalized description data comprises driving skill description data, service level description data and training demand description data; determining customized propaganda and education contents of the online car-hailing driver according to the personalized description data; the customized propaganda and education content is pushed to the online car-hailing driver through multiple ways, and the learning condition of the customized propaganda and education content by the online car-hailing driver is recorded in real time. According to the invention, timely, efficient and personalized educational training can be carried out on the online car-hailing driver, and the driving skill, service level and safety awareness of the online car-hailing driver are improved.

The invention discloses a processing method for driving skill evaluation learning. The processing method comprises the following steps: monitoring a current driving behavior in a driving process; obtaining a current automatic driving plan of the vehicle, performing real-time evaluation on a current driving behavior according to the automatic driving plan, and giving a prompt when determining that a bad driving behavior exists; and after the driving is finished, performing comparison display on each bad driving behavior and the correct driving behavior in the corresponding automatic driving plan, or / and performing simulated driving learning operation. The invention further discloses a corresponding system and device and a storage medium. According to the invention, the driving skill of the driver can be evaluated and learned by adopting the modes of prompting, playback, comparison, driving simulation and the like, so that the driving safety is improved.

The invention provides a driving simulation training system for electric motorcycle racing, and the system comprises a feature extraction module which is used for carrying out the feature extraction of standardized motion capture image data, and obtaining a joint motion matching point; the preprocessing module is used for preprocessing the joint action matching points to obtain preprocessed joint action matching points; the joint matching module is used for matching the preprocessed joint action matching points with joint points on a preset driver model to obtain a driver virtual character model; and the simulation training module is used for training in the constructed simulation racing track by using the driver virtual character model. By matching the joint action matching points with the joint points on the preset driver model, the driver virtual character model conforming to the user characteristics can be generated, so that the user can practice and improve the driving skill in a risk-free virtual environment, and accidents and injuries possibly occurring on a real racing track are avoided.

The invention relates to a driving scoring training system and method based on simulated driving. The driving scoring training system based on simulated driving comprises a simulated driving cabin, a simulated driving simulator, a simulated data server, an information collecting and scoring module and a feedback training data generator, when a driver issues an operation command in the simulated driving cabin, a command signal is transmitted to the simulated driving simulator, and the simulated driving simulator is used for simulating the driving of the driver; the simulation data server generates a virtual model of the vehicle and the road condition, and feelings information is fed back to a driver; the information collecting and scoring module scores the complete driving behaviors and gives driving training suggestions; and the feedback training data generator generates a new training simulation model for training the driver according to the driving training suggestions and by combining the existing training model route data and traffic data. According to the driving scoring training system based on simulated driving, the driving skill of a driver can be improved in a targeted manner, the road safety risk is reduced, and the problem is prevented from occurring again.

To provide a driving evaluation apparatus for appropriately evaluating the driving skill of a driver.SOLUTION: A driving evaluation apparatus includes: an error information generation section 12 that generates steering error information, which is information on an error of an actual measured value with respect to a predicted value of steering, on an evaluation target road identified by road map information on the basis of traveling information of a plurality of vehicles acquired by an information acquisition section 11; and a driving evaluation section 13 that evaluates a driving skill of a driver of an evaluation target vehicle on the basis of a difference between a reference error value determined by the generated steering error information of the plurality of vehicles for the evaluation target road within a predetermined period and a target error value determined by the steering error information, which is generated by the error information generation section, of the evaluation target vehicle for the evaluation target road within the predetermined period.SELECTED DRAWING: Figure 4

The embodiment of the invention provides a vehicle control method and device and electronic equipment, and relates to the technical field of vehicles. The method comprises the steps of determining a target basic acceleration according to a current accelerator depth; according to obtained user demand information, determining a target adjustment amount corresponding to the target basic acceleration, the user demand information being used for indicating a target driving environment and / or a target experience level of the user; obtaining a target acceleration according to the target basic acceleration and the target adjustment amount; and controlling the running speed of the vehicle according to the target acceleration. Therefore, the vehicle can be controlled based on the demand of the player, so that the driving experience of the player is improved, and the strong relevance between the driving stimulation and the driving skill is decoupled.

The invention provides a vehicle, a control method and a computer readable storage medium, the vehicle comprises a plurality of functional modules, and the plurality of functional modules are configured to operate according to corresponding preset operation parameters in response to an escape function starting instruction of the vehicle. Thus, in the embodiment of the invention, the user can trigger the escape function starting instruction to start the escape function of the vehicle to assist the user in implementing vehicle escape, so that when the vehicle is trapped and the user does not have rich vehicle escape experience and driving skills, the difficulty of implementing vehicle escape by the user is reduced, and the user experience is improved. And the driving experience of the user can be improved to a certain extent. Moreover, according to the vehicle provided by the embodiment of the invention, a plurality of function modules in the vehicle can be operated according to the preset operation parameters based on the escape function starting instruction, so that the escape function of the vehicle can be realized based on cooperative work of the plurality of function modules of the vehicle, and the reliability and the effective degree of the escape function can be guaranteed.

To provide an information processing device capable of appropriately displaying information for showing that a driving technique of a driver is insufficient.SOLUTION: An information processing device 100 includes: a driving determination unit 107 that determines whether driving of a vehicle 20 by a driver satisfies a predetermined condition related to a proficiency of a driving technique based on information about driving actually experienced by the driver; and a display control unit 108 that, if the driving determination unit determines that the driving satisfies the predetermined condition, controls the display of predetermined information indicating that the driving technique of the driver is poor in a predetermined position of the vehicle 20 that is visible from the outside of the vehicle 20.SELECTED DRAWING: Figure 3

The invention discloses a police service vehicle rapid forward driving 180-degree U-turn driving training auxiliary method and system, and belongs to the field of police service vehicle special driving skill training. The method comprises the following steps: acquiring expert and coach successful operation data under different training condition parameters, and establishing a data model based on the data; obtaining training parameters of the current training task; according to the training parameters and the data model, a target operation time sequence is determined, and a synchronous operation prompt signal is sent to the trained driver through a signal prompt module; and recording the actual operation time sequence of the trained driver, comparing the actual operation time sequence with the target operation time sequence, and generating a training evaluation report containing deviation information. Through a data driving mode, a complex driving skill is deconstructed into a measurable, guidable and evaluable scientific process, personalized, standardized and intelligent assistance of special driving training is realized, and the training efficiency, the safety and the actual combat conversion rate are remarkably improved.

The invention discloses a driving training track deviation correction system and method based on multi-source data fusion and a pure tracking algorithm, and belongs to the technical field of intelligent driving training. The system comprises a data acquisition module, a standard teaching module, a trajectory tracking algorithm module and a teaching error correction broadcasting module. The corresponding method comprises the steps of data acquisition, trajectory judgment, standard teaching, trajectory tracking calculation and teaching error correction. Through fusion of vehicle GPS information, vehicle-mounted signal data and parking space GPS information, standardized teaching is performed on basic subjects such as starting and parking and linear advancing and retreating when the vehicle does not deviate from a track, and a steering wheel adjustment angle is calculated based on a pure tracking algorithm and is converted into a teaching language prompt when the vehicle deviates from the track. The problems that traditional driving training depends on manpower, the standard is not uniform, and an existing system is insufficient in precision are solved, standardized training and real-time accurate deviation correction of basic driving skills are achieved, scientific driving habits of trainees can be cultivated, and driving training is promoted to be transformed from test taking to quality teaching.

The invention discloses a vehicle intelligent obstacle avoidance method and system, and the method comprises the steps: obtaining a planned advancing track of a target vehicle, and generating a planned driving plan according to the planned advancing track; detecting braking parameters of the target vehicle and obstacle information on the driving path based on the planned driving plan; performing intelligent calculation through an intelligent model according to the obstacle information, and determining an obstacle avoidance track of the target vehicle for each obstacle; and according to the obstacle avoidance track and the braking parameters of the target vehicle, determining respective time points and position points of deceleration and turning of the target vehicle passing through each obstacle, and sending out an intelligent prompt. According to the method, detailed lane changing time point and position point information can be provided for a driver, so that the driver in the driving skill can perform corresponding lane changing operation according to reminding, the driver does not need to perform judgment and decision making according to personal experience, the practicability and the experience feeling of the driver are improved, the obstacle avoidance efficiency and the success rate are guaranteed to the maximum extent, and the driving experience is improved. And the stability and the reliability are improved.

The invention provides a driving skill evaluation system and method based on scene mode automatic segmentation, and relates to the technical field of driving skill evaluation, the system can automatically divide a complete driving process into typical working condition segments such as a curve and a straightway based on a high-precision map and an actual driving track, and the driving skill evaluation efficiency is improved. Targeted skill analysis in different scenes is supported; by calculating scores of multi-dimensional subdivision indexes such as speed basis, safety basis, operation intensity, vehicle dynamics, control precision and comfort, all aspects of driving behaviors are comprehensively reflected; more importantly, the system can dynamically adjust the weight of each index according to the evaluation purpose set by the user, so that the evaluation system has high configurability, personalized and objective skill evaluation for different driving targets is realized, and the scientificity, accuracy and practicability of the evaluation result are improved.

A driving training system based on virtual reality comprises a VR head-mounted device used for projecting a road condition and a virtual vehicle in a virtual driving process to a driver; the eyeball tracking module is used for capturing gazing direction gazing data of the driver for different virtual components in virtual driving; a hand tracking module for capturing motion data associated with driver hand motion to access different virtual components of the virtual vehicle during virtual driving; the driving learning module is used for introducing a driving principle and improving a driving skill through system courses of different themes of a virtual vehicle based on the watching data and the motion data of the driver in virtual driving; the performance evaluation module is used for determining indexes related to driving skills and performance of the driver in virtual driving based on the captured gaze data, the motion data and the tracked navigation; and the danger simulation module is used for simulating dangerous events possibly occurring in the real world in virtual driving so as to improve the response and alertness of the driver.

This invention discloses an all-terrain vehicle, comprising a frame, a front wheel assembly, and a rear wheel assembly. The front wheel assembly is mounted on the frame and includes two front wheels with a track width of W1. The rear wheel assembly is mounted on the frame and includes two rear wheels with a track width of W2. The wheelbase between the front and rear wheels is L, wherein 0.72 ≤ W1 / L ≤ 0.82, and / or 0.72 ≤ W2 / L ≤ 0.82. The all-terrain vehicle provided by this invention has the advantages of smooth handling and high lateral stability, low requirements for user driving skills, and good user driving experience and comfort.

The invention provides a driving skill teaching method and device, a vehicle and a storage medium, the method is applied to the field of vehicle driving teaching, and the method comprises the steps: in the driving process of a target vehicle, in response to a driving skill teaching instruction, obtaining a target driving action of a driving object, and obtaining a road condition picture of a driving road of the target vehicle; obtaining a driving action display animation matched with the target driving action; based on the road condition picture and the driving action display animation, a driving skill teaching video is displayed, and the driving skill teaching video is used for displaying the driving action needing to be adopted in the road condition picture. The method can improve the driving skill learning effectiveness of the driving novice, thereby improving the driving safety of the driving novice.

A processor-implemented method includes processing a plurality of first information related to autonomous driving based on an artificial intelligence (AI) model comprising a first AI network and a plurality of second AI networks associated with one or more driving skills, and determining execution task information for autonomous driving, based on an output corresponding to the plurality of first information, generated by one or more second AI networks of the plurality of second AI networks, wherein the processing includes determining the one or more second AI networks associated with each of the plurality of first information based on the first AI network, and processing the plurality of first information based on the one or more second AI networks.

The invention discloses a driving training teaching plan picture generation method and system based on a student observation visual angle, and the method comprises the steps: obtaining a reference visual field image, observed by a student, of a rearview mirror through a camera device when the student is in a vehicle, and constructing a rearview mirror reflection model when the student is in the vehicle according to a preset reference point, the student and the mirror surface of the rearview mirror, and determining an actual view image of the rearview mirror observed by the student according to a reflection relation of the rearview mirror reflection model. According to the difference relation between the actual view image and the reference view image of the rearview mirror observed when the trainee is in the vehicle, the actual observation position of the rearview mirror of the trainee is determined, and a driving training teaching plan reference picture corresponding to the actual observation view of the trainee is generated according to the actual observation position of the rearview mirror. According to the invention, the method can eliminate the deviation between the actual condition and the reference picture of the teaching scheme, thereby achieving the purposes of improving the teaching efficiency of a driving school and helping students to quickly master the driving skills.

An information presentation system according to an embodiment of the present disclosure comprises: a storage device that is capable of storing a database in which a plurality of evaluation results of driving skills related to driving operations of one or more drivers are registered; a processing circuit that is capable of determining whether a planned travel route of a first vehicle includes a first evaluation target section in which the driving skill is to be evaluated; and a user interface that is capable of presenting, to a first driver of the first vehicle, evaluation result information based on one or more evaluation results among the plurality of evaluation results, before the first vehicle reaches the first evaluation target section in the planned travel route.

Provided is a driving support device, a driving support method, and a storage medium that are capable of performing driving support in accordance with the driving skills of a driver. The driving support device includes: a track derivation unit that derives a reference track in a prescribed section that conforms to a pre-set curve shape; a frequency derivation unit that derives a first frequency determined in accordance with a frequency component of a steering angle of a vehicle in a case where the vehicle passes through the prescribed section along the reference track; a detection value acquisition unit that acquires a detection value of the steering angle; a component derivation unit that derives the frequency component of the steering angle acquired in the prescribed section in a case where the vehicle passes through the prescribed section; and a driving support unit that decides an action of driving support performed on a driver of the vehicle based on a comparison result between an accumulated value of the frequency component in a first frequency band of the first frequency or more and the second frequency or less and a first reference value.

A system is provided.SOLUTION: A system comprising: means for collecting driving data; means for acquiring physiological data and in-vehicle environment data of a driver; means for evaluating a driving skill and a fatigue state from the driving data and the physiological data; and means for proposing a transition to an automatic driving mode based on an evaluation result. To evaluate a driving skill and a fatigue state of a driver, to smoothly shift to an automatic driving mode, and to perform appropriate communication according to a surrounding situation.SELECTED DRAWING: Figure 1

A driving skill estimation device includes a gaze direction detection unit and a driving skill estimation unit. The gaze direction detection unit is configured to detect a gaze direction of a driver who drives a vehicle. The driving skill estimation unit is configured to estimate driving skill of the driver based on a vertical change in the gaze direction detected by the gaze direction detection unit.

A vehicle dispatch device assigns a driver to a user on the basis of third evaluation values measuring how easily the user gets motion sickness due to driver's driving, each of the third evaluation values being obtained on the basis of a corresponding one of first evaluation values and a corresponding one of second evaluation values, the first evaluation values measuring, for the driver of a vehicle within a predetermined distance from a riding point of the user, driving skill in terms of a respective plurality of driving items which can induce motion sickness, the second evaluation values measuring how easily the user gets motion sickness due to the respective plurality of driving items.

This invention relates to an information processing apparatus, an information processing method, and a storage medium. An information processing apparatus includes: an acquisition unit that acquires vehicle information related to a vehicle; an evaluation unit that performs a driving-related evaluation for a specific driver based on the acquired vehicle information and whether multiple evaluation items are good or bad; a receiving unit that receives a selection regarding whether to notify the specific driver of test information concerning a predetermined test of driving skills performed by a predetermined organization; and a control unit that performs control to prioritize displaying a specific evaluation item among multiple evaluation items, other than a specific evaluation item related to a determined item concerning whether the specific driver will undergo the predetermined test, when the evaluation result is displayed on a display unit and the receiving unit has received a selection to notify the specific driver of the test information.