57 results about "Driving skills" patented technology

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.

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.

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.

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.

A driver assistance apparatus includes an environment recognition unit, a travel state detection unit, a driver assistance control unit, and a driving skill estimation unit. The driver assistance control unit makes a driver assistance control based on an output of the environment recognition unit regarding the environment and an output of the travel state detection unit regarding travel state. The driver assistance control includes assisting a driver in driving in one or both of entering a curved road and traveling along the curved road. The driver assistance control unit changes contents of the driver assistance control, in accordance with the driving skill of the driver estimated by the driving skill estimation unit. The driving skill estimation unit makes the estimation of the driving skill at least once in each driving cycle of the vehicle.

The invention discloses a driving skill teaching method and system based on subject disassembly and dynamic adaptation, and aims to solve the problems that in the prior art, subitem recognition precision is insufficient, teaching lacks individuation, a scoring mechanism is simple, and multi-site adaptation is poor. According to the core scheme, a traditional driving subject is disassembled into single skill basic subitems, and a gradual teaching path with gradually increased difficulty is constructed; multi-dimensional vehicle operation data are collected through GNSS positioning, a sensor and the like, and integrated subject subitem dynamic recognition is achieved through track matching and a multi-dimensional data fusion algorithm after processing; combined with multi-level teaching and check point management, teaching contents and prompt levels are dynamically adjusted according to real-time operation states of students; and a multi-dimensional comprehensive scoring mechanism is adopted, and multi-site automatic adaptation is realized through standardized site data management. According to the invention, refining, intelligence and standardization of driving teaching are realized, teaching pertinence and evaluation objectivity are improved, and operation and maintenance cost is reduced.

1. Name of the product in this design: Driving test simulator (KST-211). 2. Purpose of this design: To assist in driver's license test training by simulating real driving scenarios to help learners master driving skills. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention comprises: an environment information acquisition unit 101 that acquires mobile body information pertaining to a mobile body and surrounding environment information pertaining to the surrounding environment of the mobile body; an operation information identification unit 102 that identifies operation information, which is information pertaining to an actual operation executed by a driver, on the basis of the surrounding environment information; a model operation calculation unit 104 that calculates a model operation, which the driver should execute, on the basis of the surrounding environment information; a transition operation calculation unit 105 that uses the operation information and the model operation to calculate model operation information for transitioning from an actual operation to the model operation; a virtual space construction unit 106 that virtually constructs a space, in which driving was performed, from the surrounding environment information; and an output unit 107 that outputs the actual operation and the model operation information together in the space. Thus, the present invention provides a driving assistance device, a driving assistance system, and a driving assistance method that contribute to further improving the driving skill of a driver.

The utility model relates to automobile simulation device especially driver emergency brake simulation training device, including bottom plate etc. The utility model discloses have the electric telescopic link, fixed cylinder and piston plate etc. part, when the display picture comes to the situation of emergency brake, close the plugging device, and then the plugging device does not jam the gas outlet, and then the fixed cylinder inner pressure and the outside communication, and then the first elastic piece reset pushes the piston plate, and the piston plate is driven the sliding plate quick movement through the piston rod, and then make the impact plate hit the buffer plate, and the third elastic piece is the sliding plate as the buffer, and the airbag on the simulation platform is opened simultaneously, and the safety belt can provide the security guarantee for the user, so this simulation can not only help the driver to perceive the body reaction and vehicle reaction when braking, enhance the physical perception ability of the driver, improve the driving skill.

To provide an information processing device, an information processing method, and an information processing program for evaluating driving skill of a driver in time series.SOLUTION: An information processing device includes: an acquisition unit that acquires a plurality of pieces of trip vehicle information generated in a vehicle driven by the same driver and including position information and time information; a determination unit that compares the trip information at a plurality of different timing based on a plurality of time information at a plurality of same points recorded in the plurality of position information, and determines whether or not change equal to or greater than a predetermined value has occurred in a travel history of the vehicle recorded in the vehicle information; and a guidance unit that provides predetermined guidance to the driver when the vehicle drives through the same location in the future in a case where the determination unit determines that the change has occurred.SELECTED DRAWING: Figure 1

Provided is a route generation device that, when a user sets a destination, generates a route plan that takes into account the preference of the user, and that, when it is possible to avoid an ACC / CACC vehicle group or to merge with ACC / CACC vehicles, can provide a route (travel route) that can be actively followed on the basis of the preference of the user. When a user sets a destination, a travel route is generated in consideration of user preference, driving level, and an automatic driving-enabling section. When the vehicle travels in parallel with the ACC / CACC vehicle group on the own vehicle travel path, it is possible to prevent the travel path from being obstructed by the ACC / CACC vehicle group by pre-generating a travel path that avoids the ACC / CACC vehicle group. When passing through the section outside the automatic driving range from within the automatic driving range, the driving route including the section outside the automatic driving range is generated by considering the driving skill level and the driving frequency of the user, thereby making it possible to reduce the discomfort of the driver who is uncomfortable to the driving skill.

This application relates to the automotive field, specifically to a vehicle intelligent driving cooperative control method and device, an in-vehicle infotainment system, and a vehicle. The method includes: real-time acquisition of driver's driving state parameters and intelligent driving system state parameters. The driving state parameters include the driver's biological parameters and / or driving skill parameters, while the intelligent driving state parameters include current environmental parameters and / or the intelligent driving system's system physical parameters. Based on the driving state parameters and intelligent driving state parameters, corresponding driver functions and intelligent driving system functions are assigned to the driver and intelligent driving system, respectively. The driver functions are executed based on the driver's driving operations, and the intelligent driving system functions are executed based on the intelligent driving system's actions. The vehicle intelligent driving cooperative control method and device, in-vehicle infotainment system, and vehicle provided by this application achieve the technical effect of reducing operational conflicts between the driver and the intelligent driving system while more clearly defining responsibility for driving accidents.

The invention discloses a method and system for assisting a green driver in improving driving skills, and relates to the technical field of automobile intelligent assistance, and the method comprises the steps: S1, obtaining driving information: obtaining driving-related multi-source information provided by a vehicle system through a vehicle machine central control system, and enabling the multi-source information to be used for representing a current driving environment and a vehicle state; s2, scene element analysis: performing analysis based on the multi-source information by the vehicle end novice driver auxiliary application; s3, element cloud uploading; s4, prompt content is generated; s5, prompting content presentation; and S6, prompting strategy adjustment. In a real-time driving scene, a cloud skill knowledge base is combined with Internet video resources for matching, skill prompt content matched with the current scene is generated based on core elements, and characters, graphical representation or video demonstration is pushed to a vehicle end, so that assistance is more intuitive and easy to understand during driving, and the practicability and learning effect of the prompt content are improved.

The invention provides a personalized riding suggestion implementation method of a two-wheeled vehicle driving technology, aiming at solving the problems that the traditional two-wheeled vehicle driving suggestion lacks quantitative basis, is insufficient in personalization, is not visual in interaction and the like. Multi-dimensional information such as the vehicle speed, the accelerator opening degree and the acceleration is obtained through a vehicle CAN bus, an IMU, a BMS and auxiliary parameters; extracting features from five dimensions of accelerator aggressive degree, brake smoothness, driving smoothness, curve smoothness and curve exploratory performance; generating a multi-dimensional driving skill scoring vector by combining a rule engine for threshold judgment and a lightweight model for feature modeling; and splitting the target into specific tasks, displaying progress comparison scores and target output customized suggestions in real time, and generating a riding report containing a historical trend and an improved path. According to the method, quantitative evaluation and closed-loop improvement of driving behaviors are realized, and the driving skill and safety of the user are improved.

A driving skill evaluation method according to one embodiment of the disclosure includes: generating a kernel density estimation image, based on time-series data of a first parameter corresponding to a direction change in a traveling direction of a vehicle, and time-series data of a second parameter indicating a square of a jerk in the traveling direction of the vehicle; and evaluating a driving skill of a driver of the vehicle, by comparing the kernel density estimation image with a reference image.

We provide the system. [Solution] A means of recognizing surrounding signs and traffic conditions using an in-vehicle camera, A means of using an artificial intelligence algorithm to provide instructions to the driver based on recognized signs and traffic conditions, A means of collecting vehicle driving behavior data, analyzing that data, and scoring the driver's driving skills, A means for generating data to reflect the scoring results in insurance premiums, Means for sending analysis results and scoring data to a server, A system that includes this.

To solve the problem that a plurality of control modes of an on-vehicle actuator, for example, comfort, normal, sports and the like are prepared as a function matched with preferences of a driver, but the driver only manually switches the modes and the modes are not utilized.SOLUTION: A vehicle control device has a traveling situation determination unit 109 and a driving skill determination unit 110. Control modes of on-vehicle actuators 102 to 104, which have previously been manually switched by a driver, are automatically switched based on determination results of a traveling situation and a driving skill of the driver. As a result, the vehicle control device provides ride comfort and steering stability that are highly satisfactory for the driver.SELECTED DRAWING: Figure 1

This invention discloses a customizable car driving simulation visual system and method, relating to the field of car driving simulation technology. The system includes: a customizable guidance selection module, a scenario simulation module, an emergency response module, and a knowledge base module. The customizable guidance selection module is used to customize the driving visuals of the main interface; the scenario simulation module is used to simulate driving scenarios that violate traffic safety regulations; the emergency response module is used to simulate the appropriate response methods for vehicles in emergency situations; and the knowledge base module is used to learn traffic rules and provide traffic rule exams. Based on real car driving training subjects, it provides various car models, weather conditions, subject areas, and special scenarios to diversify the training environment. The main interface adopts a customizable modular car driving simulation visual method, allowing trainees to quickly select the functions of each module through customizable guidance selection, shortening simulated driving training time and improving the learning of simulated driving skills.

A vehicle drive assist apparatus includes one or more processors and one or more memories. The one or more memories are communicably coupled to the one or more processors. The one or more processors are configured to acquire road condition information of a road where a vehicle is traveling, drive skill information of a driver who drives the vehicle, and drive assist necessity information of the vehicle. The one or more processors are configured to determine which of preset road condition categories applies based on the acquired road condition information. The one or more processors are configured to determine which of preset drive skill categories applies based on the acquired drive skill information. The one or more processors are configured to execute, based on the acquired drive assist necessity information, a drive assist process for the vehicle depending on the determined road condition category and the determined drive skill category.

The application discloses a driving skill training method and system combined with virtual reality, and belongs to the technical field of driving simulation. The method comprises the following steps: generating a plurality of driving scenes according to a virtual reality driving simulator; training a user to perform driving simulation in the plurality of driving scenes according to a VR wearing device, and obtaining a plurality of sets of driving simulation data sets; constructing a driving operation scoring model; inputting the plurality of sets of driving simulation data sets into the driving operation scoring model, analyzing each set of driving simulation data set according to the driving operation scoring model, and outputting a plurality of driving operation scoring results; and generating a driving skill training report according to the plurality of driving operation scoring results. The application solves the technical problem that the driving skill training in the prior art lacks personalized and data-based evaluation, so that the trainee cannot obtain targeted training and feedback according to the own performance.

A driving skill evaluation method according to the embodiment of the present disclosure includes performing detection processing for detecting a curve on the basis of travel data relating to a vehicle and performing evaluation processing for evaluating a driving skill of a drive of the vehicle on the basis of the travel data acquired in the curve. The evaluation processing includes: generating a first kernel density estimation image on the basis of the travel data acquired in a first curve detected by the detection processing; calculating a plurality of first similarities between the first kernel density estimation image and a plurality of reference images associated with each of a plurality of curves that do not include the first curve and calculating a first average similarity that is the average of the plurality of first similarities for each of the plurality of curves; and evaluating the driving skill of the driver of the vehicle on the basis of the first average similarity indicating the highest similarity from among the plurality of first average similarities.

The invention discloses an intelligent automobile VR virtual driving experience system, and particularly relates to the technical field of VR, the intelligent automobile VR virtual driving experience system comprises a bottom plate, the top of the bottom plate is fixedly connected with a left-right adjusting mechanism assembly, the inner bottom wall of the left-right adjusting mechanism assembly is fixedly connected with a first bearing frame, and the inner wall of the first bearing frame is in bearing connection with a first fixing rod; the outer wall of the first fixing rod is fixedly connected with a first gear disc. According to the invention, through the arrangement of the overall adjusting mechanism assembly, the real experience of driving a vehicle body to rotate and jolt during vehicle collision is simulated through the mutual cooperation of a motor, a gear and a toothed bar, so that a driver can conveniently understand and process emergencies during vehicle driving subsequently, the driving skill of the driver is improved, and the driving experience of the driver is improved. According to the automobile VR virtual driving experience system, the safety of the driver during follow-up driving on the road is guaranteed, meanwhile, the manufacturing cost of the automobile VR virtual driving experience system is reduced, and the energy loss of the automobile VR virtual driving experience system during driving is reduced.

Provided is a driving skill evaluation system according to one embodiment of the present disclosure, in which the following three steps can be executed. (1) Identifying a driver on the basis of driver data of a vehicle, and calculating a margin of the driver with respect to a driving operation, on the basis of travel data of the vehicle. (2) Performing a skill evaluation of the driver of the vehicle on the basis of the travel data and the margin. (3) If the margin is equal to or greater than a first threshold, outputting the skill evaluation during a period in which the margin is maintained at a value equal to or greater than the first threshold. If the margin is smaller than the first threshold, outputting the skill evaluation from when the margin was smaller than the first threshold, after the margin had risen to a value equal to or greater than the first threshold or after the calculation of the margin has been completed.

This invention discloses a train driving action training system, including an image acquisition module that constructs a dedicated dataset for standardized operational gestures specific to locomotive crew members, retaining only the driver's hands, arms, and key gesture areas to eliminate irrelevant background interference; an image annotation module for annotating, quality checking, and correcting the original gesture images; and a model training module that employs the YOLO11s object detection algorithm, enhancing operation by disabling redundant data to ensure the accuracy of gesture recognition. Through the collaborative work of the image acquisition module, model training module, and real-time recognition training module, and by employing the YOLO11s object detection algorithm and optimizing training for locomotive driving-specific gestures, this invention achieves automated, batch, real-time, and continuous monitoring of locomotive driver finger and verbal gestures. It effectively solves the technical pain points of low efficiency and insufficient accuracy in traditional manual verification, significantly improving the efficiency and accuracy of locomotive crew member gesture checks.