88 results about "Driving skills" patented technology

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 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.

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.

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 present application relates to the field of intelligent automatic driving, and particularly relates to a knowledge-driven end-to-end automatic driving method based on a sparse expert mechanism and a diffusion model. The method comprises the following steps: S1: perception information processing and state coding; S2: sparse expert module construction and multi-task training; a sparse expert module composed of multiple experts is constructed, and reusable driving skills are obtained through multi-task behavior cloning training; S3: diffusion strategy network and action sequence generation; based on the diffusion model, a future multi-step control action sequence is generated from the current state condition, and a continuous and stable driving decision is formed; and S4: continuous learning and task migration mechanism. The present application constructs a modular driving knowledge structure that is combinable and interpretable, significantly improves the strategy modeling capability; the diffusion generation mechanism effectively improves the smoothness and stability of the decision-making process; the continuous learning and task migration mechanism with structural decoupling improves the long-term adaptability and deployment efficiency of the system.

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 application provides an intelligent teaching method and system for road test training, relates to the technical field of driving training, and obtains real-time driving information and real-time environment information, inputs the real-time driving information and the real-time environment information into a driving risk degree prediction model, obtains real-time prediction risk degree, judges whether the real-time prediction risk degree is in a predetermined risk degree threshold, obtains real-time driving operation video through a vehicle-mounted camera, analyzes the real-time driving operation video to generate real-time teaching decisions, and dynamically optimizes teaching according to the real-time teaching decisions. The technical problem that the road test training mode in the prior art lacks real-time and accurate data support and targeted teaching optimization is solved. The technical effect that real-time driving information and environment data are combined, the driving behavior of students is comprehensively and real-timely evaluated, targeted teaching optimization is performed, and the driving skills of students are improved is achieved.

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.

The invention provides a motorcycle curve sideslip prevention driving method based on multi-source data fusion. The motorcycle curve sideslip prevention driving method comprises the following steps that S1, real-time data and historical data are collected; the real-time data comprises vehicle speed, slip rate, road surface environment data of the nearest curve in front, real-time driving data and motorcycle data; the historical data is historical driving data; s2, determining a road adhesion coefficient and a driving skill score; s3, inputting a curvature radius and a gradient in the road surface environment data, and the road surface adhesion coefficient, the driving skill score, the motorcycle data, the real-time vehicle speed and the slip rate into a trained critical speed generation model to obtain a critical speed of passing through the nearest curve in front; s4, determining a driving risk level according to a difference value between the real-time vehicle speed and the critical speed of the nearest curve in front; s5, curve driving control is conducted on the motorcycle according to the driving risk level; by means of the method, the critical speed matched with the driver and the motorcycle can be generated.

The application provides a new energy vehicle insurance method based on historical driving data, a medium and equipment, and the method comprises the following steps: obtaining historical driving behavior data of a target driver in a plurality of set time periods before a target time period; obtaining historical driving habit data and historical driving skill levels of the target driver in each set time period according to the historical driving behavior data; in the case that each historical driving skill does not meet a preset skill stability condition, predicting expected driving habit data and an expected driving skill level of the target driver in the target time period according to each historical driving skill level and each historical driving habit data; obtaining vehicle attribute information of a target vehicle, and using a UBI insurance model to obtain an insurance pricing strategy of the target vehicle in the target time period according to the vehicle attribute information, the expected driving skill level and the expected driving habit data. The technical scheme of the application can improve the accuracy of insurance pricing.

The present invention addresses the problem where multiple control modes for an on-vehicle actuator such as comfort, normal, and sports modes are available as functionalities to suit preferences of a driver but can only be switched manually by the driver and have been underutilized. A vehicle control device according to the present invention has a travel situation determination unit 109 and a driving skill determination unit 110. Control modes of on-vehicle actuators 102-104, which have hitherto been manually switched by a driver, are automatically switched on the basis of determination results regarding the driver's driving skill and the travel situation. As a result, the vehicle control device provides ride comfort and steering stability that are highly satisfactory for the driver.

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.

The invention discloses an all-hosted personal high-speed traffic system and method based on a special narrow gauge, and aims to solve the problems of congestion, high cost and dependence on driving skills of an existing expressway. The system comprises a special narrow gauge with the cross section size obviously smaller than that of a traditional lane, a personal carrier without a driving mechanism traveling on the special narrow gauge, power units arranged at intervals and a central control system. The user enters the carrier after identity verification and is controlled by the system in the whole process, and point-to-point high-speed passing without driving skills is achieved. An emergency request device is arranged in the carrier to deal with emergencies. According to the invention, the capital construction cost is greatly reduced through the narrow gauge design, the safety is ensured through all-hosted scheduling, and a revolutionary solution is provided for interurban traffic.