180 results about "Driving simulator" patented technology

A hybrid traffic flow testing method and system based on digital twin and virtual-physical integration includes steps as follows. Data of a realistic testing site is collected, and a virtual scene is created based on the digital twin, interactions between a realistic environment and a virtual environment are set up to achieve a system configuration of a system based on the virtual-physical integration. Virtual human-driven vehicles are generated based on a data set of the system configuration, and realistic human-driven vehicles are generated based on data collected by driving simulators operated by realistic human drivers. Human-driven vehicles are formed by combining the virtual and realistic human-driven vehicles, and status and location information of the human-driven vehicles are acquired. A set of sensing, positioning, planning, control, and V2X communication methods are set up based on the status and the location information for CAVs, thereby achieving autonomous driving.

The invention discloses an automatic driving scene generation method and electronic equipment, and the method comprises the steps: obtaining a driving scene material used for generating an automatic driving scene, and obtaining driving scene description information used for describing the automatic driving scene according to the obtained driving scene material through employing a multi-mode large model; based on the obtained driving scene description information, generating a road network structure in an automatic driving scene by using a multi-modal large model and a traffic simulation device; based on the obtained driving scene description information, obtaining a driving scene script file used for generating an automatic driving scene by using a multi-modal large model; according to the obtained driving scene script file and the automatic driving simulator, controlling traffic facilities and road obstacles in the automatic driving scene to be displayed in the generated road network structure, and controlling traffic participants in the automatic driving scene to move in the generated road network structure so as to obtain the automatic driving scene. Therefore, the generation rate of the automatic driving scene is improved.

In order to overcome the defects that in the prior art, driving simulation training duration statistics is extensive, training quality cannot be effectively evaluated, and system fault interference is likely to happen, the invention provides a driving simulation training effective class hour evaluation method and device, and the method comprises the following steps: S1, collecting operation parameters of a driving simulator and current training scene information; s2, dividing the collected data into independent time slices according to a preset time interval, and calculating an operation characteristic index in each time slice; s3, performing effective class hour and comprehensive quality evaluation by utilizing an intelligent evaluation module, wherein whether the operation characteristic indexes in each time slice are effective or not is preliminarily judged on the basis of the basic threshold parameters; in combination with current training scene information, querying a scene-operation rule base, dynamically adjusting a basic threshold parameter, and re-evaluating whether the operation characteristic index in each time slice is valid or not; and performing quality evaluation and effective class hour evaluation based on a multi-dimensional data fusion algorithm, and outputting an accumulated effective class hour and comprehensive quality evaluation report.

A vehicle control method, performed by a remote control system, includes receiving road sensor information transmitted from at least one roadside sensor when a target vehicle is on a road; generating, based on the road sensor information, a scene image depicting a scene in which the target vehicle is located; displaying the scene image through a display screen corresponding to a driving simulator; obtaining driving control operation information generated by the driving simulator in response to a driving control operation, the driving control operation information providing traveling instructions based on the driving control operation information for the target vehicle; and transmitting the driving control operation information to the target vehicle.

The method is mainly applied to the technical field of vehicle engineering. The invention discloses a virtual calibration method, device and equipment based on a driving simulator and a medium. A virtual test environment is constructed through a vehicle model of a target vehicle, a virtual test scene model and a chassis electric control system model. And executing driving operation and acquiring test data by utilizing human-computer interaction of the driving simulator, and further evaluating the vehicle performance. And when the performance parameters do not reach the preset indexes, optimizing the parameters of the chassis electric control system model according to the manual adjustment instruction until all the parameters reach the standard. And after reaching the standard, further adjusting the parameters by combining the subjective quantitative indexes of the driver, and determining the optimal performance parameters. The scheme is carried out in a virtual environment, so that the risk of real testing is avoided, and the safety is ensured; scenes and parameters can be quickly switched, and the calibration efficiency is improved; various working conditions can be simulated, and comprehensive evaluation is realized; lots of real vehicles and sites are not needed, and the cost is reduced.

The invention discloses an automatic driving evaluation benchmark construction method, system and device, and belongs to the technical field of automatic driving evaluation. The method comprises the following steps: analyzing original traffic regulations into atomic rules, and generating candidate rule pairs with hierarchical labels; performing space-time coexistence verification on the candidate rule pair, and constructing a hierarchical rule set; converting the hierarchical rule set into a text scene description and generating a structured semantic representation, then mapping the structured semantic representation into an automatic driving simulator, rendering and capturing a multi-view image sequence, and generating high-fidelity visual scene data; constructing a multi-choice question and answer pair based on the generated high-fidelity visual scene data, and forming an evaluation data set containing different cognitive levels; and training or evaluating an automatic driving model by using the evaluation data set, and optimizing a planning strategy of the model according to an evaluation result. The technical problem of automatic driving model evaluation is solved.

This application relates to the field of virtual simulation driving, and particularly to a method, medium and system for testing vehicle-road environment data in a virtual simulation environment, including receiving driving map data to form a driving map and a target analysis area; collecting vehicle data of a vehicle model in the virtual driving scene during driving in a driving simulator at a preset sampling rate, where the vehicle data includes vehicle coordinates and sampling time, and the vehicle data is formed by the driving simulator in response to a control signal sent by a driving operation device, and the control signal is formed based on the driving operation of an operator on the driving operation device; when the formed vehicle data is in the target analysis area, obtaining the human body data of the operator. This application can realize the control of the vehicle model in the driving simulator by the driving operation device, and can synchronously collect multi-modal data of the vehicle, road and human environment, improving the efficiency of multi-modal data synchronous testing and analysis.

The invention discloses a background vehicle anthropomorphic trajectory generation method for an automatic driving test scene, and the method comprises the following steps: extracting a plurality of groups of driving features in an interaction scene according to a set interaction logic, and carrying out the simulation training, so as to construct a driving simulator, driving characteristics in each group of interaction scenes are used as driving behavior data of a plurality of background vehicles, set driving styles are configured in a one-to-one correspondence manner, and a corresponding driving strategy is set for each driving style so as to construct a dynamic Bayesian game framework; the method comprises the following steps: acquiring a driving style of a background vehicle in any group of interaction scenes in real time to carry out iterative training on a multi-target utility function, calculating a profit value corresponding to the driving style of the background vehicle by utilizing the multi-target utility function, and selecting a corresponding driving strategy from a dynamic Bayesian game framework to generate a track control instruction; and performing personification optimization on the trajectory control instruction by using a random disturbance mechanism, thereby realizing multi-dimensional driving behavior dynamic generation and complex interaction logic accurate modeling.

The invention discloses a driving simulator motion prompting algorithm based on deep reinforcement learning. According to the method, a motion prompt control problem is modeled into a Markov decision process including a platform physical state, vehicle reference motion sensation and platform motion sensation; a near-end strategy optimization algorithm is adopted, a deep neural network intelligent body is trained to learn an optimal control strategy through a multi-target reward function fusing vestibular perception errors, working space boundaries and action smoothness, and the optimal control strategy is deployed in a real-time control system. Experiments show that the method ensures millisecond-level real-time calculation, meanwhile, the average error reproduced by motion feelings in each axial direction is reduced by about 13.6% compared with a model prediction control method and is reduced by about 42.4% compared with a classic wash-out filtering method, and the method has good universality and expansibility.

The embodiment of the invention provides a driving behavior adjustment method and device based on driving simulation equipment, a storage medium and a program product. In the embodiment of the invention, in the process that a driver uses a driving simulator and in the process that the driver uses driving simulation equipment to practice a target driving project, in response to an adjustment event for a vehicle part, an image frame of the driver is collected; identifying driving attitude information of the driver in the image frame through an attitude identification model; adjusting the pose information of the vehicle part according to the driving pose information; and the adjusted vehicle part is collected through the virtual camera simulating the human eyes to obtain the first virtual picture, so that the adjusted vehicle part is displayed in the virtual picture, the effect of adjusting the vehicle part across the air is achieved, a user does not need to manually use a physical or virtual button to adjust the visual angle, and the driving experience of a driver is improved.

The invention discloses a semi-physical simulation system of an underwater vehicle and a control method of the semi-physical simulation system, and relates to the technical field of simulation control. The control system comprises a simulation tester, a depth simulator, a three-axis simulation turntable, a real-time simulator, a rudder load simulator, a visual simulation system, a data acquisition and processing subsystem, a depth sensor, an airborne computer, an inertial unit system, an inertial navigation exciter, a gyroscope and a steering engine. In the integrated navigation system, a non-real-time part comprises a turntable control computer and a triple master console; the real-time part comprises a dynamics kinematics model, a three-axis simulation turntable, a GPS / DVL simulator, an electric thrust driving simulator, a depth simulator and a surge interference model; the underwater self-propelled body control system comprises a strapdown inertial navigation assembly, a control management center, a depth sensor, a rudder feedback potentiometer and a steering engine. The method can be used for semi-physical simulation of an underwater vehicle, and can simulate a navigation environment with variable depth.

Systems and methods for providing a real-time, augmented reality (mixed reality) simulation of an experience operating a semi-autonomous (e.g., SAE levels 2 to 5) vehicle are disclosed. In an exemplary embodiment, a user is presented with a simulated environment that allows the user to blend the immediate surroundings with interactive visual data representing various automated features ranging from ADAS (Automated Braking, Lane Keeping . . . ) to operating a fully autonomous vehicle. The first person perspective allows the user to get familiar with these vehicles before operating them in the real world. Additionally the interactions of the user with the semi-automated vehicles and automated features are recorded so they can be analyzed for future improvements.

The present invention relates to a technology related to a VILS-based test for an autonomous vehicle capable of performing a VIL test in an actual road environment by fusing actual surrounding vehicle information and surrounding vehicle information generated in a virtual environment. This VILS-based test system for an autonomous vehicle according to an embodiment may comprise: a sensor-fused precise positioning unit for estimating the current location of the vehicle on the basis of information collected from a GPS signal reception device, an in-vehicle sensor, and a LiDAR sensor; and an integrated processing unit for integrating real-world data collected from the sensors of the autonomous vehicle into a virtual environment of an autonomous driving simulator by applying an intelligent driver model (IDM) that approximates a driver's behavior and integrates responses.

The invention discloses a vehicle driving behavior safety assessment method and equipment based on expressway traffic data, which are characterized in that on the basis of the expressway traffic data, typical driving behavior information is constructed by extracting and processing original driving data in an expressway traffic data platform, and the weight of each index is assessed by applying an entropy weight method; according to the method, a vehicle driving behavior safety evaluation model is constructed, so that the purpose of evaluating the driving behavior safety in a numeralization and interval manner is achieved; according to the method, the problem of data accuracy which cannot be met by a detection technology based on a driving simulator is solved, the problem that the safety detection cost cannot be reduced by a real vehicle detection technology is also solved, and the shortage and deficiency of safety evaluation of vehicle driving behaviors on an expressway in the prior art are effectively made up.

The utility model discloses a kind of automobile driving simulator support devices, belong to automobile driving simulator auxiliary tool technical field.The support device includes support column, upper positioning piece, lower positioning piece and locking mechanism, wherein:upper positioning piece and lower positioning piece are U-shaped groove structure;The upper end of support column is connected with the outer bottom surface of upper positioning piece, and the bottom plate of upper positioning piece is not perpendicular to support column and is inclined to its side;The lower end of support column is connected with the outer bottom surface of lower positioning piece, and the bottom plate of lower positioning piece is perpendicular to support column;Locking mechanism is arranged on support column, for locking the cross bar in upper positioning piece;The lower edge of both side plates in lower positioning piece is equipped with limit plate, and limit plate is inclined to one side of lower positioning piece.According to the above design, the utility model can quickly support the main body of automobile driving simulator, and will not easily slip, and the supporting effect is excellent.

An unmanned aerial vehicle-based driving ability test system, method, device and storage medium, wherein the unmanned aerial vehicle-based driving ability test system (100) includes: an unmanned aerial vehicle (10) on which an autonomous driving system (11) is carried, and the autonomous driving system (11) is used to control the movement of the unmanned aerial vehicle; a driving simulator (20) for taking over the driving task by a driver to be tested and taking over the control of the movement of the unmanned aerial vehicle (10) by operating the driving simulator (20); a data acquisition module (30) for acquiring the behavior data of the driver operating the driving simulator (20) to analyze the driving ability of the driver according to the behavior data.

The utility model discloses an automobile driving simulator pedal and an automobile driving simulation device with the automobile driving simulator pedal. The automobile driving simulator pedal comprises a pedal body; the pedal base comprises a supporting plate and a base body, the pedal is arranged on the supporting plate, one end of the pedal is rotatably connected with the supporting plate, the supporting plate is rotatably arranged on the base body so as to adjust the inclination angle of the pedal, and the height of the base body in the vertical direction can be adjusted; and the pedal feeling simulator is connected between the supporting plate and the pedal. According to the automobile driving simulator pedal, the inclination angle of the pedal and the height of the pedal can be effectively adjusted, and the treading feeling of the pedal can be effectively simulated, so that the pedals of different automobile types can be effectively simulated, the universality of the automobile driving simulator pedal is effectively improved, and the working efficiency is effectively improved.

The invention provides an image display device capable of reducing the sense of incongruity of a rear image of a vehicle of a driving simulator. A video display device includes: a display unit that displays a partial region within a video of a virtual scene behind a vehicle of a driving simulator on an electron mirror of the vehicle; an estimation unit that estimates a viewpoint position of a driver riding the vehicle; and a control unit that controls the range of the partial region in the video on the basis of the relationship between the position of the electron mirror and the line-of-sight direction corresponding to the viewpoint position.

1. Name of the Design Product: Automobile Driving Simulator (High-end Hardware). 2. Use of the Design Product: The design product is used for automobile simulation driving. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The invention discloses a steering limiting device of a driving simulator, a steering gear box and a steering limiting method, and belongs to the technical field of driving simulation. The steering limiting device of the driving simulator comprises a steering shaft, and a calibration magnet is fixedly arranged at the center of the lower end face of the steering shaft; the bearing is sleeved and fixed on the steering shaft; the limiting disc sleeves and is fixed on the steering shaft, and a left limiting part and a right limiting part are arranged on the limiting disc; the supporting cover is fixed to the lower end of the bearing, the limiting disc is located in the supporting cover, and a probe hole and a limiting hole are formed in the supporting cover; the angle sensor is fixed on the supporting cover and corresponds to the position of the detection hole; and the telescopic limiting mechanism is fixed to the supporting cover, the telescopic end of the telescopic limiting mechanism can extend to penetrate through the limiting hole to be in limiting fit with the left limiting part or the right limiting part, and the angle sensor is electrically connected with the telescopic limiting mechanism. Compared with an existing steering limiting device, the overall size of the steering limiting device is greatly reduced, and the space occupied by the steering limiting device in a steering gear box is remarkably reduced.

This invention relates to the field of driver assistance technology, and in particular to a method for constructing a human-machine cooperative steering framework based on LQR and feedforward control. It includes proposing a second-order driver model describing the steering maneuver process based on a two-point preview model and a driver neuromuscular model. Based on this, key parameters in the driver model are obtained online through data acquisition from a driving simulator and feature parameter identification based on the least squares method. Then, a shared steering control behavior model of the driver-road-vehicle system is constructed by combining a two-degree-of-freedom vehicle dynamics model. Finally, a shared controller based on LQR and feedforward control is derived, the feedback and feedforward control quantities are solved, and the stiffness parameters of the shared controller are defined. Human-machine cooperative driving experiments were conducted on a driving simulator. This invention integrates driver characteristics into the design of the shared controller, improving the comfort of driver-controller cooperation while ensuring vehicle stability and path tracking capabilities, effectively enhancing human-machine trust.

[Problem] To improve a characteristic test performed for an engine while a vehicle is traveling. [Solution] This travel simulation evaluation system comprises: a bench device that rotationally drives a dynamo coupled to an engine by a coupling shaft member; and a travel simulator device. The bench device detects the actual shaft torque of the coupling shaft member and the dynamo rotation speed. An inertia correction unit of the travel simulator device subjects the actual shaft torque to an inertia correction in accordance with the amount of variation in the rotation speed of the engine or the dynamo rotation speed, thereby generating an estimated engine torque for the single engine body. A vehicle model unit computes the speed that is based on the rotation speed of a wheel of the vehicle if the vehicle travels at the estimated engine torque. A command rotation speed generation unit changes a command rotation speed in accordance with an operation state that would be achieved if the vehicle travels at the speed, and provides the engine with the rotation speed for a travel simulation.

The utility model relates to the technical field of steering wheel equipment, and discloses a foldable steering wheel for an automobile driving simulator, which comprises two half steering wheels, a locking mechanism, a connecting mechanism and a storage mechanism, the two half steering wheels respectively comprise a wheel body, first rotating shafts are respectively and rotatably arranged at the upper ends of the two wheel bodies close to the outer sides, and the first rotating shafts are connected with the locking mechanism. The upper ends of the two first rotating shafts are fixedly provided with bent handles towards the inner sides, the locking mechanism comprises an inserting groove plate and a sliding groove plate, the connecting mechanism comprises an inserting tongue plate and two semi-column groove blocks, and the containing mechanism comprises two second rotating shafts and four second air rods. According to the steering wheel, compact folding is achieved through the split design, the steering wheel is suitable for being stored in a limited space, the bent handle is automatically unfolded and folded through an air rod system, operation convenience is improved, it is ensured that the steering wheel is firmly connected with a simulator steering gear box through a connecting mechanism of the tongue inserting plate and the semi-column groove block, and stability and safety in the using process are ensured.

The application discloses a torque control method for a distributed drive electric vehicle based on model prediction control and relates to the technical field of automatic driving steering control, and solves the technical problem that vehicle control is insufficient in stability and energy saving, and the technical solution is as follows: in order to improve the stability of vehicle control and realize the energy saving of the distributed electric vehicle, a torque vector distribution framework is designed, total torque is generated according to the speed control demand of the upper driver, a proportional integral control algorithm is designed, and steering behavior is obtained through a driving simulator. Then, the optimized torque vector is distributed to the front axle and the rear axle. The lower layer generates direct yaw torque control input through the longitudinal differential force of the left wheel and the right wheel, so as to ensure the control stability of the vehicle.

This simulator is suitable for objectively evaluating consideration for others. [Solution] The driving simulator 10 acquires sensor information regarding the actions of the person being evaluated, controls the behavior of the simulated vehicle in the virtual space based on the acquired sensor information, and controls the behavior of NPC objects according to the behavior or state of the simulated vehicle. It then determines the behavior of the NPC objects according to the behavior or state of the simulated vehicle and evaluates the actions of the person being evaluated based on the determination result. This makes it possible to evaluate "consideration for others," which was difficult to evaluate in conventional simulators that only used the actions of the person being evaluated and the state of the simulated vehicle as evaluation criteria, based on the objective fact of "what actions others were forced to take." Therefore, consideration for others can be evaluated more objectively than in conventional systems.

The invention relates to the field of automatic driving, in particular to an automatic driving test method and device, a vehicle and a storage medium, and the method comprises the steps: determining a first driving scene corresponding to a vehicle platform and a second driving scene corresponding to a driving simulator; acquiring first driving data of a first operation object for operating the vehicle platform based on the first driving scene, wherein the first operation object is a driver or an automatic driving system; acquiring second driving data of a second operation object for operating the driving simulator based on the second driving scene, wherein the second operation object is a driver; and performing an automatic driving test according to the first driving data and / or the second driving data. Through deep coupling of the vehicle platform and the driving simulator, the driving data of the automatic driving system and the driver in the same driving scene or different driving scenes are obtained, the problems that the driving simulator cannot accurately restore the real response of the vehicle and the test scene is single are solved, and the effectiveness of the automatic driving test can be improved.

The present invention belongs to the technical field of automatic gear shifters for vehicle simulators, and particularly relates to an automatic gear shifter for a vehicle driving simulator, which comprises a housing, a gear operating lever and a gear selection and positioning mechanism; a central pull rod is arranged inside the gear operating lever, a laterally arranged limiting rod is provided at the lower end of the central pull rod, the limiting rod is limited and slides along a sliding limiting hole, a compression spring is sleeved at the lower end of the central pull rod, a gear limiting plate matched with the limiting rod is arranged at the limiting rod, the depth of the "P" gear limiting groove from the front side to the rear side on the gear limiting plate is lower than the depth of the "R" gear limiting groove, the depth of the "R" gear limiting groove is higher than the depth of the "N" gear limiting groove, the "N" gear limiting groove and the "D" gear limiting groove are on the same arc surface, and the depth of the "D" gear limiting groove is lower than the depth of the "S" gear limiting groove. The present invention can achieve the same switching from the P gear to the R gear, from the N gear to the R gear, and from the D gear to the S gear as that of an actual vehicle.

1. Name of this design product: Trailer Driving Simulator Chassis. 2. Purpose of this design: As a chassis for a trailer simulator. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The design relates to the chassis of a driving simulator. The design is primarily used for education, training and gaming. The design is manifested in the combination of the shape and pattern of the product. The view that best represents the design is a perspective view. A bottom view is omitted. The design sought to be protected does not include color. 1.1) Perspective view; 1.2) Right side view; 1.3) Left side view; 1.4) Plan view; 1.5) Front view; 1.6) Rear view

The invention discloses a multi-scene driving simulator and an interaction control method, and relates to the technical field of driving simulation. The simulator comprises a cabin main body, an attitude motion platform, an interaction control assembly, a scene rendering unit, an environment sensing unit, a central control unit, a data acquisition unit and a scene configuration module, the scene configuration module is internally provided with a multi-scene configuration library and supports rapid switching of scenes such as driving tests, racing cars, extreme road conditions and automatic driving simulation. The interaction control method comprises the steps of scene loading, parameter adaptive configuration, real-time signal acquisition, motion state resolving, synchronous linkage control and the like. The system realizes multi-scene compatibility, self-adaptive force feedback and low-delay real-time control, is high in simulation precision and expansibility, is suitable for driving training, entertainment simulation and automatic driving test, and has relatively high practicability and industrial application value.