78 results about "Driving simulator" patented technology

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.

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.

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 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.

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.

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 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.

The invention discloses an automobile high-order intelligent driving simulation test system, provides a simulation strategy and hardware platform configuration for an automobile high-order intelligent driving system, not only can realize basic ADAS function test, but also can realize tests of a pilot function, a parking function and the like of a driver in the loop. The system mainly comprises an upper computer configured with scene software, a lower computer configured with a vehicle dynamics model, a driving simulator and a tested domain controller. Wherein the scene software interacts with the lower computer, the driving simulator and the domain controller, and the lower computer interacts with the domain controller: vehicle dynamics parameters in the scene software are transmitted to a vehicle dynamics model of the lower computer, and feedback of the vehicle dynamics model is received; parameters of the vehicle dynamics model interact with the tested domain controller through the lower computer. The invention emphasizes that the driver needs to participate in the necessary test process, so that the function of the intelligent driving system can be tested in all directions.

The application relates to a virtual test method based on a driving simulator, which comprises the following steps: constructing a static environment part of a virtual test space and configuring the test vehicle, introducing the test vehicle and an artificially operated interference vehicle into the virtual test space, and completing the preparation before the test; performing the test in an actual test environment, controlling the interference vehicle to perform confrontation interference on the test vehicle through the driving simulator, obtaining recorded data of the test vehicle; constructing a dynamic part of the virtual test space based on the recorded data, forming a complete driving scene, evaluating the driving scene, and completing the virtual test on the driving control software. Compared with the prior art, the application has the advantages of high fitting degree, virtual-real combination and the like.

This invention provides a vehicle dynamics reverse engineering method and apparatus based on a driving simulator, relating to the field of vehicle design and development technology. It involves obtaining a set vehicle-level dynamic performance target, decomposing the target into at least one K&C performance characteristic index of the suspension system, and inversely mapping this index to physical design parameters. The physical design parameters are then verified, and verification results are obtained. These results are compared with the vehicle-level dynamic performance target, and the final physical design parameters are output based on the comparison results. This invention achieves efficient and accurate reverse engineering from user-defined vehicle-level dynamic performance targets to physical design parameters, while deeply integrating the verification results into the early development closed loop. This solves the problems of target disconnect, high iteration costs, and low optimization efficiency in the vehicle chassis development process.

The invention relates to a driving simulator. The driving simulator does not make a user feel uncomfortable in focal length when looking at scenery and interior decoration, and enables the user to see the scenery blocked by an operation cabin even when the body of the user is raised from the operation cabin. A driving simulator (1) is provided with an image control device (6). The video control device (6) displays a simulation image assumed during the travel of the vehicle on the screen (5), and displays an interior decoration image corresponding to the interior decoration data of the specified vehicle type on the display unit (21).

1. Name of the product in this design: Driving Simulator. 2. Purpose of this design: This design is used for simulating car driving. 3. The key design features of this product are its overall shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

A vehicle driving simulator includes a steering wheel, a picture generator, a display surface, a laser light source, and a conversion unit. The picture generator is configured to generate an on-road picture. The on-road picture is displayable on the display surface. The laser light source is configured to generate a laser pattern on the display surface. The conversion unit is configured to convert rotation of the steering wheel into displacement of the laser light source in a horizontal direction.

The utility model relates to the field of automobile driving simulators, and discloses an automobile driving simulator steering mechanism which comprises a fixing table, a plurality of connecting columns are fixedly connected to the bottom of the fixing table, a bottom frame is fixedly connected to the bottoms of the connecting columns, and a plurality of driving wheels are rotationally connected to the side wall of the bottom frame. A first motor is fixedly connected to the upper surface of the bottom frame, a first chain wheel system is fixedly connected to the output end of the first motor, a first connecting shaft is fixedly connected to the interior of the first chain wheel system, the multiple movable wheels are fixedly connected to the two ends of the first connecting shaft, and a second motor is fixedly connected to the bottom of the fixing table. The output end of the second motor is fixedly connected with a second chain wheel system. According to the driving simulator, through cooperation of the chassis, the second chain wheel system, the steering table and other structures, torque influence and torque sudden change possibly occurring in the driving simulation process are reduced, during long-time driving or frequent steering, the muscle burden and fatigue feeling of a driver are effectively relieved, and the use experience of the driving simulator is optimized.

The utility model discloses an angle limiting mechanism for a driving simulator, which comprises a limiting cylinder, a slip ring is axially and slidably mounted in the limiting cylinder, the slip ring and the limiting cylinder are coaxial, two axial ends of the limiting cylinder can prevent the slip ring from slipping out, threads are arranged on the inner wall of the slip ring, and the threads and the slip ring are coaxial. The angle limiting mechanism for the driving simulator has the advantages that the angle limiting mechanism for the driving simulator limits the reciprocating movement stroke of the sliding ring through the limiting cylinder to ensure that an automobile steering device runs safely and is not affected by failure of the road feeling simulator, potential safety hazards caused by excessive steering stroke are eliminated, driving safety is ensured, and mechanical limiting reliability is high.

A steer-by-wire steering system of a vehicle having a drive simulator includes: an operation device including an operation member to be operated by a driver and a reaction force applying device configured to apply an operation reaction force against an operation of the operation member; a steering device including a steering motor that is an electric motor as a drive source and configured to steer a wheel; and a controller configured to control the steering device and the reaction force applying device. In a simulator mode in which the drive simulator functions, the operation device is used to operate a simulation vehicle to be operated in the drive simulator. In the simulator mode, the controller causes the reaction force applying device to apply the operation reaction force including a vertical-acceleration-dependent component based on a signal relating to vertical acceleration of the simulation vehicle and sent from the drive simulator.

The application provides a driving simulation system, comprising various types of driving simulators, a modular graphics rendering chassis and a central processing unit; the modular graphics rendering chassis comprises a chassis body, and a plurality of pluggable lane graphics rendering board cards and lane graphics rendering board card switching circuits arranged in the chassis body; the lane graphics rendering board card switching circuits are electrically connected with the central processing unit and each lane graphics rendering board card respectively, and the image signal output ends of each lane graphics rendering board card are electrically connected with each type of driving simulator. Through a plurality of preset physical level lane graphics rendering board cards, the lane graphics rendering board card switching circuit can quickly switch to different lane graphics rendering board cards, realize the quick switching and combination of various tunnel scenes, and greatly improve the tunnel scene reconstruction efficiency.

The utility model discloses an anti-dizziness driving simulator which comprises a simulator body, an arc-shaped shell is arranged at the upper end of the simulator body, an arc-shaped limiting rod is arranged in the arc-shaped shell, a supporting shell is connected to the interior of the arc-shaped shell in a sliding mode, a first limiting opening is formed in one end of the supporting shell, and an arc-shaped rack is arranged in the arc-shaped shell. One end of the supporting shell is rotatably connected with a gear, a second limiting opening is formed in one end of the supporting shell, a spherical limiting block is rotatably connected into the second limiting opening, a limiting hole is formed in the outer side of the spherical limiting block, a camera is arranged in the limiting hole, a sliding groove is formed in the supporting shell, and an electromagnet is arranged in the sliding groove; a sliding block is slidably connected into the sliding groove, a magnetic block is arranged at one end of the sliding block, a driving rod is rotatably connected into the supporting shell, and one end of the driving rod is rotatably connected with a connecting rod. According to the utility model, the camera can be adjusted more flexibly, the eye state of a driver can be monitored better, and the dizziness of the driver can be eliminated in time.

1.The name of the design product: graphical user interface of car intelligent cockpit system for electronic device. 2.The use of the design product: running program and display interface. 3.The design points of the design product: the graphical user interface in the screen. 4.The picture or photo that best shows the design points: design 1 front view. 5.The usual design, omit the rear view, left view, right view, top view, bottom view of design 1 to design 5. 6.Specify design 1 as the basic design. 7.The use of the graphical user interface: human-computer interaction interface for car intelligent cockpit. 8.The change state of the graphical user interface: design 1 front view is the display interface of vehicle prohibited state, click the “…” button in the interface of design 1 front view, the interface jumps to design 1 interface change state figure 1, through voice, the interface jumps to design 1 interface change state figure 2; design 2 front view is the display interface of vehicle running state, through voice, the interface jumps to design 2 interface change state figure; design 3 front view is the vehicle related setting interface, click the “setting” button of design 3 front view, the interface jumps to design 3 interface change state figure; design 4 front view is the vehicle system setting interface; design 5 front view is the display interface of all applications, click any interface of design 5 front view, the interface jumps to design 5 interface change state figure 1, click the “×” button of design 5 interface change state figure 1, the interface jumps to design 5 interface change state figure 2, click and pull down the “‑‑‑‑” button in design 5 interface change state figure 2, the interface jumps to design 5 interface change state figure 3. 9.Other circumstances that need to be explained: the screen panel can be used for driving simulator, car central control screen, mobile phone, computer, tablet computer.

The utility model relates to the technical field of ship unloaders, in particular to a driving simulation cabin, which comprises a sitting assembly, a chair, a control frame arranged on the side edge of the chair, operating tables arranged on the two sides of the chair, a display arranged on the outer side of the chair, and a positioning assembly which is arranged at the bottom of the chair and can be fixed in a sliding manner, when sitting on the chair, an operator can see a picture on the surface of the display; the position of the chair can be changed through the moving assembly, an operator can conveniently enter and exit the cabin body, the positioning toothed plate can clamp the tooth groove and fix the position of the chair, so that the relative position of the chair and the operation table is adjusted, the operator can conveniently drive the ship unloader, and the operator can conveniently enter and exit the ship unloader by changing the position of the chair before driving and after driving is completed.

A virtual production apparatus, including: a motion control platform used for virtual production, the motion control platform integrated and controlled to enable synchronization with camera cranes, the driving simulators and virtual production stages, wherein the motion control platform is designed to increase gross moving load, increase available movement types, and lower a minimum height to enable loading of vehicles or objects onto the platform.

The application discloses a method for automatic driving behavior planning based on space-time characteristic perception and related devices, which comprises the following steps: determining a state space, an action space and a reward function of an automatic driving model according to an automatic driving simulator, constructing a partially observable Markov decision process (POMDP), establishing a deep neural network model for space-time characteristic perception, configuring training parameters for the deep neural network model for space-time characteristic perception, executing the automatic driving simulator and interacting with a deep reinforcement learning agent, and establishing a time-sequenced vehicle running state cache and extracting training data for the automatic driving simulation process. The application can mine potential space-time correlation information between vehicles from limited perception information, limit the calculation and analysis of invalid information, and thus realize more accurate and efficient control decisions generated by the system.

The invention provides an attitude smoothing method based on an improved three-degree-of-freedom driving simulator washout algorithm, and belongs to the field of driving simulator control. The method comprises the following steps: acquiring transverse, longitudinal and vertical accelerations, a rolling angular velocity and a pitching angular velocity of the simulator; outputting basic components of a roll angle and a pitch angle through proportional scaling, Butterworth high-pass filtering, local weighted scatter smoothing and primary integration of an angular velocity channel; after the acceleration data is subjected to specific force conversion and proportional scaling, the acceleration data is subjected to high-pass filtering, integration, local weighted scatter smoothing and secondary integration through an acceleration channel, and vertical displacement and pitch angle supplementary components are output; the inclination channel outputs complementary components of a rolling angle and a pitch angle through low-pass filtering, specific force and inclination angle linear mapping coordination and angular velocity amplitude limiting; and finally synthesizing and outputting a total roll angle, a total pitch angle and up-down displacement. The local weighted scatter smoothing technology is introduced, vertical displacement is supplemented, and the dynamic reality sense, the operation comfort and the use experience of the simulator are improved.

A virtual production apparatus, including: a motion control platform used for virtual production, the motion control platform integrated and controlled to enable synchronization with camera cranes, the driving simulators and virtual production stages, wherein the motion control platform is designed to increase gross moving load, increase available movement types, and lower a minimum height to enable loading of vehicles or objects onto the platform.

The application discloses a background vehicle personification trajectory generation method for an automatic driving test scene, and comprises the following steps: extracting driving features in a plurality of interactive scenes according to a set interactive logic to perform simulation training, thereby constructing a driving simulator; and taking the driving features in each interactive scene as driving behavior data of a plurality of background vehicles, configuring the driving behavior data with a set driving style one by one, setting a corresponding driving strategy for each driving style to construct a dynamic Bayesian game framework; obtaining the driving style of the background vehicles in any interactive scene in real time, performing iterative training on a multi-objective utility function, calculating the corresponding income value of the driving style of the background vehicles by using the multi-objective utility function, selecting a corresponding driving strategy from the dynamic Bayesian game framework to generate a trajectory control instruction, and performing personification optimization on the trajectory control instruction by using a random disturbance mechanism, so that multi-dimensional driving behavior dynamic generation and complex interactive logic accurate modeling are realized.

1. Name of the product in this design: Bucket Chair (Carbon Fiber F Model). 2. Intended use of this design: for use in special environments such as automobile, airplane, or industrial robot operating rooms, driving simulators, etc., for people to ride in. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.