Multi-scene driving simulator and interaction control method

Abstract

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.

Description

Technical Field

[0001] This invention relates to the field of driving simulation technology, specifically to a multi-scenario driving simulator and interactive control method, applicable to various scenarios such as driver's license test training, racing simulation, special vehicle training, and autonomous driving simulation testing. Background Technology

[0002] Existing driving simulators generally suffer from the following technical defects: The scenario is limited, only supporting fixed roads or racing scenarios, and cannot adapt to the needs of switching between multiple scenarios such as driving tests, special operations, and extreme road conditions; The interaction method is outdated, with basic control only achieved through the steering wheel and pedals, lacking the ability to interact with posture linkage, force feedback adaptation, and environmental awareness. The hardware and software are highly coupled, requiring a complete system reconstruction for scene switching, resulting in poor scalability and high training and testing costs. The high latency in data acquisition and control response makes it impossible to meet the requirements of high-precision simulation and closed-loop testing of autonomous driving.

[0003] Therefore, the present invention provides a driving simulator and control method that can quickly switch between multiple scenarios and has adaptive interactive control. Summary of the Invention

[0004] Purpose of the invention To address the shortcomings of existing technologies, this invention provides a multi-scenario driving simulator and interactive control method, which enables rapid adaptation to multiple scenarios, adaptive force feedback, attitude linkage simulation, and low-latency interactive control, thereby improving the simulation realism and scenario scalability, and reducing training and testing costs. Technical solution

[0005] A multi-scenario driving simulator includes a cockpit main body, an attitude motion platform, an interactive control assembly, a scene rendering unit, an environmental perception unit, a central control unit, a data acquisition unit, and a scene configuration module; The attitude motion platform is located at the bottom of the cockpit body and is used to realize the three-degree-of-freedom attitude linkage of pitch, roll and rise; The interactive control assembly includes a steering wheel, clutch / brake / accelerator pedals, a shift mechanism, a force feedback actuator, and a haptic feedback module. The scene rendering unit includes a high-definition curved display screen, a VR headset, and an audio simulation module, used to output visual and auditory scenes; The environmental sensing unit includes a light sensor, a vibration sensor, and a distance simulation sensor, which are used to collect virtual environment parameters. The scenario configuration module has a built-in multi-scenario configuration library, including driving test scenarios, urban road scenarios, highway scenarios, extreme road condition scenarios, and special vehicle operation scenarios, which support one-click switching and custom editing; The central control unit is connected to the attitude motion platform, the interactive control assembly, the scene rendering unit, the environment perception unit, the data acquisition unit, and the scene configuration module, respectively, and is used to achieve adaptive interactive control according to the scene type and control signals.

[0006] A multi-scenario driving simulator interactive control method includes the following steps: (1) The scene configuration module loads the target scene configuration file, and the central control unit parses the scene parameters, including road condition type, vehicle type, environmental conditions, and interaction rules; (2) The central control unit adaptively configures the force feedback intensity, attitude motion amplitude, rendering frame rate and feedback delay threshold according to the scene parameters; (3) The data acquisition unit collects the control signals of the interactive control assembly and the environmental simulation signals of the environmental perception unit in real time; (4) The central control unit filters and calculates the control signals, and generates vehicle motion state and scene change commands in combination with the scene physical model; (5) The central control unit synchronously drives the posture motion platform to perform posture linkage, drives the interactive control assembly to output adaptive force feedback, and drives the scene rendering unit to output corresponding visual and auditory effects. (6) Execute real-time acquisition and control output in a loop until the scene is switched or the simulation ends. Beneficial effects

[0007] Multi-scenario compatibility: Built-in standardized scenario library and supports custom expansion, one device can adapt to multiple applications such as driving test, racing, special operation, autonomous driving simulation, etc., with strong versatility; Adaptive Interaction: Automatically adjusts force feedback, posture amplitude, and response latency according to the scene type, making the handling feel closer to that of a real vehicle; Low-latency control: It adopts a parallel data acquisition and real-time control architecture, with a control response latency of less than 10ms and high simulation accuracy; High scalability: Modular hardware design and software scenario decoupling facilitate upgrades and maintenance, significantly reducing usage costs; It has a wide range of applications: it can be used for both human driving training and closed-loop testing of autonomous driving algorithms, and has high industrial application value. Attached Figure Description Figure 1 This is a schematic diagram of the overall structure of the multi-scenario driving simulator of the present invention, wherein: 1 is the main cockpit, 2 is the scene rendering unit, 3 is the posture motion platform, 4 is the interactive control assembly, and 5 is the central control unit.

[0008] Figure 2 This is a block diagram of the system modules of the present invention, wherein: 1 is the scene configuration module, 2 is the data acquisition module, 3 is the environment perception unit, 4 is the force feedback control submodule, 5 is the attitude control submodule, 6 is the scene rendering scheduling submodule, and 7 is the central control unit.

[0009] Figure 3 This is a schematic diagram of the interactive control method of the present invention, wherein: 8 is the start box, 9 is the scene configuration loading step, 10 is the adaptive configuration parameter step, 11 is the real-time acquisition of control and environmental signals step, 12 is the motion state calculation step, 13 is the drive actuator step, 14 is the scene switching / simulation end judgment step, and 15 is the end box. Detailed Implementation Example 1 (Driving test scenario) When a user selects a driving test subject 2 scenario, the scenario configuration module loads the corresponding configuration file. The central control unit sets the low-posture motion amplitude, standard force feedback intensity, and low-speed control logic. The data acquisition unit collects the steering wheel angle and pedal travel in real time. The central control unit calculates the vehicle status based on the parking space and the distance to the edge line, drives the scenario rendering to display the markings and parking space, and simultaneously provides tactile feedback to alert users of the risk of crossing the line.

[0010] Example 2 (Racing Scene) When a user selects a racing track scene, the central control unit automatically increases the force feedback intensity and attitude movement amplitude, improves the rendering frame rate, and reduces control latency. When the vehicle turns, collides, or drifts, the attitude platform moves synchronously, and the interaction assembly outputs corresponding road feel feedback to achieve a highly realistic racing simulation.

[0011] Example 3 (Extreme Road Condition Scenario) When a user selects a rain or snow extreme road condition scenario, the environmental perception unit simulates slippery road surface parameters, the central control unit adjusts the vehicle dynamics model to reduce the simulated tire adhesion value, and the interactive control assembly reduces the force feedback damping to simulate a slipping state, thus enabling training for special road conditions.

[0012] Example 4 (Autonomous Driving Test Scenario) When performing autonomous driving simulation tests, the scenario configuration module loads the test scenario, the data acquisition unit collects autonomous driving control commands, and the central control unit outputs vehicle status and environmental feedback in a closed loop to realize algorithm iteration testing.

[0013] Example 5 (Custom Scenario) Users can edit custom scene parameters (such as mountain roads, nighttime lighting, and sudden obstacles) through the scene configuration module. The central control unit loads the new configuration in real time and adjusts the hardware interaction parameters synchronously to realize personalized simulation scenes.

Claims

1. A multi-scenario driving simulator, characterized in that, It includes the cockpit body, attitude motion platform, interactive control assembly, scene rendering unit, environmental perception unit, central control unit, data acquisition unit, and scene configuration module; The attitude motion platform is located at the bottom of the cockpit body, realizing the three degrees of freedom of attitude linkage of pitch, roll and rise; The interactive control assembly includes a steering wheel, pedal mechanism, gear shifting mechanism, force feedback actuator, and haptic feedback module; The scene rendering unit includes a display device, a VR module, and a sound simulation module; The environmental sensing unit is used to collect virtual environment simulation signals; The scene configuration module has a built-in multi-scene configuration library, which supports switching between preset scenes and editing of custom scenes; The central control unit is connected to the attitude motion platform, the interactive control assembly, the scene rendering unit, the environment perception unit, the data acquisition unit, and the scene configuration module, respectively, to realize scene adaptation and real-time interactive control.

2. The multi-scenario driving simulator according to claim 1, characterized in that, The multi-scenario configuration library includes driving test scenarios, urban road scenarios, highway scenarios, extreme road condition scenarios, special vehicle operation scenarios, and autonomous driving simulation test scenarios.

3. The multi-scenario driving simulator according to claim 1, characterized in that, The attitude motion platform is a three-degree-of-freedom or six-degree-of-freedom electric motion platform with a response delay of less than 10ms.

4. The multi-scenario driving simulator according to claim 1, characterized in that, The interactive control assembly supports adaptive adjustment of force feedback intensity, and the adjustment strategy is bound to the currently loaded scene.

5. The multi-scenario driving simulator according to claim 1, characterized in that, The data acquisition unit adopts a parallel sampling architecture to acquire control signals in real time and transmit them to the central control unit.

6. The multi-scenario driving simulator according to claim 1, characterized in that, The scene rendering unit supports VR immersive rendering and synchronous rendering on curved screens, and the output mode can be switched manually or automatically.

7. An interactive control method applied to a multi-scenario driving simulator according to any one of claims 1-6, characterized in that, Includes the following steps: (1) The scene configuration module loads the target scene configuration file, and the central control unit parses the scene parameters; (2) The central control unit adaptively configures the force feedback intensity, attitude motion amplitude, rendering parameters and control delay threshold according to the scene parameters; (3) The data acquisition unit acquires interactive control signals and environmental simulation signals in real time; (4) The central control unit calculates the signal and generates vehicle motion state and scene change instructions in combination with the scene physical model; (5) The central control unit synchronously drives the attitude motion platform, the interactive control assembly and the scene rendering unit to perform corresponding actions; (6) Execute real-time acquisition and control output in a loop until the scene is switched or the simulation task ends.

8. The interactive control method according to claim 7, characterized in that, The scenario parameters include road condition type, vehicle parameters, environmental conditions, interaction rules, and simulation accuracy level.

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