Simulated driving method and system based on static vehicle
By constructing a virtual dynamic driving environment in a static vehicle, real-time synchronization of multiple modules and haptic feedback are achieved, solving the problem that intelligent cockpit demonstrations cannot reflect the real driving process, improving user experience and understanding, and reducing demonstration costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
- Filing Date
- 2026-01-27
- Publication Date
- 2026-05-05
AI Technical Summary
Existing smart cockpit demonstration methods cannot reflect the collaborative work of multiple systems during real driving under static conditions, resulting in a distorted user experience and failing to demonstrate the response mechanism of information in different driving scenarios.
By constructing a virtual dynamic driving environment, the cockpit domain controller, intelligent driving domain controller, and vehicle control domain controller are activated when the vehicle is stationary, enabling a complete driving simulation experience with real-time synchronization of multiple modules and haptic feedback, including navigation real-scene fusion, vehicle speed display, suspension adjustment, and voice broadcast.
Without any actual movement risks, it enhances users' experience and understanding of smart cockpit functions, breaks through the limitations of static displays, fully restores driving logic, reduces demonstration costs, and supports multi-purpose expansion.
Smart Images
Figure CN121982952A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of driving simulation technology, and more particularly to a driving simulation method and system based on a static vehicle. Background Technology
[0002] In current auto shows and product demonstrations, the presentation of smart cockpits, especially AR-HUD (Augmented Reality Head-Up Display) functions, generally relies on pre-recorded promotional videos. Projecting well-produced HUD demonstration images directly onto the actual optical system for static viewing has become the mainstream method. However, this approach is essentially a one-way, non-interactive playback behavior, failing to reflect the dynamic logic of multiple systems working together in real driving. It only presents isolated visual effects and struggles to demonstrate the response mechanisms of information in different driving scenarios.
[0003] This display mode has obvious flaws: on the one hand, pre-recorded videos cannot show the data linkage and time synchronization between the central control screen, instrument panel, AR-HUD and voice system, and users cannot perceive the flow path and interaction logic of navigation instructions, risk warnings and other information between multiple screens; on the other hand, due to the fixed content and lack of real-time and interactivity, the user experience is distorted, and it is difficult to form a real perception of the actual coverage of the HUD, the clarity performance in complex backgrounds and the functional response capability, which greatly reduces the effect of conveying the brand's technical strength.
[0004] Therefore, there is an urgent need for a technical solution that can reproduce the dynamic driving experience under static conditions in order to improve users' understanding of the overall coordination and real performance of the intelligent cockpit system. Summary of the Invention
[0005] To address the aforementioned technical issues, this application provides a simulated driving method and system based on a static vehicle. By constructing a virtual dynamic driving environment, this application achieves a complete driving simulation experience with real-time synchronization of multiple modules and haptic feedback while the vehicle is stationary, thereby effectively enhancing the user's experience and understanding of the intelligent cockpit functions.
[0006] Firstly, this application provides a simulated driving method based on a static vehicle, comprising the following steps: When the vehicle is stationary, the simulated driving function of the cockpit domain controller, intelligent driving domain controller and vehicle control domain controller is activated by setting trigger conditions. The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller and the display module; wherein, the pedal is decoupled from the driving control unit; The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; the navigation real-scene fusion information is then sent to the display module. The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
[0007] Optionally, the visual screen includes at least one of: an instrument panel display screen, a central control screen, and a HUD head-up display screen; The real-world data includes at least one of urban roads, highway ramps, and parking lots.
[0008] Optionally, after the vehicle control domain controller generates vehicle speed information based on the pedal opening signal, it further includes: The vehicle control domain controller sends the vehicle speed information to the cockpit domain controller. The cockpit domain controller calculates the vehicle's remaining battery power and power consumption based on the vehicle speed information and initial battery level. The cockpit domain controller sends the remaining battery power and power consumption to the display module for display.
[0009] Optionally, after the intelligent driving domain controller generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller, it further includes: The intelligent driving domain controller generates warning information based on the real-world data, vehicle speed information, and map navigation data; The warning information is added to the navigation reality fusion information.
[0010] Optionally, after adding the warning information to the navigation real-scene fusion information, the method further includes: The intelligent driving domain controller sends the warning information to the broadcasting system; the broadcasting system issues a warning voice message based on the warning information. The method further includes: The cockpit domain controller sends traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time to the broadcasting system; the broadcasting system issues corresponding prompts based on the traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time.
[0011] Optionally, the display module displays the navigation real-view fusion information and vehicle speed information on a visual screen, including: The HUD display uses virtual lane line enhancement technology to display lane lines from the navigation reality fusion information; and, Based on the map navigation data, the motion planning (MOP) line is displayed.
[0012] Optionally, after the vehicle control domain controller generates vehicle speed information based on the pedal opening signal, it further includes: The vehicle control domain controller sends vehicle speed information, acceleration information, and braking information to the suspension system; The intelligent driving domain controller sends the time point of the speed bump to the suspension system; The suspension system adjusts the vehicle body to the target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, in order to simulate the dynamic driving experience brought about by driving operations and current road conditions.
[0013] Secondly, this application provides a simulated driving system based on a static vehicle, including: an activation unit, a cockpit domain controller, an intelligent driving domain controller, a vehicle control domain controller, and a display module; When the vehicle is stationary, the activation unit activates the simulated driving functions of the cockpit domain controller, intelligent driving domain controller, and vehicle control domain controller based on the set trigger conditions. The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller and the display module; wherein, the pedal is decoupled from the driving control unit; The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; the navigation real-scene fusion information is then sent to the display module. The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
[0014] Optionally, the system may also include a broadcasting system; The intelligent driving domain controller generates warning information based on the real-world data, vehicle speed information, and map navigation data; sends the warning information to the broadcasting system; and the broadcasting system issues a warning voice message based on the warning information. The cockpit domain controller sends traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time to the broadcasting system; the broadcasting system issues corresponding prompts based on the traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time.
[0015] Optionally, the system may also include a suspension system; The vehicle control domain controller sends vehicle speed information, acceleration information, and braking information to the suspension system; The intelligent driving domain controller sends the time point of the speed bump to the suspension system; The suspension system adjusts the vehicle body to a target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, in order to simulate the dynamic driving experience brought about by driving operations and current road conditions. The embodiments of this application have the following technical effects: 1. Breaking the limitations of static display: Users are no longer spectators, but "drivers" who can actively control the system, greatly enhancing the sense of participation; 2. Fully reproduces driving logic: From starting, acceleration, deceleration to energy management, it fully demonstrates the operating characteristics of electric vehicles; 3. Safe and reliable: All operations are completed in P gear, eliminating any actual risk of movement; 4. Reduced demonstration costs: Functionality verification can be completed without real-road testing; 5. Supports multi-purpose expansion: It can be used in scenarios such as sales training, user experience evaluation, and intelligent driving algorithm debugging. Attached Figure Description
[0016] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0017] Figure 1 This is a flowchart of a simulated driving method based on a static vehicle provided in an embodiment of this application; Figure 2 This is a signaling diagram of the simulated driving method based on a static vehicle provided in an embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0019] In current smart cockpit demonstration scenarios, especially at auto shows, showrooms, or test drive areas, manufacturers commonly use pre-recorded videos to showcase features such as AR-HUD (Augmented Reality Head-Up Display), voice interaction, navigation guidance, and suspension adjustment. However, this static demonstration method has significant drawbacks: it fails to reflect the dynamic changes during actual driving and thus fails to achieve its promotional objectives.
[0020] To address the problems in the background technology, this application provides a simulated driving method based on a static vehicle. This method is applicable when the vehicle is stationary, and the driver actually operates the vehicle, simulating actual driving scenarios through the vehicle's domain controller and display module (or, in addition, the suspension system and broadcast system). This application constructs a virtual dynamic driving environment, achieving a complete driving simulation experience with real-time synchronization of multiple modules and haptic feedback while the vehicle is stationary, thereby effectively enhancing the user's experience and understanding of intelligent cockpit functions. See also... Figure 1 The method provided in this embodiment includes: S110. When the vehicle is stationary, activate the simulated driving function of the cockpit domain controller, intelligent driving domain controller and vehicle control domain controller through the set trigger conditions.
[0021] Static State: This refers to a state where the vehicle has not moved and is not capable of driving. Simulating driving in this state can prevent safety hazards caused by accidental operation. Map conditions for determining a vehicle's static state include: the gear is in Park (P), the vehicle speed is 0 km / h, the motor is not in drive mode, and the doors are closed.
[0022] The set trigger conditions include, but are not limited to: physical button trigger, central control screen soft key trigger, and voice command trigger.
[0023] For example, once the triggering condition is identified, some real-time monitoring tasks (such as ABS self-check and tire pressure alarm sound) are paused, and the default driving scenario package (Scene Package) is loaded, which includes map path, traffic event script, lighting model, etc.; a welcome animation is displayed on the central control screen, prompting "Loading simulation environment, please wait..."; at the same time, the simulated driving functions of the cockpit domain controller, intelligent driving domain controller and vehicle control domain controller are activated.
[0024] S120, the vehicle control domain controller generates vehicle speed information based on the pedal opening signal, and sends the vehicle speed information to the intelligent driving domain controller and the display module.
[0025] The system collects driver input signals to the brake and accelerator pedals via dedicated interfaces. For example, a potentiometer tracks the accelerator pedal opening, and a pressure sensor tracks the digital switching input of the brake pedal. The accelerator and brake pedals are decoupled (disconnected) from the vehicle control unit; the accelerator pedal no longer directly controls the motor output but instead acts as an input device transmitting acceleration signals to the vehicle's infotainment system.
[0026] Based on the collected pedal opening signal, the vehicle speed information is calculated by the "virtual vehicle dynamics model", as shown in the following formula: ; in, for Initial velocity at time (usually 0). It is an instantaneous acceleration, determined by the opening of the accelerator and brake pedals. This is vehicle speed information; t represents time. It is the time derivative.
[0027] The above formula for calculating vehicle speed is for illustrative purposes only; automakers can make adaptive designs based on actual conditions.
[0028] S130: The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; and sends the navigation real-scene fusion information to the display module.
[0029] Optionally, the real-world data includes at least one of urban roads, highway ramps, and parking lots. The real-world data includes pedestrians, non-motorized vehicles, motorized vehicles, and obstacles. Obstacle attributes include type, relative distance, lateral offset, and movement trend. Upon activation, the cockpit domain controller launches the map application, generates map navigation data, and sends the map navigation data to the intelligent driving domain controller. The map navigation data includes navigation markers (e.g., straight ahead, left turn, right turn), distances (e.g., 100 meters ahead), waypoint sequences, road topology information, and navigation routes.
[0030] After loading real-world data and receiving vehicle speed information and map navigation data, the intelligent driving domain controller first performs spatiotemporal alignment and coordinate unification: based on precise timestamps and the vehicle's current speed, it synchronizes the real-time perceived real-world data with the map navigation data in time and space, ensuring that all elements are mapped to the same unified vehicle coordinate system and global path coordinate system. Next, it matches abstract instructions in the map navigation data (such as "turn right 300 meters ahead") with specific physical spaces in the real-world data. For example, the intelligent driving domain controller maps navigation path point sequences to lane lines in the real-world data to determine the relationship between the vehicle's current lane and the recommended lane; simultaneously, it labels all identified obstacles (including static and dynamic obstacles) according to their attributes (type, distance, movement trend) in the real-world data fused with the navigation path, ultimately generating navigation-real-world fusion information.
[0031] S140, The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
[0032] Optionally, the display screens include at least one of the following: an instrument panel display, a central control screen, and a HUD (Head-Up Display). Navigation real-view fusion information and vehicle speed information are distributed to each display screen via in-vehicle Ethernet or CAN FD bus. Each display screen independently renders images according to its internal display logic. For example, in a "city road" scenario, the instrument panel display loads a main road route, the central control screen displays the navigation route, and simultaneously generates a pedestrian suddenly running a red light 200 meters ahead of the current vehicle position for subsequent function demonstrations.
[0033] As vehicle speed data is updated in real time, the navigation real-view fusion information should also be updated in real time and displayed on the screen.
[0034] When there are two or more types of video screens, the navigation real-view fusion information and vehicle speed information can be displayed on all video screens; or, they can be displayed on different video screens respectively.
[0035] The embodiments of this application have the following technical effects: 1. Breaking the limitations of static display: Users are no longer spectators, but "drivers" who can actively control the system, greatly enhancing the sense of participation; 2. Fully reproduces driving logic: From starting, acceleration, deceleration to energy management, it fully demonstrates the operating characteristics of electric vehicles; 3. Safe and reliable: All operations are completed in P gear, eliminating any actual risk of movement; 4. Reduced demonstration costs: Functionality verification can be completed without real-road testing; 5. Supports multi-purpose expansion: It can be used in scenarios such as sales training, user experience evaluation, and intelligent driving algorithm debugging.
[0036] Figure 2 This is a signaling diagram of the simulated driving method based on a static vehicle provided in an embodiment of this application, which details the signal interaction flow of each functional module. See below. Figure 2 Provide a detailed description of the driving simulation program.
[0037] After the simulated driving function is activated by setting the trigger conditions, the user can select a preset real-world data on the central control screen to simulate driving. This activates the simulated driving functions of the cockpit domain controller, intelligent driving domain controller, and vehicle control domain controller.
[0038] The cockpit domain controller automatically opens the map application, loads the preset route (KML or GPX format), renders a 2D / 3D map view, and extracts data such as waypoint sequences, road topology information, navigation routes, distances, and navigation markers. The preset map navigation data is displayed on the central control screen (this is the initial map navigation data, unlike subsequent updates based on vehicle speed). The cockpit domain controller then sends the map navigation data to the intelligent driving domain controller and the display module.
[0039] The cockpit domain controller sends traffic condition assistance data, route-by-route navigation data (Time Before Turn, TBT), and estimated time of arrival (ETA) to the announcement system. The announcement system then issues corresponding audio prompts based on these data. For example, the route-by-route navigation data might be "Drive straight for 1.5 kilometers along road x, then turn left at the second intersection onto Y Avenue." Traffic condition assistance data might be "There is a red light camera at the next intersection," "Road construction ahead," or "Congested area with speeds below 20 km / h." The announcement system will first emit a "dong" sound (typically used for important announcements), followed by a voice announcement of the traffic condition assistance data, route-by-route navigation data, and estimated time of arrival.
[0040] The driver can simulate driving by pressing the accelerator or brake pedal. The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller, display module, and cockpit domain controller. The vehicle control domain controller also sends vehicle speed, acceleration, and braking information to the suspension system. The intelligent driving domain controller sends the timing of the speed bump (e.g., arriving at the speed bump t1 seconds after the current vehicle speed warning) to the suspension system for adjustment.
[0041] The suspension system adjusts the vehicle body to a target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, simulating the dynamic driving experience brought about by driving operations and current road conditions. Optionally, the suspension can be raised / lowered at different vehicle speeds to simulate real-world scenarios. For example, the suspension actively lowers at high speeds; during acceleration, the front suspension raises and the rear suspension lowers to simulate a nose-up phenomenon. During braking, the front suspension lowers and the rear suspension raises to simulate a nose-down phenomenon. When approaching a speed bump, the front of the vehicle lifts to prepare for the impact; upon passing over the speed bump, the front suspension moves rapidly vertically, and the rear suspension adjusts synchronously, creating a "wave-like" response to simulate a bump.
[0042] After receiving vehicle speed information, the cockpit domain controller calculates the vehicle's remaining battery power and energy consumption based on the vehicle speed and initial battery level using its integrated algorithm. The cockpit domain controller then sends the remaining battery power and energy consumption data to the display module for display. See the following formula: ; in, It is the energy consumption coefficient, which is related to vehicle speed information. yes Initial battery level at any time This is the remaining battery power. It represents the virtual motor power, which is positively correlated with the accelerator pedal opening. dt It is the time derivative. This is the amount of electricity consumed this time.
[0043] Electricity consumption is measured in kilometers per kilowatt-hour (kWh), calculated by dividing the electricity consumed in this instance by the distance traveled. For example, integrating real-time vehicle speed information over time yields the distance traveled, L. Divide by L to get the power consumption.
[0044] Optionally, the intelligent driving domain controller generates warning information based on real-scene data, vehicle speed information, and map navigation data; adds the warning information to the navigation real-scene fusion information; the intelligent driving domain controller sends the warning information to the broadcasting system; and the broadcasting system issues a warning voice based on the warning information.
[0045] For example, based on preset logical rules, the system analyzes in real time whether there are potential risks in the current driving situation. For instance, when the vehicle speed is greater than 30 km / h and the relative distance to the virtual obstacle ahead is less than a safety threshold, a collision risk is determined, triggering FCW (Forward Collision Warning); when there is a moving obstacle in the adjacent lane, BSD (Blind Spot Detection Warning) is activated. Furthermore, combining route planning information from navigation data, if it is detected that the vehicle is about to miss a predetermined exit or turning point, a path deviation warning is generated. For example, "pedestrians, non-motorized vehicles, vehicle collisions, or obstacles" that cause warning information in the navigation real-scene fusion information are marked (marked with red boxes or yellow triangles, etc.), and the warning information is forwarded to the broadcast system for auditory announcement. For example, when the vehicle is turning right, if an electric vehicle is detected approaching from the non-motorized vehicle lane on the right, a BSD warning is immediately triggered: a yellow warning light illuminates on the dashboard, a red border is projected onto the right side of the head-up display, and the audio system plays "Vehicle on right, lane change prohibited," thus forming a multimodal collaborative response mechanism to comprehensively enhance the user's cognitive experience and interactive realism of intelligent driving functions.
[0046] Optionally, the display module displays the navigation real-view fusion information and vehicle speed information on a visual screen, including: the HUD display screen uses virtual lane line enhancement technology to display lane lines in the navigation real-view fusion information; and, based on the map navigation data, displays motion planning (MOP) lines.
[0047] After receiving navigation reality fusion information, the head-up display (HUD) executes the display process. First, for lane line enhancement, based on the preset road topology of the driving scenario and the simulated vehicle position (including speed and direction), a virtual lane model is constructed using an inverse perspective transformation algorithm. A continuous virtual lane line, aligned with the simulated road environment, is then generated within the HUD's projection area. This lane line is presented using high-brightness green or white light beams, with a width comparable to the actual lane and a length extending 30-50 meters. It dynamically moves forward as the vehicle "moves," providing continuous guidance. When the vehicle deviates from its lane or there is a risk of lane change, the lane line changes color to yellow or red and flashes at a 1Hz frequency, providing a visual warning. Second, in the navigation guidance function, the HUD generates a Motion Planning Line (MOP) based on updated navigation data. For example, based on map navigation data, an ideal driving trajectory is fitted using Bézier curves and transformed into a gradient-colored luminous strip projected onto the windshield. The MOP line is blue at the front near the vehicle, green in the middle, and transitions to orange at the far end, visually reflecting distance through color changes. In complex intersections or ramp scenarios, the MOP line branches to display multiple possible directions, highlighting recommended routes in conjunction with navigation decisions to assist drivers in quickly determining the correct path. This embodiment creates a highly realistic dynamic driving guidance experience even in a static vehicle state.
[0048] This embodiment achieves seamless collaboration between the domain controllers, display modules, broadcasting system, and suspension system, thereby improving the realism of the driving simulation.
[0049] In specific application scenarios, for urban road scenarios: simulating typical urban traffic environments, including intersections, traffic lights, pedestrian crossings, non-motorized vehicle interference, and left and right turns. Navigation commands are triggered based on preset routes, displaying real-time path guidance on the central control screen, while the instrument panel simultaneously displays virtual vehicle speed; the head-up display projects dynamic MOP lines to guide the correct lane, and enhances the display of virtual lane lines when approaching intersections to assist in determining the driving direction; forward collision warning frames and voice prompts are triggered based on the relative positions of virtual obstacles and the vehicle; the suspension system, in conjunction with braking actions, simulates vehicle pitching forward, enhancing the sense of realism.
[0050] For high-speed ramp scenarios: covering ramp conditions for vehicles entering / exiting highways, with a focus on demonstrating lane reduction, curvature changes, and high-speed lane change support functions. As vehicle speed increases to over 100 km / h, the head-up display continuously shows enhanced lane line graphics to ensure that the virtual lane is aligned with the field of vision in curves; when entering a merging area or a lane narrowing section, it automatically identifies potential collision risks, activates lateral warnings, and marks the positions of nearby vehicles in the head-up display.
[0051] This application also provides a simulated driving system based on a static vehicle, including: an activation unit, a cockpit domain controller, an intelligent driving domain controller, a vehicle control domain controller, and a display module; When the vehicle is stationary, the activation unit activates the simulated driving functions of the cockpit domain controller, intelligent driving domain controller, and vehicle control domain controller based on set trigger conditions; the activation unit can be a soft key on the central control screen, a voice assistant, or a physical button, etc.
[0052] The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller and the display module; wherein, the pedal is decoupled from the driving control unit; The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; the navigation real-scene fusion information is then sent to the display module. The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
[0053] Optionally, the system may also include a broadcasting system; The intelligent driving domain controller generates warning information based on the real-world data, vehicle speed information, and map navigation data; sends the warning information to the broadcasting system; and the broadcasting system issues a warning voice message based on the warning information. The cockpit domain controller sends traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time to the broadcasting system; the broadcasting system issues corresponding prompts based on the traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time.
[0054] Optionally, the system may also include a suspension system; The vehicle control domain controller sends vehicle speed information, acceleration information, and braking information to the suspension system; The intelligent driving domain controller sends the time point of the speed bump to the suspension system; The suspension system adjusts the vehicle body to a target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, in order to simulate the dynamic driving experience brought about by driving operations and current road conditions. The static vehicle-based simulated driving systems provided in this embodiment can all execute the static vehicle-based simulated driving methods provided in the above embodiments and have the corresponding technical effects, which will not be elaborated here.
[0055] It should be noted that the terminology used in this application is for the purpose of describing specific embodiments only and is not intended to limit the scope of this application. As shown in this specification, unless the context clearly indicates otherwise, words such as "a," "an," "an," and / or "the" do not specifically refer to the singular and may include the plural. The terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element.
[0056] It should also be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," "linked," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two elements. For those skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.
[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the technical solutions of the embodiments of this application.
Claims
1. A simulated driving method based on a static vehicle, characterized in that, Includes the following steps: When the vehicle is stationary, the simulated driving function of the cockpit domain controller, intelligent driving domain controller and vehicle control domain controller is activated by setting trigger conditions. The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller and the display module; wherein, the pedal is decoupled from the driving control unit; The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; the navigation real-scene fusion information is then sent to the display module. The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
2. The simulated driving method based on a static vehicle according to claim 1, characterized in that, The visual screen includes at least one of the following: an instrument panel display screen, a central control screen, and a HUD head-up display screen; The real-world data includes at least one of urban roads, highway ramps, and parking lots.
3. The simulated driving method based on a static vehicle according to claim 1, characterized in that, After the vehicle control domain controller generates vehicle speed information based on the pedal opening signal, it also includes: The vehicle control domain controller sends the vehicle speed information to the cockpit domain controller. The cockpit domain controller calculates the vehicle's remaining battery power and power consumption based on the vehicle speed information and initial battery level. The cockpit domain controller sends the remaining battery power and power consumption to the display module for display.
4. The simulated driving method based on a static vehicle according to claim 1, characterized in that, After generating navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller, the intelligent driving domain controller also includes: The intelligent driving domain controller generates warning information based on the real-world data, vehicle speed information, and map navigation data; The warning information is added to the navigation reality fusion information.
5. The simulated driving method based on a static vehicle according to claim 4, characterized in that, After adding the warning information to the navigation reality fusion information, it also includes: The intelligent driving domain controller sends the warning information to the broadcasting system; the broadcasting system issues a warning voice message based on the warning information. The method further includes: The cockpit domain controller sends traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time to the broadcasting system; the broadcasting system issues corresponding prompts based on the traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time.
6. The simulated driving method based on a static vehicle according to claim 2, characterized in that, The display module displays the navigation real-view fusion information and vehicle speed information on the screen, including: The HUD display uses virtual lane line enhancement technology to display lane lines from the navigation reality fusion information; and, Based on the map navigation data, the motion planning (MOP) line is displayed.
7. The simulated driving method based on a static vehicle according to any one of claims 1-6, characterized in that, After the vehicle control domain controller generates vehicle speed information based on the pedal opening signal, it also includes: The vehicle control domain controller sends vehicle speed information, acceleration information, and braking information to the suspension system; The intelligent driving domain controller sends the time point of the speed bump to the suspension system; The suspension system adjusts the vehicle body to the target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, in order to simulate the dynamic driving experience brought about by driving operations and current road conditions.
8. A simulated driving system based on a static vehicle, characterized in that, include: Activation unit, cockpit domain controller, intelligent driving domain controller, vehicle control domain controller, and display module; When the vehicle is stationary, the activation unit activates the simulated driving functions of the cockpit domain controller, intelligent driving domain controller, and vehicle control domain controller through set trigger conditions. The vehicle control domain controller generates vehicle speed information based on the pedal opening signal and sends the vehicle speed information to the intelligent driving domain controller and the display module; wherein, the pedal is decoupled from the driving control unit; The intelligent driving domain controller loads preset real-scene data and generates navigation real-scene fusion information based on the real-scene data, vehicle speed information, and map navigation data provided by the cockpit domain controller; the navigation real-scene fusion information is then sent to the display module. The display module displays the navigation real-view fusion information and vehicle speed information on the screen.
9. The simulated driving system based on a static vehicle according to claim 8, characterized in that, It also includes a broadcasting system; The intelligent driving domain controller generates warning information based on the real-world data, vehicle speed information, and map navigation data; and sends the warning information to the broadcasting system. The broadcasting system issues a warning voice message based on the warning information; The cockpit domain controller sends traffic regulation and road condition auxiliary data, route-by-route navigation data, and estimated arrival time to the broadcasting system. The broadcasting system issues corresponding prompts based on traffic regulations and road condition auxiliary data, route-by-route navigation data, and estimated arrival time.
10. The static vehicle-based simulated driving system according to claim 8 or 9, characterized in that, It also includes the suspension system; The vehicle control domain controller sends vehicle speed information, acceleration information, and braking information to the suspension system; The intelligent driving domain controller sends the time point of the speed bump to the suspension system; The suspension system adjusts the vehicle body to the target posture based on vehicle speed, acceleration, braking information, and the timing of speed bumps, in order to simulate the dynamic driving experience brought about by driving operations and current road conditions.