Vehicle-mounted data display method, wearable device, storage medium and program product

Abstract

The invention discloses a vehicle-mounted data display method, wearable equipment, a storage medium and a program product, and relates to the technical field of vehicle-mounted augmented reality, and the method comprises the steps: obtaining vehicle motion data and to-be-displayed content, the to-be-displayed content being augmented reality data; according to the vehicle motion data and a preset picture adjustment strategy, display parameters of the to-be-displayed content are adjusted, and the vehicle motion data and the adjusted display parameters have an incidence relation; and displaying the to-be-displayed content according to the adjusted display parameters. According to the method and the device, the picture change of the to-be-displayed content is ensured to be matched with the real motion state of the vehicle, so that the vision and vestibular perception difference caused by vehicle motion in the vehicle-mounted augmented reality experience is effectively reduced, and the vertigo of passengers is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle-mounted augmented reality technology, in particular to a vehicle-mounted data display method, a wearable device, a storage medium and a program product. BACKGROUND

[0002] With the continuous progress of augmented reality (AR) technology, its application in the vehicle-mounted environment has gradually become popular. This technology superimposes virtual information on the real world, providing passengers with a rich visual experience, and has become an important development direction for intelligent vehicles and vehicle-mounted entertainment systems.

[0003] Currently, vehicle-mounted AR technology can improve content quality and transmission stability through 4K resolution display, color enhancement and anti-bandwidth fluctuation technology, but when the vehicle accelerates / decelerates / turns, the actual motion parameters perceived by the passenger's vestibular system (inner ear balance organ) differ from the visual motion parameters presented by the AR content. When the difference exceeds the human tolerance threshold, it can cause cognitive confusion in the brain, leading to dizziness, nausea and other car sickness symptoms.

[0004] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0005] The main purpose of the present application is to provide a vehicle-mounted data display method, a wearable device, a storage medium and a program product, aiming to solve the technical problem of how to reduce the dizziness of passengers watching augmented reality content in a moving vehicle.

[0006] To achieve the above-mentioned purpose, the present application provides a vehicle-mounted data display method, which comprises: obtaining vehicle motion data and content to be displayed, wherein the content to be displayed is augmented reality data; adjusting the display parameters of the content to be displayed according to the vehicle motion data and a preset picture adjustment strategy, wherein the vehicle motion data and the adjusted display parameters have a correlation; displaying the content to be displayed according to the adjusted display parameters.

[0007] In an embodiment, the vehicle motion data includes acceleration, turning direction and turning angle, the display parameters include playback speed, tilt direction and tilt angle, and the step of adjusting the display parameters of the content to be displayed according to the vehicle motion data and the preset picture adjustment strategy comprises: adjusting the playback speed of the content to be displayed according to the acceleration and the picture adjustment strategy, wherein the playback speed is positively correlated with the acceleration; In a case where the turning angle is greater than a preset turning threshold, the turning direction is determined as a tilt direction of the to-be-displayed content, and a tilt angle of the to-be-displayed content is adjusted according to the turning angle and the picture adjustment strategy, wherein the tilt angle is positively correlated with the turning angle.

[0008] In an embodiment, the vehicle motion data includes speed and acceleration, and the step of adjusting the display parameter of the to-be-displayed content according to the vehicle motion data and a preset picture adjustment strategy includes: obtaining an interframe change rate of the to-be-displayed content; in a case where a speed difference between the speed and the interframe change rate is greater than a preset first threshold, obtaining a moving speed of a virtual object in the to-be-displayed content; adjusting the moving speed of the virtual object according to the speed, the acceleration and the picture adjustment strategy, wherein the moving speed is positively correlated with the acceleration.

[0009] In an embodiment, after the steps of obtaining the vehicle motion data and the to-be-displayed content, the method further includes: determining an acceleration difference between the current vehicle motion data and an acceleration of vehicle motion data at a previous time point; in a case where the acceleration difference is greater than a preset second threshold, performing smoothing processing on the to-be-displayed content by using a preset interframe smoothing interpolation algorithm.

[0010] In an embodiment, the step of adjusting the display parameter of the to-be-displayed content according to the vehicle motion data and a preset picture adjustment strategy includes: inputting the vehicle motion data into a pre-trained vehicle state prediction model to output predicted motion data; adjusting the display parameter according to the predicted motion data and the picture adjustment strategy.

[0011] In an embodiment, the step of inputting the vehicle motion data into a pre-trained vehicle state prediction model to output predicted motion data includes: obtaining a vehicle control signal, wherein the vehicle control signal includes accelerator pedal pressure and brake pedal pressure; determining a predicted acceleration according to the vehicle control signal, wherein the predicted acceleration is positively correlated with the accelerator pedal pressure, and the predicted acceleration is negatively correlated with the brake pedal pressure; inputting the predicted acceleration and the vehicle motion data into the pre-trained vehicle state prediction model to output predicted motion data.

[0012] In an embodiment, the vehicle-mounted data display method further comprises: determining an adjustment requirement in response to the triggered adjustment instruction; optimizing a sensitivity parameter in the picture adjustment strategy according to the adjustment requirement, wherein the sensitivity parameter is used to adjust the correlation relationship, and the greater the sensitivity parameter is, the higher the adjustment sensitivity between the vehicle motion data and the display parameter corresponding to the correlation relationship is.

[0013] In addition, to achieve the above-mentioned purpose, the present application further provides a vehicle-mounted data display device, which comprises: an acquisition module configured to acquire vehicle motion data and to-be-displayed content, wherein the to-be-displayed content is augmented reality data; an adjustment module configured to adjust a display parameter of the to-be-displayed content according to the vehicle motion data and a preset picture adjustment strategy, wherein the vehicle motion data and the adjusted display parameter have a correlation relationship; a display module configured to display the to-be-displayed content according to the adjusted display parameter.

[0014] In addition, to achieve the above-mentioned purpose, the present application further provides a wearable device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle-mounted data display method as described above.

[0015] In addition, to achieve the above-mentioned purpose, the present application further provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, wherein the computer program is executed by a processor to implement the steps of the vehicle-mounted data display method as described above.

[0016] In addition, to achieve the above-mentioned purpose, the present application further provides a computer program product, which comprises a computer program, wherein the computer program is executed by a processor to implement the steps of the vehicle-mounted data display method as described above.

[0017] The one or more technical solutions provided in the application have at least the following technical effects: first, vehicle motion data and to-be-displayed augmented reality data are acquired to capture the motion state of the vehicle in the real world and associate it with virtual augmented reality content, thereby providing necessary input parameters for subsequent adjustment processing; then, the display parameters of the to-be-displayed content are adjusted according to the vehicle motion data and a preset picture adjustment strategy, so that the adjusted display parameters have a strong correlation with the vehicle motion data, that is, the picture change of the to-be-displayed content matches the real motion state of the vehicle, thereby reducing the difference between the visual presentation and the vestibular system perception; then, the to-be-displayed content is displayed according to the adjusted display parameters, so that the motion trajectory of the AR picture finally viewed by the passenger is highly coordinated with the vehicle motion state perceived by the body, effectively avoiding the cognitive confusion of the brain caused by sensory conflict, and the dizziness can be effectively reduced. The application reduces the difference between the visual and vestibular perception caused by the vehicle motion in the vehicle-mounted augmented reality experience, thereby effectively reducing the dizziness of the passenger watching the augmented reality content in the moving vehicle and improving the comfort and user experience of the vehicle-mounted AR system. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and serve to explain the principles of the application together with the specification.

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0020] Figure 1 The flowchart provided for the vehicle-mounted data display method embodiment one of the application; Figure 2 The module framework schematic diagram of the vehicle-mounted data display method provided for the embodiment two of the application; Figure 3 The brief flowchart of the vehicle-mounted data display method provided for the embodiment two of the application; Figure 4 The module structure schematic diagram of the vehicle-mounted data display device of the embodiment of the application; Figure 5 The device structure schematic diagram of the hardware running environment involved in the vehicle-mounted data display method in the embodiment of the application.

[0021] The purpose implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the present application and do not limit the present application.

[0023] It should be noted that in the description of the specification and the appended claims, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0024] In order to better understand the technical solutions of the present application, the following will be described in detail in conjunction with the drawings and specific embodiments.

[0025] The main solution of the embodiment of the present application is: acquiring vehicle motion data and to-be-displayed content, wherein the to-be-displayed content is augmented reality data; adjusting the display parameters of the to-be-displayed content according to the vehicle motion data and a preset picture adjustment strategy, wherein the vehicle motion data and the adjusted display parameters have a correlation; displaying the to-be-displayed content according to the adjusted display parameters.

[0026] At present, the vehicle-mounted AR technology can improve the content picture quality and transmission stability through 4K resolution display, color enhancement and anti-bandwidth fluctuation technology, but when the vehicle accelerates / decelerates / turns, the actual motion parameters perceived by the passenger vestibular system (inner ear balance organ) and the visual motion parameters presented by the AR content are different, when the difference exceeds the human tolerance threshold, it will cause cognitive confusion of the brain, resulting in dizziness, nausea and other car sickness symptoms.

[0027] In view of the above problems, the present application provides a vehicle-mounted data display method, the present application captures the motion state of the vehicle in the real world by acquiring vehicle motion data and to-be-displayed augmented reality data, and establishes a correlation between the virtual augmented reality content, providing necessary input parameters for subsequent adjustment processing; then, according to the vehicle motion data and a preset picture adjustment strategy, the display parameters of the to-be-displayed content are adjusted, so that the adjusted display parameters have a strong correlation with the vehicle motion data, that is, the picture change of the to-be-displayed content matches the real motion state of the vehicle, so as to reduce the difference between the visual presentation and the vestibular system perception; then, according to the adjusted display parameters, the to-be-displayed content is displayed, so that the motion trajectory of the AR picture finally watched by the passenger and the vehicle motion state felt by the body are highly coordinated, effectively avoiding the cognitive confusion of the brain caused by sensory conflict, which can effectively reduce the dizziness. The present application reduces the difference between vision and vestibular perception caused by vehicle motion in vehicle-mounted augmented reality experience, thereby effectively reducing the dizziness of passengers watching augmented reality content in a moving vehicle, and improving the comfort and user experience of the vehicle-mounted AR system.

[0028] The wearable device in the embodiments of the present application can include, but is not limited to, a wearable device such as a mixed reality (MixedReality)-MR device (for example, MR glasses or an MR helmet), an augmented reality (Augmented Reality)-AR device (for example, AR glasses or an AR helmet), a virtual reality-(Virtual Reality)-VR device (for example, VR glasses or a VR helmet), an extended reality (Extended Reality)-XR device or some combination thereof, and the like. In the embodiments, for ease of description, the following is described with the wearable device as the execution subject.

[0029] Based on this, the present application provides a vehicle-mounted data display method, referring to Figure 1 , Figure 1 The flowchart of the first embodiment of the vehicle-mounted data display method of the present application is shown in FIG. 1.

[0030] In the embodiments, the vehicle-mounted data display method includes steps S10-S30: Step S10, acquiring vehicle motion data and content to be displayed, wherein the content to be displayed is augmented reality data; The vehicle motion data refers to a data set representing the motion state of the vehicle collected by the vehicle-mounted IMU (Inertial Measurement Unit) sensor, including but not limited to linear acceleration, angular velocity, and steering angle, etc.

[0031] The content to be displayed refers to a raw visual data set generated by the vehicle-mounted AR content engine (such as a video application, a game application, etc.) and waiting for rendering output, usually including animation data, three-dimensional model data of virtual objects, and related interaction logic data, etc.

[0032] Exemplarily, the motion state of the vehicle can be continuously monitored by the vehicle-mounted IMU sensor to collect the vehicle motion data to capture the real motion state of the vehicle, such as the linear acceleration in the X-axis and Y-axis directions collected by the accelerometer of the IMU to determine the forward and backward acceleration and deceleration and the left and right lane change of the vehicle, respectively; at the same time, the vehicle-mounted application, the mobile terminal or the wearable device can generate augmented reality data according to user operation or preset rules; further, the wearable device can acquire the vehicle motion data collected by the IMU sensor and the augmented reality data (content to be displayed) to be displayed through the vehicle-mounted Ethernet, Bluetooth, etc.

[0033] Step S20, adjusting the display parameters of the content to be displayed according to the vehicle motion data and a preset picture adjustment strategy, wherein the vehicle motion data and the adjusted display parameters have a correlation.

[0034] The picture adjustment strategy refers to a set of rules defining a mapping function or control model from vehicle motion data input to display parameter output.

[0035] The display parameter refers to a variable used to control the rendering state of a virtual object in screen space and world space, such as display position, rotation angle, transparency, etc.

[0036] Exemplarily, the vehicle motion data and the content to be displayed can be processed by a pre-trained control model in the picture adjustment strategy to generate target display parameters for the content to be displayed; and then the display parameters of the content to be displayed are adjusted to the target display parameters.

[0037] In a possible implementation, the vehicle motion data includes acceleration, turning direction, and turning angle, and the display parameter includes playback speed, tilt direction, and tilt angle, and step S20 includes: Step S21, adjusting the playback speed of the content to be displayed according to the acceleration and the picture adjustment strategy, wherein the playback speed is positively correlated with the acceleration; The acceleration refers to a vector physical quantity representing the rate of change of vehicle speed obtained from the IMU sensor, including forward and backward (X-axis) and left and right (Y-axis) acceleration; in this embodiment, the longitudinal acceleration (i.e., X-axis acceleration) is mainly concerned because it directly affects the passenger's perception of forward and backward movement.

[0038] The playback speed refers to a scalar coefficient greater than zero, which is used to multiply the original frame playback rate or time axis advancement rate of the content to be displayed to adjust the display speed of the AR content.

[0039] Exemplarily, assuming that a user is watching a movie using AR glasses, and the vehicle is driving normally on the road; the AR glasses monitor the acceleration size collected by the sensor in real time, and when the longitudinal acceleration is visibly increasing, the playback speed of the content to be displayed is calculated according to the picture adjustment strategy in a positive correlation, and the playback speed is adjusted accordingly. For example, when the acceleration increases from 5 m / s² to 10 m / s², the playback speed is increased from 1 times to 1.2 times, so that the user can feel that the playback rhythm of the movie has become faster, realizing the consistency of visual perception and vestibular perception.

[0040] It can be understood that by adjusting the playback speed of the content to be displayed to match the acceleration of the vehicle motion, the synchronization between the physical rhythm of the vestibular perception and the content rhythm of the visual perception is realized, which can effectively reduce the difference between the vestibular perception and the visual perception, thereby reducing the dizziness of the user when watching AR content during vehicle movement.

[0041] Step S22: When the turning angle is greater than a preset turning threshold, the turning direction is used to determine the tilt direction of the content to be displayed, and the tilt angle of the content to be displayed is adjusted according to the turning angle and the screen adjustment strategy, wherein the tilt angle is positively correlated with the turning angle.

[0042] The turning angle refers to the angle of rotation of a vehicle around its vertical axis (Z-axis) during driving, which can be measured by an angular velocity sensor or a gyroscope. Based on the turning angle, it can be determined whether the vehicle is turning and the severity of the turn. The turning threshold is a preset scalar critical value used to determine whether the current turning action of the vehicle will cause a perceptual difference. By setting the turning threshold, disturbances caused by minor directional corrections during straight-line driving or uneven road surfaces can be filtered out, preventing unnecessary and distracting minor shaking of AR content.

[0043] The tilt direction refers to the direction in which the content to be displayed deviates from the normal display state, while the tilt angle refers to the angle at which the content to be displayed rotates in the tilt direction relative to the normal display state. This is used to precisely control the degree of tilt of the content to be displayed, thereby simulating the visual tilting effect of objects inside a vehicle when the vehicle turns.

[0044] For example, the wearable device can acquire the turning angle detected by the sensor in real time and continuously compare it with a preset turning threshold. Once the turning angle of the vehicle is detected to be greater than the turning threshold, the screen adjustment process of the content to be displayed is triggered: the detected turning direction is determined as the tilt direction. For example, when the vehicle turns left, the content to be displayed is tilted to the left so that the screen of the content to be displayed is tilted to the left, thereby making the user visually perceive the change in state; at the same time, the turning angle is input into a sub-function dedicated to tilt angle control in the preset screen adjustment strategy, such as tilt angle = k * (turning angle - turning threshold) (k is a positive proportional coefficient), to calculate the tilt angle of the content to be displayed.

[0045] For example, wearable devices can also determine the tilt angle that is currently detected by the turning angle mapping based on the preset mapping relationship between the turning angle and the tilt angle in the screen adjustment strategy.

[0046] Understandably, by aligning the tilt direction of the content to be displayed with the turning direction of the vehicle, and making the tilt angle positively correlated with the turning angle, users can have an integrated perception of the displayed content and the actual movement of the vehicle when viewing AR content through wearable devices. This intuitive visual feedback reduces the perceptual differences users experience when the vehicle is turning, thus lowering the incidence of motion sickness.

[0047] In one feasible implementation, the vehicle motion data includes speed and acceleration, and step S20 includes: Step S23: Obtain the inter-frame change rate of the content to be displayed; Inter-frame rate of change is a parameter used to measure how fast the content to be displayed changes between consecutive frames. It can be calculated by taking into account the difference between the content of adjacent frames and combining it with the time interval to obtain a value that represents the speed of change. This value is called the inter-frame rate of change and is used to measure how fast the image changes.

[0048] For example, the inter-frame change rate can be obtained by calculating the position difference of a virtual object between two consecutive frames and dividing it by the frame interval time.

[0049] Step S24: If the speed difference between the speed and the inter-frame change rate is greater than a preset first threshold, obtain the movement speed of the virtual object in the content to be displayed; The speed difference refers to the absolute difference between the scalar value of the vehicle speed and the scalar value obtained after normalization of the inter-frame change rate. It is used to measure the degree of matching between the visual motion of the virtual object and the actual motion of the vehicle.

[0050] Virtual objects are objects created using computer graphics technology within content to be displayed, possessing specific attributes and behaviors, such as characters in games or vehicle icons on navigation maps.

[0051] The movement speed of a virtual object refers to a parameter used to describe how fast or slow a virtual object moves within the content to be displayed. This parameter is set by the AR content generation system according to the scene requirements.

[0052] Step S25: Adjust the movement speed of the virtual object according to the speed, the acceleration and the screen adjustment strategy, wherein the movement speed is positively correlated with the acceleration.

[0053] For example, when the speed difference between the actual running speed of the vehicle and the inter-frame change rate of the content to be displayed is greater than a first threshold, the movement speed of the virtual object in the content to be displayed is read from the AR content generation system, and input together with the vehicle's speed and acceleration into a preset screen adjustment strategy, and the adjusted movement speed is output. The strategy may contain a weighted algorithm, a fuzzy logic controller or a neural network, and this embodiment does not specifically limit it.

[0054] For example, according to a preset screen adjustment strategy, acceleration can be used as the dominant factor to determine the adjustment range of the movement speed. The greater the acceleration, the greater the adjustment range. Speed ​​can be used as a scaling factor to scale the adjustment range. For example, at the same acceleration at low speed, the adjustment range is relatively smaller. The movement speed of the virtual object and the preset range are used as constraint factors to limit the adjusted value and avoid over-adjustment that could cause visual confusion. Then, the movement speed of the virtual object is adjusted according to the adjustment range.

[0055] For example, to avoid conflicts between adjusting the movement speed of virtual objects and adjusting the video playback speed, the movement speed of the virtual object in the content to be displayed can be obtained when the speed difference between the vehicle speed and the inter-frame change rate is greater than a preset first threshold. The movement speed of the virtual object can then be adjusted according to the inter-frame change rate, the speed, the acceleration, and the screen adjustment strategy, wherein the movement speed is positively correlated with the acceleration. When the speed difference between the speed and the inter-frame change rate is less than or equal to the preset first threshold, the playback speed of the content to be displayed can be adjusted according to the acceleration and the screen adjustment strategy, wherein the playback speed is positively correlated with the acceleration.

[0056] In this embodiment, by comparing the vehicle speed and the inter-frame change rate of the AR content in real time, and when the speed difference between the two exceeds a first threshold, the movement speed of the virtual object is adjusted by comprehensively considering the vehicle speed and the acceleration representing the trend of motion change. This makes the movement of the virtual object match the linear acceleration and deceleration dynamics of the vehicle and coordinate with the overall visual rhythm of the AR scene, thereby achieving a high degree of synchronization between the movement of the virtual object and the physical movement of the vehicle, providing passengers with visual feedback that is precisely consistent with their vestibular sensation.

[0057] In one possible implementation, after step S10, the method further includes: Step S11: Determine the acceleration difference between the current vehicle motion data and the vehicle motion data at the previous moment; For example, during vehicle movement, vehicle motion data is collected every 10ms using an IMU sensor; after each collection, the acceleration of the currently collected vehicle motion data is compared with the acceleration of the vehicle motion data collected at the previous moment, and the acceleration difference between the two is calculated.

[0058] Step S12: When the acceleration difference is greater than a preset second threshold, the content to be displayed is smoothed by a preset inter-frame smoothing interpolation algorithm.

[0059] Inter-frame smoothing interpolation algorithms are algorithms used to insert new frames between adjacent frames in a video or animation to make the transition between frames smoother and more natural. Common inter-frame smoothing interpolation algorithms include linear interpolation, Bézier curve interpolation, and bicubic interpolation.

[0060] For example, when the acceleration difference is greater than the second threshold, the Bézier curve interpolation algorithm is invoked to calculate the transition frame between adjacent frames. Before the calculation, the interpolation parameters of the Bézier curve interpolation algorithm can be determined based on the acceleration difference to ensure that the parameters match the degree of acceleration change, thereby ensuring the quantity and quality of the transition frames.

[0061] In this embodiment, by detecting changes in acceleration and the instant of vehicle start-stop, and performing frame-to-frame smooth interpolation when acceleration changes abruptly, screen flickering and jumps are reduced, making the changes in displayed content more natural and smooth, and improving the user's visual experience at the instant of vehicle start-stop.

[0062] Step S30: Display the content to be displayed according to the adjusted display parameters.

[0063] For example, when a user is watching augmented reality content through in-vehicle AR glasses, if the wearable device detects that the vehicle's turning angle exceeds the limit and determines that the tilt direction is to the right and the tilt angle is 1 degree, the adjusted display parameters include: "tilt to the right by one degree"; then, when rendering the content to be displayed, the adjusted display parameters are used for rendering, so that the passenger can see a picture that is tilted to the right by 1 degree, which is consistent with the vestibular perception of turning to the right.

[0064] This embodiment provides an in-vehicle data display method that adjusts the content to be displayed in real time according to the vehicle's motion state. This includes adjusting the video playback speed according to acceleration to synchronize with the motion rhythm, adjusting the tilt posture of virtual objects according to the turning angle and direction to simulate the turning state perceived by the passenger's vestibular system, and eliminating screen jitter through inter-frame smoothing interpolation algorithm when a sudden change in motion is detected. This ensures that the display state of the augmented reality content to be displayed is highly synchronized with the vehicle's actual dynamic state, thereby reducing the degree of inconsistency between the passenger's visual perception and vestibular perception, and effectively reducing the dizziness caused by in-vehicle AR.

[0065] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description and will not be repeated hereafter. Based on this, step S20 includes: Step A21: Input the vehicle motion data into the pre-trained vehicle state prediction model and output the predicted motion data; A pre-trained vehicle state prediction model refers to a mathematical model built on machine learning or deep learning algorithms. This model is trained on a large amount of historical vehicle motion data. By continuously adjusting the parameters inside the model, it can learn the inherent patterns and relationships between vehicle motion data. After training, the model has the ability to predict the vehicle motion state in the future based on the input current vehicle motion data.

[0066] Predictive motion data refers to data that reflects the motion state of a vehicle over a future period of time (e.g., 10-30 milliseconds).

[0067] For example, considering the display latency of wearable devices, the content to be displayed needs to be adjusted in advance. Currently, it is detected that the steering wheel has just started to turn, the vehicle's real-time turning angle is 5 degrees, and the lateral acceleration is 0.5 m / s². These vehicle motion data are input into a pre-trained vehicle state prediction model. Then, based on the learned cornering pattern, the model outputs the predicted motion data for the next moment (such as a turning angle of 10 degrees). Then, the wearable device adjusts the tilt of the content to be displayed in advance according to the predicted motion data, so that when it is actually displayed, its tilt angle matches the actual motion state of the vehicle.

[0068] In one feasible implementation, step A21 includes: Step A211: Obtain vehicle control signals, wherein the vehicle control signals include accelerator pedal pressure and brake pedal pressure; Vehicle control signals are electrical signals used to convey the driver's operating intentions or the control commands of the vehicle's automatic control system. They can be collected in real time by pedal pressure sensors.

[0069] Step A212: Determine the predicted acceleration based on the vehicle control signal, wherein the predicted acceleration is positively correlated with the accelerator pedal pressure and negatively correlated with the brake pedal pressure; Predicted acceleration refers to the scalar value of acceleration that a vehicle is expected to achieve, calculated in advance based on vehicle control signals.

[0070] For example, after acquiring the vehicle control signal, the predicted acceleration is determined according to the preset mapping relationship between accelerator pedal pressure / brake pedal pressure and vehicle acceleration. The greater the accelerator pedal pressure, the greater the predicted acceleration, while the greater the brake pedal pressure, the smaller the predicted acceleration. Then, the obtained predicted acceleration is output to the subsequent system for predicting the vehicle's motion state.

[0071] Step A213: Input the predicted acceleration and the vehicle motion data into the pre-trained vehicle state prediction model and output the predicted motion data.

[0072] For example, the predicted acceleration and vehicle motion data are input into the trained vehicle state prediction model, wherein the weight of the predicted acceleration is greater than the weight of the vehicle motion data, so as to fully perceive the driver's operating intention; then, the model outputs the predicted motion data for the next moment based on the input data.

[0073] In this embodiment, by combining the vehicle's current motion state with the driver's operational intention (predicted acceleration), it is possible to better cope with sudden road conditions, enabling the model to more accurately predict the vehicle's future motion state, thereby improving the matching degree between the displayed parameters and the subsequent vehicle state and reducing the risk of motion sickness.

[0074] Step A22: Adjust the display parameters based on the predicted motion data and the screen adjustment strategy.

[0075] It is understood that the specific implementation method of adjusting the display parameters of the content to be displayed by predicting motion data is the same as the implementation method of adjusting by vehicle motion data in the first embodiment above, so it will not be described again.

[0076] In this embodiment, by introducing a prediction mechanism, vehicle control signals and vehicle motion data are fused together to output predicted motion data, which saves wearable devices preprocessing time, compensates for the inherent delays in sensing, calculation and rendering, and improves the consistency between the vehicle motion state and the display state of AR content.

[0077] In one feasible implementation, the in-vehicle data display method further includes: Step A30: In response to the triggered adjustment command, determine the adjustment requirement; Adjustment commands refer to electrical signals or data instructions generated by users through input devices (such as buttons, touch screens, voice recognition modules, etc.) to trigger specific adjustment functions.

[0078] For example, a user can trigger an adjustment command by using voice commands or by touching the motion sickness adjustment button on the wearable device; then, the wearable device responds to the adjustment command triggered by the user and determines the adjustment requirement. For example, if the user issues a voice command to "reduce the playback speed", the wearable device responds to the command and determines that the playback speed adjustment is too large, and determines that the user's adjustment requirement is to reduce the sensitivity to changes in vehicle motion data.

[0079] Step A40: Based on the adjustment requirements, optimize the sensitivity parameters in the screen adjustment strategy. The sensitivity parameters are used to adjust the correlation. The larger the sensitivity parameters are, the higher the adjustment sensitivity between the vehicle motion data and the display parameters reflected by the correlation.

[0080] Sensitivity parameter refers to an adjustable gain parameter in the screen adjustment strategy, used to control the sensitivity of the adjustment between vehicle motion data and display parameters; it determines the responsiveness of the adjustment between vehicle motion data and display parameters, that is, the amount of change caused by a unit change in the other parameter. The larger the sensitivity parameter, the faster the display parameters respond to changes in vehicle motion data, and the higher the adjustment sensitivity.

[0081] In this embodiment, the sensitivity parameters are dynamically adjusted according to passenger needs, which can better adapt to different driving scenarios and user operating habits, providing users with a more personalized and comfortable display effect, thereby enhancing the user's visual experience of watching AR content while the vehicle is moving.

[0082] For example, to help understand the implementation process of the vehicle data display method obtained by combining this embodiment with the above embodiment one, please refer to... Figure 2 and Figure 3 , Figure 2 A schematic diagram of the module framework for an in-vehicle data display method is provided. Figure 3 A simplified flowchart of an in-vehicle data display method is provided. First, the content to be displayed is preprocessed by an AR data annotation module (S101), which annotates motion characteristic parameters of the content, such as the movement speed of virtual objects. Next, vehicle motion data is collected by a vehicle motion sensing module (S102), which can continuously collect data via an IMU sensor, updating the actual vehicle motion state every 10 milliseconds. Then, the motion characteristic parameters are compared by an AR data display optimization module (S103) to determine whether the current vehicle motion state will cause symptoms such as dizziness in passengers. For example, the turning angle is compared with a preset turning threshold, and the vehicle speed is compared with the inter-frame change rate of the content to be displayed. If the difference is significant, the display parameters are adjusted according to a preset screen adjustment strategy (S104) to ensure that the displayed state of the content matches the actual vehicle motion state, thereby reducing the user's dizziness. Furthermore, a feedback adjustment module is provided for users to manually adjust parameters (S105). The wearable device can respond to user-triggered adjustment commands and adjust the sensitivity parameters in the aforementioned screen adjustment strategy to suit the user's personalized needs.

[0083] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the vehicle data display method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0084] This application also provides an in-vehicle data display device; please refer to... Figure 4 The vehicle-mounted data display device includes: The acquisition module 10 is used to acquire vehicle motion data and content to be displayed, wherein the content to be displayed is augmented reality data; The adjustment module 20 is used to adjust the display parameters of the content to be displayed according to the vehicle motion data and the preset screen adjustment strategy, wherein the vehicle motion data and the adjusted display parameters are related. Display module 30 is used to display the content to be displayed according to the adjusted display parameters.

[0085] Optionally, the vehicle motion data includes acceleration, turning direction, and turning angle; the display parameters include playback magnification, tilt direction, and tilt angle; and the adjustment module is further used for: Based on the acceleration and the screen adjustment strategy, the playback speed of the content to be displayed is adjusted, wherein the playback speed is positively correlated with the acceleration; When the turning angle is greater than a preset turning threshold, the turning direction determines the tilt direction of the content to be displayed, and the tilt angle of the content to be displayed is adjusted according to the turning angle and the screen adjustment strategy, wherein the tilt angle is positively correlated with the turning angle.

[0086] Optionally, the vehicle motion data includes speed and acceleration, and the adjustment module is further used for: Obtain the inter-frame change rate of the content to be displayed; If the speed difference between the speed and the inter-frame change rate is greater than a preset first threshold, the movement speed of the virtual object in the content to be displayed is obtained; The movement speed of the virtual object is adjusted according to the speed, the acceleration, and the screen adjustment strategy, wherein the movement speed is positively correlated with the acceleration.

[0087] Optionally, the adjustment module is also used for: Following the steps of acquiring vehicle motion data and content to be displayed, the method further includes: Determine the acceleration difference between the current vehicle motion data and the vehicle motion data from the previous moment; When the acceleration difference is greater than a preset second threshold, the content to be displayed is smoothed using a preset inter-frame smoothing interpolation algorithm.

[0088] Optionally, the adjustment module is also used for: The step of adjusting the display parameters of the content to be displayed based on the vehicle motion data and a preset screen adjustment strategy includes: The vehicle motion data is input into a pre-trained vehicle state prediction model, and the predicted motion data is output. The display parameters are adjusted based on the predicted motion data and the screen adjustment strategy.

[0089] Optionally, the adjustment module is also used for: Acquire vehicle control signals, wherein the vehicle control signals include accelerator pedal pressure and brake pedal pressure; Based on the vehicle control signal, a predicted acceleration is determined, wherein the predicted acceleration is positively correlated with the accelerator pedal pressure and negatively correlated with the brake pedal pressure; The predicted acceleration and the vehicle motion data are input into the pre-trained vehicle state prediction model, and the predicted motion data is output.

[0090] Optionally, the adjustment module is also used for: In response to the triggered adjustment command, determine the adjustment requirement; Based on the adjustment requirements, the sensitivity parameters in the screen adjustment strategy are optimized. The sensitivity parameters are used to adjust the correlation. The larger the sensitivity parameters are, the higher the adjustment sensitivity between the vehicle motion data and the display parameters reflected by the correlation.

[0091] The vehicle-mounted data display device provided in this application, employing the vehicle-mounted data display method described in the above embodiments, can solve the technical problem of reducing dizziness experienced by passengers viewing augmented reality content in moving vehicles. Compared with the prior art, the beneficial effects of the vehicle-mounted data display device provided in this application are the same as those of the vehicle-mounted data display method provided in the above embodiments, and other technical features of the vehicle-mounted data display device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0092] This application provides a wearable device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the vehicle data display method in Embodiment 1 above.

[0093] Wearable devices in the embodiments of this application may include, but are not limited to, wearable devices such as Mixed Reality (MR) devices (e.g., MR glasses or MR helmets), Augmented Reality (AR) devices (e.g., AR glasses or AR helmets), Virtual Reality (VR) devices (e.g., VR glasses or VR helmets), Extended Reality (XR) devices, or some combination thereof.

[0094] likeFigure 5 As shown, the wearable device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the wearable device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the wearable device to communicate wirelessly or wiredly with other devices to exchange data. While wearable devices with various systems are shown in the figures, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0095] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from read-only memory 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0096] The wearable device provided in this application, employing the in-vehicle data display method described in the above embodiments, can solve the technical problem of reducing dizziness experienced by passengers viewing augmented reality content in moving vehicles. Compared with the prior art, the beneficial effects of the wearable device provided in this application are the same as those of the in-vehicle data display method provided in the above embodiments, and other technical features of the wearable device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0097] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0098] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0099] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the vehicle data display method in the above embodiments.

[0100] The computer-readable storage medium provided in this application embodiment may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0101] The aforementioned computer-readable storage medium may be included in the wearable device; or it may exist independently and not assembled into the wearable device.

[0102] The aforementioned computer-readable storage medium carries one or more programs that, when executed by a wearable device, cause the wearable device to: acquire vehicle motion data and content to be displayed, wherein the content to be displayed is augmented reality data; adjust the display parameters of the content to be displayed according to the vehicle motion data and a preset screen adjustment strategy, wherein the vehicle motion data and the adjusted display parameters are correlated; and display the content to be displayed according to the adjusted display parameters.

[0103] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0104] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0105] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0106] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described in-vehicle data display method, which can solve the technical problem of how to reduce the dizziness of passengers viewing augmented reality content in moving vehicles. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the in-vehicle data display method provided in the above embodiments, and will not be repeated here.

[0107] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the vehicle data display method described above.

[0108] The computer program product provided in this application can solve the technical problem of reducing dizziness experienced by passengers viewing augmented reality content in moving vehicles. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the in-vehicle data display method provided in the above embodiments, and will not be repeated here.

[0109] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for displaying vehicle-mounted data, characterized in that, The in-vehicle data display method includes: Acquire vehicle motion data and content to be displayed, wherein the content to be displayed is augmented reality data; Based on the vehicle motion data and the preset screen adjustment strategy, the display parameters of the content to be displayed are adjusted, wherein the vehicle motion data and the adjusted display parameters are related. The content to be displayed is displayed according to the adjusted display parameters.

2. The vehicle-mounted data display method as described in claim 1, characterized in that, The vehicle motion data includes acceleration, turning direction, and turning angle; the display parameters include playback speed, tilt direction, and tilt angle; the step of adjusting the display parameters of the content to be displayed based on the vehicle motion data and a preset screen adjustment strategy includes: Based on the acceleration and the screen adjustment strategy, the playback speed of the content to be displayed is adjusted, wherein the playback speed is positively correlated with the acceleration; When the turning angle is greater than a preset turning threshold, the turning direction determines the tilt direction of the content to be displayed, and the tilt angle of the content to be displayed is adjusted according to the turning angle and the screen adjustment strategy, wherein the tilt angle is positively correlated with the turning angle.

3. The vehicle-mounted data display method as described in claim 1, characterized in that, The vehicle motion data includes speed and acceleration. The step of adjusting the display parameters of the content to be displayed based on the vehicle motion data and a preset screen adjustment strategy includes: Obtain the inter-frame change rate of the content to be displayed; If the speed difference between the speed and the inter-frame change rate is greater than a preset first threshold, the movement speed of the virtual object in the content to be displayed is obtained; The movement speed of the virtual object is adjusted according to the speed, the acceleration, and the screen adjustment strategy, wherein the movement speed is positively correlated with the acceleration.

4. The vehicle-mounted data display method as described in claim 1, characterized in that, Following the steps of acquiring vehicle motion data and content to be displayed, the method further includes: Determine the acceleration difference between the current vehicle motion data and the vehicle motion data from the previous moment; When the acceleration difference is greater than a preset second threshold, the content to be displayed is smoothed using a preset inter-frame smoothing interpolation algorithm.

5. The vehicle-mounted data display method as described in claim 1, characterized in that, The step of adjusting the display parameters of the content to be displayed based on the vehicle motion data and a preset screen adjustment strategy includes: The vehicle motion data is input into a pre-trained vehicle state prediction model, and the predicted motion data is output. The display parameters are adjusted based on the predicted motion data and the screen adjustment strategy.

6. The vehicle-mounted data display method as described in claim 5, characterized in that, The step of inputting the vehicle motion data into a pre-trained vehicle state prediction model and outputting predicted motion data includes: Acquire vehicle control signals, wherein the vehicle control signals include accelerator pedal pressure and brake pedal pressure; Based on the vehicle control signal, a predicted acceleration is determined, wherein the predicted acceleration is positively correlated with the accelerator pedal pressure and negatively correlated with the brake pedal pressure; The predicted acceleration and the vehicle motion data are input into the pre-trained vehicle state prediction model, and the predicted motion data is output.

7. The vehicle-mounted data display method as described in claim 1, characterized in that, The in-vehicle data display method also includes: In response to the triggered adjustment command, determine the adjustment requirement; Based on the adjustment requirements, the sensitivity parameters in the screen adjustment strategy are optimized. The sensitivity parameters are used to adjust the correlation. The larger the sensitivity parameters are, the higher the adjustment sensitivity between the vehicle motion data and the display parameters reflected by the correlation.

8. A wearable device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the vehicle data display method as described in any one of claims 1 to 7.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the vehicle data display method as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the vehicle data display method as described in any one of claims 1 to 7.

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