Vehicle HUD Latency Reduction via Predictive State Rendering
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Solution Overview
Problem
Current head-up display (HUD) systems suffer from significant latency issues, causing the virtual image to 'swim' or 'tremble', which can lead to misinterpretation of information and discomfort for drivers, due to the complex system chain and high computing demands for accurate positioning of virtual elements within the driver's field of vision.
Innovation Solution
A method that synchronizes sensor data acquisition, vehicle state prediction, and AR display generation by pre-calculating the vehicle's position and orientation, using a calculation model that accounts for sensor data acquisition and processing times, and applying time warp operations for post-processing, combined with front buffer rendering and low-persistence display modes to reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accurate positioning of virtual elements is implemented using complex system chains and high computing demands, then positioning precision is improved, but system latency increases causing the virtual image to swim or tremble
Solution Approach 1:
The patent applies preliminary action by pre-calculating vehicle states (position, orientation, acceleration, angular velocity) before they are actually needed for display. The system predicts future vehicle states based on current sensor data and physical models, allowing the rendering process to use already-computed values rather than calculating them in real-time during the display cycle. This reduces latency while maintaining positioning accuracy.
Solution Approach 2:
The patent implements dynamics by continuously updating vehicle state predictions based on real-time sensor data and physical models. The system dynamically adjusts predicted vehicle states using measured acceleration and angular velocity, ensuring that the virtual image positioning adapts to changing vehicle conditions while maintaining low latency through efficient predictive calculations.
2Measurement precision
If real-time vehicle state prediction and rendering are performed, then positioning accuracy is improved, but processing time increases
Solution Approach 1:
The patent pre-calculates vehicle states (position, orientation, acceleration, angular velocity) using physics-based models before the rendering process needs them. By predicting future vehicle states in advance based on current sensor measurements and known physical parameters, the system eliminates the need for time-consuming real-time calculations during the critical rendering path, thereby reducing processing time while maintaining high positioning accuracy.
Solution Approach 2:
The patent creates simplified copies or representations of vehicle states through predictive models. Instead of performing complex real-time physics simulations during rendering, the system uses pre-computed predicted vehicle states that approximate the true physical state, significantly reducing processing time while maintaining sufficient accuracy for HUD display purposes.
3Manufacturing precision
If the display system processes sensor data through multiple stages including rendering and post-processing, then image quality is improved, but overall latency increases
Solution Approach 1:
The patent applies preliminary action by completing the rendering process using predicted vehicle states before actual vehicle states are fully available. The time warp post-processing step then quickly adjusts the already-rendered image based on minor differences between predicted and actual states. This approach maintains high image quality through proper rendering while minimizing latency by avoiding re-rendering, processing only lightweight transformation calculations in the post-processing stage.
Data Source
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AI summary
The invention relates to a method for causing additional information to be displayed in the correct position on a display unit (20) for a vehicle (10), wherein the vehicle (10) is equipped with a number of sensors (130, 150, 170) for detecting the state of the vehicle (10) and of the surroundings. The data from the sensors (130, 150, 170) is periodically processed in the method. One particularity of the method consists in the fact that the state of the vehicle (10) is predicted, wherein the predicted state is transferred to a rendering process for calculating the image to be displayed, wherein at least the position of the display of the additional information in the display image is calculated on the basis of the prediction of the state of the vehicle (10) in the rendering process. During the rendering process, the state of the vehicle (10) is detected again, and post-processing of the calculated image is then carried out, wherein the image content is transformed, the transformation calculation being determined by the updated state of the vehicle (10).