AR-HUD Imaging Model Adjustment for Driver Position Alignment
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Solution Overview
Problem
Existing augmented reality head-up displays (AR-HUDs) face challenges in maintaining alignment with the real world as the driver's posture changes or when different drivers use the vehicle, affecting the display's accuracy and immersion.
Innovation Solution
A projection method and apparatus that adjusts the imaging model's parameters, such as field of view and position, based on the overlap ratio between the calibration object and the projection plane, using image and position information to ensure consistent alignment and improve the display effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the HUD projects a two-dimensional image on a fixed virtual image plane, then the display structure is simple and easy to manufacture, but the display picture cannot remain aligned with the real world when the driver's position changes
Solution Approach 1:
The patent implements dynamic adjustment of the imaging model parameters (such as projection plane position, field of view angle, and distortion correction coefficients) based on real-time detection of driver position. This allows the HUD system to adapt to different driver positions and postures, maintaining accurate alignment between the virtual display picture and the real world objects, thereby resolving the contradiction between adaptability and device complexity.
Solution Approach 2:
The system changes multiple imaging parameters simultaneously including projection plane position, field of view angle, and image distortion correction coefficients based on detected driver position. By dynamically adjusting these parameters, the system maintains alignment accuracy across different driving conditions without requiring multiple physical HUD units, thus improving adaptability while controlling complexity.
2Adaptability or versatility
If the virtual image plane is fixed at a specific distance from the driver's eye, then the optical system is simpler to design, but the display cannot accommodate different sitting postures or different drivers
Solution Approach 1:
The system automatically detects driver position using sensors (such as cameras or position sensors) and autonomously adjusts the imaging model parameters without requiring manual intervention. This self-adjusting capability enables the HUD to adapt to different drivers and sitting postures while maintaining ease of operation, as the alignment process occurs automatically without user effort.
Solution Approach 2:
The system implements a feedback mechanism where driver position is continuously detected and used to adjust imaging parameters in real-time. This closed-loop control ensures that the display remains aligned with the real world regardless of driver position changes, achieving both high adaptability and ease of operation through automated feedback-driven adjustment.
3Reliability
If traditional instruments and central control screens are used, then the display technology isๆ็ and reliable, but the driver must lower their head to observe information, increasing response time and reducing safety
Solution Approach 1:
The patent transitions from traditional two-dimensional flat display (requiring driver head movement) to a three-dimensional spatially-aware augmented reality display where information is projected onto the windshield at the driver's eye level. This dimensional change allows the driver to maintain forward gaze while accessing information, reducing response time while maintaining information reliability through the same display technologies.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method ensures that the AR display is always aligned with the real world, enhancing user experience and immersion by dynamically adjusting parameters to match the driver's position and vehicle conditions.
Implementation Method 1
The head up display mainly uses an optical reflection principle to project and display important related information on a windshield of a vehicle
Data Source
AI summary
This application is applicable to the field of intelligent vehicles, and specifically provides a projection method and apparatus, a vehicle, and an AR-HUD. The projection method includes: obtaining image information and position information of a calibration object; projecting the calibration object based on the image information and the position information of the calibration object and an imaging model; and when an overlap ratio between the calibration object and a projection plane of the calibration object is less than a first threshold, adjusting a parameter of the imaging model. According to this application, an image projected and displayed may be aligned with a real world, which improves a projection display effect.