Vehicle-Mounted AR Navigation Alignment for Head Movement Compensation
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Solution Overview
Problem
Existing AR navigation technologies face issues with position offset due to user head movement, affecting the accuracy and user experience when projecting navigation information onto vehicle-mounted glasses.
Innovation Solution
A navigation method and apparatus that acquires real-world images and navigation information, converts them to match the eyebox of vehicle-mounted glasses, and superimposes navigation data for accurate display, using positional relationships between image capturing devices and the glasses to adjust for head movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AR navigation information is projected onto vehicle-mounted glasses, then the user can observe navigation information in the real world, but position offset occurs due to head movement affecting accuracy
Solution Approach 1:
The system continuously tracks the real-world image and calculates the positional relationship between the first image capturing device (IVI system) and the second image capturing device (glasses). This feedback mechanism dynamically adjusts the projection image to compensate for head movement, maintaining accurate alignment between navigation information and the user's field of view.
Solution Approach 2:
The system pre-calculates the positional relationship between the two image capturing devices and establishes the transformation matrix in advance. By preparing the projection image conversion beforehand based on anticipated head movement patterns, the system reduces latency and maintains positioning accuracy during actual navigation.
2Measurement precision
If the projection image is converted to match the eyebox of vehicle-mounted glasses, then the navigation information aligns with the user's field of view, but the system complexity increases due to multiple image capturing devices
Solution Approach 1:
The system uses a universal coordinate transformation approach that can handle multiple image capturing devices with different positions and orientations. The transformation matrix methodology provides a unified framework for converting images from various sources to match the eyebox, reducing the need for device-specific processing logic.
Solution Approach 2:
The system introduces an intermediate processing step where the first real-world image is converted to a second real-world image coordinate system, which then serves as the basis for generating the projection image. This intermediary transformation simplifies the overall conversion process by breaking it into manageable stages.
3Measurement precision
If real-time image conversion is performed to compensate for head movement, then navigation accuracy is maintained, but the processing time and computational load increase
Solution Approach 1:
The system pre-calculates and stores the transformation matrix between the first and second image capturing devices. By preparing these conversion parameters in advance rather than computing them in real-time during navigation, the system significantly reduces processing time while maintaining positioning accuracy.
Solution Approach 2:
The system dynamically adjusts the projection image based on real-time head movement detection, but uses pre-computed transformation matrices to minimize computational overhead. This dynamic adaptation with pre-prepared data structures allows the system to respond quickly to head movements without excessive processing delays.
Data Source
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AI summary
A navigation method and apparatus, an electronic device, a readable storage medium, and a computer program product are provided, which relate to a field of vehicle networking technology, and in particular to a field of navigation technology. The navigation method includes: acquiring a real world image and a navigation information; converting the real world image to obtain a projection image, wherein the projection image is matched with an eyebox of at least one pair of vehicle-mounted glasses; superimposing the navigation information on the projection image to obtain a navigation image; and transmitting to the vehicle-mounted glasses the navigation image so that the navigation image is displayed by the vehicle-mounted glasses. In the solution, the AR navigation is implemented based on the vehicle-mounted glasses, and an influence on the effect of the AR navigation caused by the change of the position of the user's head may be avoided, so as to ensure the effect of the AR navigation and the user's experience.