AR Navigation Projection Alignment for Vehicle-Mounted Glasses
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing AR navigation technologies face challenges in accurately projecting navigation information onto vehicle-mounted glasses due to head movements, leading to position offsets and affected user experience.
Innovation Solution
A navigation method that acquires a real-world image and navigation information, converts the image to match the eyebox of vehicle-mounted glasses, superimposes navigation information onto the projection image, and transmits it for display, thereby ensuring accurate alignment and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AR navigation information is projected onto vehicle-mounted glasses, then users can obtain navigation information in an augmented reality form, but position offset occurs between the projected navigation information and the observed image due to head shaking
Solution Approach 1:
The system captures real-world images through cameras on the vehicle-mounted glasses, tracks feature points in these images, and uses the tracked feature points to calculate the current pose of the glasses. This feedback loop continuously updates the projection parameters to compensate for head movements, ensuring the navigation information remains accurately aligned with the real-world features despite user head shaking.
Solution Approach 2:
Feature points in the real-world image serve as an intermediary reference system. The navigation information is projected based on the spatial relationship between these feature points and the camera position, creating a stable reference frame that compensates for head movements. This intermediary reference system allows the AR navigation to maintain accurate positioning even when the user's head position changes.
2Measurement precision
If the projection image is continuously adjusted to match the eyebox of vehicle-mounted glasses, then position alignment accuracy is improved, but the system complexity increases
Solution Approach 1:
The system creates a virtual copy of the real-world scene through the projection image, which is then overlaid with navigation information. By working with this copied virtual representation rather than directly manipulating the physical projection, the system can perform complex image processing and alignment calculations more efficiently, reducing overall system complexity while maintaining high position alignment accuracy.
Data Source
AI summary
A navigation method, an electronic device and a readable storage medium, 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.