AR Navigation Overlay Alignment via Camera Calibration
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Solution Overview
Problem
Conventional navigation devices with GPS modules lack augmented reality navigation functionality, requiring manual adjustment and fine-tuning to match navigation information with real-time traffic images, which is inconvenient and obstructs the view.
Innovation Solution
A navigation device with a processor that automatically calibrates navigation information to match real-time traffic images captured by a navigation camera, using GPS signals to determine position, generate navigation indicators, and adjust display scales and positions based on viewing angles and zoom scales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment is used to match navigation information with real-time traffic images, then the navigation device can be positioned correctly, but the operation becomes inconvenient and obstructs the driver's view
Solution Approach 1:
The system performs self-calibration by automatically detecting the camera's mounting position and parameters. The processor analyzes the captured real-time traffic image to identify road features and automatically adjusts the mapping parameters to align navigation information with the camera view, eliminating the need for manual intervention.
Solution Approach 2:
The patent replaces manual mechanical adjustment with an automated image processing and calculation system. The processor uses computer vision algorithms to detect road geometry in the camera image and automatically computes the transformation parameters needed to overlay navigation information correctly, substituting mechanical positioning with digital calibration.
2Measurement precision
If manual fine-tuning of display resolution is performed to match navigation information with real-time images, then alignment accuracy improves, but the process becomes complex and time-consuming
Solution Approach 1:
The system automatically determines the optimal display resolution and scaling factors by analyzing the captured image quality and camera parameters. The processor self-adjusts the mapping scale and resolution settings based on the detected road features and camera field of view, eliminating complex manual tuning procedures.
Solution Approach 2:
The patent dynamically adjusts multiple parameters including mapping scale, display resolution, and overlay positioning based on automatically detected camera characteristics. The system changes these parameters programmatically through image analysis rather than requiring manual configuration of each parameter.
3Adaptability or versatility
If the navigation device position is adjusted to achieve augmented reality navigation, then the functionality is achieved, but the device stability is compromised during normal operation
Solution Approach 1:
The patent replaces mechanical repositioning of the navigation device with digital transformation of the displayed image. The camera remains fixed in its mounting position, and the processor applies geometric transformations to the captured image and overlay navigation information to achieve the augmented reality effect, eliminating the need to move the physical device.
Solution Approach 2:
The system transitions from physical spatial adjustment to digital image space transformation. Instead of moving the device in physical space to achieve proper alignment, the patent transforms the navigation information into the camera's image coordinate system through digital processing, adding a computational dimension to the alignment process.
Data Source
AI summary
A navigation device includes a display, a recording medium, a navigation camera, a global positioning system (GPS), and a processor. The processor is operable to determine a current position for generating a navigation route to a destination. Based on a real-time traffic image received from the navigation camera, the processor adjusts a display scale and a display position of the navigation route, superimposes the navigation route on the real-time traffic image to generate a superimposed image, and outputs the superimposed image for viewing on the display and storage in the recording medium.