Pixel-Frame AOP Orientation for Inclined Polarized-Light Navigation
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Solution Overview
Problem
Existing navigation methods using atmospheric polarized light orientation fail to effectively utilize the angle of polarization (AOP) in the pixel frame for navigation under inclined conditions, leading to significant navigation errors and limitations in application.
Innovation Solution
An atmospheric polarized light orientation method utilizing a solar azimuth region, which includes detecting a four-channel polarization image, calculating AOP, establishing a theoretical model, extracting the solar azimuth region using a region growth model, and calculating approximate solar azimuth angles to improve orientation accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If photodiode-based point-source polarization navigation is used, then navigation can be achieved, but additional sensors are required and mechanical structure becomes complex
Solution Approach 1:
The patent combines multiple functions into a single image polarimeter device that can capture polarization information across the entire field of view simultaneously, eliminating the need for separate sensors and mechanical scanning structures used in photodiode-based systems
Solution Approach 2:
The patent replaces mechanical scanning structures with an optical-based image polarimeter that captures polarization data through optical filtering, eliminating moving parts and mechanical complexity while maintaining navigation capability
2Area of stationary object
If photodiode-based point-source polarization navigation with large field of view is used, then wider detection coverage is achieved, but scanning time increases
Solution Approach 1:
The image polarimeter continuously captures polarization information across the entire field of view in each frame, eliminating the sequential scanning process that causes time delays, allowing simultaneous measurement of all pixels
Solution Approach 2:
The patent transitions from one-dimensional point-by-point scanning to two-dimensional parallel imaging, where all pixels in the field of view are measured simultaneously, dramatically reducing scanning time while maintaining wide coverage
3Reliability
If imaging polarization navigation method is used, then navigation orientation can be achieved, but theoretical model is lacking
Solution Approach 1:
The patent performs preliminary coordinate transformations to convert AOP from the incident light frame to the pixel frame using established theoretical models, creating a solid theoretical foundation that enables accurate navigation orientation
Solution Approach 2:
The patent introduces coordinate transformation as an intermediary process that bridges the gap between the incident light frame and pixel frame, enabling the imaging polarization navigation method to function with complete theoretical modeling
4Reliability
If AOP in incident light frame is used for navigation, then navigation can be performed, but orientation accuracy decreases under inclined attitude
Solution Approach 1:
The patent changes the reference frame parameter from incident light frame to pixel frame through coordinate transformation, adapting the AOP measurement to the actual sensor orientation and thereby maintaining high orientation accuracy under inclined attitudes
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 enables accurate navigation under inclined conditions by directly utilizing AOP in the pixel frame, establishing a vision-modulated model, and performing navigation solutions with a seed line and horizontal attitude angle, thereby enhancing orientation accuracy and speed.
Implementation Method 1
detecting a four-channel polarization image by utilizing an image polarimeter, and calculating an AOP φm according to the four-channel polarization image
Data Source
AI summary
It discloses an atmospheric polarized light orientation method using a solar azimuth region, provides an angle of polarization (AOP) vision-modulated model in a pixel frame, and gives an orientation strategy utilizing the solar azimuth region; a horizontal attitude angle is introduced into the AOP in the pixel frame, and orientation is implemented by utilizing a separation point and a principal point of photograph; specifically, a seed line extraction algorithm is given to update the solar azimuth in real time, a morphological expression and an AOP expression of the solar azimuth are fused for an optimum estimation to the solar azimuth, and ultimately the orientation is achieved by using an external sensor such as an inertial navigation system to input the horizontal attitude angle.