Wide-Angle Camera Correction for Accurate Distance Calculation
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Solution Overview
Problem
Wide-angle cameras capture distorted images, making it difficult for car computers to accurately judge road conditions and calculate distances between vehicles and surrounding objects, affecting driving safety.
Innovation Solution
A smart identification method using a wide-angle camera that corrects distorted images through a correction formula involving lens rotation, pitch angle, yaw angle, and inverse perspective projection, transforming image coordinates to world coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide-angle camera is used to capture images from various directions, then the coverage area is improved, but the image distortion increases making it difficult to accurately judge road conditions and calculate distances
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction parameters (rotation angles, pitch angles, yaw angles, and projection parameters) for multiple predetermined positions before actual use. When the camera is installed, the system selects the appropriate pre-calculated parameters based on the camera's installation position, eliminating the need for real-time complex calculations and enabling immediate distortion correction with high measurement precision.
Solution Approach 2:
The patent utilizes parameter changes by transforming the distorted wide-angle image coordinates into corrected world coordinates through a series of parameter transformations including rotation parameters (θyaw, θpitch, θroll), projection parameters (H, Zc), and coordinate scaling parameters (Kx, Ky). These parameter changes enable the system to convert distorted images into geometrically accurate representations suitable for precise distance calculation and road condition judgment.
2Measurement precision
If image correction is performed using complex correction formulas involving multiple matrices and parameters, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent reduces device complexity through preliminary action by pre-calculating all complex correction parameters (matrices A, B, C, D and associated angles and coordinates) during the design phase and storing them in memory. During actual operation, the system only needs to retrieve and apply these pre-computed parameters, transforming a complex real-time calculation problem into a simple data lookup and application process.
Solution Approach 2:
The patent applies mechanics substitution by replacing complex mechanical or computational correction mechanisms with a data-driven approach. Instead of using complex hardware adjustments or real-time iterative calculations, the system substitutes these with pre-computed correction parameters stored in memory, which are applied through simple mathematical transformations, thereby significantly reducing system complexity while maintaining high measurement precision.
Data Source
AI summary
A smart identification system and a smart identification method by using a wide-angle camera are provided. The system includes a memory and a processor. The processor can load instructions stored in the memory to perform the smart identification method. The method includes: providing an image correction pattern; capturing an image of the image correction pattern by using a wide-angle camera to obtain a correction pattern image; and performing a picture rotation correction, a lens pitch angle correction, an inverse perspective projection and lens yaw angle correction on the wide-angle camera by using a matrix of lens rotation correction, a matrix of lens pitch angle correction, a matrix of lens yaw angle correction and inverse perspective projection, and a matrix of coordinates transformation, to straighten grid lines in the correction pattern image and transform coordinates in the correction pattern image captured by the wide-angle camera to world coordinates.