Camera Position Detection via Lane-Line Matrix Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The accuracy of 3D position coordinate detection in unmanned vehicle systems is low due to the reliance on pre-trained machine models for calculating actual obstacle heights, which affects the precision of obstacle positioning.
Innovation Solution
A method that detects lane lines in images captured by a camera, optimizes the transformation matrix between the world and camera coordinate systems, and uses this optimized matrix to determine the 3D coordinates of target objects, improving the accuracy of position detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a pre-trained machine model is used to obtain the actual height value of the obstacle, then the device complexity is reduced, but the measurement precision of the 3D position coordinate is degraded
Solution Approach 1:
The patent introduces lane line detection as an intermediary element to establish a more accurate transformation matrix between world coordinates and camera coordinates. By using the detected lane lines as reference objects with known geometric properties, the system creates an intermediate calibration step that improves the overall measurement precision without significantly increasing device complexity
Solution Approach 2:
The patent changes the parameters used in the transformation matrix calculation from pre-trained model outputs to parameters derived from real-time lane line detection. This includes using the detected lane line positions and angles to dynamically adjust the transformation matrix, thereby improving measurement accuracy while maintaining computational efficiency
2Ease of operation
If a pre-trained machine model is used to calculate the actual obstacle height, then the ease of operation is improved, but the accuracy of obstacle positioning is degraded
Solution Approach 1:
The patent performs preliminary detection of lane lines and calculation of the transformation matrix before processing the obstacle height measurement. By pre-establishing an accurate coordinate transformation relationship based on detected lane lines, the system simplifies the subsequent obstacle positioning operation while improving its accuracy through the use of calibrated parameters
Data Source
AI summary
Embodiments of the present disclosure disclose a method for position detection, a device, and a storage medium. The method includes: detecting a first lane line in a current image captured by a camera; performing an optimization on an initial transformation matrix reflecting a mapping relationship between a world coordinate system and a camera coordinate system based on a detection result of the first lane line; and obtaining a first 3D coordinate of a target object in the current image according to a transformation matrix optimized, and determining an ultimate 3D coordinate of the target object according to the first 3D coordinate.