Vehicle Camera Calibration Using Overlapping Marker Tags
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Solution Overview
Problem
Current camera calibration systems for vehicles require manual intervention, which is time-consuming and inefficient, especially when multiple cameras with overlapping fields of view are used to minimize blind spots and obtain complete surroundings information.
Innovation Solution
An automated camera calibration system that uses a controller to detect calibration markers in overlapping fields of view from multiple cameras, assigns tags to these markers, and calibrates the cameras based on their positions and angles to align their views effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual intervention is used to calibrate cameras, then calibration can be performed, but it takes a lot of time and is inefficient
Solution Approach 1:
The system enables cameras to calibrate themselves automatically by detecting calibration markers in their own captured images and comparing them with reference data, eliminating the need for manual intervention while maintaining calibration accuracy
Solution Approach 2:
The patent replaces manual mechanical calibration operations with an automated computer vision system that uses image processing and algorithmic computation to detect calibration markers and calculate camera parameters, significantly reducing calibration time
2Reliability
If multiple cameras are installed to minimize blind spots, then complete surroundings information can be obtained, but the complexity of calibration increases
Solution Approach 1:
The patent employs a universal calibration marker that can be detected by all cameras in the system and a unified calibration algorithm that processes images from multiple cameras simultaneously, allowing the same calibration approach to work for any number of cameras without increasing system complexity
Solution Approach 2:
The calibration marker serves as an intermediary object that facilitates the calibration process between multiple cameras and the control device, providing a common reference point that simplifies the calibration of the entire camera network
3Reliability
If overlapping fields of view are used to reduce blind spots, then complete surroundings information is obtained, but the calibration process becomes more difficult
Solution Approach 1:
The calibration marker acts as an intermediary reference object placed in the overlapping field of view, enabling the control device to detect and measure the spatial relationship between cameras with different viewing angles, thereby simplifying the calibration of overlapping fields
Solution Approach 2:
The system changes the parameter representation by using tag-based identification and coordinate transformation to map calibration markers from different camera perspectives into a unified spatial reference frame, making the calibration of overlapping fields tractable
Data Source
AI summary
A camera calibration system according to an exemplary embodiment includes a first camera capturing the surroundings of a vehicle; a second camera capturing the surroundings of the vehicle and having an overlapping field of view that overlaps with a field of view of the first camera; and a controller configured to receive a first image obtained by the first camera and a second image obtained by the second camera, detect a plurality of calibration markers positioned in the overlapping field of view in the first image and assign a tag to each of the plurality of calibration markers detected in the first image, detect a plurality of calibrate markers positioned in the overlapping field of view in the second image and assign a tag to each of the plurality of calibrate markers detected in the second image, and calibrate the field of view of at least one of the first camera and the second camera based on the tag assigned to each of the plurality of calibration markers detected in the first image and the tag assigned to each of the plurality of calibration markers detected in the second image.