Roadside Camera Calibration Using Feature Point Discrepancy
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Solution Overview
Problem
Existing roadside unit calibration methods require separate calibration for each sensor and are prone to inaccuracies due to environmental changes, necessitating complex and error-prone manual calibration processes.
Innovation Solution
An image processing device and method that utilizes a combination of manual and automatic calibration techniques, using GPS receivers or terminal devices to determine feature points in the world coordinate system, and adjusts calibration parameters based on detected feature point discrepancies to maintain accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are arranged to perform monitoring of a wide range, then the monitoring coverage is improved, but the number of cameras increases and synchronization becomes difficult
Solution Approach 1:
The patent merges the functions of multiple cameras into a unified monitoring system with centralized control. The management server consolidates image data from multiple cameras and performs unified synchronization, transforming a complex multi-camera system into a coordinated whole that maintains wide coverage while simplifying synchronization through centralized management.
Solution Approach 2:
The management server performs multiple functions including image reception, synchronization control, and coordinate conversion for all cameras. This multi-functional approach allows a single device to handle the complexity of synchronizing multiple cameras, thereby improving monitoring coverage without proportionally increasing system complexity.
2Ease of manufacture
If images are captured in a coordinate system convenient for the camera, then the imaging process is simplified, but the images cannot be seamlessly stitched together to create a wide-angle view
Solution Approach 1:
The patent introduces a coordinate conversion mechanism as an intermediary between the camera's native coordinate system and the panoramic coordinate system. The management server converts image coordinates from each camera's convenient capture system into a unified panoramic coordinate system, enabling seamless stitching while maintaining the simplicity of individual camera operations.
Solution Approach 2:
The system changes the coordinate parameters of captured images through mathematical transformation. By converting image coordinates from camera-specific systems to a standardized panoramic coordinate system, the patent enables accurate image stitching without altering the simple capture process of individual cameras.
3Area of stationary object
If a panoramic camera is used to perform monitoring of a wide range, then the monitoring coverage is improved, but the resolution of the captured images deteriorates
Solution Approach 1:
Instead of using a single panoramic camera that compromises resolution, the patent segments the monitoring task into multiple standard-resolution cameras positioned at different locations. Each camera captures high-resolution images of its specific field of view, and the management server synthesizes these segmented views into a comprehensive panoramic monitoring coverage, maintaining both resolution and wide-area monitoring capability.
Data Source
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AI summary
An image processing device 10 includes an image interface 18, a memory 19, and a controller 20. The image interface 18 acquires a captured image. The positions of specific feature points in a world coordinate system and reference positions of the specific feature points are stored in the memory 19. The controller 20 detects the specific feature points in the captured image. In a case where discrepancy between the position in the captured image and the reference position is found with regard to a predetermined percentage or more of the specific feature points, the controller 20 recalculates a calibration parameter.