Automated Camera Calibration Using UE Position Reports
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Solution Overview
Problem
Existing imaging devices lack efficient methods for accurate calibration, particularly in environments without known landmarks, which can lead to errors in determining their position and orientation.
Innovation Solution
Utilizing mobile user equipment (UE) within the field of view to report absolute positions and visual characteristics, enabling the imaging device to perform camera location calibration by associating UE positions with captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional calibration methods using known landmarks are used, then calibration accuracy is maintained, but the system cannot operate in environments without landmarks and requires manual setup
Solution Approach 1:
The system uses mobile UEs themselves to provide calibration data. The UEs report their own positions and visual characteristics, enabling the imaging device to perform self-calibration without external landmarks or manual intervention. This transforms the calibration process into a self-service operation where the objects in the scene contribute their own information for calibration purposes.
Solution Approach 2:
Mobile UEs act as intermediaries between the imaging device and the calibration process. Instead of requiring direct observation of known landmarks, the system uses UEs as mediating objects that report their positions and visual characteristics, thereby enabling indirect calibration without traditional landmarks.
2Productivity
If manual calibration setup is used, then calibration accuracy is achieved, but the process is time-consuming and requires human intervention
Solution Approach 1:
The calibration process is automated through self-service mechanisms. Mobile UEs automatically report their positions and visual characteristics to the imaging device, which then performs calibration autonomously without requiring manual setup or human intervention, thereby dramatically improving both speed and operational simplicity.
Solution Approach 2:
The system implements a feedback loop where mobile UEs continuously report their positions and visual characteristics to the imaging device. This real-time feedback enables automated calibration adjustments, allowing the system to adapt and optimize calibration parameters dynamically without manual intervention, thereby improving both productivity and ease of operation.
3Adaptability or versatility
If static landmark-based calibration is used, then position determination accuracy is maintained, but the system lacks flexibility in dynamic environments
Solution Approach 1:
The system transitions from static landmark-based calibration to dynamic UE-based calibration. Mobile UEs provide continuously updating position and visual characteristic data, allowing the calibration process to adapt to changing environmental conditions and camera movements in real-time, thereby maintaining accuracy in dynamic environments.
Solution Approach 2:
Mobile UEs serve multiple functions: they act as both calibration targets and position reference points. By utilizing the universal capability of UEs to provide both visual characteristics and position information, the system achieves flexible adaptation to dynamic environments while maintaining determination accuracy through multi-functional data utilization.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. Techniques described herein provide for communication-assisted automated camera calibration. An imaging device may transmit a message requesting position reports from mobile UEs satisfying a positioning condition. The UE may transmit, to the imaging device, a position report indicating a position of the UE and a visual characteristic of the UE. The imaging device may identify the UE in an image captured by the imaging device using the visual characteristic. The imaging device may determine an association between the position of the UE and a position of the UE in the captured image. The imaging device may perform the calibration procedure using the association.