Parametric Online Calibration for ToF Wiggling Error
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Solution Overview
Problem
Imaging systems face accuracy issues due to 'wiggling error' caused by higher frequency components in non-sinusoidal electromagnetic radiation, leading to unreliable distance measurements in time-of-flight applications.
Innovation Solution
Adaptive calibration and compensation of wiggling error through a parametric model with dynamic parameter estimation and online correction, using multi-phase sampling and phasor analysis to refine distance calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If time-of-flight imaging systems use non-sinusoidal electromagnetic radiation for distance measurement, then the system can operate with simpler hardware and faster processing, but higher frequency components cause wiggling error that reduces measurement accuracy
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting calibration parameters to compensate for wiggling error. The system estimates calibration parameters that characterize the non-sinusoidal waveform distortion and uses these parameters to correct distance measurements, thereby maintaining high processing speed while improving measurement accuracy through mathematical parameter adjustment rather than hardware changes
2Measurement precision
If the imaging system performs offline calibration to correct wiggling error, then measurement accuracy can be improved, but the system cannot adapt to changing conditions and requires re-calibration
Solution Approach 1:
The patent implements dynamics by transitioning from static offline calibration to dynamic online calibration. The system continuously estimates calibration parameters in real-time based on current operating conditions, allowing the calibration to adapt dynamically to changing environmental factors and maintain accuracy without requiring manual re-calibration or fixed calibration procedures
3Measurement precision
If the imaging system uses complex calibration procedures to compensate for wiggling error, then measurement accuracy improves, but the device complexity and processing time increase
Solution Approach 1:
The patent applies self-service by enabling the imaging system to perform its own calibration automatically without external intervention. The system uses built-in sensors and processing capabilities to estimate calibration parameters and compensate for wiggling error independently, eliminating the need for complex external calibration equipment or manual procedures while maintaining high measurement accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of distance measurements by effectively compensating for systematic errors, improving the reliability of imaging systems in vehicle and consumer device applications.
Implementation Method 1
Time-of-flight (ToF) cameras, for example, may use imaging devices to measure the distance of an object from the camera
Implementation Method 2
This can be made possible with light signals reflected off of the discrete points, for example
Data Source
AI summary
Representative implementations of devices and techniques provide adaptive calibration and compensation of wiggling error for imaging devices and systems. In various implementations, the wiggling error is modelled using identified parameters. For example, the parameters (or coefficients) of the wiggling error are estimated using the model. In an implementation, the imaging system uses the derived model to adaptively compensate for the wiggling error during runtime.