Control Point Translation Verification for Sensor Calibration
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Solution Overview
Problem
Existing sensor calibration methods rely on accurate control point detection algorithms, but inaccuracies in these algorithms can lead to errors in sensor calibration, resulting in an inaccurate representation of the environment, which is difficult to identify and correct.
Innovation Solution
A method is introduced to evaluate the accuracy and precision of control point detection algorithms by linearly moving control points in a known amount and comparing the detected locations to the actual positions, using a linear translation mechanism, to determine the correlation between physical and detected movements, thereby assessing the quality of control point detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control point detection algorithms are used for sensor calibration, then sensor calibration can be performed, but inaccuracies in the detection algorithms lead to errors in calibration and inaccurate environmental representation
Solution Approach 1:
The patent introduces an intermediary evaluation system that acts as a mediator between the control point detection algorithm and the sensor calibration process. This evaluation system independently verifies detection accuracy by comparing detected control points against known ground truth positions, thereby identifying algorithmic inaccuracies before they propagate into calibration errors.
Solution Approach 2:
The patent implements a feedback mechanism where the evaluation system continuously assesses control point detection performance and provides information about detection accuracy. This feedback loop enables identification of inaccuracies in the detection algorithm, allowing for correction or selection of improved detection methods to enhance overall calibration reliability.
2Productivity
If control point detection algorithms are used without verification, then calibration process can proceed quickly, but it becomes difficult to identify inaccuracies in control point detection
Solution Approach 1:
The evaluation system serves as an intermediary verification layer that does not slow down the main calibration process. It independently checks detection accuracy against known control point positions, making it easy to identify inaccuracies without interfering with the efficiency of the primary calibration workflow.
Solution Approach 2:
The patent creates a copy or replica of the control points with known ground truth positions. By comparing detected control points against these known copies, the system can easily verify detection accuracy and identify inaccuracies without adding significant complexity to the calibration process.
Data Source
AI summary
A sensor calibration evaluation system evaluates the quality of control point detection by translating a control object within a scene by a measured amount to generate a sequence of sensor views of the scene as the control object is translated by a known (measured) amount. The control points within each of the sequence of sensor views are detected with a control point detection algorithm. By detecting the control points and determining the detected movement of the control points, a correlation between the measured movement and detected movement can be determined and represent the quality of the control point detection given the set of detection conditions.