Sensor Calibration Visualization for Coordinate Matrix Verification
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Solution Overview
Problem
Existing calibration methods for sensor systems on mobile devices like robots and automated driving vehicles rely on numerical data to determine success/failure of coordinate transformation matrices, leading to potential erroneous determinations due to threshold setting and difficulty in identifying error factors.
Innovation Solution
A calibration execution device and system that generates visualized data to confirm the correctness of calculated coordinate transformation matrices, allowing for easy error identification and display on a display unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If numerical data and threshold comparison are used to determine calibration success, then the calibration process can be automated, but erroneous determinations occur and error factors cannot be identified
Solution Approach 1:
The patent replaces the numerical threshold comparison mechanism with a visual representation mechanism. Instead of comparing numerical values against thresholds, the system generates visual images showing coordinate transformation results, allowing operators to visually assess calibration quality and identify specific error locations, thereby eliminating erroneous automated determinations while maintaining automation benefits
Solution Approach 2:
The patent introduces visual images as an intermediary between the calibration process and the determination of success. These images serve as a mediator that translates complex numerical coordinate transformation data into visually interpretable forms, enabling both automated processing and reliable human verification without direct numerical threshold comparison
2Device complexity
If numerical data is used for calibration verification, then data processing is simplified, but error identification and analysis become difficult
Solution Approach 1:
The patent employs visual imaging to represent coordinate transformation results, where different visual elements or color codes can indicate various aspects of calibration quality. This visual representation makes error identification intuitive and immediate, contrasting with the abstract nature of numerical data where errors are difficult to locate and interpret
3Ease of operation
If threshold values are set for calibration determination, then automated decision-making is enabled, but erroneous determinations occur due to inappropriate threshold settings
Solution Approach 1:
The patent substitutes the threshold-based decision mechanism with visual assessment. Instead of relying on predetermined numerical thresholds that may be inappropriate for specific cases, the system provides visual images that allow for flexible, case-by-case evaluation, maintaining automated operation while improving determination precision
Solution Approach 2:
The patent introduces dynamic visual representation that can adapt to different calibration scenarios. Rather than fixed numerical thresholds, the visual images can be adjusted and interpreted based on specific requirements, allowing the determination criteria to be flexible and situation-appropriate while maintaining automated processing
Data Source
AI summary
An image capable of visually confirming whether or not a coordinate transformation matrix calculated in sensor calibration is correct is generated and displayed. A calibration execution unit that executes calibration of a sensor, and a display information generation unit that generates image data capable of confirming whether or not calibration processing in the calibration execution unit has succeeded are included. The calibration execution unit calculates a coordinate transformation for transforming a sensor coordinate system corresponding to the sensor into another second coordinate system, and the display information generation unit generates and displays image data capable of visually confirming whether or not the calculated coordinate transformation matrix is a correct coordinate transformation matrix, for example, image data in which an origin and coordinate axes constituting the sensor coordinate system are displayed in a superimposed manner on a three-dimensional image of the sensor.


