Multi-Sensor Extrinsic Calibration Using Outlier-Based Self-Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices with multiple sensors face issues in maintaining accurate extrinsic calibration parameters due to abnormal displacements, leading to incorrect data alignment and reduced user experience.
Innovation Solution
A system and method for generating extrinsic calibration parameters by comparing observation data from multiple sensors to identify outliers and calibrate sensors based on data from non-outlier sensors, enhancing accuracy without additional calibration devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extrinsic calibration parameters are not recalibrated after sensor displacement, then the device structure remains simple and operation is easy, but measurement precision and reliability deteriorate due to incorrect data alignment
Solution Approach 1:
The system performs self-calibration by using its own sensors to detect outliers and generate correction parameters automatically. The processor compares observation data from multiple sensors, identifies outliers, and generates extrinsic calibration parameters without requiring external calibration equipment or manual intervention, enabling the device to maintain measurement precision autonomously
Solution Approach 2:
The system dynamically adjusts extrinsic calibration parameters based on real-time observation data comparison. When sensor displacement is detected through outlier analysis, the processor modifies the calibration parameters to compensate for the displacement, allowing the system to adapt to changing conditions and maintain measurement accuracy
2Measurement precision
If traditional calibration methods are used after sensor displacement, then measurement precision can be restored, but additional calibration devices and increased device complexity are required
Solution Approach 1:
The system uses its existing sensors to perform calibration functions without requiring external calibration equipment. The processor analyzes observation data from the sensors themselves to identify outliers and generate calibration parameters, eliminating the need for separate calibration devices and reducing overall system complexity
Solution Approach 2:
The sensors serve dual functions: both normal operation/data collection and calibration/outlier detection. The same sensors used for primary functions are also utilized to detect calibration errors and generate correction parameters, eliminating the need for dedicated calibration hardware and reducing device complexity
Data Source
AI summary
An extrinsic calibration parameter generating device, system, and method are provided. Each of sensors of the device generates an observation data corresponding to a spatial point. A processor of the device calculates a spatial position of the spatial point indicated by each of the observation data based on the observation data of each of the sensors. The processor compares the spatial position indicated by each of the observation data to determine whether each of the observation data belongs to an outlier value or a normal value. In response to the observation data corresponding to a first sensor belonging to the outlier value, the processor generates an extrinsic calibration parameter corresponding to the first sensor based on the observation data of each of at least one second sensor.