In-Cabin Sensor Misalignment Correction Using Reference Frames
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Solution Overview
Problem
Occupant monitoring systems in vehicles face challenges with sensor misalignment due to vibrations, environmental conditions, and wear, leading to inaccurate calibration that is not typically recalibrated outside of repairs, requiring manual recalibration which is time-consuming and inefficient.
Innovation Solution
Systems and methods for detecting and correcting sensor misalignment using static region masks, similarity quantification, and neural networks to generate calibration adjustments, allowing automatic detection and correction without manual recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recalibration is performed to correct sensor misalignment, then sensor data accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs automatic self-calibration by detecting static regions in sensor data, comparing them against reference frames, and generating calibration adjustments without human intervention. The processor autonomously identifies misalignment through image processing and applies corrections, eliminating the need for manual recalibration operations.
Solution Approach 2:
The system captures reference frames during manufacturing when sensors are properly aligned and stores them for future comparison. This preliminary action creates a baseline that enables automatic detection and correction of subsequent misalignment, allowing the system to self-correct without returning to the factory for recalibration.
2Measurement precision
If manual recalibration is performed to correct sensor misalignment, then sensor data accuracy is improved, but operational complexity increases
Solution Approach 1:
The system autonomously performs calibration by processing sensor data, comparing static regions against reference frames, and applying corrections without requiring technician intervention. The entire calibration process is automated through software algorithms that detect misalignment and generate correction parameters independently.
Solution Approach 2:
The patent replaces manual mechanical recalibration procedures with automated software-based image processing and computational algorithms. Instead of physically adjusting sensors through manual operations, the system uses digital image analysis and mathematical transformations to detect and correct misalignment automatically.
3Ease of operation
If sensors are not recalibrated after manufacturing, then operational complexity is reduced, but sensor alignment accuracy deteriorates over time
Solution Approach 1:
The system continuously monitors sensor alignment by periodically comparing current sensor frames against stored reference frames throughout the vehicle's operational life. This ongoing automatic detection and correction ensures sustained calibration accuracy without requiring periodic manual intervention or maintenance stops.
Solution Approach 2:
The autonomous calibration system enables the vehicle to self-maintain sensor alignment accuracy throughout its service life. By automatically detecting and correcting misalignment caused by vibrations, temperature changes, or other environmental factors, the system eliminates the need for external recalibration services while maintaining measurement precision.
Data Source
AI summary
Systems and methods are disclosed related to detection and correction of sensor misalignment for in-cabin monitoring systems and applications. For example, a misalignment between a current sensor state and a calibrated sensor state may be detected and quantified from corresponding test and reference frames of sensor data. When a threshold misalignment is detected, the test frame of sensor data may be used to generate and apply a corresponding calibration adjustment. The present techniques may be utilized to detect and correct sensor misalignment for use by autonomous machines, semi-autonomous machines, other types of ego-machines, and/or other sensing applications.