Inertial Sensor Correction Using Stable-State Motion Calibration

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Solution Overview

Problem

Existing inertial sensor systems suffer from inaccuracies and drift in position and motion data due to sensor errors, which are not effectively compensated for during operation, leading to reduced accuracy and efficiency in navigation and motion determination.

Innovation Solution

A method and apparatus for operating an inertial sensor system that detects a stable state of motion, calculates average speed and orientation, and adjusts parameters for a correction model using a probabilistic filter to minimize differences in motion and orientation, allowing dynamic compensation of sensor errors during operation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Duration of action of stationary object

If sensor systems operate for extended periods, then continuous motion data can be collected, but sensor errors cause drift and reduced accuracy in position and motion data

Engineering Contradiction:
Improveoperation durationVSAvoidposition and motion data accuracy
Core Design Contradiction:
Duration of action of stationary objectVSMeasurement precision

Solution Approach 1:

The system performs preliminary calibration by detecting stable motion states and calculating correction parameters before these parameters are applied to compensate for sensor errors during extended operation, preventing drift accumulation

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors motion data, detects stable states, calculates orientation differences, and adjusts correction parameters based on the discrepancy between direction of motion and sensor orientation, creating a closed-loop feedback mechanism that maintains accuracy over time

Inventive Principle:
Principle #23Feedback

2Measurement precision

If correction parameters are adjusted dynamically during operation, then accuracy is maintained, but additional processing steps and computational resources are required

Engineering Contradiction:
Improvesensor data accuracyVSAvoidprocessing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system dynamically adjusts correction parameters during operation based on detected stable motion states, allowing the correction model to adapt to changing conditions while maintaining a relatively simple processing architecture

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes correction parameters based on the calculated difference between direction of motion and sensor orientation during stable states, optimizing accuracy without requiring complex system redesign

Inventive Principle:
Principle #35Parameter changes

3Reliability

If stable states are detected and correction parameters are calculated, then sensor errors are compensated, but processing time and computational resources are consumed

Engineering Contradiction:
Improveerror compensation effectivenessVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs correction parameter calculation periodically during detected stable motion states rather than continuously, reducing processing time while maintaining effective error compensation when conditions allow

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system applies correction parameters selectively during stable states rather than continuously, performing partial correction actions when conditions are favorable and accepting reduced correction activity during unstable periods

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250244356A1Method for operating a sensor system, apparatus for processing sensor data and sensor system
Publication Date: 2025.07.31 ROBERT BOSCH GMBH
  • US20250244356A1 patent drawing
  • US20250244356A1 patent drawing

AI summary

A method for operating and calibrating an inertial sensor system. Parameters for a correction model are adjusted for compensating for sensor errors during operation. The parameters can be ascertained by evaluating a course of the speed.