Lidar Vibration Signal Outlier Correction

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Solution Overview

Problem

Conventional multiple-beam LIDAR systems face inaccuracies when measuring vibration velocity fields, particularly on nonsmooth surfaces like human faces, due to beams missing the surface or encountering discontinuities, leading to outlier measurements.

Innovation Solution

The system identifies beams with similar vibration velocity values over a specified time window, replaces outlier values with median values from these groups, and applies scale factors to ensure accurate profiling of the vibration velocity field.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional multiple-beam LIDAR systems combine data from each beam by averaging measurements, then range and velocity estimates can be produced, but measurement precision deteriorates due to outlier values from beams missing the surface or encountering discontinuities

Engineering Contradiction:

Improvemeasurement frequencyVSAvoidvibration velocity measurement accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent extracts and removes outlier measurements from the beam data before combining results. By identifying and eliminating abnormal values that arise from beams missing the surface or encountering discontinuities, the system prevents these outliers from degrading the overall measurement precision while maintaining the benefits of multiple-beam measurement frequency.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent implements feedback mechanisms where the system continuously monitors beam measurements, identifies outliers through comparison with expected patterns, and adjusts the data combination process accordingly. This feedback loop ensures that abnormal measurements are detected and corrected in real-time, maintaining measurement precision across multiple beams.

Inventive Principle:

Principle #23Feedback

2Productivity

If multiple beams are used to measure vibration velocity field, then measurement frequency increases, but measurement precision decreases due to outlier values from nonsmooth surfaces

Engineering Contradiction:

Improvemeasurement frequencyVSAvoidvibration velocity measurement accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent converts the harmful effect of outliers into a benefit by using the presence of outliers as indicators to improve the measurement process. By analyzing which beams produce outlier values and why (e.g., hitting discontinuities on nonsmooth surfaces), the system learns to adjust beam selection and processing to eliminate these errors while maintaining high measurement frequency.

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The patent changes processing parameters dynamically based on surface characteristics. When detecting nonsmooth surfaces with discontinuities, the system adjusts parameters such as beam weighting, outlier thresholds, and combination methods to optimize measurement precision while maintaining the advantages of multiple-beam operation.

Inventive Principle:

Principle #35Parameter changes

3Area of stationary object

If beams are directed at nonsmooth surfaces like human faces, then more surface points can be measured, but measurement precision deteriorates due to discontinuities and hair

Engineering Contradiction:

Improvesurface coverage areaVSAvoidvibration velocity measurement accuracy

Core Design Contradiction:

Area of stationary objectVSMeasurement precision

Solution Approach 1:

The patent segments the surface measurement task into multiple independent beam measurements, then processes each beam's data separately before combining results. By treating each beam's measurement independently and applying outlier detection at the individual beam level, the system can handle discontinuities and hair on nonsmooth surfaces without compromising overall measurement precision across the entire surface area.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality control by allowing different processing strategies for different regions of the surface. Beams measuring smooth regions can use standard processing, while beams encountering discontinuities or hair apply outlier detection and correction methods, ensuring each local region contributes optimally to the overall measurement accuracy.

Inventive Principle:

Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach results in a more accurate and continuous representation of the vibration velocity field, reducing measurement inaccuracies and providing a precise profile of surface vibrations.

Implementation Method 1

measuring a vibration velocity field over an object

Methodology Applied

Scientific EffectDoppler effect: Doppler Effect

Implementation Method 2

Light Detection And Ranging (LIDAR)

Methodology Applied

Scientific EffectLight Detection And Ranging: LIDAR

Data Source

PatentUS11513229B2Multi-beam processing of lidar vibration signals

Publication Date: 2022.11.29 DSCG SOLUTIONS

AI summary

Techniques of measuring vibrations from an object surface using LIDAR includes grouping beams having similar vibration velocity values over a specified time window and replace outlier vibration velocity values with a vibration velocity value based on the similar vibration velocity values over the specified time window. Advantageously, replacing outlier vibration velocity values with a value based on vibration velocity values of similar beams results in a more accurate profile of the vibration velocity field over the surface.