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Schwaneberg, Oliver: Concept, system design, evaluation and safety requirements for a multispectral sensorKonzept, Systemdesign, Evaluation und Sicherheitsanforderungen eines multispektralen Sensors. 2013
Inhalt
Zusammenfassung
Abstract
Contents
List of Figures
List of Tables
1 Introduction
2 Basics
2.1 Problem Formulation
2.2 Physical Basis
2.3 Machine Learning Methods
2.3.1 Support Vector Machine (SVM)
2.3.2 Binary Decision Trees
2.3.3 Common Evaluation Criteria for Classifiers
2.4 Methods for Distance Measurement
2.4.1 Mathematical Notation
2.4.2 Peak Estimation
2.4.3 Distance Mapping
3 Prior Work
3.1 Comparison of Technical Concepts
3.1.1 Imaging Systems for Skin Detection
3.1.2 Non-Imaging Systems for Skin Detection
3.1.3 Summary of Prior Work on Skin Detection
3.1.4 Beamforming with Light Emitting Diodes
3.2 Summary of Prior Work to the Sensor Concept
4 Preliminary Study
4.1 Metrology
4.2 Data Composition
4.3 Data Analysis
4.4 Data Mapping and Additional Experiments
4.4.1 Multi-angle Reflectance Spectroscopy
4.4.2 Spectroscopy of Subsurface and Specular Scattering Components
5 Sensor Concept
5.1 Safety Requirements and Applicable Standards
5.1.1 Differentiation of Relevant Materials
5.1.2 Varying Distances of Operation
5.1.3 Reaction Speed
5.1.4 Beam Width (Detection Area)
5.1.5 Atmospheric Humidity
5.1.6 Temperature Range
5.1.7 Shock Resistance
5.1.8 Ambient Light
5.1.9 Eye Safety
5.1.10 Self Tests
5.2 System Design Concepts
5.2.1 Optics and Optoelectronics
5.2.2 Electronics
5.3 System Specifications
5.3.1 Functional Specifications
5.3.2 Technical Specifications
5.3.3 Delimitation of this System Specification
5.4 Prototypical Implementation
5.4.1 Implemented Concept
5.4.2 Primary Microcontroller
5.4.3 Previous Prototypes
6 Acquisiton, Data Processing and Classification
6.1 Data Acquisition
6.2 Low-Level Correction
6.3 Data Processing Concept
6.3.1 Distance Estimation
6.3.2 Data Fusion
6.4 Classification of Materials
7 Concept Validation
7.1 Data Processing Methods
7.1.1 Data Basis
7.1.2 Distance Estimation
7.1.3 Data Fusion
7.1.4 Material Classification
7.1.5 Computational Performance
7.2 Typical Artifacts
7.2.1 Measuring on Edges
7.2.2 Measuring Multiple Objects Simultaneously
7.2.3 Measuring Shiny Surfaces
7.3 Environmental Influences
7.3.1 Ambient Light
7.3.2 Atmospheric Humidity
7.3.3 Ambient Temperature
7.4 Cross Relations of Interference Factors
8 Examples of Applications
8.1 Woodwork Shops
8.2 Meat Processing
8.3 Construction Sites
9 Summary and Outlook
9.1 Summary
9.2 Outlook
Bibliography
Acronyms
Glossary