Schwaneberg, Oliver: Concept, system design, evaluation and safety requirements for a multispectral sensor. 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
- 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
- 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
- 5.3 System Specifications
- 5.3.1 Functional Specifications
- 5.3.2 Technical Specifications
- 5.3.3 Delimitation of this System Specification
- 5.4 Prototypical Implementation
- 6 Acquisiton, Data Processing and Classification
- 6.1 Data Acquisition
- 6.2 Low-Level Correction
- 6.3 Data Processing Concept
- 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
- 7.4 Cross Relations of Interference Factors
- 8 Examples of Applications
- 9 Summary and Outlook
- Bibliography
- Acronyms
- Glossary