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Lindner, Frank: Adaptive traffic sign recognition. 2012
Inhalt
Introduction and State of the Art
Introduction
Characterization of Speed Limit Signs in Europe
State of the Art
Traffic Sign Recognition Research Groups
Scope of the Thesis
Thesis Overview
Runtime System Design - and Implementation
General Requirements
System Overview
Camera Requirements
Traffic Sign Detector
Traffic Sign Tracker
Classifier
Supplementary Sign Detection and Recognition
Extension Modules for Improving Traffic Scene Interpretation
General Classifier Adaptation Approach
Classifier setup
Obtaining Sample Sets
Training of the Classifier for a New Country
Training of Classifiers for Country Sets
Offline System and Classifier Training
Classifier Design
Classifier Internationalization
Design and Implementation of a System for the Automation of Sample Collection
Combination of Classifiers of Different Countries
Design of the Evaluation System
Evaluation of the Camera Control
Creation of the Training and Testing Set
Evaluating the Detector
Tracker
Single Sign Classification
Track Classification
Traffic Scene Interpretation
Experimental Investigations and Evaluation
Examining Camera Exposure Time
Training and Testing Sets
Traffic Sign Detector
Tracker
Over all Performance of the Detector and Tracker
Classifier
Classifier Internationalization
Supplementary Sign Detection and Recognition
Separation of Active and Exit Signs
Over all Results of the Traffic Sign Recognition System
Summary and Outlook
Future Work and Outlook
Appendix
Definitions and Acronyms
AdaBoost
Chamfer Matching
Camera Model
List of References For Colour as Primary Detector
Bayer-Pattern
Camera and Sensor Specifics
Composition of the Classifier Training Set
Composition of the System Evaluation Set
Implementation on Mobile Devices
Generalization of the Coarse Detector
Derivation of Equations in the Three-Dimensional Measurement
Types of Supplementary Signs
Active Versus Blue Exit Signs Utilizing Colour Information
Screen shot of the Evaluation Tool
Bibliography