| ABSTRACT | 第4页 |
| CHAPTER 1 INTRODUCTION | 第7-23页 |
| 1.1 INTELLIGENT VEHICLE CURRENT SITUATION AND DEVELOPMENT PROSPECTS | 第7-8页 |
| 1.2 INTERNATIONAL CLASSIFICATION OF INTELLIGENT VEHICLE | 第8-9页 |
| 1.3 INTERNATIONAL DRIVERLESS VEHICLE OVERVIEW | 第9-12页 |
| 1.4 INTELLIGENT VEHICLE VISUAL NAVIGATION TECHNOLOGY | 第12-16页 |
| 1.4.1 Lane Recognition Algorithm Analysis | 第12-14页 |
| 1.4.2 Front of the Moving Vehicle Detection Algorithm Analysis | 第14-15页 |
| 1.4.3 Demanded Problems and Challenges | 第15-16页 |
| 1.5 TOPIC OF THE RESEARCH AND SPECIFIC RESEARCH CONTENTS | 第16-21页 |
| 1.5.1 Road Edges Detection | 第16-17页 |
| 1.5.2 Line Recognition Algorithm Analysis | 第17-20页 |
| 1.5.3 Road Signs Recognition | 第20-21页 |
| 1.6 RESEARCH ARRANGEMENTS | 第21-23页 |
| CHAPTER 2 IMAGE PRE-PROCESSING | 第23-37页 |
| 2.1 INTRODUCTION | 第23-24页 |
| 2.2 IMAGE GRAY LEVEL | 第24-27页 |
| 2.3 IMAGE FILTERING DE-NOISING | 第27-35页 |
| 2.3.1 The Binarization | 第30页 |
| 2.3.2 The Traditional Optimal Threshold Segmentation Method | 第30-32页 |
| 2.3.3 Based on the Overall Characteristics of Otsu Method | 第32-35页 |
| 2.4 SUMMARY OF CHAPTER 2 | 第35-37页 |
| CHAPTER 3 CANNY EDGE DETECTION | 第37-45页 |
| 3.1 INTRODUCTION | 第37页 |
| 3.2 DEVELOPMENT OF CANNY ALGORITHM | 第37-38页 |
| 3.3 THE MAIN STEPS OF THE ALGORITHM | 第38-42页 |
| 3.3.1 Gaussian filter | 第39页 |
| 3.3.2 Finding the Intensity Gradient of the Image | 第39-40页 |
| 3.3.3 Non-Maximum Suppression | 第40-41页 |
| 3.3.4 Double Threshold | 第41-42页 |
| 3.3.5 Edge Tracking by Hysteresis | 第42页 |
| 3.4 RESULT OF CANNY EDGE DETECTION METHOD | 第42-44页 |
| 3.5 SUMMARY OF CHAPTER 3 | 第44-45页 |
| CHAPTER 4 ROAD LANE DETECTION BASED ON HOUGH TRANSFORM ANDCATMULL-ROM | 第45-61页 |
| 4.1 IMPLEMENTATION OF HOUGH TRANSFORM | 第45-54页 |
| 4.1.1 Hough Transformation of Straight Lines | 第45-47页 |
| 4.1.2 The General Algorithm of Hough Method | 第47-48页 |
| 4.1.3 Result of Hough Transform Method | 第48-51页 |
| 4.1.4 Lane Line Detection and ROI | 第51-54页 |
| 4.2 CURVE DETECTION BASED ON THE CATMULL-ROM SPLINES | 第54-59页 |
| 4.2.1 Implementation of Catmull-Rom Splines | 第54页 |
| 4.2.2 The Function of Curve Detection Based on the Catmull-Rom Splines | 第54-57页 |
| 4.2.3 Result of Catmull-Rom Splines Method | 第57-59页 |
| 4.3 SUMMARY OF CHAPTER 4 | 第59-61页 |
| CHAPTER 5 TRAFFIC SIGN RECOGNITION USING SURF METHOD | 第61-71页 |
| 5.1 MAIN IDEA OF SURF METHOD | 第61页 |
| 5.2 DETECTION THE POINTS OF INTEREST | 第61页 |
| 5.3 INTEREST POINT DESCRIPTION | 第61-65页 |
| 5.3.1 Scale of an Interest Point | 第62-65页 |
| 5.4 RESULT OF SIGN RECOGNITION USING SURF METHOD | 第65-69页 |
| 5.5 SUMMARY OF CHAPTER 5 | 第69-71页 |
| CHAPTER 6 SYSTEM EXPERIMENT PLATFORM | 第71-75页 |
| 6.1 INTRODUCTION | 第71页 |
| 6.2 SMART CAR EXPERIMENT PLATFORM | 第71-73页 |
| 6.3 SOFTWARE PLATFORM | 第73-74页 |
| 6.4 SUMMARY | 第74-75页 |
| CONCLUSION AND OUTLOOK | 第75-77页 |
| REFERENCES | 第77-81页 |
| PUBLISHED PAPERS DURING THE ACADEMIC OF MASTER DEGREE | 第81-83页 |
| ACKNOWLEDGEMENTS | 第83页 |
