Application research of laser range finders used as robot vision system レーザレンジファインダのロボットビジョンシステムとしての応用研究

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Author

    • 高, 宏 カオ, ホン

Bibliographic Information

Title

Application research of laser range finders used as robot vision system

Other Title

レーザレンジファインダのロボットビジョンシステムとしての応用研究

Author

高, 宏

Author(Another name)

カオ, ホン

University

岡山大学

Types of degree

工学博士

Grant ID

甲第1090号

Degree year

1992-09-30

Note and Description

博士論文

Table of Contents

  1. TABLE OF CONTENTS / (0003.jp2)
  2. ABSTRACT / p1 (0005.jp2)
  3. ACKNOWLEDGEMENT / p3 (0006.jp2)
  4. CHAPTER 1 SURVEY OF ROBOT VISION / p4 (0007.jp2)
  5. 1.1 Introduction / p4 (0007.jp2)
  6. 1.2 Objectives and Scope of the Thesis / p7 (0009.jp2)
  7. 1.3 Basic Techniques Pertinent to the Research / p10 (0010.jp2)
  8. REFERENCES / p26 (0018.jp2)
  9. CHAPTER 2 2D FEATURE EXTRACTION OF OBJECTS WITH LASER RANGE FINDER / p29 (0020.jp2)
  10. 2.1 Introduction / p29 (0020.jp2)
  11. 2.2 Feature Extraction of a Cylinder / p30 (0021.jp2)
  12. 2.3 Feature Extraction of Cubic Objects / p39 (0025.jp2)
  13. 2.4 Experiments / p44 (0028.jp2)
  14. 2.5 Discussion and Conclutsion / p51 (0031.jp2)
  15. REFERENCES / p52 (0032.jp2)
  16. CHAPTER 3 3D OBJECT RECOGNITION WITH RANGE IMAGE BASED ON FUZZY THEORY / p54 (0033.jp2)
  17. 3.1 Introduction / p54 (0033.jp2)
  18. 3.2 Towards Laser Range Finder Scanning In 3D Space / p55 (0034.jp2)
  19. 3.3 Classification Algorithm Based on Fuzzy Reasoning / p67 (0040.jp2)
  20. 3.4 Experiments of Object Classification / p76 (0044.jp2)
  21. 3.5 Conclusion / p82 (0047.jp2)
  22. APPENDIX 3-1 / p83 (0048.jp2)
  23. REFERENCES / p85 (0049.jp2)
  24. CHAPTER 4 AN APPLICATION OF VISUAL FEEDBACK PRINCIPLE TO FEATURE EXTRACTION OF OBJECT WITH LASER RANGE FINDER / p87 (0050.jp2)
  25. 4.1 Introduction / p87 (0050.jp2)
  26. 4.2 Determination of Possible Spatial Region / p90 (0052.jp2)
  27. 4.3 Obtaining 3DRD of Specified Area Based on Visual Feedback Principle / p92 (0053.jp2)
  28. 4.4 Cylinder Feature Extraction / p99 (0056.jp2)
  29. 4.5 Application of Visual Feedback Principle to Line Measurement / p103 (0058.jp2)
  30. 4.6 Experiments / p105 (0059.jp2)
  31. 4.7 Discussion and Conclusion / p108 (0061.jp2)
  32. APPENDIX 4-1 / p112 (0063.jp2)
  33. REFERENCES / p113 (0063.jp2)
  34. CHAPTER 5 CLASSIFICATION OF OBJECT WITH FUZZY REASONING AND MAXIMUM-LIKELIHOOD / p115 (0064.jp2)
  35. 5.1 Introduction / p115 (0064.jp2)
  36. 5.2 Acquirement of Contour and Local Range Data / p117 (0065.jp2)
  37. 5.3 Object Classification / p119 (0066.jp2)
  38. 5.4 Experiments and Discussion / p129 (0071.jp2)
  39. 5.5 Conclusion / p134 (0074.jp2)
  40. REFERENCES / p135 (0074.jp2)
  41. CHAPTER 6 TRACKING AND MEASURING A MOVING OBJECT BASED ON MULTI-SENSORY INFORMATION WITH EYE-IN-HAND ROBOT SYSTEM / p137 (0075.jp2)
  42. 6.1 Introduction / p137 (0075.jp2)
  43. 6.2 Description of the System / p139 (0076.jp2)
  44. 6.3 Feature Exraction Using Multi-Sensory Information / p145 (0079.jp2)
  45. 6.4 Image-Based Tracking Control Algorithm / p148 (0081.jp2)
  46. 6.5 Measurement of the Moving Object / p153 (0083.jp2)
  47. 6.6 Experiment Results and Discussion / p155 (0084.jp2)
  48. 6.7 Conclusion / p163 (0088.jp2)
  49. APPENDIX 6-1 / p164 (0089.jp2)
  50. APPENDIX 6-2 / p166 (0090.jp2)
  51. REFERENCES / p167 (0090.jp2)
  52. CHAPTER 7 CONCLUSION / p169 (0091.jp2)
9access

Codes

  • NII Article ID (NAID)
    500000090753
  • NII Author ID (NRID)
    • 8000000090974
  • DOI(NDL)
  • Text Lang
    • jpn
  • NDLBibID
    • 000000255067
  • Source
    • Institutional Repository
    • NDL ONLINE
    • NDL Digital Collections

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