博碩士論文 88521029 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:72 、訪客IP:3.147.61.218
姓名 柯漢良(Han-Liang Ko )  查詢紙本館藏   畢業系所 電機工程研究所
論文名稱 動態三超音波感測器融合視覺系統應用於行走機器人
(Dynamic Tri-ultrasonic Transducer Fused with Vision System for a Mobile Robot)
相關論文
★ 影像處理運用於家庭防盜保全之研究★ 適用區域範圍之指紋辨識系統設計與實現
★ 頭部姿勢辨識應用於游標與機器人之控制★ 應用快速擴展隨機樹和人工魚群演算法及危險度於路徑規劃
★ 智慧型機器人定位與控制之研究★ 基於人工蜂群演算法之物件追蹤研究
★ 即時人臉偵測、姿態辨識與追蹤系統實現於複雜環境★ 基於環型對稱賈柏濾波器及SVM之人臉識別系統
★ 改良凝聚式階層演算法及改良色彩空間影像技術於無線監控自走車之路徑追蹤★ 模糊類神經網路於六足機器人沿牆控制與步態動作及姿態平衡之應用
★ 四軸飛行器之偵測應用及其無線充電系統之探討★ 結合白區塊視網膜皮層理論與改良暗通道先驗之單張影像除霧
★ 基於深度神經網路的手勢辨識研究★ 人體姿勢矯正項鍊配載影像辨識自動校準及手機接收警告系統
★ 模糊控制與灰色預測應用於隧道型機械手臂之分析★ 模糊滑動模態控制器之設計及應用於非線性系統
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 在行走機器人的領域裡,視覺感測器扮演著重要的角色,而一個智慧型的感測器系統必須滿足兩個需求:(1)正確地分辨出反射物的形狀(如平面,牆沿及牆角) (2)精準地對反射物定位(包括距離及方位)。因此,在本篇論文中,我們提出了一個新的動態三超音波感測器融合視覺的量測系統,其主要的目的可以正確地識別反射物並對它們做正確地定位。其中,我們提出一套新的辨識規則,使量測系統能更準確地對反射物做分類。並且,以一種新的動態估測方法進行對反射物做正確地定位。
摘要(英) Visual sensors play an important role in the realm of mobile robot. An intelligent sensor system must satisfy two requirements: (1) classifying the reflectors correctly (such as planes, corners and edges) (2) localizing the reflectors accurately (including distance and orientation). In the thesis, a new measuring system called the dynamic tri-ultrasonic transducer fused with vision system will be proposed. The main functions are to discriminate the reflectors correctly and localize them accurately. Furthermore, the new classification rules will be introduced to classify the reflectors more accurately and a dynamic estimation method will proposed to localize them precisely.
關鍵字(中) ★ 分類
★  定位
★  融合
★  行走機器人
★  視覺
★  超音波感測器
關鍵字(英) ★ Classification
★  Fused
★  Localization
★  Mobile Robot
★  Ultrasonic Transducer
★  Vision
論文目次 Abstract ……………………………………………………………… Ⅰ
Table of Content …………………………………………………… Ⅱ
List of Figures …………………………………………………… Ⅴ
List of Tables ……………………………………………………… Ⅶ
Chapter 1: Introduction …………………………………………… 1
1-1 Background ……………………………………………………… 1
1-2 Motivation ……………………………………………………… 1
1-3 Organization …………………………………………………… 2
Chapter 2: Survey of Ultrasonic and Vision Measuring
Systems ………………………………………………………………… 3
2-1 Introduction …………………………………………………… 3
2-2 One Ultrasonic Measuring Systems ………………………… 3
2-3 Two Ultrasonic Measuring Systems ………………………… 5
2-4 Three Ultrasonic Measuring Systems ……………………… 8
2-5 Five Ultrasonic Measuring Systems …………………………15
2-6 Measuring Systems of Ultrasonic Transducers with CCD Cameras …………………………………………………………………17
2-7 Summaries of the Measuring Systems ……………………… 17
Chapter 3: Basic Principles of Ultrasonic Sensors and CCD
Cameras …………………………………………………………………19
3-1 Introduction …………………………………………………… 19
3-2 The Basic Principles of Ultrasonic Sensors …………… 19
3-2-1 The physical model of ultrasound ……………………… 19
3-2-2 The conventional ultrasonic ranging systems …………20
3-2-3 The model of the environment …………………………… 23
3-3 The Principles of Image Processing ……………………… 23
3-3-1 The features of the image ……………………………… 23
3-3-2 The image enhancement …………………………………… 24
3-3-3 The image segmentation …………………………………… 25
Chapter 4: Design of the Dynamic Tri-ultrasonic Transducer Fused with Vision System ………………………………………… 27
4-1 Introduction …………………………………………………… 27
4-2 The Principles of the Dynamic Tri-ultrasonic Transducer Fused with Vision System ………………………………………… 27
4-2-1 The Principle of the Shape Discriminator …………… 27
4-2-2 The Principle of the Inclination Angle Detector … 30
4-3 The Design of the Dynamic Tri-ultrasonic Transducer Fused
with Vision System …………………………………………………32
4-3-1 Classification Step …………………………………………32
4-3-2 Localization Step ……………………………………………35
4-4 The Operation Procedures of the Dynamic Tri-ultrasonic
Transducer Fused with Vision System ………………………… 37
Chapter 5: Hardware and Software Design ………………………38
5-1 Introduction …………………………………………………… 38
5-2 Ultrasonic Transducer ……………………………………… 39
5-3 Ultrasonic Ranging Module ………………………………… 40
5-4 Data Acquisition Card (PCI-1712) ………………………… 42
5-5 CCD Camera ……………………………………………………… 43
5-6 Frame Grabber ………………………………………………… 43
5-7 Stepper motor and Driver …………………………………… 43
5-8 Personal Computer …………………………………………… 44
Chapter 6: Experimental Results and Discussion …………… 45
6-1 Introduction …………………………………………………… 45
6-2 Experiments Verifications ………………………………… 45
6-2-1 Classification ………………………………………… 45
6-2-2 Localization …………………………………………… 51
6-3 Discussion ……………………………………………………… 52
Chapter 7: Conclusions and Recommendations ………………… 53
References …………………………………….…………………… 54
Appendix ……………………………………………………………… 56
參考文獻 [1] J. W. Choi, S. H. Kwon, H. Y. Lee, S. G. Lee, “Navigation Strategy of an Intelligent Mobile Robot Using Fuzzy Logic,” IEEE International Conference on Computational Intelligence, vol.1, pp. 602-605, 1998.
[2] B. N. Kim, O. S. Kwon, K. H. Kim, E. H. Lee, S. H. Hong, “A Study on Path Planning for Mobile Robot Based on Fuzzy Logic Controller,” TENCON 99. Proceedings of the IEEE Region 10 Conference, vol.2, pp. 1002-1005, 1999.
[3] K. T. Song and C. C. Chang, “Ultrasonic Sensor Data Fusion for Environment Recognition,” IEEE International Conference on Intelligent Robots and Systems, vol. 1, pp. 384-390, July 1993.
[4] F. J. Toledo, J. D. Luis, L. M. Tomas, M. A. Zamora, H. Martinez, “Map Building with Ultrasonic Sensors of Indoor Environments Using Neural Networks,” IEEE International Conference on Systems, Man, and Cybernetics, vol.2, pp. 920-925, 2000.
[5] J. Urena, M. Mazo, J. J. Garcia, A. Hernandez, and E. Bueno, “Classification of Reflectors with an Ultrasonic Sensor for Mobile Robot Applications,” Robotics and Autonomous Systems, vol.29, pp. 269-279, Dec. 1999.
[6] J. J. Lin, H. L. Ko, H. Y. Chung, “A Dynamic Tri-ultrasonic Transducer System Based on Fuzzy Control,” Proceedings of the 17th National Conference on Mechanical Engineering, vol. 2, pp. 247-253, Dec. 2000.
[7] R. Kuc, “A Spatial Sampling Criterion for Sonar Obstacle Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 686-690, July 1990.
[8] H. Peremans, “A Maximum Likelihood Algorithm for Solving the Correspondence Problem in Tri-aural Perception,” IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 485-492, 1994.
[9] L. Kleeman and R. Kuc, ”An Optimal Sonar Array for Target Localization and Classification,” IEEE International Conference on Robotics and Automation, vol.4, pp. 3130-3135, 1994.
[10] B. Barshan, and R. Kuc, “Differentiating Sonar Reflections from Corners and Planes by Employing an Intelligent Sensor,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 6, pp. 560-569, June 1990.
[11] O. Bozma and R. Kuc, “Building a Sonar Map in a Specular Environment Using a Single Mobile Sensor,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.13, no. 12, pp. 1260-1269, Dec. 1991.
[12] M. Yang, S. L. Hill, and J. O. Gray, “Localization of Plane Reflectors Using a Wide-Beamwidth Ultrasound Transducer Arrangement,” IEEE Trans. on Instrumentation and Measurement, vol. 46, no.3, pp. 711-716, June 1997.
[13] M. L. Hong and L. Kleeman, “Ultrasonic Classification and Location of 3D Room Features Using Maximum Likelihood Estimation-Part I,” Robotica, vol. 15, pp. 483-491, 1997.
[14] H. Peremans, K. Audenaert, and J. M. Van Campenhout, “A High-Resolution Sensor Based on Tri-aural Perception,” IEEE Trans. on Robotics and Automation, vol. 9, no. 1, pp. 36-48, Feb. 1993.
[15] H. Peremans and J. Van Campenhout, “Tri-aural Perception on a Mobile Robot,” IEEE International Conference on Robotica & Automation, vol.1, pp.265-270, 1993.
[16] H. J. Jeon and B. K. Kim, “A Study on World Map Building for Mobile Robots with Tri-aural Ultrasonic Sensor System,” IEEE International Conference on Robotics and Automation, vol. 3, pp. 2907-2912, 1995.
[17] Y. Han, H. Hahn, “Localization and Classification of Target Surfaces Using Two Pairs of Ultrasonic Sensors,” IEEE International Conference on Robotics & Automation, pp. 637-643, May 1999.
[18] L. Kleeman and R. Kuc, “Mobile Robot Sonar for Target Localization and Classification,” Robotica, vol. 14, no. 4, pp. 295-318, Aug. 1995.
[19] H. Akbarally and L. Kleeman, “A Sonar Sensor for Accurate 3D Target Localization and Classification,” IEEE International Conference on Robotics & Automation, pp. 3003-3008, 1995.
[20] K. T. Song and W. H. Tang, “Environment Perception for a Mobile Robot Using Double Ultrasonic Sensors and a CCD Camera,” IEEE Transactions on Industrial Electronics, vol. 43, no. 3, pp. 372-379, June 1996.
[21] T. Yata, A. Ohya, S. Yuta, “Fusion of Omni-directional Sonar and Omni-directional Vision for Environment Recognition of Mobile Robots,” IEEE International Conference on Robotics & Automation, vol. 4, pp. 3925-3930, April 2000.
[22] Rafale C. Gonzalez and Richard E. Wood, Digital Image Processing, Addison Wesley, 1992.
[23] Bastos-Filho, T. F. , Sarcinelli-Filho, M. and Freitas, R. A. C., “A multi-sensorial Integration Scheme to Help Mobile Robot Navigation through Obstacle Recognition,” IEEE International Conference on Emerging Technologies and Factory Automation, vol. 1, pp. 549-558, Oct. 1999.
指導教授 鍾鴻源(Hung-yuan Chung) 審核日期 2001-6-28
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明