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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 應用力學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40290
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor王立昇
dc.contributor.authorChao-Shin Linen
dc.contributor.author林兆欣zh_TW
dc.date.accessioned2021-06-14T16:44:09Z-
dc.date.available2008-08-08
dc.date.copyright2008-08-08
dc.date.issued2008
dc.date.submitted2008-08-01
dc.identifier.citation參考文獻
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[2] D.M. Bourg and G. Seemann, “AI for Game Developers〃, O’REILLY, 2005.
[3] Ando Y. and Yuta S., “Following a Wall by an Autonomous Mobile Robot with a Sonar-Ring〃 , IEEE International Conference on Robotics and Automation, Tsukuba, Ibaraki 305 JAPAN,Vol.4, pp. 2599~2606 , 1995.
[4] Han Y. and Hahn H., “Localization and Classification of Target Surfaces Using Two Pairs of Ultrasonic Sensors 〃 , Elsevier Science on Robotics and
Autonomous Systems, Vol.1, pp.31~41,2000.
[5] Chee B. Y., Lang Y. T., and Tse W. T.,“Fuzzy Mobile Robot Navigation and
Sensor Integration〃,IEEE InternationalConference on Fuzzy Systems, Kowloon, Hong Kong, vol. 1, pp.7-12 , 1996.
[6] Silva D., Gomide N. I., and Amaral D.,“Navigation of Mobile Robots using
Fuzzy Logic Controllers〃, IEEE International Workshop on Advanced
Motion Control, Rolla, USA, pp. 346-349, July 1998.
[7] Ng K. C. and Trivedi M. M., “A Neuro -Fuzzy Controller for Mobile Robot
Navigation and Multirobot Convoying〃 ,IEEE Transactions on Systems, Man,
and Cybernetics, Part B, vol. 28, no. 6,pp. 829-840, Dec. 1998.
[8] Xu W. L. and Tso S. K., “Sensor -Based Fuzzy Reactive Navigation of a
Mobile Robot through Local Target Switching〃 , IEEE Transactions on
Systems, Man, and Cybernetics, Part C,vol. 29, no. 3, pp. 451-459, 1999.
[9] Lee T. L. and Wu C. J. “Fuzzy Motion Planning of Mobile Robots in
Unknown Environments〃 , Journal of Intelligent and Robotic Systems, vol.
37, pp. 177-191, 2003.
[10] Hwang Y. K. and Ahuja N., “A Potential Field Approach to Path Planning〃 ,
IEEE Transactions on Robotics and Automation, vol. 8, no. 1, pp. 23-32,
Feb. 1992.
[11] Ge S. S. and Cui Y. J., “New Potential Functions for Mobile Robot Path
Planning 〃 , IEEE Transactions on Robotics and Automation, vol. 16, no.
5, pp. 615-620, Oct. 2000.
[12] Ge S. S. and Cui Y. J., “New PotentialFunctions for Mobile Robot Path
Planning 〃 , IEEE Transactions onRobotics and Automation, vol. 16, no.
5, pp. 615-620, Oct. 2000.
[13] L. Xu, and E. Oja, “Randomized Hough Transform (RHT): Basic
Mechanism, Algorithms, and Computational Complexities〃, CVGIP:
Image Understanding, Vol. 57, No.2, pp.131-154, 1993.
[14] L. Yenilmez and H. Temeltas, “Real Time Multi-Sensor Fusion and Navigation for Mobile Robots〃, IEEE Electrotechnical Conference, Vol. 1, pp.221-225, 1998.
[15] M. Bertozzi, and A. Broggi, “GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection〃, IEEE Transaction on Image Processing, Vol. 7, NO. 1, pp.62-81, 1998.
[16] Hwang Y. K. and Ahuja N., “A Potential Field Approach to Path Planning〃 ,
IEEE Transactions on Robotics and Automation, vol. 8, no. 1, pp. 23-32,Feb. 1992.
[17] R.C. Gonzalea, and R.E. Woods, Digital Image Processing, Prentice Hall, 2002.
[18] S. Alcalde, I.J. Keviejo, J.E. Karanjo, R. García, T. Pedro, and C. González, “Vehicle Fuzzy Driving Based On DGPS and Vision〃, Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, Vol. 3, pp.1472-1477, 2001.
[19] S. Kotani, E. Kanelio, T. Sliinoda, and H. Mori, “Mobile Robot Navigation Based on Vision and DGPS Information〃, IEEE International Conference on Robotics and Automation, Madt id. Fsparia,Vol. 3, pp.2524-2529, 1998.
[20] Harris Sunyoto, Dariu M. G avrila, and Wannes, “A Comparative Study of Fast Dense Stereo Vision Algorithms〃,Japan , IEEE Intelligent Vehicles Symposium,pp 319-324 2004
[21] 蘇信豪, “無人載具避障之導航與控制”, 台灣大學應用力學研究所碩士論文, 中華民國九十六年七月.
[22] 吳宣誼, “雙無人載具協同控制與實驗”, 台灣大學應用力學研究所碩士論文, 中華民國九十四年七月.
[23] 陳巧茵, “小型自走車以超音波避障之研究”, 成功大學工程科學研究所碩士論文, 中華民國九十一年六月.
[24] 李家昇, “模糊理論在機器人即時避障的應用”, 台灣大學機械工程學研究所碩士論文, 中華民國八十三年六月.
[25]鄭僑霆,”三輪無人載具之建模與階層式控制” ,國立台灣大學應用力學研究所碩士論文,中華民國九十六年七月
[26]潘亞東和徐進浩,” 以空間向量為基礎之自動導航車路徑規劃”, 龍華科技大學工程技術研究所碩士論文,中華民國九十四年十二月
[27]陳慶逸, 林柏辰, “VHDL數位電路實習與專題設計”, 文魁資訊, 2005.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40290-
dc.description.abstract本論文的主旨為發展一戶外自動導航車系統,系統包含主控站、參考站和無人載具三個部份。無人載具整合了GPS接收機、電子羅盤、雙眼相機和四個超音波感測器等感測元件,導航車在行進過程中偵測到障礙物進入其安全範圍內時,可藉由感測器偵測並配合路徑規劃來進行避障,並往終點前進。載具之位置資訊利用全球定位系統(GPS)來取得,方位角則用電子羅盤輸出獲得,經由無線網路構成的各次系統資訊交換機制,使主控站得以監控載具行為。
在避障控制方面,我們利用超音波感測器和雙眼相機來偵測障礙物距離。雙眼相機係利用映射在相機的兩個影像平面上映射點的距離差,來計算出障礙物與相機之間的距離。在超音波感測器方面,利用VHDL語言配合FPGA開發板設計一控制四顆超音波感測器輸出入電路,再透過超音波感測器得到的距離資訊,判斷是否有障礙物在安全範圍內並配合路徑規劃理論使無人載具行向終點。在定位方面,為了提高定位的準確度,使用載波相位三次差分法(KGPS)進行定位。
本篇論文最後以具體實驗驗證所發展之系統確實可行。
zh_TW
dc.description.abstractThe main theme of this thesis is to develop an integrated navigation and control system for an unmanned vehicle. This system consists of three parts which are main- station, reference-station, and unmanned vehicle. There are various sensors on the vehicle such as a Global Position System(GPS), an electronic compass, a camera and four ultrasonic sensors. The vehicle uses the stereo-vision camera and ultrasonic sensors to detect the distance between the vehicle and the obstacle, electronic compass to measure the vehicle’s posture and GPS information to determine the vehicle’s position. The data exchange mechanism between sub-systems is set up through a wireless network.
The task of obstacle avoidance and path-planning is using ultrasonic sensors and stereo-vision camera to detect the distance between obstacle and vehicle .Use these information from GPS, electronic compass and distance-detect sensors with vector field method to create the path,avoid the obstacle and go to the target . The operation of four ultrasonic sensors is designed by VHDL language and implemented by FPGA. The KGPS is used to set the vehicle’s position. Experimental results show the effectiveness of our proposed navigation and control methodology.
en
dc.description.provenanceMade available in DSpace on 2021-06-14T16:44:09Z (GMT). No. of bitstreams: 1
ntu-97-R95543024-1.pdf: 3834095 bytes, checksum: 4bef7ec012303b6d669bd83a5218cfb5 (MD5)
Previous issue date: 2008
en
dc.description.tableofcontents誌謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章 緒論 1
1.1內容簡介與文獻回顧 1
1.2論文架構 3
第二章 無人載具系統架構 4
2.1 載具硬體架構 5
2.2 載具軟體架構 10
第三章 感測器與導航系統 12
3.1.雙眼視覺系統 12
3.1.1雙眼相機基本參數 12
3.1.2距離偵測原理 13
3.1.3特徵點追蹤與設定 13
3.1.4影像金字塔 14
3.2 超音波測距系統 18
3.2.1 超音波感測器的操作原理 18
3.2.2 超音波感測器測距原理 19
3.2.3超音波感測器的輸入與輸出控制 20
3.3 GPS定位系統 21
3.3.1 載波相位三次差分定位 22
第四章 避障路徑設計原理 25
4.1 空間向量法 25
4.2 空間向量法-導引力的設定與合成 25
4.3 自動導航車避障路徑設計流程 28
第五章 控制器設計與實驗 30
5.1 無人載具運動方程 30
5.2 避障控制理論介紹 32
5.2 導航控制系統整合 28
5.3 實驗結果與討論 34
第六章 結論與未來工作 38
參考文獻 39
dc.language.isozh-TW
dc.title無人載具之避障與路徑規劃zh_TW
dc.titleObstacle avoidance and path planning of an unmanned vehicleen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.coadvisor張帆人
dc.contributor.oralexamcommittee林君明,王伯群,鄒鴻生
dc.subject.keyword避障,無人載具,路徑規劃,zh_TW
dc.subject.keywordobstacle avoidance,unmanned vehicle,path planning,en
dc.relation.page41
dc.rights.note有償授權
dc.date.accepted2008-08-01
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept應用力學研究所zh_TW
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