簡易檢索 / 詳目顯示

研究生: 陳勇全
論文名稱: 以影像為基礎之先進智慧概念車輛車道保持控制系統
Vision-based Lane-Keeping control system for the Advanced Intelligent concept Vehicle
指導教授: 陳榮順
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 動力機械工程學系
Department of Power Mechanical Engineering
論文出版年: 2007
畢業學年度: 95
語文別: 中文
中文關鍵詞: 車道保持視覺處理智慧車輛
相關次數: 點閱:2下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 在很多交通事故裡,車輛偏離應有的行徑路線佔有了很大的比例,因此解決不良的偏離車道行為就能避免掉大部分的交通意外,現今的研究則極力朝向車輛主動安全系統,其中車輛自動側向控制是相當重要的部份,而以影像為基礎的車輛輔助系統更是近幾年來發展的重點。
      本論文為設計以影像為基礎之車道保持輔助系統,以CCD鏡頭為感應器擷取影像,擷取後的影像經過FIR濾波器後以取得道路特徵,其中以道路線為車道特徵,接著利用霍夫轉換和道路模型找到車道中心線離車輛控制點的偏離距離,然後設計相位領先落後補償器並且配合左右轉角角度回授得到方向盤輸出轉角,確保車輛保持在車道中心線行進,本研究將以清大動機係自行設計的先進智慧概念車來實現。


    摘要 I 誌謝 II 目錄 III 圖表目錄 V 第一章 緒論 1 1.1研究動機與目的 1 1.2文獻回顧 3 1.3本文大綱 6 第二章 整體系統架構與模型分析 7 2.1系統架構介紹 7 2.2動態模型分析 8 2.2.1車輛動態模型 8 2.2.2 控制點運動學模型 11 2.2.3 車輛參數分析 12 第三章 視覺影像處理系統 17 3.1視覺影像處理架構 17 3.2道路特徵擷取 18 3.3特徵後處理 19 3.4道路模型與偏移距離 21 第四章 控制器設計 25 4.1相位補償控制器 25 4.2左右轉角角度回授補償 29 第五章 模擬分析與結果 32 5.1車道保持控制模擬平台 32 5.2車道保持控制模擬結果 34 第六章 車道保持實驗與結果 42 6.1實驗準備與架構 42 6.2實驗結果 44 第七章 結論與未來工作 56 7.1 結論 56 7.2 未來工作 56 參考文獻 58

    [1] K. Hwang, “Driving Behavior and Traffic Order,” Proceedings of Academic and Educational Conference on Automotive Safe Driving, pp. 53-66, 1992.
    [2] A. Takagi, S. Muto, and T. Akiyama, “Economic evaluation of advanced cruise-assist highway systems focusing on psychological effects,” Selected Proceedings of the 10th World Conference on Transport Research, pp. 1443-1454, 2005.
    [3] H. S. Tan, J. Guldner, C. Chen, S. Patwardhan, and B. Bougler, “Lane changing with look-down reference systems on automated highways,” Control Engineering Practice, vol.8, pp.1033-1043, 2000.
    [4] T. Hessburg and M. Tomizuka, “Fuzzy logic control for lateral vehicle guidance,” Proceedings of the IEEE Conference on Control Applications pp. 55-63, 1993.
    [5] S. Choi, “Desing of a look-down feedback adaptive controller for the lateral control of front-wheel-steering autonomous highway vehicles,” IEEE Transactions on vehicular technology , vol. 49 pp. 2257-2269, 2000.
    [6] J. Huang and M. Tomizuka “LTV controller design for vehicle lateral control under fault in rear sensors,” IEEE/ASME Transactions on Mechatronics, vol. 10, pp. 1-7, 2005.
    [7] J. C. McCall and M. M. Trivedi, “Video-based lane estimation and tracking for driver assistances: Survey, system, and evaluation,” IEEE Transaction on Intelligent Transportation Systems, vol. 7, pp. 20-37, 2006.
    [8] M. Bertozzi, A. Broggi and A. Faxcioli, “Vision-based intelligent vehicle: State of the art and perspectives,” Robotics and Autonomous Systems, vol. 32, pp. 1-16, 2000.
    [9] D. Pomerleau and T. Jochem, “Rapidly adapting machine vision for automated vehicle steering,” IEEE Expert, vol. 11, pp. 19-27, 1996.
    [10] M. Bertoozi and A. Broggi, “GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection,” IEEE Transactions on Image-Processing, vol. 7, pp. 62-80, 1998.
    [11] C. Kreucher and S. Lakshmanan, “LANA: A lane extraction algorithm that uses frequency domain features,” IEEE Transactions on Robotics and Automation, vol. 15, pp. 343-350, 1999.
    [12] J. W. Lee and U. K. Yi, “A lane-departure identification based on LBPE, Hough transform, and linear regression,” Computer Vision and Image Understanding, vol. 99, pp. 359-383, 2005.
    [13] F. Heimes and H. H. Nagel, “Towards active machine-vision-based driver assistance for urban areas,” International Journal of Computer Vision, vol. 50, pp. 5-34, 2002.
    [14] J. Kosecka, R. Blasi, C.J. Taylor and J. Malik, “Comparative study of vision-based lateral control strategies for autonomous highway driving,” Proceedings-IEEE International Conference on Robotics and Automation, vol. 3, pp. 1903-1908, 1998.
    [15] G. Zhenhai and Z. Bo, “Vehicle lane keeping of adaptive PID control with BP neural network self-tuning,” IEEE Intelligent Vehicles Symposium, Proceedings, pp. 84-87, 2005.
    [16] S. Chaib, S. M. Netto and S. Mannar, “Hinfinity, adaptive, PID and fuzzy control: A comparison of controllers for vehicle lane keeping,” IEEE Intelligent Vehicle Symposium, Proceedings, IEEE intelligent Vehicles Symposium, pp. 139-144, 2004.
    [17] J. S. Wu, H. H. Chiang, J. W. Perng, T. T. Lee and C. J. Chen, “The automated lane-keeping design for an intelligent vehicle,” IEEE Intelligent Vehicles Symposium, Proceedings, pp. 508-513, 2005.
    [18] A.G. Ulsoy and H. Peng, “Vehicle Control Systems” The University of Michigan, ITS, 1997.
    [19] H. Peng, “Vehicle Lateral Control for Highway Automation,” PhD thesis, Department of Mechanical Engineering, U.C. Berkeley, 1992.
    [20] Y. Wang, E. K. Teoh and D. Shen, “Lane detection and tracking using B-Snake,” Image and Vision Computing, vol. 22, pp. 269-280, 2004.
    [21] J. Ackermann, J. Guldner, W. Sienel, R. Steinhauser and V. I. Utkin, “Linear and Nonlinear Controller Design for Robust Automatic Steering,” IEEE Transactions on Control Systems Technology. vol. 3, pp. 132-143, 1995.

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)

    QR CODE