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研究生:朱浩
研究生(外文):Hao Chu
論文名稱:利用機器視覺完成車道標線偵測與偏移警示系統之研究
論文名稱(外文):The Study of Lane Detection and Departure Warning System Based on Machine Vision
指導教授:許佳興許佳興引用關係
指導教授(外文):Jia-Shing Sheu
口試委員:李俊賢張志翰
口試委員(外文):Jin-Shyan LeeChih-Han Chang
口試日期:2012-07-11
學位類別:碩士
校院名稱:國立臺北教育大學
系所名稱:資訊科學系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:69
中文關鍵詞:車輛偏移警示系統影像處理道路偵測霍氏轉換
外文關鍵詞:Lane departure warning system (LDWS)Image processingRoad detectionHough transform
相關次數:
  • 被引用被引用:5
  • 點閱點閱:355
  • 評分評分:
  • 下載下載:54
  • 收藏至我的研究室書目清單書目收藏:0
本研究之目的為提出一個車輛偏移警示系統,本系統以機器視覺為基礎,且不須預先設定攝影機參數之道路標線識別系統,藉由裝設於載具內之數位攝影機輸入影像,透過影像處理系統分析及處理,透過亮度調整、二值化、遮罩過濾、膨脹侵蝕等雜訊處理過程與影像處理技術將道路標線與背景分離。再使用以邊緣偵測以及霍氏轉換為主體的直線偵測演算法構成之標線識別系統將分離出的道路標線偵測出來,並進一步作為車輛偏移警示之用。
Purpose of this paper raise a vehicle lane departure warning system based on the machine vision. It does not need to use the parameters of the camera which do the road marking recognition system installed in the interior of the camera by algorithms. Regarding the time line of the intelligent transport system, it is to solve the various problems possibly arising from driving on the road. This system is mainly for the warning of the unexpected departure of vehicle. The method is to use the digital camera to capture continuous images and identify the vehicle moving direction by the detection of the left and right markings, as well as forecast the driving direction of the vehicle for the reference of vehicle departure warning. In this paper, the used image processing algorithms include brightness adjustment, binarization, dilation, and erosion. Then used edge detection and Hough transform techniques to achieve road detection.
目錄
摘要 i
ABSTRACT ii
目錄 iii
圖目錄 vi
表目錄 viii
第1章 緒論 1
1.1 前言 1
1.2 研究動機與目的 1
1.3 論文架構 3
第2章 文獻回顧與相關技術 4
2.1 文獻回顧 4
2.1.1 感測元件文獻回顧 4
2.1.2 標線偵測演算法文獻回顧 5
2.2 色彩空間 9
2.2.1 RGB色彩空間 9
2.2.2 HSV色彩空間 11
2.2.3 RGB轉HSV色彩空間 12
2.3 邊緣偵測 13
2.3.1 模糊邊緣偵測 13
2.3.2 Sobel 邊緣偵測 16
2.1 直線偵測 18
第3章 道路標線識別 21
3.1 系統流程 21
3.1 影像處理 23
3.1.1 HSV色彩過濾 23
3.1.2 灰階對比調整 24
3.1.3 二值化 26
3.1.4 雜訊排除 28
3.1.5 遮罩式雜訊過濾 30
3.2 邊緣偵測 32
3.3 標線識別 33
3.4 車道偏移警示系統 34
第4章 實驗結果 37
4.1 實驗環境 37
4.2 實驗流程 39
4.3 影像處理實驗結果 40
4.3.1 灰階化及HSV色彩過濾結果 40
4.3.2 對比調整結果 41
4.3.3 二值化結果 45
4.3.4 膨脹與侵蝕結果 45
4.3.5 遮罩式雜訊過濾結果 46
4.3.6 邊緣偵測結果 48
4.4 標線偵測與警示結果 49
4.4.1 標線偵測結果 52
4.4.2 偏移警示結果 64
第5章 結論與未來展望 66
5.1 結論 66
5.2 未來展望 66
參考文獻 68
[1]陳柏全、柯亮宇,「智慧安全車輛與車載無線通訊國際發展趨勢簡介」,車輛工業月刊,第175期,pp. 33-49,Nov. 2008。
[2]X. An, M. Wu, and H. He, "A novel approach to provide lane departure warning using only one forward-looking camera," CTS, pp. 356-362, 2006.
[3]Technical Committee ISO/TC 204, ISO 17361: Intelligent transport systems - Lane departure warning systems – Performance requirements and test procedures, ISO copyright office, Switzerland, 2007.
[4]A. Houser, J. Pierowicz, and D. Fuglewicz, "Concept of operations and voluntary operational requirements for lane departure warning systems (LDWS) on-board commercial motor vehicles," FMCSA-MCRR-05-005, 2008.
[5]T.M. Jochem, D.A. Pomerleau, and C.E. Thorpe, "MANIAC: A next generation neurally based autonomous road follower," in Proc. Int. Conf. Intelligent Autonomous Systems, IAS-3, Feb 1993.
[6]E. D. Dickmanns and B. D. Mysliwetz, "Recursive 3-d road and relative ego-state recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, pp. 199-213, Feb. 1992.
[7]Q.-T. Luong, J. Weber, D. Koller, and J. Malik, "An integrated stereo-based approach to automatic vehicle guidance," in Proc. Fifth ICCV, pp. 12-20, 1995.
[8]D. Pomerleau, "RALPH: Rapidly adapting lateral position handler," in Proc. IEEE Intelligent Vehicles '95, pp. 506-511, 1995.
[9]D. Pomerlau and T. Jochem, "Rapidly adapting machine vision for automated vehicle steering," IEEE Expert, vol. 11, no. 2, pp. 19-27, Apr 1996.
[10]M. Bertozzi and A. Broggi, "GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection," IEEE Trans. on Image Processing, vol. 7, no. 1, pp. 62-81, Jan. 1998.
[11]K. Kluge and S. Lakshmanan, "A deformable-template approach to lane detection," in Proc. Intelligent Vehicles '95, pp. 54-59, 1995.
[12]J.P. Gonzalez and U. Ozguner, "Lane detection using histogram-based segmentation and decision trees," in Proc. IEEE ITS, pp. 346-351, 2000.
[13]J. B. McDonald, J. Franz, and R. Shorten, "Application of the Hough transform to lane detection in motorway driving scenarios," in Proc. Irish Signals and Systems Conference, pp. 340–345, July 2001.
[14]Y. He, H. Wang, and B. Zhang, "Color-based road detection in urban traffic scenes," IEEE Trans. ITS, vol. 5, no. 4, pp. 309 – 318, 2004.
[15]H. Cheng, B. Jeng, P. Tseng, and K. Fan, "Lane detection with moving vehicles in the traffic scenes," IEEE Trans. ITS, vol. 7, no. 4, pp. 571-582, 2006
[16]Commons Wikimedia, The RGB color model mapped to a cub. [Picture]. Available: http://commons.wikimedia.org/wiki/User:SharkD. [Accessed June 4, 2012].
[17]Commons Wikimedia, The HSV color model mapped to a cone. [Picture]. Available: http://commons.wikimedia.org/wiki/User:SharkD. [Accessed June 4, 2012].
[18]R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed. New York: Addison-Wesley, 2008.
[19]P. V. C. Hough, "Method and means for recognizing complex patterns," US Patent 3,069,654, Dec 1962.
[20]N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. System, Man, and Cybernetics, vol. 9, no. 1, pp. 62-66, Jun. 1979.
[21]R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in pictures," Commun. ACM, vol. 15, no. 1, pp.11-15, 1972.
[22]C. Wu, C. Lin, and C. Lee, "Applying a functional neurofuzzy network to real-time lane detection and front-vehicle distance measurement," IEEE SMC, vol. 42, no. 4, pp. 577-589, 2012.
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