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研究生: 冷玉琦
Leng, Yu-Chi
論文名稱: 機械視覺於道路駕駛偏航檢知系統之研究
Machine Vision to Lane Departure Detection Systems
指導教授: 陳介力
Chen, Chieh-Li
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 61
中文關鍵詞: 影像處理道路偵測車道偏航輔助駕駛
外文關鍵詞: Driver assistance, Lane detection, Image process, Lane departure
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  • 本文提出一個以影像處理為基礎、且不需使用攝影機內外部參數之車道偏航檢知系統。本系統主要針對環境較高速公路為複雜之市區道路設計,輔助駕駛於車輛行進時進行車道偵測及偏航警示。市區道路因其交通狀況複雜,故路面常有警示標字、警示線等顏色及型態近似車道標線之干擾,易造成影像偵測上之錯誤。針對此部份,本文提出藉由市區道路之車道具備其特定寬度,且車道標線具有連續性之特性,降低警示標字及警示線之干擾,正確偵測車道標線之位置,並進一步進行車道偏航警示。本文所提方法由實驗結果顯示,可有效於環境複雜之市區道路使用,並得到良好且強健之偵測及警示結果。

    A lane-departure detection system without intrinsic and extrinsic camera parameters calibration is proposed in this paper. This system, which provides driving safety by lane detection and lane departure warning, is focused on urban road with complicated lane marks instead of simpler highway cases. Due to the complexity of urban traffic, false lane detection is mainly caused by warning lines and signs which shape and color are similar to lane boundaries. In this dissertation, two lane features, i.e. specific width and lane mark continuity, are proposed to reduce image information disturbances and to obtain reliable detected results. Lane departure warning decisions are then applied to provide driving safety. Experimental results of urban road sceneries have demonstrate effectiveness of the proposed method.

    摘要 I Abstract II 誌謝 III 目錄 IV 表目錄 VI 圖目錄 VII 符號表 X 第一章 緒論 1 1.1 前言 1 1.2 文獻回顧 3 1.3 數位影像處理 7 1.3.1 色彩模型 9 1.3.1.1 RGB色彩模型 9 1.3.1.2 HSI色彩模型 10 1.3.1.3 RGB轉換HSI色彩模型 11 1.4 本文架構 12 第二章 道路標線偵測 13 2.1 邊緣偵測 14 2.2 斑馬線排除 16 2.3 標線偵測 17 2.4 雜訊排除 20 2.4.1 邊緣細化 20 2.4.2 連結度過低刪除 23 第三章 標線選取及配對 26 3.1 Hough線偵測 27 3.2 標線連續性加成 30 3.3 標線配對 34 3.3.1 車道標線配對 36 3.4 車道偏航警示系統 38 第四章 實驗結果 41 4.1 實驗架構 41 4.2 實驗結果 43 第五章 結論與未來展望 55 5.1 結論 55 5.2 未來展望 56 參考文獻 57 自述 61

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