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| 研究生： |
高顗泓 Kao, Yi-Hung |
|---|---|
| 論文名稱： |
使用直線霍夫轉換與B雲規曲線方法之車道偏移警示系統 Lane Departure Warning using Line Hough Transform and B-spline Curve |
| 指導教授： |
連震杰
Lien, Jenn-Jier |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電機資訊學院 - 資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年： | 2014 |
| 畢業學年度： | 102 |
| 語文別： | 英文 |
| 論文頁數： | 49 |
| 中文關鍵詞： | 車道偵測 、車道追蹤 、霍夫轉換 、隨機抽樣一致 、消失點 、最大類間方差法(大津演算法) 、Canny邊緣偵測 、K-means 、自適應閥值 |
| 外文關鍵詞： | Lane detection, Lane tracking, Hough transform, Random Sample Consensus (RANSAC), vanishing point, Otsu, Canny edge detection, K-means, adaptive thresholding. |
| 相關次數： | 點閱：170 下載：0 |
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車道偏移警示是智慧型車載的重剁應用之一，本篇論文提出一個用於車道偵測與車道追蹤的方法。首先，車道邊界由直線霍夫轉換偵測而得，而直線霍夫轉換的前一步，我們使用的最大類間方差法的自適應閥值的Canny邊緣偵測，為了過濾掉被直線霍夫轉換偵測出但為非理想的雜訊線段，我們使用了線段角度及消失點這兩個方法來將這類線段予以濾除。在車道偵測成功偵測出車道標線後，我們使用了低運算複雜度與執行時間的車道追蹤，進而使我們的車道偏移警示系統達到即時。而在偵測與追蹤之間，我們也提出了兩個判斷的機制，一個用做判斷系統該進行偵測或是追蹤，另一用做判斷是否發生車道偏移，最後我們收集了一些影片，並且依照影片內的情況分成兩個資料庫，之後使用這些影片進行本系統的測試。
Lane departure warning is one of important parts in intelligent vehicle systems. This paper purpose a technique for lane markings detection and tracking. At first, lane boundaries are detected by line Hough transform. In edge detection, previous step of line Hough transform, we use Otsu’s method as an adaptive-thresholding method for Canny edge detection. To filter undesired detected line, so called noises, by line Hough transform, we employ two approaches, angle of lines and vanishing points, to come to the purpose. After lane markings are detected, we use lane tracking which is lower computation complexity and execution time to make our lane departure warning system real-time. Between detection and tracking, two judgment mechanisms are purposed. One is used to judge that it is going to detection or tracking, the other is used to judge whether lane departure. We collected several video and separate into two databases by cases to do experimenting.
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校內：2024-12-31公開校外：不公開