An Effective Lane Detection Based on Elliptical Roi and Limited Parameters in Hough Space

一個以橢圓形感興趣區域與在霍夫空間限制參數之有效的車道線偵測演算法

蘇崇彥(Chung-Yen Su) ； 范修源(Hsiu-Yuan Fan)

《興大工程學刊》 23卷1期 (2012/03) Pp. 1-12

https://doi.org/10.6287/JENCHU.2012.2301.01

摘要

車道線偵測是以視覺為基礎之自動車輛安全應用中的一種做法。為了減少在車道線偵測時的計算量，常用的一種方式是定義出一個感興趣的區域（ROI）。然而，傳統矩形式ROI使用在霍夫轉換的參數空間上時容易產生偵測線的躁動。為了解決這個問題，我們提出了一個橢圓形的ROI。所提出來的ROI不僅可以提高車道偵測的精確度，還可以減少車道偵測的計算複雜度。此外，我們還提出一個新的輔助車道偵測系統，它能有效地用來處理單邊車道線突然消失的問題。實驗結果顯示我們的演算法可以產生更正確和令人滿意的車道線偵測結果。

關鍵字

感興趣的區域 ； 霍夫轉換 ； 車道偵測 ； 車道線

並列摘要

Lane detection is an operation in vision-based automotive safety applications. To reduce the computational complexity of lane detection, the region of interest (ROI) is a commonly used approach. However, the traditional rectangular ROI in the Hough space is prone to result in vibrated lane markings. To solve this problem, we present an elliptical ROI in the Hough space. The proposed ROI can not only increase the accuracy of lane-marking detection but also reduce the computational complexity of lane detection. In addition, we also present a new auxiliary lane detection algorithm to deal effectively with cases where one lane-marking is missing. Experimental results show that the proposed algorithm results in more accurate and satisfying lane-marking detection.

並列關鍵字

region of interest ； Hough transform ； lane detection ； lane markings