A Cumulative Distribution Function of Edge Direction for Road-Lane Detection

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概要

• 論文の詳細を見る

• This paper describes a cumulative distribution function (CDF) of edge direction for detecting road lanes. Based on the assumptions that there are no abrupt changes in the direction and location of road lanes and that the intensity of lane boundaries differs from that of the background, the CDF is formulated, which accumulates the edge magnitude for edge directions. The CDF has distinctive peak points at the vicinity of lane directions due to the directional and the positional continuities of a lane. To obtain lane-related information, we construct a scatter diagram by collecting edge pixels, of which the direction corresponds to the peak point of the CDF, then perform the principal axis-based line fitting for the scatter diagram. Bacause noises can cause many similar features appear or disappear in an image, to prevent false alarms or miss detection, a recursive estimator of the CDF was introduced, and also a scene understanding index (SUI) was formulated by the statistical parameters of the CDF. The proposed algorithm has been implemented in real time on video data obtained from a test vehicle driven on a typical highway.

• 社団法人電子情報通信学会の論文
• 2001-09-01

著者

• Lee J‐w

  Korea Univ. Seoul Kor

• LEE Joon-Woong

  with the Department of Industrial Engineering, Chonnam National University

• YI Un-Kun

  with the Department of Electronics Engineering, Pusan National University

• BAEK Kwang-Ryul

  with the Department of Electronice Engineering, Pusan National University

• Yi Un-kun

  With The Department Of Electronics Engineering Pusan National University

• Baek Kwang-ryul

  With The Department Of Electronice Engineering Pusan National University

関連論文

• A Cumulative Distribution Function of Edge Direction for Road-Lane Detection

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