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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38124

Title: Novel boundary determination algorithm for lane detection
Authors: Shan-Chun Tsai
Bo-Yu Huang
Yi-Hua Wang
Chiao-Wei Lin
Chang-Te Lin
Chun-Shun Tseng
Jung-Hua Wang
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: roads
edge detection
feature extraction
Date: 2013
Issue Date: 2016-08-04T03:46:20Z
Publisher: 2013 International Conference on Connected Vehicles and Expo
Abstract: Abstract: A novel boundary determination algorithm (BDA) for robust lane detection is presented. The algorithm can track a complete lane boundary based on partial lane edge points provided there exist sufficient orientation similarity there between. BDA mainly comprises two parts: (a) utilizing an edge detection method to extract orientations and coordinates of edge points; (b) repeatedly applying two circular masks, i.e., a probing circular mask followed by a tracing circular mask, to collect two separate sets of orientations of edge points and from which to sift out a primary orientation for tracking a curve as perceived by human eyes. The algorithm is characterized in that the probing circular mask acts to probe ahead for the tracing circular mask in order to avoid deviation from the right track.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38124
Appears in Collections:[電機工程學系] 期刊論文

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