An effective and fast lane detection algorithm

Chung Yen Su, Gen Hau Fan

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)

摘要

Lane detection is crucial for autonomous driving. In this paper, we present an effective and fast lane detection algorithm. The proposed algorithm includes three novelties. First, we set a region of interest (ROI) appropriate to reduce nonessential cost of computation. Second, we determine a real midpoint between two road lines for each frame. The midpoint can be used to classify the candidates of lane marking points to right and left effectively. Finally, we use a temporal trajectory strategy to avoid the failure of lane detection, which is generally caused by shadows of bridges or neighboring vehicles. Experimental results show that the proposed algorithm can label the location of lane marking accurately and fast. It processes a frame only 16 ms and can solve the problems caused by lighting change, shadows, and vehicle occlusions.

原文英語
主出版物標題Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
頁面942-948
頁數7
版本PART 2
DOIs
出版狀態已發佈 - 2008 十二月 1
事件4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, 美国
持續時間: 2008 十二月 12008 十二月 3

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
5359 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他4th International Symposium on Visual Computing, ISVC 2008
國家美国
城市Las Vegas, NV
期間2008/12/012008/12/03

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

指紋 深入研究「An effective and fast lane detection algorithm」主題。共同形成了獨特的指紋。

引用此