Linear fuzzy space based road lane model and detection

D. Obradović, Z. Konjović, E. Pap, I. J. Rudas

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

In this paper, we propose a new road lane model based on linear fuzzy space mathematics, coupled with a robust road lane detection method using fuzzy c-means clustering. The fuzzy line based road lane model presented here describes a lane as a set of fuzzy collinear fuzzy points. The proposed algorithm for road line detection is able to deal with imprecise data and enables reduced computational complexity (proportional to the number of fuzzy points multiplied by the number of fuzzy lines) versus a standard Hough transformation. Experimental results show that the proposed method is fast, and robust enough for use in real-time applications. The proposed method has been implemented as an Android-based mobile phone application.

Original languageEnglish
Pages (from-to)37-47
Number of pages11
JournalKnowledge-Based Systems
Volume38
DOIs
Publication statusPublished - Jan 1 2013

Keywords

  • Fuzzy collinear
  • Fuzzy line
  • Fuzzy point
  • Image processing
  • Lane model
  • Line detection
  • Linear fuzzy space

ASJC Scopus subject areas

  • Management Information Systems
  • Software
  • Information Systems and Management
  • Artificial Intelligence

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