Title :
Lane detection using Fourier-based line detector
Author :
Rahmdel, Payam S. ; Daming Shi ; Comley, Richard
Author_Institution :
Sch. of Sci. & Technol., Middlesex Univ. London, London, UK
Abstract :
In this paper a new approach to lane marker detection problem is introduced as a significant complement for a semi/fully autonomous driver assistance system. The method incorporates advance line detection using multilayer fractional Fourier transform (MLFRFT) and the state-of-the-art advance lane detector (ALD). Experimental results have shown a considerable reduction in computational complexity.
Keywords :
Fourier transforms; driver information systems; edge detection; ALD; Fourier-based line detector; MLFRFT; advance lane detector; autonomous driver assistance system; computational complexity reduction; lane detection; lane marker detection problem; multilayer fractional Fourier transform; Hough transform; Lane detection; lane tracking; line detection; multilayer fractional Fourier transform;
Conference_Titel :
Circuits and Systems (MWSCAS), 2013 IEEE 56th International Midwest Symposium on
Conference_Location :
Columbus, OH
DOI :
10.1109/MWSCAS.2013.6674889
