Paper Info
Title
Road curve fitting by multi-resolution analysis
Abstract
In this paper, we propose a new method for road curve fitting in urban environment based on multi-resolution analysis. The main technical contributions of the proposed method are the reconstructed approximation on the basis of the wavelet decomposition structure for curve fitting and the de-noising via the wavelet coefficients thresholding. The carried out experimental tests show promising results in a series of continuous driving images, validating our suggested method can fit the road curve effectively and computational efficiently.
Year
DOI
Venue
2016
10.1109/SMC.2016.7844298
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Keywords
Field
DocType
road curve fitting,multiresolution analysis,urban environment,reconstructed approximation,wavelet decomposition structure,image denoising,wavelet coefficients threshold,continuous driving images,method validation,road detection,road edge points extraction
Noise reduction,Iterative reconstruction,Wavelet decomposition,Curve fitting,Control theory,Simulation,Computer science,Multi resolution analysis,Urban environment,Algorithm,Thresholding,Wavelet
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-5090-1898-7
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Li Sun100.34
Yuan Yan Tang22662209.20
Tao Wu311.37
patrick s p wang430347.66