Illumination invariant lane color recognition by using road color reference & neural networks

Non-linearity of color changing in various lighting conditions is one of the primary factors which make lane color recognition difficult. This paper introduces an illumination invariant lane color recognition method which can recognize two lane colors (white, yellow) and copes with the non-linearity...

Full description

Saved in:
Bibliographic Details
Main Authors: Hyun-Chul Choi, Se-Young Oh
Format: Conference Proceeding
Language:English
Subjects:
Equations
Image color analysis
Lighting
Mathematical model
Pixel
Roads
Training
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Non-linearity of color changing in various lighting conditions is one of the primary factors which make lane color recognition difficult. This paper introduces an illumination invariant lane color recognition method which can recognize two lane colors (white, yellow) and copes with the non-linearity by using neural networks. Our method utilizes the road texture as the indicator of illumination condition and learns the relation between illumination condition and lane color by using multi-layer perceptron. The proposed method was verified by the experiment with a road images sequence of real driving situation.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2010.5596304