TY - GEN
T1 - Robust road line color recognition based on 2-dimensional S-color space
AU - Yan, Jin
AU - Baek, Seung Hae
AU - Park, Soon Yong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - In this paper, we propose an illumination invariant lane color recognition method. Most of the conventional lane color recognition methods suffer from various illumination changes. In the past, the HSV color space has been commonly used to tell white and the yellow road lines, because the HSV color space is a range of specific colors. However, it is known that accurate road line recognition is difficult using the HSV space, because the road illumination is not static but always dynamic. In this paper, we propose a robust road line color recognition method by introducing a 2-dimensional S-color space. The white and yellow color features are clustered in the 2-D S-color space. The centroid of the feature samples in S-space is tracked continuously for real-time lane tracking.
AB - In this paper, we propose an illumination invariant lane color recognition method. Most of the conventional lane color recognition methods suffer from various illumination changes. In the past, the HSV color space has been commonly used to tell white and the yellow road lines, because the HSV color space is a range of specific colors. However, it is known that accurate road line recognition is difficult using the HSV space, because the road illumination is not static but always dynamic. In this paper, we propose a robust road line color recognition method by introducing a 2-dimensional S-color space. The white and yellow color features are clustered in the 2-D S-color space. The centroid of the feature samples in S-space is tracked continuously for real-time lane tracking.
UR - http://www.scopus.com/inward/record.url?scp=85042372382&partnerID=8YFLogxK
U2 - 10.1109/MFI.2017.8170452
DO - 10.1109/MFI.2017.8170452
M3 - Conference contribution
AN - SCOPUS:85042372382
T3 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
SP - 342
EP - 347
BT - MFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017
Y2 - 16 November 2017 through 18 November 2017
ER -