A Texture-Based Local Soft Voting Method for Vanishing Point Detection from a Single Road Image-Reference-Cited by-同舟云学术

A Texture-Based Local Soft Voting Method for Vanishing Point Detection from a Single Road Image

Published:2013 Issue:3 Volume:E96.D Page:690-698
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

BUI Trung Hieu¹,NOBUYAMA Eitaku²,SAITOH Takeshi²

Affiliation:

1. Department of Information Science, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology

2. Department of Systems Design and Informatics, Kyushu Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E96.D/3/E96.D_690/_pdf

Reference18 articles.

1. [1] G. Zhang, N. Zheng, C. Cui, Y. Yan, and Z. Yuan, “An efficient road detection method in noisy urban environment,” Proc. Intelligent Vehicles Symposium, pp.556-561, 2009.

2. [2] Y. He, H. Wang, and B. Zhang, “Color-based road detection in urban traffic scenes,” IEEE Trans. Intelligent Transportation Systems, vol.5, no.4, pp.309-318, 2004.

3. [3] Q. Wu, W. Zhang, T. Chen, and B.V.K.V. Kumar, “Prior-based vanishing point estimation through global perspective structure matching,” Proc. IEEE International Conference on Acoustics Speech and Signal Processing, pp.2110-2113, 2010.

4. [4] T. Suttorp and T. Bucher, “Robust vanishing point estimation for driver assistance,” Proc. IEEE Intelligent Transportation Systems Conference, pp.1550-1555, 2006.

5. [5] Y. Wang, E.K. Teoh, and D. Shen, “Lane detection and tracking using B-Snake,” Image Vis. Comput., vol.22, no.4, pp.269-280, 2004.

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