A Road Marking Detection System Using Partial Template Matching and Region Estimation by Deep Neural Network-Reference-Cited by-同舟云学术

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A Road Marking Detection System Using Partial Template Matching and Region Estimation by Deep Neural Network

Published:2021-02-15 Issue:1 Volume:33 Page:566-571
ISSN:1347-7986
Container-title:Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
language:en
Short-container-title:J. SOFT

Author:

MII Yuya¹,MIYAZAKI Ryogo¹,YOSHIMOTO Yuma¹²,ISHIDA Yutaro¹,ITO Takuma³,TOHRIYAMA Kyoichi⁴,TAMUKOH Hakaru¹⁵

Affiliation:

1. Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology

2. Japan Society for the Promotion of Science Research Fellow

3. Department of Mechanical Engineering, Graduate School of Engineering, The University of Tokyo

4. Frontier Research Center, Toyota Motor Corporation

5. Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Link

https://www.jstage.jst.go.jp/article/jsoft/33/1/33_566/_pdf

Reference5 articles.

1. [2] T. Ito, M. Mio, K. Tohriyama, and M. Kamata: “Novel Map Platform Based on Primitive Elements of Traffic Environments for Automated Driving Technologies,” Int. J. of Automotive Engineering, Vol.7, No.4, pp. 143-151, 2016.

2. [3] S. Nakamura, T. Ito, T. Kinoshita, and M. Kamata: “Detection Technology of Road Marks Utilizing Combination of Partial Templates,” Int. J. of Automotive Engineering, Vol.9, No.3, pp. 105-114, 2018.

3. [4] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi: “You Only Look Once: Unified, Real-Time Object Detection,” Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, pp. 779-788, 2016.

4. [6] Y. Ishida and H. Tamukoh: “Semi-Automatic Dataset Generation for Object Detection and Recognition and its Evaluation on Domestic Service Robots,” J. Robot. Mechatron., Vol.32, No.1, 2020.

5. [7] Colorcorrect: https://github.com/shunsukeaihara/colorcorrect [accessed Dec. 15, 2020]

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