Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Pavement Guide Marks Recognition based on Projection

Authors
Yi WEI, Hang YANG, Chenhui YANG, Yamin XU
Corresponding Author
Yi WEI
Available Online July 2017.
DOI
10.2991/eia-17.2017.72How to use a DOI?
Keywords
guide marks recognition; projection signal; signal similarity evaluation
Abstract

With the development of intelligent transportation system, the automatic recognition of pavement guide marks has attracted more and more attention. Due to their convexity-concavity in shape, existing algorithms can hardly complete the task. This paper introduces projection technique that transforming the 2D irregular shapes into two 1D signals. By conducting the signal similarity measurement, guide marks recognition is achieved with higher accuracy and faster speed. Experimental results also demonstrate its potential in some real-time applications.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.72
ISSN
1951-6851
DOI
10.2991/eia-17.2017.72How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yi WEI
AU  - Hang YANG
AU  - Chenhui YANG
AU  - Yamin XU
PY  - 2017/07
DA  - 2017/07
TI  - Pavement Guide Marks Recognition based on Projection
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 337
EP  - 340
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.72
DO  - 10.2991/eia-17.2017.72
ID  - WEI2017/07
ER  -