Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Design of Traffic Cone Localization and Angle Measurement System Based on Monocular Camera

Authors
Chenjian Du, Shuqiang Gao
Corresponding Author
Chenjian Du
Available Online March 2017.
DOI
10.2991/emcs-17.2017.97How to use a DOI?
Keywords
Traffic cone; Monocular camera; Image processing; Position determination; Angle measurement
Abstract

In this paper, a traffic cone localization and angle measurement system is designed from the perspective of digital image processing based on monocular camera. The system can assist the traffic cone cart to automatically identify and locate the traffic cones during the process of collecting traffic cones. The angle of the traffic cone is measured when it is laying down based on the positional relationship of the feature points. In order to verify the reliability of the system, we adjust the images collected by the camera, then we recognize the colors and process the images morphology to determine whether the traffic cones exist in the image, finally we get the real positions and the angles in physical space by geometric relation deductive method on the simulation platform VS2010+OpenCV. The measurement error is within an accept range since its mistakes are all less than 2 cm during the tests. The experimental results show that the system can identify the traffic cones on the road surface effectively and calculate its position and angle information, which can satisfy the needs of the traffic cone cart.

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/).

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Volume Title
Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
978-94-6252-335-7
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.97How 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  - Chenjian Du
AU  - Shuqiang Gao
PY  - 2017/03
DA  - 2017/03
TI  - Design of Traffic Cone Localization and Angle Measurement System Based on Monocular Camera
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 489
EP  - 503
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.97
DO  - 10.2991/emcs-17.2017.97
ID  - Du2017/03
ER  -