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

A Visual Navigation Control Method of Substation Inspection Robot

Authors
Liqiang ZHONG, Shaosheng FAN, Shaohai ZHANG, Di YANG
Corresponding Author
Liqiang ZHONG
Available Online July 2017.
DOI
10.2991/eia-17.2017.65How to use a DOI?
Keywords
substation inspection robot; navigation path; rebuild gray image; template matching
Abstract

According to the real condition of the substation inspection robot provided a vision-based navigation control method for substation inspection robot can be run in the complex road environment, with strong anti-interference, implementation of simple, good stability and high precision in this paper. In the rational planning of substation robot inspection path, making robots able to inspect substation equipment fully. Robots get information of navigation path through the visual, using HSV color space model effectively solve the interference of illumination in the image, then calculate the current offset of the center, and sent it to the controller, adjusting left and right wheels with differential speed make the robot running stably.

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 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.65
ISSN
1951-6851
DOI
10.2991/eia-17.2017.65How 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  - Liqiang ZHONG
AU  - Shaosheng FAN
AU  - Shaohai ZHANG
AU  - Di YANG
PY  - 2017/07
DA  - 2017/07
TI  - A Visual Navigation Control Method of Substation Inspection Robot
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 301
EP  - 307
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.65
DO  - 10.2991/eia-17.2017.65
ID  - ZHONG2017/07
ER  -