Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

Feature Based Vision Destination Recognition for Mobile Robot

Authors
Xianguang Cui, Hai Zhang, Yue Wang
Corresponding Author
Xianguang Cui
Available Online July 2016.
DOI
https://doi.org/10.2991/mcae-16.2016.15How to use a DOI?
Keywords
camera calibration; destination matching; visual heading
Abstract
This paper presents a feature based vision destination recognition approach. A simplified static calibration of camera is implemented and then based on the homography matrix calculated by coplanar matched Speeded-Up Robust Features (SURF) points the destination which is not even a direct feature point is tracked. By using the reference image and the invariance of area ratio of two triangles in affine transformation, the accumulated error is eliminated and the homography is corrected. The result of the laboratory dynamic experiment proves the stability and accuracy of the method.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-237-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mcae-16.2016.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xianguang Cui
AU  - Hai Zhang
AU  - Yue Wang
PY  - 2016/07
DA  - 2016/07
TI  - Feature Based Vision Destination Recognition for Mobile Robot
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 58
EP  - 62
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.15
DO  - https://doi.org/10.2991/mcae-16.2016.15
ID  - Cui2016/07
ER  -