Feature Based Vision Destination Recognition for Mobile Robot
Xianguang Cui, Hai Zhang, Yue Wang
Available Online July 2016.
- https://doi.org/10.2991/mcae-16.2016.15How to use a DOI?
- camera calibration; destination matching; visual heading
- 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.
- 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 -