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A method to recognize and track runway in the image sequences based on template matching

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3 Author(s)
Ding Meng ; Coll. of Autom. Eng., Nanjing Aeronaut. Univ. ; Cao Yun-feng ; Guo Lin

The first task of computer vision-based unmanned aerial vehicle (UAV)'s autonomous landing is to recognize and track the runway using computer vision. In this paper, we discussed a simple method to recognize and track the runway in the image sequences using template matching. Firstly, the runway is separated from background using segmentation by threshold. Secondly, template design is initialized according to the characteristics of runway. Lastly, delta-correlation is used to recognize runway. The experiment indicates that this algorithm is not only fast and accurate but also can satisfy all requirements of UAV's autonomous landing

Published in:

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

Date of Conference:

19-21 Jan. 2006