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| Airport Runway Marking Detection and Identification of Unmanned Landing Vehicle Based on Vision |
| WANG HongQun1,2, PENG JiaXiong1, LI LingLing1,3 |
1.State Education Commission Key Laboratory for Image Processing and Intelligent Control,Institute for Pattern Recognition and Artifical Intelligence, Huazhong University of Science and Technology, Wuhan 430074
2.Institute of Electronic Technology, University of Information Engineering of PLA, Zhengzhou 450004
3.Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450015 |
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Abstract In this paper, the proplem how to detect and recognize the airport runway marking in images is discussed. These images are obtained by a landing unmanned air vehicle (UAV) based on vision. Some spots of high light are extracted and grouped into several small clusters using a special clustering algorithm. An identification model is constructed using the perspective model, the rectangular flatplate constraint and the prior views of the scene constraint conditions. Then the runway spots in these clusters using this identification model can be datected. The computational time is greatly cut down by this classification process. The experimental results show that the proposed algorithm is very suited to the landing of UAV.
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Received: 27 September 2005
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2006, Vol. 19 
