Title :
A method to recognize and track runway in the image sequences based on template matching
Author :
Meng, Ding ; Yun-feng, Cao ; Lin, Guo
Author_Institution :
Coll. of Autom. Eng., Nanjing Aeronaut. Univ.
Abstract :
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
Keywords :
aerospace computing; computer vision; image matching; image segmentation; image sequences; remotely operated vehicles; autonomous landing; computer vision; delta-correlation; image segmentation; image sequence; template matching; track runway recognition; unmanned aerial vehicle; Automotive engineering; Computer vision; Educational institutions; Histograms; Image recognition; Image segmentation; Image sequences; Mobile robots; Remotely operated vehicles; Unmanned aerial vehicles; δ-correlation; runway recognition; runway track; template matching;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
DOI :
10.1109/ISSCAA.2006.1627585
