Abstract
We bring out a runway extraction method based on rotating projection in this paper, which consists of three steps, locating the Region of interest (ROI), edge extraction and line detection. Firstly we employ template matching to locate the ROI which contains the runway area. Then we use Sobel operator to extract edges. The rotating projection algorithm is proposed to seek the potential straights in ROI, which will be integrated into the real straights by means of improved K-means clustering method. Simulations are carried out in the end, and results show that the algorithm proposed in this paper can extract the four boundaries of the runway effectively, while it can reduce 50 % of computing time compared with Hough transform.
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Acknowledgements
The viedo used in the simulation was generated by Dr. Christian Eitner, who works in Institute of Flight System Dynamic (FSD), TUM. So I would like to express my heartfelt gratitude to him here.
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Guan, Zy., Li, J., Yang, H. (2016). Runway Extraction Method Based on Rotating Projection for UAV. In: Qi, E. (eds) Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-145-1_30
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DOI: https://doi.org/10.2991/978-94-6239-145-1_30
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