@inproceedings{559f3c9bbf7c4bab8e44357e39a0004a,
title = "A vision-based attitude/position estimation for the automatic landing of unmanned helicopter on ship",
abstract = "In the process of unmanned helicopter autonomous landing, the visual navigation system gets the position and attitude information of the unmanned helicopter relative to the ship with the target identification on the ship deck, providing the information for the design of the flight control system, which ensures the accuracy and safety during its landing. The specific target identification was designed first. Then the visual system acquired images and processed the images, which could eliminate the noise extraction boundary to obtain the useful information in the images. After that, use the Hough transform to extract the straight lines in the target images. The position and attitude estimation method is proposed based on geometric relations between the straight lines in the target identification on the deck and in the images acquired by the camera. Finally, the validity of the proposed algorithm was verified by tests.",
keywords = "Hough transform, Image processing, Position and attitude estimation, Target identification, Unmanned helicopter, Visual navigation",
author = "Wei Li and Wang, \{Ji Dong\} and Li, \{Meng Yang\}",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2017 International Conference on Watermarking and Image Processing, ICWIP 2017 ; Conference date: 06-09-2017 Through 08-09-2017",
year = "2017",
month = sep,
day = "6",
doi = "10.1145/3150978.3150992",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "1--5",
booktitle = "ICWIP 2017 - 2017 International Conference on Watermarking and Image Processing",
address = "美国",
}