Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2014, Special Issue (2014), Article ID 567057, 12 pages.

Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm

Jialiang Wang, Hai Zhao, Yuanguo Bi, Xingchi Chen, Ruofan Zeng, and Shiliang Shao

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Quad-rotor helicopter is becoming popular increasingly as they can well implement many flight missions in more challenging environments, with lower risk of damaging itself and its surroundings. They are employed in many applications, from military operations to civilian tasks. Quad-rotor helicopter autonomous navigation based on the vanishing point fast estimation (VPFE) algorithm using clustering principle is implemented in this paper. For images collected by the camera of quad-rotor helicopter, the system executes the process of preprocessing of image, deleting noise interference, edge extracting using Canny operator, and extracting straight lines by randomized hough transformation (RHT) method. Then system obtains the position of vanishing point and regards it as destination point and finally controls the autonomous navigation of the quad-rotor helicopter by continuous modification according to the calculated navigation error. The experimental results show that the quad-rotor helicopter can implement the destination navigation well in the indoor environment.

Article information

J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 567057, 12 pages.

First available in Project Euclid: 27 February 2015

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Wang, Jialiang; Zhao, Hai; Bi, Yuanguo; Chen, Xingchi; Zeng, Ruofan; Shao, Shiliang. Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm. J. Appl. Math. 2014, Special Issue (2014), Article ID 567057, 12 pages. doi:10.1155/2014/567057.

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