Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm | Zendy

Jialiang Wang | Zendy; Zhao Hai | Zendy; Yuanguo Bi | Zendy; Xingchi Chen | Zendy; Ruofan Zeng | Zendy; Shiliang Shao | Zendy

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Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm

Author(s) -

Jialiang Wang,

Zhao Hai,

Yuanguo Bi,

Xingchi Chen,

Ruofan Zeng,

Shiliang Shao

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/567057

Subject(s) - computer science , hough transform , computer vision , navigation system , rotor (electric) , process (computing) , canny edge detector , artificial intelligence , preprocessor , vanishing point , noise (video) , point (geometry) , position (finance) , enhanced data rates for gsm evolution , image (mathematics) , edge detection , engineering , image processing , mathematics , mechanical engineering , geometry , finance , economics , operating system

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

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