Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (6): 1262-1267.doi: 10.3969/j.issn.1001-506X.2013.06.22
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HAO Shuai1,CHENG Yong-mei1,MA Xu1,WANG Tao2, ZHAO Jian-tao1
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Abstract:
A robust corner precise detection algorithm is proposed to solve the problem that the images have serious distortion of scale and angle when carrier-based unmanned helicopter lands. A cooperation with distinct color contrast and asymmetric is designed. And corners on cooperative object can be gotten through calculating the minimum perimeter polygon (MPP) of its. To solve the problem of removing false corners and corners out of order, a strategy which concludes slope constrain, distance constrain and orientation constrain is proposed. Finally, to solve the problem of sub pixel Harris corner detection algorithm with high precision but out of order and MPP corner detection algorithm based on triple constraints with low precision but ordered, a fusion strategy is proposed. Experiment results show that the proposed algorithm can effectively solve the problem of corner detection when cooperation has serious distortion of angle and a certain range of scale distortion.
HAO Shuai,CHENG Yong-mei,MA Xu,WANG Tao, ZHAO Jian-tao. Robust corner precise detection algorithm for visual landing navigation of UAV[J]. Journal of Systems Engineering and Electronics, 2013, 35(6): 1262-1267.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2013.06.22
https://www.sys-ele.com/EN/Y2013/V35/I6/1262