| 基于改进SIFT图像匹配的无人机高精度避障算法设计 |
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| 引用本文： | 肖英楠,孙抒雨.基于改进SIFT图像匹配的无人机高精度避障算法设计[J].机械制造与自动化,2022,51(1):237-240. |
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| 作者姓名： | 肖英楠 孙抒雨 |
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| 作者单位： | 成都理工大学 工程技术学院,四川 乐山614000 |
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| 摘 要： | 为提高无人机避障能力,提出基于改进SIFT图像匹配的无人机高精度避障算法.通过角点匹配和多分辨模式识别,实现对无人机高精度避障的图像显著特征点检测,通过对比梯度分析和参数融合识别,实现对无人机高精度避障图像信息加权融合处理,采用改进SIFT图像匹配方法,匹配无人机高精度避障地理空间网格,实现避障算法的优化设计.仿真结果...
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| 关 键 词： | 改进SIFT图像 角点匹配 无人机避障 自适应控制 |
Design of High-precision Obstacle Avoidance Algorithm for UAV Based on Improved SIFT Image Matching |
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| XIAO Yingnan,SUN Shuyu.Design of High-precision Obstacle Avoidance Algorithm for UAV Based on Improved SIFT Image Matching[J].Machine Building & Automation,2022,51(1):237-240. |
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| Authors: | XIAO Yingnan SUN Shuyu |
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| Affiliation: | (College of Engineering and Technical,Chengdu University of Technology,Leshan 614000,China) |
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| Abstract: | To improve the obstacle avoidance ability of UAV,a high-precision obstacle avoidance algorithm based on improved SIFT image matching is proposed.By corner matching and multi-resolution pattern recognition,the salient features of UAV high-precision obstacle avoidance image are detected.The weighted fusion processing of UAV high-precision obstacle avoidance image information is achieved by comparing gradient analysis and parameter fusion recognition.The improved SIFT image matching method is used to match UAV high-precision obstacle avoidance geospatial grid,and the optimization design of obstacle avoidance algorithm is realized.The simulation results show that the UAV has high adaptive planning ability and high obstacle avoidance accuracy. |
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| Keywords: | improved SIFT image corner matching UAV obstacle avoidance adaptive control |
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