The invention discloses an unmanned aerial vehicle deicing method based on image recognition, and relates to the technical field of unmanned aerial vehicle deicing, and the method comprises the steps: calling an image collection assembly of a target unmanned aerial vehicle to carry out the image collection of a target deicing region, obtaining a deicing region image, carrying out the feature recognition of the deicing region image through an image feature recognizer, and obtaining a deicing region image; obtaining an icing feature set; obtaining a regional environment state parameter group sequence; determining a plurality of environment state parameter feature groups; obtaining an environment state parameter feature group sequence; determining an iterative association environment state parameter feature group; and obtaining a deicing parameter set of the target unmanned aerial vehicle, and controlling the target unmanned aerial vehicle to deice the target deicing area. The technical problem that in the prior art, unmanned aerial vehicle deicing lacks correlation analysis on the environment state, the actual icing condition of the deicing area is inaccurately mastered, and the deicing quality is poor is solved, and the technical effect of improving the unmanned aerial vehicle deicing reliability is achieved.
本发明公开了一种基于图像识别的无人机除冰方法,涉及无人机除冰技术领域,该方法包括:调用目标无人机的图像采集组件对目标除冰区域进行图像采集,获得除冰区域图像,利用图像特征识别器对除冰区域图像进行特征识别,获得结冰特征集合;获得区域环境状态参数组序列;确定多个环境状态参数特征组;获得环境状态参数特征组序列;确定迭代关联环境状态参数特征组;获取目标无人机除冰参数集合,控制目标无人机对目标除冰区域进行除冰。本发明解决了现有技术中无人机除冰缺乏对环境状态的关联分析,对除冰区域实际结冰情况掌握不准确,导致除冰质量差的技术问题,达到了提高无人机除冰可靠性的技术效果。
Unmanned aerial vehicle deicing method based on image recognition
一种基于图像识别的无人机除冰方法
11.04.2025
Patent
Elektronische Ressource
Chinesisch
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