The invention relates to the field of artificial intelligence, in particular to an unmanned aerial vehicle turning jelly effect processing method based on artificial intelligence, and the method comprises the steps: predicting a turning index corresponding to a flight direction and a historical jelly effect index through a prediction network during the turning of an unmanned aerial vehicle through predicting the flight direction of the unmanned aerial vehicle; and adjusting the flight speed of the unmanned aerial vehicle according to the predicted jelly effect index. The jelly effect index during the turning of the unmanned aerial vehicle is predicted through the historical jelly effect index of the unmanned aerial vehicle and the unmanned aerial vehicle turning index corresponding to the predicted flight direction of the unmanned aerial vehicle, and then the flight speed of the unmanned aerial vehicle is adjusted according to the predicted jelly effect index, so that on one hand, the surveying and mapping efficiency can be improved on the premise of not influencing the image quality; on the other hand, the jelly effect can be prevented, and the image quality is ensured.
本发明涉及人工智能领域,具体涉及一种基于人工智能的无人机变向果冻效应处理方法,该方法通过预测无人机的飞行方向,将飞行方向所对应的变向指标和历史果冻效应指标经过预测网络预测无人机变向时的果冻效应指标,进而根据预测的果冻效应指标调整无人机的飞行速度。通过无人机的历史果冻效应指标和由预测的无人机飞行方向所对应的无人机变向指标预测无人机变向时的果冻效应指标,进而根据预测的果冻效应指标调整无人机的飞行速度,一方面能够在不影响图像质量的前提下提高测绘效率,另一方面能够预防果冻效应的发生,保证图像的质量。
Unmanned aerial vehicle turning jelly effect processing method and system based on artificial intelligence
基于人工智能的无人机变向果冻效应处理方法与系统
2021-07-13
Patent
Elektronische Ressource
Chinesisch
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