基于人工智能的无人机自主飞行热流预测

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI:10.1109/RPIC53795.2021.9648483

C. Catuogno, G. Catuogno, D. De Yong, F. Magnago, G. Garcia, J. Bosso

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引用次数: 2

摘要

这项工作提出了一种通过神经网络预测热流的方法，以促进使用这种形式的能量来完成任务的自主无人机的飞行决策。它是基于飞行过程中环境参数、地理位置、时间和速度的实验测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Prediction of thermal currents for autonomous drone flight with Artificial Intelligence

This work presents the proposal for a method of prediction of thermal currents by means of neural networks, to facilitate decision-making in the flight of autonomous drones that use this form of energy to fulfill their missions. It is based on the experimental measurement during the flight of environmental parameters, geographical location, time and speed.

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2021 XIX Workshop on Information Processing and Control (RPIC)

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