Based on this context, this article proposes a new approach for localization and navigation UAVs using topological maps and Convolutional Neural Networks (CNN).
In [8] transfer learning was also used as a feature extractor for UAV (Unmanned Aerial Vehicle) navigation. The approach used achieved 99.97% accuracy using kNN ...
基于此，本文提出了一种基于拓扑地图和卷积神经网络(CNN)的无人机定位和导航新方法。根据迁移学习的概念，使用CNN作为特征提取器。拓扑图的使用有助于引导飞行器通过探索 ...
In general, CV navigation models are trained using a transfer learning approach where the training is conducted in a virtual 3D environment that simulates the ...
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This paper aims to provide a comprehensive and systematic review on the application of various RL algorithms to different autonomous UAV navigation problems.
Mapless navigation does not rely on maps; instead, it applies computer vision techniques to extract features from the environment and learn the different ...
A Transfer Learning (TL) based approach to reduce on-board computation required to train a deep neural network for autonomous navigation via value-based ...
The results demonstrate that our proposed approach is capable of reducing the training time considerably at mmWave. Index Terms—Cellular networks, deep ...
Oct 9, 2024 · This review provides valuable insights into the current state and future directions of DL-based CV for autonomous UAVs, emphasizing its growing ...
Jan 3, 2024 · This study presents a transfer learning-based learning technique that enhances the performance of both ownship and targets in a two-circle-based head-on using ...