Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
CV Dolph, C Ippolito, LJ Glaab, MJ Logan… - Journal of Aerospace …, 2023 - arc.aiaa.org
This work proposes a vision-based perception algorithm that combines image-processing-
based detection and tracking of aerial objects with convolutional neural networks (CNNs) …
based detection and tracking of aerial objects with convolutional neural networks (CNNs) …
The Intellectual Structure and the Future of Counter-Uncrewed Aerial Systems (UAS) Research: A Bibliometric and A Scoping Review
With advancements in remote sensing technology and affordable design, uncrewed aerial
systems (UAS), commonly known as drones, have become prevalent in civil and military …
systems (UAS), commonly known as drones, have become prevalent in civil and military …
Using trajectory smoothness metrics to identify drones in radar track data
View Video Presentation: https://doi. org/10.2514/6.2022-4004. vid The identification of
unmanned aircraft systems (UAS) using trajectory data is considered. Specifically, a number …
unmanned aircraft systems (UAS) using trajectory data is considered. Specifically, a number …