Real-time scene understanding for UAV imagery based on deep convolutional neural networks
C Sheppard, M Rahnemoonfar - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Real-time scene understanding is important for many applications of Unmanned Aerial
Vehicles (UAVs) such as reconnaissance, surveillance, mapping, and infrastructure …
Vehicles (UAVs) such as reconnaissance, surveillance, mapping, and infrastructure …
Flight performance envelope for an aircraft with a fixed-pitch propeller
DH Bridges - SAE International Journal of Aerospace, 2021 - sae.org
A flight envelope for aircraft performance in the vertical plane illustrates the performance
limitations on the aircraft, usually indicating the minimum and maximum airspeeds at a given …
limitations on the aircraft, usually indicating the minimum and maximum airspeeds at a given …
[PDF][PDF] REAL-TIME SCENE UNDERSTANDING OF UNMANNED AERIAL VEHICLE IMAGERY WITH AND BEYOND VISULA SENSORS BY DEEP LEARNING
M Rahnemoonfar, C Sheppard, D Bridges - maryam.is.umbc.edu
Deep Convolutional Neural Networks (CNNs) have emerged as a powerful model for
classifying image content, and are widely considered in the computer vision community to …
classifying image content, and are widely considered in the computer vision community to …