Deep learning-based strategies for the detection and tracking of drones using several cameras
Commercial Unmanned aerial vehicle (UAV) industry, which is publicly known as drone, has
seen a tremendous increase in last few years, making these devices highly accessible to …
seen a tremendous increase in last few years, making these devices highly accessible to …
Fine-tuned residual network-based features with latent variable support vector machine-based optimal scene classification model for unmanned aerial vehicles
In recent days, unmanned aerial vehicles (UAVs) becomes more familiar because of its
versatility, automation abilities, and low cost. Dynamic scene classification gained significant …
versatility, automation abilities, and low cost. Dynamic scene classification gained significant …
Use of Deep Learning Applications for Drone Technology
Imagine a society where conventional techniques no longer constrain crime investigation
and instead use cutting-edge technology to crack cases more quickly and effectively. With …
and instead use cutting-edge technology to crack cases more quickly and effectively. With …
Cube-based multitarget 3d localization using bayesian learning-based turbo decoding in wireless sensor networks
CY Wei, CC Chen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Wireless techniques have progressed beyond two-dimensional (2D) applications; in
particular, three-dimensional (3D) localization in wireless sensor networks has attracted …
particular, three-dimensional (3D) localization in wireless sensor networks has attracted …
Optimized deep learning object recognition for drones using embedded gpu
PA Rad, D Hofmann, SAP Mendez… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, drones can be seen in various applications in industry like surveillance and
transportation. Industrial drones leverage fully-fledged computer vision techniques, such as …
transportation. Industrial drones leverage fully-fledged computer vision techniques, such as …
An autonomous drone surveillance and tracking architecture
In this work, we present a computer vision and machine learning backed autonomous drone
surveillance system, in order to protect critical locations. The system is composed of a wide …
surveillance system, in order to protect critical locations. The system is composed of a wide …
Unmanned aerial vehicle hub detection using software-defined radio
The applications of unmanned aerial vehicles (UAVs) have increased dramatically in the
past decade. Meanwhile, close-range UAV detection has been intriguing by many …
past decade. Meanwhile, close-range UAV detection has been intriguing by many …
Direction-finding for unmanned aerial vehicles using radio frequency methods
Nowadays, drones, also known as unmanned aerial vehicles (UAVs), are used for a wide
range of purposes in the civil, industrial, and military domains. The greater the number of …
range of purposes in the civil, industrial, and military domains. The greater the number of …
[PDF][PDF] Full state information transfer across adjacent cameras in a network using gauss helmert filters
R Yang, Y Bar-Shalom - J. Advan. Inform. Fus, 2022 - isif.org
As more and more cameras are used in surveillance systems, intensive research and
development works have been conducted on target detection and tracking using cameras …
development works have been conducted on target detection and tracking using cameras …
Minimizing the Ground Effect for Photophoretically Levitating Disks
Z Lu, M Stern, J Li, D Candia, L Yao-Bate… - Physical Review …, 2023 - APS
Photophoretic levitation is a propulsion mechanism by which lightweight objects can be
lifted and controlled through their interactions with light. Since photophoretic forces on …
lifted and controlled through their interactions with light. Since photophoretic forces on …