Brain-inspired remote sensing interpretation: A comprehensive survey
Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …
Through research on brain science, the intelligence of remote sensing algorithms can be …
Review and simulation of counter-UAS sensors for unmanned traffic management
Noncollaborative surveillance of airborne UAS (Unmanned Aerial System) is a key enabler
to the safe integration of UAS within a UTM (Unmanned Traffic Management) ecosystem …
to the safe integration of UAS within a UTM (Unmanned Traffic Management) ecosystem …
Using deep learning in an embedded system for real-time target detection based on images from an unmanned aerial vehicle: Vehicle detection as a case study
F Huang, S Chen, Q Wang, Y Chen… - International Journal of …, 2023 - Taylor & Francis
For a majority of remote sensing applications of unmanned aerial vehicles (UAVs), the data
need to be downloaded to ground devices for processing, but this procedure cannot satisfy …
need to be downloaded to ground devices for processing, but this procedure cannot satisfy …
Application of image processing techniques for uav detection using deep learning and distance-wise analysis
V Dewangan, A Saxena, R Thakur, S Tripathi - Drones, 2023 - mdpi.com
Drones have many applications in our daily lives and can be employed for agricultural,
military, commercial, disaster relief, research and development, and many other purposes …
military, commercial, disaster relief, research and development, and many other purposes …
Parallel architecture for low latency UAV detection and tracking using robotic telescopes
D Ojdanić, C Naverschnigg, A Sinn… - … on Aerospace and …, 2024 - ieeexplore.ieee.org
This article presents the implementation of a multithreaded parallel architecture, which
enables telescope-based optical unmanned aerial vehicle (UAV) detection and tracking in …
enables telescope-based optical unmanned aerial vehicle (UAV) detection and tracking in …
[HTML][HTML] Fusion flow-enhanced graph pooling residual networks for unmanned aerial vehicles surveillance in day and night dual visions
Abstract Recognizing unauthorized Unmanned Aerial Vehicles (UAVs) within designated no-
fly zones throughout the day and night is of paramount importance, where the unauthorized …
fly zones throughout the day and night is of paramount importance, where the unauthorized …
Global-Local MAV Detection Under Challenging Conditions Based on Appearance and Motion
Visual detection of micro aerial vehicles (MAVs) has received increasing research attention
in recent years due to its importance in many applications. However, the existing …
in recent years due to its importance in many applications. However, the existing …
Joint Association, Deployment and Flight Trajectory Optimization for Multi-UAV-enabled Large-Scale Mobile Edge Computing
This work investigates how multiple unmanned aerial vehicles (UAVs) assist the large-scale
IoT devices (its count 100) in the edge computing system in accomplishing their tasks. The …
IoT devices (its count 100) in the edge computing system in accomplishing their tasks. The …
Towards robust lidar-based 3D detection and tracking of UAVs
In this paper, we study the robustness of lidar-based 3D detection & tracking of UAVs. We
investigate the effective detection ranges of different UAVs based on their construction …
investigate the effective detection ranges of different UAVs based on their construction …
Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds
Compact UAV systems, while advancing delivery and surveillance, pose significant security
challenges due to their small size, which hinders detection by traditional methods. This …
challenges due to their small size, which hinders detection by traditional methods. This …