Heuristic-driven strategy for boosting aerial photography with multi-UAV-aided Internet-of-Things platforms
Abstract Unmanned Aerial Vehicles (UAVs) are gaining much attractiveness due to the
emerging 5G, Internet of things applications and the advances in artificial intelligence. Their …
emerging 5G, Internet of things applications and the advances in artificial intelligence. Their …
ADFPA–A Deep Reinforcement Learning-based Flow Priority Allocation Scheme for Throughput Optimization in FANETs
Flying ad hoc networks (FANETs) are easy to deploy and cost-efficient, however they are
limited by the static protocols used in 802.11 and CSMA-based networks to support high …
limited by the static protocols used in 802.11 and CSMA-based networks to support high …
Improving the Model for Person Detection in Aerial Image Sequences Using the Displacement Vector: A Search and Rescue Scenario
Recent results in person detection using deep learning methods applied to aerial images
gathered by Unmanned Aerial Vehicles (UAVs) have demonstrated the applicability of this …
gathered by Unmanned Aerial Vehicles (UAVs) have demonstrated the applicability of this …
Streamlined hybrid annotation framework using scalable codestream for bandwidth-restricted uav object detection
Emergency response missions depend on the fast relay of visual information, a task to which
unmanned aerial vehicles are well adapted. However, the effective use of unmanned aerial …
unmanned aerial vehicles are well adapted. However, the effective use of unmanned aerial …
Shape-Dependent Dynamic Label Assignment for Oriented Remote Sensing Object Detection
X Zhang, Y Wu, G Zhang, Y Yuan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Oriented remote sensing object detection (ORSOD) has gained increasing significance in
both military and civilian applications due to the necessity of accurately identifying objects …
both military and civilian applications due to the necessity of accurately identifying objects …
Person Mobility Algorithm and Geographic Information System for Search and Rescue Missions Planning
V Papić, AŠ Gudelj, A Milan, M Miličević - Remote sensing, 2024 - mdpi.com
In search and rescue (SAR) operations, up-to-date information on the terrain is critical
because every additional hour required to search for a person reduces the likelihood of …
because every additional hour required to search for a person reduces the likelihood of …
Collaborative Human Recognition with Lightweight Models in Drone-based Search and Rescue Operations
L Xu, Q Yang, M Qin, W Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the flexibility of drones, it is promising to use them in Search and Rescue (SAR)
operations for intelligently searching for lost humans over large areas. However, the limited …
operations for intelligently searching for lost humans over large areas. However, the limited …
Machine Learning Methods for Multi-UAV Network Throughput Prediction
A communication system that can proactively react to dynamic channel conditions is an
essential characteristic of future mobile edge networks. In any anticipatory networking …
essential characteristic of future mobile edge networks. In any anticipatory networking …
Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum
The emerging edge-hub-cloud paradigm has enabled the development of innovative latency-
critical cyber-physical applications in the edge-cloud continuum. However, this paradigm …
critical cyber-physical applications in the edge-cloud continuum. However, this paradigm …
Analysis of Propagation Characteristics in Unmanned Aerial Vehicle (UAV) System.
Abstract Unmanned Aerial Vehicle (UAV) has gained great attention to the spread of
communication in civilian and military applications. UAV communication channel has its own …
communication in civilian and military applications. UAV communication channel has its own …