[HTML][HTML] Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
Uavnet: an efficient obstacel detection model for uav with autonomous flight
PH Chen, CY Lee - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is straight-forward to
implement, just employ expensive and sophisticated sensors and monitoring devices. On …
implement, just employ expensive and sophisticated sensors and monitoring devices. On …
[HTML][HTML] A review on IoT deep learning UAV systems for autonomous obstacle detection and collision avoidance
Advances in Unmanned Aerial Vehicles (UAVs), also known as drones, offer unprecedented
opportunities to boost a wide array of large-scale Internet of Things (IoT) applications …
opportunities to boost a wide array of large-scale Internet of Things (IoT) applications …
Deep-learning based autonomous-exploration for UAV navigation
Abstract Unmanned Aerial Vehicles (UAVs), functioning as aerial robots, undertake
multifarious missions within intricate and uncharted environments, necessitating …
multifarious missions within intricate and uncharted environments, necessitating …
Edge-Cloud Collaborative UAV Object Detection: Edge-Embedded Lightweight Algorithm Design and Task Offloading Using Fuzzy Neural Network
Y Yuan, S Gao, Z Zhang, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of artificial intelligence and Unmanned Aerial Vehicle (UAV)
technology, AI-based UAVs are increasingly utilized in various industrial and civilian …
technology, AI-based UAVs are increasingly utilized in various industrial and civilian …
UAV sensor data applications with deep neural networks: a comprehensive survey
Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …
recent years, leading to a surge in research on this topic that is widely represented in the …
An optimization framework for efficient vision-based autonomous drone navigation
Fully autonomous drones are a new emerging field that has enabled many applications
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …
An efficient artificial intelligence framework for UAV systems
The recent breakthrough of artificial intelligence (AI) in many fields has recently shown its
impact on drone technology as well. However, most of the provided solutions either entirely …
impact on drone technology as well. However, most of the provided solutions either entirely …
Toward real-world implementation of deep reinforcement learning for vision-based autonomous drone navigation with mission
Though high fidelity simulators for drones and other aerial vehicles look exceptionally
realistic, using simulators to train control policies and then transferring them to the real world …
realistic, using simulators to train control policies and then transferring them to the real world …
AI-enabled object detection in UAVs: challenges, design choices, and research directions
Unmanned aerial vehicles (UAVs) are emerging as a powerful tool for various industrial and
smart city applications. UAVs coupled with various sensors can perform many cognitive …
smart city applications. UAVs coupled with various sensors can perform many cognitive …