Implementation of an Edge-Computing Vision System on Reduced-Board Computers Embedded in UAVs for Intelligent Traffic Management
S Bemposta Rosende, S Ghisler, J Fernández-Andrés… - Drones, 2023 - mdpi.com
Advancements in autonomous driving have seen unprecedented improvement in recent
years. This work addresses the challenge of enhancing the navigation of autonomous …
years. This work addresses the challenge of enhancing the navigation of autonomous …
Improving autonomous nano-drones performance via automated end-to-end optimization and deployment of dnns
The evolution of energy-efficient ultra-low-power (ULP) parallel processors and the diffusion
of convolutional neural networks (CNNs) are fueling the advent of autonomous driving nano …
of convolutional neural networks (CNNs) are fueling the advent of autonomous driving nano …
Teaching uavs to race: End-to-end regression of agile controls in simulation
Automating the navigation of unmanned aerial vehicles (UAVs) indiverse scenarios has
gained much attention in recent years. However, teaching UAVs to fly in challenging …
gained much attention in recent years. However, teaching UAVs to fly in challenging …
DCNN-GA: A deep neural net architecture for navigation of UAV in indoor environment
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation,
agriculture, rescue operations, natural environment mapping, and many other allied …
agriculture, rescue operations, natural environment mapping, and many other allied …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Real time embedded system framework for autonomous drone racing using deep learning techniques
D racing is gaining popularity as one of the new sports. The improved performance of
avionics, FPV devices and quadrotor-type MAV makes it possible [1]. Furthermore …
avionics, FPV devices and quadrotor-type MAV makes it possible [1]. Furthermore …
Autosos: Towards multi-uav systems supporting maritime search and rescue with lightweight ai and edge computing
Rescue vessels are the main actors in maritime safety and rescue operations. At the same
time, aerial drones bring a significant advantage into this scenario. This paper presents the …
time, aerial drones bring a significant advantage into this scenario. This paper presents the …
Collision-free UAV navigation with a monocular camera using deep reinforcement learning
Y Chen, N González-Prelcic… - 2020 IEEE 30th …, 2020 - ieeexplore.ieee.org
Small unmanned aerial vehicles (UAV) with reduced sensing and communication
capabilities can support potential use cases in different indoor environments such as …
capabilities can support potential use cases in different indoor environments such as …
UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …
applications. The growing number of networked IoT devices generates a large amount of …
Closed-loop approach to perception in autonomous system
Currently, functional tasks within Autonomous Systems are balkanized into several sub-
systems such as object detection, tracking, motion planning, multi-sensor fusion etc. which …
systems such as object detection, tracking, motion planning, multi-sensor fusion etc. which …