E2edgeai: Energy-efficient edge computing for deployment of vision-based dnns on autonomous tiny drones
Artificial Intelligence (AI) and Deep Neural Networks (DNNs) have attracted attention as a
solution within autonomous systems fields as they enable applications such as visual …
solution within autonomous systems fields as they enable applications such as visual …
Towards efficient on-board deployment of DNNS on intelligent autonomous systems
A Kouris, SI Venieris… - 2019 IEEE Computer …, 2019 - ieeexplore.ieee.org
With their unprecedented performance in major AI tasks, deep neural networks (DNNs) have
emerged as a primary building block in modern autonomous systems. Intelligent systems …
emerged as a primary building block in modern autonomous systems. Intelligent systems …
Democratizing Drone Autonomy via Edge Computing
Fully autonomous flight by low-cost, lightweight commercial off-the-shelf (COTS) drones
could transform many use cases involving real-time computer vision. We show how such …
could transform many use cases involving real-time computer vision. We show how such …
Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs
Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …
and complex environments, are becoming increasingly common. Deep learning techniques …
AdaDrone: Quality of navigation based neural adaptive scheduling for edge-assisted drones
Accurate navigation is of paramount importance to ensure flight safety and efficiency for
autonomous drones. Recent research starts to use Deep Neural Networks (DNN) to …
autonomous drones. Recent research starts to use Deep Neural Networks (DNN) to …
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 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 …
A 64-mw dnn-based visual navigation engine for autonomous nano-drones
Fully miniaturized robots (eg, drones), with artificial intelligence (AI)-based visual navigation
capabilities, are extremely challenging drivers of Internet-of-Things edge intelligence …
capabilities, are extremely challenging drivers of Internet-of-Things edge intelligence …
Fitnn: A low-resource fpga-based cnn accelerator for drones
Z Zhang, MAP Mahmud… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Executing deep neural networks (DNNs) on resource-constraint edge devices, such as
drones, offers low inference latency, high data privacy, and reduced network traffic …
drones, offers low inference latency, high data privacy, and reduced network traffic …
Edge intelligence: Challenges and opportunities of near-sensor machine learning applications
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …
range from basic sensor nodes that log and report the data for cloud processing, to the ones …