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 …
Deep reinforcement learning driven UAV-assisted edge computing
Unmanned aerial vehicles (UAVs) are playing a critical role in provisioning instant
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …
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 …
Autonomous navigation via deep reinforcement learning for resource constraint edge nodes using transfer learning
A Anwar, A Raychowdhury - IEEE Access, 2020 - ieeexplore.ieee.org
Smart and agile drones are fast becoming ubiquitous at the edge of the cloud. The usage of
these drones is constrained by their limited power and compute capability. In this paper, we …
these drones is constrained by their limited power and compute capability. In this paper, we …
Energy-efficient inference on the edge exploiting TinyML capabilities for UAVs
In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …
A review of deep learning methods and applications for unmanned aerial vehicles
Deep learning is recently showing outstanding results for solving a wide variety of robotic
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
Vision-based UAV safe landing exploiting lightweight deep neural networks
Recent advances in artificial intelligence, control and sensing technologies have facilitated
the development of autonomous Unmanned Aerial Vehicles (UAVs, or drones) able to self …
the development of autonomous Unmanned Aerial Vehicles (UAVs, or drones) able to self …
Bio-inspired autonomous exploration policies with cnn-based object detection on nano-drones
Nano-sized drones, with palm-sized form factor, are gaining relevance in the Internet-of-
Things ecosystem. Achieving a high degree of autonomy for complex multi-objective …
Things ecosystem. Achieving a high degree of autonomy for complex multi-objective …
An open source and open hardware deep learning-powered visual navigation engine for autonomous nano-UAVs
Nano-size unmanned aerial vehicles (UAVs), with few centimeters of diameter and sub-10
Watts of total power budget, have so far been considered incapable of running sophisticated …
Watts of total power budget, have so far been considered incapable of running sophisticated …
Dronet: Learning to fly by driving
A Loquercio, AI Maqueda… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
Civilian drones are soon expected to be used in a wide variety of tasks, such as aerial
surveillance, delivery, or monitoring of existing architectures. Nevertheless, their deployment …
surveillance, delivery, or monitoring of existing architectures. Nevertheless, their deployment …