Adaptive deep learning for efficient visual pose estimation aboard ultra-low-power nano-drones

BA Motetti, L Crupi, MOME Elshaigi… - … , Automation & Test …, 2024 - ieeexplore.ieee.org
Sub-10cm diameter nano-drones are gaining momentum thanks to their applicability in
scenarios prevented to bigger flying drones, such as in narrow environments and close to …

A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation

L Valente, A Nadalini, AHC Veeran… - … on Circuits and …, 2024 - ieeexplore.ieee.org
The rapid advancement of energy-efficient parallel ultra-low-power (ULP) controllers units
(MCUs) is enabling the development of autonomous nano-sized unmanned aerial vehicles …

Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs

L Lamberti, L Bellone, L Macan… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-
Things smart sensors to collect information in narrow spaces. This requires ultrafast …

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones

M Risso, F Daghero, BA Motetti, DJ Pagliari… - arXiv preprint arXiv …, 2024 - arxiv.org
Miniaturized autonomous unmanned aerial vehicles (UAVs) are gaining popularity due to
their small size, enabling new tasks such as indoor navigation or people monitoring …

MRCNet: Multi-Level Residual Connectivity Network for Image Classification

M Ye, Z Chen, Y Guo, K Yu, L Liu - International Journal of Image …, 2023 - World Scientific
Computer vision obtains object and environment information by simulating human visual
senses and borrowing human sensory activity. As one of the main tasks of computer vision …

Adaptive Deep Neural Networks for Human Pose Estimation on Autonomous Nano-Drones

M Omer Mohammed Elamin Elshaigi - 2023 - webthesis.biblio.polito.it
Fully autonomous nano-scale unmanned aerial vehicles (UAVs), due to their tiny form factor
and compact size, are particularly suitable for indoor applications that require safe …