Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers
Abstract Enabling On-Device Learning (ODL) for Ultra-Low-Power Micro-Controller Units
(MCUs) is a key step for post-deployment adaptation and fine-tuning of Deep Neural …
(MCUs) is a key step for post-deployment adaptation and fine-tuning of Deep Neural …
Tinytracker: Ultra-fast and ultra-low-power edge vision in-sensor for gaze estimation
Intelligent edge vision tasks encounter the critical challenge of ensuring power and latency
efficiency due to the typically heavy computational load they impose on edge platforms. This …
efficiency due to the typically heavy computational load they impose on edge platforms. This …
Stargate: Multimodal Sensor Fusion for Autonomous Navigation On Miniaturized UAVs
Autonomously navigating robots need to perceive and interpret their surroundings.
Currently, cameras are among the most used sensors due to their high resolution and frame …
Currently, cameras are among the most used sensors due to their high resolution and frame …
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 …
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 …
Deep neural network architecture search for accurate visual pose estimation aboard nano-uavs
Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending
topic. With their form factor as big as the palm of one hand, they can reach spots otherwise …
topic. With their form factor as big as the palm of one hand, they can reach spots otherwise …
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 …
scenarios prevented to bigger flying drones, such as in narrow environments and close to …
Colibriuav: An ultra-fast, energy-efficient neuromorphic edge processing uav-platform with event-based and frame-based cameras
The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is
raising, especially due to the microsecond-level reaction time of the bio-inspired event …
raising, especially due to the microsecond-level reaction time of the bio-inspired event …
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 …
(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 …
Things smart sensors to collect information in narrow spaces. This requires ultrafast …