Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
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 …
NanoSLAM: Enabling fully onboard slam for tiny robots
Perceiving and mapping the surroundings are essential for autonomous navigation in any
robotic platform. The algorithm class that enables accurate mapping while correcting the …
robotic platform. The algorithm class that enables accurate mapping while correcting the …
A sim-to-real deep learning-based framework for autonomous nano-drone racing
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles'
perception, planning, and control skills. The recent emergence of autonomous nano-sized …
perception, planning, and control skills. The recent emergence of autonomous nano-sized …
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 …
GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones
The evolution of AI and digital signal processing technologies, combined with affordable
energy-efficient processors, has propelled the development of both hardware and software …
energy-efficient processors, has propelled the development of both hardware and software …
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
Smart farming and precision agriculture represent game-changer technologies for efficient
and sustainable agribusiness. Miniaturized palm-sized drones can act as flexible smart …
and sustainable agribusiness. Miniaturized palm-sized drones can act as flexible smart …
Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones
P Arias-Perez, A Gautam… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Recent advances have improved autonomous navigation and mapping under payload
constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones …
constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones …
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration
This work presents a multi-sensory anti-collision system design to achieve robust
autonomous exploration capabilities for a swarm of 10cm-side nano-drones operating on …
autonomous exploration capabilities for a swarm of 10cm-side nano-drones operating on …
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles'
perception, planning, and control skills. The recent emergence of autonomous nano-sized …
perception, planning, and control skills. The recent emergence of autonomous nano-sized …