[HTML][HTML] UAV in the advent of the twenties: Where we stand and what is next
Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …
making them popular instruments for a wide range of applications, and leading to a …
Eyes in the sky: drones applications in the built environment under climate change challenges
N Bayomi, JE Fernandez - Drones, 2023 - mdpi.com
This paper reviews the diverse applications of drone technologies in the built environment
and their role in climate change research. Drones, or unmanned aerial vehicles (UAVs) …
and their role in climate change research. Drones, or unmanned aerial vehicles (UAVs) …
Towards real-time monocular depth estimation for robotics: A survey
As an essential component for many autonomous driving and robotic activities such as ego-
motion estimation, obstacle avoidance and scene understanding, monocular depth …
motion estimation, obstacle avoidance and scene understanding, monocular depth …
Memory-based deep reinforcement learning for obstacle avoidance in UAV with limited environment knowledge
A Singla, S Padakandla… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular
camera, to autonomously avoid collisions with obstacles in unstructured and unknown …
camera, to autonomously avoid collisions with obstacles in unstructured and unknown …
CNN-based dense monocular visual SLAM for real-time UAV exploration in emergency conditions
A Steenbeek, F Nex - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) for 3D indoor mapping applications are often equipped
with bulky and expensive sensors, such as LIDAR (Light Detection and Ranging) or depth …
with bulky and expensive sensors, such as LIDAR (Light Detection and Ranging) or depth …
A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection
In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …
for countless applications in nearly every industry, in which collision avoidance plays a vital …
[HTML][HTML] A review of UAV autonomous navigation in GPS-denied environments
Unmanned aerial vehicles (UAVs) have drawn increased research interest in recent years,
leading to a vast number of applications, such as, terrain exploration, disaster assistance …
leading to a vast number of applications, such as, terrain exploration, disaster assistance …
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring
Waterline detection from images taken by cameras mounted on low-cost autonomous
surface vehicles (ASVs) is a key process for obtaining a fast obstacle detection. Achieving …
surface vehicles (ASVs) is a key process for obtaining a fast obstacle detection. Achieving …
Automatic obstacle avoidance of quadrotor UAV via CNN-based learning
In this paper, a CNN-based learning scheme is proposed to enable a quadrotor unmanned
aerial vehicle (UAV) to avoid obstacles automatically in unknown and unstructured …
aerial vehicle (UAV) to avoid obstacles automatically in unknown and unstructured …
Learning to fly by myself: A self-supervised cnn-based approach for autonomous navigation
A Kouris, CS Bouganis - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
Nowadays, Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular facilitated
by their extensive availability. Autonomous navigation methods can act as an enabler for the …
by their extensive availability. Autonomous navigation methods can act as an enabler for the …