UAV sensor data applications with deep neural networks: a comprehensive survey
Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …
recent years, leading to a surge in research on this topic that is widely represented in the …
Data collection optimization of ocean observation network based on AUV path planning and communication
Z Yan, Y Li - Ocean Engineering, 2023 - Elsevier
Abstract The Ocean Observation Network (OON) is an ocean science and engineering
observation platform which integrates underwater wireless sensors, acoustic buoys …
observation platform which integrates underwater wireless sensors, acoustic buoys …
Adaptive informative path planning using deep reinforcement learning for uav-based active sensing
Aerial robots are increasingly being utilized for environmental monitoring and exploration.
However, a key challenge is efficiently planning paths to maximize the information value of …
However, a key challenge is efficiently planning paths to maximize the information value of …
Survey on Path Planning for UAVs in Healthcare Missions
This article presents a comprehensive review of the state-of-the-art applications and
methodologies related to the use of unmanned aerial vehicles (UAVs) in the healthcare …
methodologies related to the use of unmanned aerial vehicles (UAVs) in the healthcare …
Bayesian optimization with output-weighted optimal sampling
A Blanchard, T Sapsis - Journal of Computational Physics, 2021 - Elsevier
In Bayesian optimization, accounting for the importance of the output relative to the input is a
crucial yet challenging exercise, as it can considerably improve the final result but often …
crucial yet challenging exercise, as it can considerably improve the final result but often …
An informative path planner for a swarm of asvs based on an enhanced pso with gaussian surrogate model components intended for water monitoring applications
MJT Kathen, IJ Flores, DG Reina - Electronics, 2021 - mdpi.com
Controlling the water quality of water supplies has always been a critical challenge, and
water resource monitoring has become a need in recent years. Manual monitoring is not …
water resource monitoring has become a need in recent years. Manual monitoring is not …
Informative path planning to estimate quantiles for environmental analysis
IMR Fernández, CE Denniston… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Scientists interested in studying natural phenomena often take physical specimens from
locations in the environment for later analysis. These analysis locations are typically …
locations in the environment for later analysis. These analysis locations are typically …
Multi-uav adaptive path planning using deep reinforcement learning
J Westheider, J Rückin… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Efficient aerial data collection is important in many remote sensing applications. In large-
scale monitoring scenarios, deploying a team of unmanned aerial vehicles (UAVs) offers …
scale monitoring scenarios, deploying a team of unmanned aerial vehicles (UAVs) offers …
Output-weighted sampling for multi-armed bandits with extreme payoffs
We present a new type of acquisition function for online decision-making in multi-armed and
contextual bandit problems with extreme payoffs. Specifically, we model the payoff function …
contextual bandit problems with extreme payoffs. Specifically, we model the payoff function …
Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression
TP Sapsis, A Blanchard - Philosophical Transactions of …, 2022 - royalsocietypublishing.org
We derive criteria for the selection of datapoints used for data-driven reduced-order
modelling and other areas of supervised learning based on Gaussian process regression …
modelling and other areas of supervised learning based on Gaussian process regression …