R Bailon-Ruiz, S Lacroix - 2020 international conference on …, 2020 - ieeexplore.ieee.org
This article analyses the state of the art on wildfire remote sensing using UAVs, an application context that has now gained significant interest. It reviews a selection of relevant …
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been commissioned by researchers to enable accurate, online wildfire coverage and tracking …
L Collins, P Ghassemi, ET Esfahani… - … on Robotics and …, 2021 - ieeexplore.ieee.org
This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …
Ecosystem complexity is among the important drivers of biodiversity and ecosystem functioning, and unmanned aerial systems (UASs) are becoming an important tool for …
X Huang, M Sun, H Zhou, S Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Many scholars have proposed different single-robot coverage path planning (SCPP) and multi-robot coverage path planning (MCPP) algorithms to solve the coverage path planning …
Considerable attention has been given to leverage a variety of smart city applications using unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower …
This paper describes a bioinspired neural-network-based approach to solve a coverage planning problem for a fleet of unmanned aerial vehicles exploring critical areas. The main …
Deploying Unmanned Aircraft Systems (UAS) in safety-and business-critical operations requires demonstrating compliance with applicable regulations and a comprehensive …
Efficient path planning optimization strategies are required to maximize flying time while consuming the least energy. This research offers a novel approach for energy-efficient path …