Multiple-scenario unmanned aerial system control: A systems engineering approach and review of existing control methods

CM Eaton, EKP Chong, AA Maciejewski - Aerospace, 2016 - mdpi.com
The use of unmanned aerial systems (UASs) in both the public and military environments is
predicted to grow significantly. As the demand for UASs grows, the availability of more …

Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision‐Making for Defence

M Hamurcu, T Eren - Journal of Mathematics, 2020 - Wiley Online Library
The unmanned systems have been seeing a significant boom in the last ten years in
different areas together with technological developments. One of the unmanned systems is …

Any-angle path planning

A Nash, S Koenig - AI Magazine, 2013 - ojs.aaai.org
In robotics and video games, one often discretizes continuous terrain into a grid with blocked
and unblocked grid cells and then uses path-planning algorithms to find a shortest path on …

Optimal path planning of solar-powered UAV using gravitational potential energy

JS Lee, KH Yu - IEEE Transactions on Aerospace and …, 2017 - ieeexplore.ieee.org
In conditions with limited power, such as when constrained by the solar-cell efficiency and/or
with reduced solar radiation, it is necessary to efficiently manage the flight energy to ensure …

Simultaneous sensor selection and routing of unmanned aerial vehicles for complex mission plans

F Mufalli, R Batta, R Nagi - Computers & Operations Research, 2012 - Elsevier
Military reconnaissance missions often employ a set of unmanned aerial vehicles (UAVs)
equipped with sensors to gather intelligence information from a set of known targets. UAVs …

Dimensionality reduction in multiobjective shortest path search

FJ Pulido, L Mandow, JL Pérez-de-la-Cruz - Computers & Operations …, 2015 - Elsevier
One-to-one multiobjective search in graphs deals with the problem of finding all Pareto-
optimal solution paths between given start and goal nodes according to a number of distinct …

Multi-objective four-dimensional vehicle motion planning in large dynamic environments

PPY Wu, D Campbell, T Merz - IEEE Transactions on Systems …, 2010 - ieeexplore.ieee.org
This paper presents Multi-Step A*(MSA*), a search algorithm based on A* for multi-objective
4-D vehicle motion planning (three spatial and one time dimensions). The research is …

Bayes risk-based mission planning of unmanned aerial vehicles for autonomous damage inspection

J Zeng, Z Wu, MD Todd, Z Hu - Mechanical Systems and Signal Processing, 2023 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV)-based autonomous damage inspection has
become a promising technique to replace certain human-performed inspections due to both …

Multi-objective optimization for drone delivery

S Sawadsitang, D Niyato, PS Tan… - 2019 IEEE 90th …, 2019 - ieeexplore.ieee.org
Recently, an unmanned aerial vehicle (UAV), as known as drone, has become an
alternative means of package delivery. Although the drone delivery scheduling has been …

Uncertain UAV ISR mission planning problem with multiple correlated objectives

Z Wang, M Zheng, J Guo… - Journal of Intelligent & …, 2017 - content.iospress.com
Abstract Unmanned Aerial Vehicle (UAV) is very useful for information gathering in
Intelligence, Surveillance, and Reconnaissance (ISR) mission. On the basis of uncertainty …