Multiple-scenario unmanned aerial system control: A systems engineering approach and review of existing control methods
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 …
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
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 …
different areas together with technological developments. One of the unmanned systems is …
Any-angle path planning
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 …
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 …
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
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 …
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 …
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
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 …
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
Abstract Unmanned Aerial Vehicle (UAV)-based autonomous damage inspection has
become a promising technique to replace certain human-performed inspections due to both …
become a promising technique to replace certain human-performed inspections due to both …
Multi-objective optimization for drone delivery
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 …
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 …
Intelligence, Surveillance, and Reconnaissance (ISR) mission. On the basis of uncertainty …