We construct an optimization model that assists commanders, operators, and planners to effectively deploy and employ unmanned aerial vehicles (UAVs) in special operations missions. Specifically, we consider situations where targets (e.g., insurgents) enter a region of interest and a small special operations team is assigned to search and detect these targets. The special operations team is equipped with short-range surveillance UAVs. We combine intelligence regarding the targets with availability and capability of UAVs in an integer linear programming model. The goal is to detect the largest possible number of targets with the given resources. The model prescribes optimal deployment locations for the ground units and optimal time-phased sea...
We consider a mission in which m UAVs with a capacity limit q each visit n(les mq) targets in a host...
Two or three dimensional mission plans for a single or a group of hover or fixed wing UAVs are gener...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.In...
We construct an optimization model that assists commanders, operators, and planners to effectively d...
We formulate the mission planning problem for a meet of unmanned aerial vehicles (UAVs) as a mixed-i...
Abstract—We consider a mission in which UAVs with a capacity limit each visit ( ) targets in a hosti...
In this thesis, different solutions for autonomous mission planning and execution aimed at Unmanned ...
This paper proposes a new evolutionary planner to determine the trajectories of several Unmanned Aer...
In the event of a maritime accident, surveying the maximum area efficiently in the least amount of t...
In this paper, an approach based on linear programming (LP) is proposed for path planning in three-d...
This paper presents an approach to trajectories optimization for Unmanned Aerial Vehicle (UAV) in pr...
The paper describes an optimization-based tool for selecting routes that will best employ unmanned a...
We consider a mission in which m UAVs with a capacity limit q each visit n(≤mq) targets in a hostile...
Target search in an obstacle filled environment is a practically relevant challenge in robotics that...
The problem of designing effective systems to prevent risks and hazards caused by drones in critical...
We consider a mission in which m UAVs with a capacity limit q each visit n(les mq) targets in a host...
Two or three dimensional mission plans for a single or a group of hover or fixed wing UAVs are gener...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.In...
We construct an optimization model that assists commanders, operators, and planners to effectively d...
We formulate the mission planning problem for a meet of unmanned aerial vehicles (UAVs) as a mixed-i...
Abstract—We consider a mission in which UAVs with a capacity limit each visit ( ) targets in a hosti...
In this thesis, different solutions for autonomous mission planning and execution aimed at Unmanned ...
This paper proposes a new evolutionary planner to determine the trajectories of several Unmanned Aer...
In the event of a maritime accident, surveying the maximum area efficiently in the least amount of t...
In this paper, an approach based on linear programming (LP) is proposed for path planning in three-d...
This paper presents an approach to trajectories optimization for Unmanned Aerial Vehicle (UAV) in pr...
The paper describes an optimization-based tool for selecting routes that will best employ unmanned a...
We consider a mission in which m UAVs with a capacity limit q each visit n(≤mq) targets in a hostile...
Target search in an obstacle filled environment is a practically relevant challenge in robotics that...
The problem of designing effective systems to prevent risks and hazards caused by drones in critical...
We consider a mission in which m UAVs with a capacity limit q each visit n(les mq) targets in a host...
Two or three dimensional mission plans for a single or a group of hover or fixed wing UAVs are gener...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.In...