The interest of both the academics and industrials for the UASs (Uninhabited Aerial Systems) has been significantly growing for the last ten years. Technological developments in their design are opening the way for their exploitation in a wide range of applications. Nevertheless, the expected benefits are not yet fully exploited due to the still significant number of accidents. Several researches have demonstrated that the absence of vehicle decisional capacity is among the most important causes of such accidents. One of the proposed solutions is to increase the vehicle ability to perform autonomous mission planning. In this paper a planning algorithm for UASs mission is presented. Such algorithm has been designed following an heuristic app...
This thesis is a contribution to the Unmanned Aerial Vehicle (UAV) project at the Department of Engi...
Small Uninhabited Aerial Vehicles that are to be operated at low altitude in obstacle prone environ...
This dissertation explores optimal path planning techniques for safe navigation of autonomous air ve...
The interest of both the academics and industrials for the UASs (Uninhabited Aerial Systems) has bee...
The feasibility and survivability of Unmanned Air Vehicles (UAV's) in field applications have been d...
International audiencePath planning and obstacle avoidance form the basis of the UAV operations. The...
Recently, interest in mission autonomy related to Unmanned Combat Aerial Vehicles(UCAVs) for perform...
Much of the benefits of deploying unmanned aerial vehicles can be derived from autonomous missions. ...
Unmanned Aerial Vehicles (UAVs) are recently focused with significant research attention from commer...
The use of Unmanned Aerial Vehicles (UAVs) for indoor operation is rising in demand with application...
C.K. Lai, M.M. Mone, Peter R. Thomas, J. Whidborne, A.K. Cooke, ‘On-Board Trajectory Generation for ...
The use of UAS (Uninhabited Aerial System) in civil missions addresses quite a number of questions r...
Autonomous multirotor aerial vehicles have great potential to address and optimize solutions for man...
UAV (Unmanned Aerial Vehicles) are becoming increasingly popular as being capable in performing a wi...
Abstract: Planning function is essential for increasing the autonomy of aerial systems. This paper p...
This thesis is a contribution to the Unmanned Aerial Vehicle (UAV) project at the Department of Engi...
Small Uninhabited Aerial Vehicles that are to be operated at low altitude in obstacle prone environ...
This dissertation explores optimal path planning techniques for safe navigation of autonomous air ve...
The interest of both the academics and industrials for the UASs (Uninhabited Aerial Systems) has bee...
The feasibility and survivability of Unmanned Air Vehicles (UAV's) in field applications have been d...
International audiencePath planning and obstacle avoidance form the basis of the UAV operations. The...
Recently, interest in mission autonomy related to Unmanned Combat Aerial Vehicles(UCAVs) for perform...
Much of the benefits of deploying unmanned aerial vehicles can be derived from autonomous missions. ...
Unmanned Aerial Vehicles (UAVs) are recently focused with significant research attention from commer...
The use of Unmanned Aerial Vehicles (UAVs) for indoor operation is rising in demand with application...
C.K. Lai, M.M. Mone, Peter R. Thomas, J. Whidborne, A.K. Cooke, ‘On-Board Trajectory Generation for ...
The use of UAS (Uninhabited Aerial System) in civil missions addresses quite a number of questions r...
Autonomous multirotor aerial vehicles have great potential to address and optimize solutions for man...
UAV (Unmanned Aerial Vehicles) are becoming increasingly popular as being capable in performing a wi...
Abstract: Planning function is essential for increasing the autonomy of aerial systems. This paper p...
This thesis is a contribution to the Unmanned Aerial Vehicle (UAV) project at the Department of Engi...
Small Uninhabited Aerial Vehicles that are to be operated at low altitude in obstacle prone environ...
This dissertation explores optimal path planning techniques for safe navigation of autonomous air ve...