Title :
Maneuver-based autonomous navigation of a small fixed-wing UAV
Author :
Myung Hwangbo ; Kanade, Takeo
Author_Institution :
Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
An urban operation of unmanned aerial vehicles (UAVs) demands a high level of autonomy for tasks presented in a cluttered environment. While fixed-wing UAVs have been well suited for long-endurance missions at a high altitude, their navigation inside an urban area brings more challenges in motion planning and control. The inability to hover and low agility in motion cause more difficulties on planning a feasible path in a compact region, and a limited payload allows only low-grade sensors for state estimation and control.
Keywords :
Markov processes; autonomous aerial vehicles; cameras; mobile robots; motion control; path planning; robot vision; sensors; telerobotics; Markov decision process; air slalom task; camera field-of-view; cluttered environment; fixed-wing UAV; flight controllers; low-grade sensors; maneuver-based autonomous navigation; motion agility; motion control; motion planning; motion uncertainty; state control; state estimation; unmanned aerial vehicles; urban area; wing-span air- plane; Cameras; Logic gates; Planning; Trajectory; Uncertainty; Vehicle dynamics; Vehicles;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6631135