A High-Fidelity Energy Efficient Path Planner for Unmanned Airships
AbstractThis paper presents a comparative study on the effects of grid resolution, vehicle velocity, and wind vector fields on the trajectory planning of unmanned airships. A wavefront expansion trajectory planner that minimizes a multi-objective cost function consisting of flight time, energy consumption, and collision avoidance while respecting the differential constraints of the vehicle is presented. Trajectories are generated using a variety of test environments and flight conditions to demonstrate that the inclusion of a high terrain map resolution, a temporal vehicle velocity, and a spatial wind vector field yields significant improvements in trajectory feasibility and energy economy when compared to trajectories generated using only two of these three elements. View Full-Text
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Recoskie, S.; Lanteigne, E.; Gueaieb, W. A High-Fidelity Energy Efficient Path Planner for Unmanned Airships. Robotics 2017, 6, 28.
Recoskie S, Lanteigne E, Gueaieb W. A High-Fidelity Energy Efficient Path Planner for Unmanned Airships. Robotics. 2017; 6(4):28.Chicago/Turabian Style
Recoskie, Steven; Lanteigne, Eric; Gueaieb, Wail. 2017. "A High-Fidelity Energy Efficient Path Planner for Unmanned Airships." Robotics 6, no. 4: 28.
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