Trajectory planning for communication relay unmanned aerial vehicles in urban dynamic environments

This paper proposes an optimal positioning and trajectory planning algorithm for unmanned aerial vehicles (UAVs) to improve a communication quality of a team of ground mobile nodes (vehicles) in a complex urban environment. In particular, a nonlinear model predictive control (NMPC)-based approach is...

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Bibliographic Details
Main Authors: Pawel Ladosz, Hyondong Oh, Wen-Hua Chen
Format: Default Article
Published: 2017
Subjects:
Other engineering not elsewhere classified
Artificial intelligence not elsewhere classified
Airborne communication relay
Genetic algorithm
Kinematic constraints
Nonlinear model predictive control
Unmanned aerial vehicles
Urban environment
Artificial Intelligence and Image Processing
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/24018
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