FPGA Implementation of an Evolutionary Algorithm for Autonomous Unmanned Aerial Vehicle On-Board Path Planning

In this paper, a hardware-based path planning architecture for unmanned aerial vehicle (UAV) adaptation is proposed. The architecture aims to provide UAVs with higher autonomy using an application-specific evolutionary algorithm (EA) implemented entirely on a field-programmable gate array (FPGA) chi...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 17; H. 2; S. 272 - 281
Hauptverfasser:	Kok, J., Gonzalez, L. F., Kelson, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.04.2013 Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Biological cells Computer architecture Computer science; control theory; systems Control theory. Systems Convergence Evolutionary algorithm (EA) Exact sciences and technology Field programmable gate arrays field-programmable gate array (FPGA) Genetic algorithms Hardware Learning and adaptive systems Path planning Robotics Theoretical computing unmanned aerial vehicle (UAV) Energy consumption unmanned aerial vehicle (UAV) Helicopter Process planning Evolutionary algorithm (EA) Evolutionary algorithm Updating Field programmable gate array Path planning Autopilot Low power field-programmable gate array (FPGA) Circuit architecture Unmanned aerial vehicle Optimal trajectory Convergence rate Autonomy Numerical convergence
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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