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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on evolutionary computation Ročník 17; číslo 2; s. 272 - 281
Hlavní autoři:	Kok, J., Gonzalez, L. F., Kelson, N.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.04.2013 Institute of Electrical and Electronics Engineers
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!