Orientation diversity for an autonomous underwater vehicle cluster
Journal articles
Smith, SM; Krolik, J
Published in: Oceans 2006
January 1, 2006
This paper presents a novel theory for the generation of vehicle heading sequences that simultaneously ensures orientation diversity both between vehicles and along a given vehicle's path, while at the same time bounding the cluster divergence, and translating the cluster. The theory is based on periodic sequences of polygonal paths. The paper presents the basic theory including performance functions for rating and ranking the "optimality" of different sequences. The paper also presents novel algorithms for generating "optimal" path sequences for any size cluster as well as simulation results of these algorithms. ©2006 IEEE.
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Published In
Oceans 2006
DOI
EISSN
0197-7385
Publication Date
January 1, 2006
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Smith, S. M., & Krolik, J. (2006). Orientation diversity for an autonomous underwater vehicle cluster. Oceans 2006. https://doi.org/10.1109/OCEANS.2006.306974
Smith, S. M., and J. Krolik. “Orientation diversity for an autonomous underwater vehicle cluster.” Oceans 2006, January 1, 2006. https://doi.org/10.1109/OCEANS.2006.306974.
Smith SM, Krolik J. Orientation diversity for an autonomous underwater vehicle cluster. Oceans 2006. 2006 Jan 1;
Smith, S. M., and J. Krolik. “Orientation diversity for an autonomous underwater vehicle cluster.” Oceans 2006, Jan. 2006. Scopus, doi:10.1109/OCEANS.2006.306974.
Smith SM, Krolik J. Orientation diversity for an autonomous underwater vehicle cluster. Oceans 2006. 2006 Jan 1;
Published In
Oceans 2006
DOI
EISSN
0197-7385
Publication Date
January 1, 2006