Using collision cones to assess biological deconfliction methods

Biological systems consistently outperform autonomous systems governed by engineered algorithms in their ability to reactively avoid collisions. To better understand this discrepancy, a collision avoidance algorithm was applied to frames of digitized video trajectory data from bats, swallows and fis...

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Detalles Bibliográficos
Autores principales: Brace, Natalie L., Hedrick, Tyson L., Theriault, Diane H., Fuller, Nathan W., Wu, Zheng, Betke, Margrit, Parrish, Julia K., Grünbaum, Daniel, Morgansen, Kristi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Life Sciences–Engineering interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046949/
https://www.ncbi.nlm.nih.gov/pubmed/27655669
http://dx.doi.org/10.1098/rsif.2016.0502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046949/
https://www.ncbi.nlm.nih.gov/pubmed/27655669
http://dx.doi.org/10.1098/rsif.2016.0502

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