Navigation and Self-Semantic Location of Drones in Indoor Environments by Combining the Visual Bug Algorithm and Entropy-Based Vision

We introduce a hybrid algorithm for the self-semantic location and autonomous navigation of robots using entropy-based vision and visual topological maps. In visual topological maps the visual landmarks are considered as leave points for guiding the robot to reach a target point (robot homing) in in...

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Detalles Bibliográficos
Autores principales: Maravall, Darío, de Lope, Javier, Fuentes, Juan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581837/
https://www.ncbi.nlm.nih.gov/pubmed/28900394
http://dx.doi.org/10.3389/fnbot.2017.00046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581837/
https://www.ncbi.nlm.nih.gov/pubmed/28900394
http://dx.doi.org/10.3389/fnbot.2017.00046

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