Dynamic Obstacle Avoidance Using Bayesian Occupancy Filter and Approximate Inference

The goal of this paper is to solve the problem of dynamic obstacle avoidance for a mobile platform by using the stochastic optimal control framework to compute paths that are optimal in terms of safety and energy efficiency under constraints. We propose a three-dimensional extension of the Bayesian...

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Detalles Bibliográficos
Autores principales: Llamazares, Ángel, Ivan, Vladimir, Molinos, Eduardo, Ocaña, Manuel, Vijayakumar, Sethu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658723/
https://www.ncbi.nlm.nih.gov/pubmed/23529117
http://dx.doi.org/10.3390/s130302929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658723/
https://www.ncbi.nlm.nih.gov/pubmed/23529117
http://dx.doi.org/10.3390/s130302929

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