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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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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Molecular Diversity Preservation International (MDPI)
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3658723/ https://ncbi.nlm.nih.gov/pubmed/23529117 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s130302929 |
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