Bayesian real-time perception algorithms on GPU

@article{Ferreira2010BayesianRP,
  title={Bayesian real-time perception algorithms on GPU},
  author={Jo{\~a}o Filipe Ferreira and Jorge Lobo and Jorge Dias},
  journal={Journal of Real-Time Image Processing},
  year={2010},
  volume={6},
  pages={171-186}
}
In this text we present the real-time implementation of a Bayesian framework for robotic multisensory perception on a graphics processing unit (GPU) using the Compute Unified Device Architecture (CUDA). As an additional objective, we intend to show the benefits of parallel computing for similar problems (i.e. probabilistic grid-based frameworks), and the user-friendly nature of CUDA as a programming tool. Inspired by the study of biological systems, several Bayesian inference algorithms for… CONTINUE READING
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