Accelerating Particle Filter on FPGA
| Autor: | Carles Ferrer, B. G. Sileshi, J. Oliver |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science 02 engineering and technology Simultaneous localization and mapping Reconfigurable computing Programmable logic array Acceleration Nonlinear system Range (mathematics) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Electronic engineering 020201 artificial intelligence & image processing Particle filter Field-programmable gate array |
| Zdroj: | ISVLSI |
| DOI: | 10.1109/isvlsi.2016.66 |
| Popis: | Particle filters (PFs) are Bayesian based estimationalgorithms with attractive theoretical properties for addressingwide range of complex applications that are nonlinear and nonGaussian. However, they are associated with a huge computational demand which limited their application in most realtime systems. To address such a drawback in PFs, this paperpresents different approaches for PFs acceleration based on afield programmable gate arrays (FPGAs). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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