Portada del libro de Hardware-Based Particle Filter with Evolutionary Resampling Stage
Título del libro:

Hardware-Based Particle Filter with Evolutionary Resampling Stage

LAP LAMBERT Academic Publishing (2014-10-07 )

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ISBN-13:

978-3-659-61665-5

ISBN-10:
3659616656
EAN:
9783659616655
Idioma del libro:
Inglés
Notas y citas / Texto breve:
Autonomous systems require reasoning and decision-making capabilities in real time. In order to comply with these timing requirements, computing tasks have to be performed as fast as possible. The problem arises when computations are no longer simple, but very time-consuming operations. A good example can be found in autonomous navigation systems with visual-tracking submodules where Kalman filtering is the most extended solution. However, in recent years, some interesting new approaches have been developed. Particle filtering, given its more general problem-solving features, has reached an important position in the field. Traditional approaches to particle filtering or evolutionary computation have been developed in software platforms, including parallel capabilities to some extent. In this work, an additional goal is fully exploiting hardware implementation advantages. By using the computational resources available in a FPGA device, better performance results in terms of computation time are expected. These hardware resources will be in charge of extensive repetitive computations. With this hardware-based implementation, real-time features are also expected.
Editorial:
LAP LAMBERT Academic Publishing
Sitio web:
https://www.lap-publishing.com/
Por (autor):
Alfonso Rodríguez, Félix Moreno
Número de páginas:
120
Publicado en:
2014-10-07
Stock:
Disponible
Categoría:
Hardware
Precio:
39.90 €
Palabras clave:
Evolutionary Computation, Embedded Systems, FPGAs, Particle filters

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