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Hardware-Based Particle Filter with Evolutionary Resampling Stage - Couverture souple

Rodríguez, Alfonso; Moreno, Félix

 
9783659616655: Hardware-Based Particle Filter with Evolutionary Resampling Stage
Couverture souple
ISBN 10 : 3659616656 ISBN 13 : 9783659616655
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Alfonso Rodríguez was born in Madrid, Spain, in 1989. He received the BSc degree in industrial engineering and the MSc degree in industrial electronics from the Universidad Politécnica de Madrid (UPM), Spain, in 2012 and 2014. He is currently a full-time researcher at Centro de Electrónica Industrial (CEI), UPM.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659616656
ISBN 13 
9783659616655
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
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