Cargando…
A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing
The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly explo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029637/ https://www.ncbi.nlm.nih.gov/pubmed/24691100 http://dx.doi.org/10.3390/s140406247 |
_version_ | 1782317246416158720 |
---|---|
author | García, Gabriel J. Jara, Carlos A. Pomares, Jorge Alabdo, Aiman Poggi, Lucas M. Torres, Fernando |
author_facet | García, Gabriel J. Jara, Carlos A. Pomares, Jorge Alabdo, Aiman Poggi, Lucas M. Torres, Fernando |
author_sort | García, Gabriel J. |
collection | PubMed |
description | The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field. |
format | Online Article Text |
id | pubmed-4029637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40296372014-05-22 A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing García, Gabriel J. Jara, Carlos A. Pomares, Jorge Alabdo, Aiman Poggi, Lucas M. Torres, Fernando Sensors (Basel) Review The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field. MDPI 2014-03-31 /pmc/articles/PMC4029637/ /pubmed/24691100 http://dx.doi.org/10.3390/s140406247 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review García, Gabriel J. Jara, Carlos A. Pomares, Jorge Alabdo, Aiman Poggi, Lucas M. Torres, Fernando A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title | A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title_full | A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title_fullStr | A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title_full_unstemmed | A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title_short | A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing |
title_sort | survey on fpga-based sensor systems: towards intelligent and reconfigurable low-power sensors for computer vision, control and signal processing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029637/ https://www.ncbi.nlm.nih.gov/pubmed/24691100 http://dx.doi.org/10.3390/s140406247 |
work_keys_str_mv | AT garciagabrielj asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT jaracarlosa asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT pomaresjorge asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT alabdoaiman asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT poggilucasm asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT torresfernando asurveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT garciagabrielj surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT jaracarlosa surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT pomaresjorge surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT alabdoaiman surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT poggilucasm surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing AT torresfernando surveyonfpgabasedsensorsystemstowardsintelligentandreconfigurablelowpowersensorsforcomputervisioncontrolandsignalprocessing |