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A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters
Grid-based perception techniques in the automotive sector based on fusing information from different sensors and their robust perceptions of the environment are proliferating in the industry. However, one of the main drawbacks of these techniques is the traditionally prohibitive, high computing perf...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712924/ https://www.ncbi.nlm.nih.gov/pubmed/29137137 http://dx.doi.org/10.3390/s17112599 |
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author | Medina, Luis Diez-Ochoa, Miguel Correal, Raul Cuenca-Asensi, Sergio Serrano, Alejandro Godoy, Jorge Martínez-Álvarez, Antonio Villagra, Jorge |
author_facet | Medina, Luis Diez-Ochoa, Miguel Correal, Raul Cuenca-Asensi, Sergio Serrano, Alejandro Godoy, Jorge Martínez-Álvarez, Antonio Villagra, Jorge |
author_sort | Medina, Luis |
collection | PubMed |
description | Grid-based perception techniques in the automotive sector based on fusing information from different sensors and their robust perceptions of the environment are proliferating in the industry. However, one of the main drawbacks of these techniques is the traditionally prohibitive, high computing performance that is required for embedded automotive systems. In this work, the capabilities of new computing architectures that embed these algorithms are assessed in a real car. The paper compares two ad hoc optimized designs of the Bayesian Occupancy Filter; one for General Purpose Graphics Processing Unit (GPGPU) and the other for Field-Programmable Gate Array (FPGA). The resulting implementations are compared in terms of development effort, accuracy and performance, using datasets from a realistic simulator and from a real automated vehicle. |
format | Online Article Text |
id | pubmed-5712924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57129242017-12-07 A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters Medina, Luis Diez-Ochoa, Miguel Correal, Raul Cuenca-Asensi, Sergio Serrano, Alejandro Godoy, Jorge Martínez-Álvarez, Antonio Villagra, Jorge Sensors (Basel) Article Grid-based perception techniques in the automotive sector based on fusing information from different sensors and their robust perceptions of the environment are proliferating in the industry. However, one of the main drawbacks of these techniques is the traditionally prohibitive, high computing performance that is required for embedded automotive systems. In this work, the capabilities of new computing architectures that embed these algorithms are assessed in a real car. The paper compares two ad hoc optimized designs of the Bayesian Occupancy Filter; one for General Purpose Graphics Processing Unit (GPGPU) and the other for Field-Programmable Gate Array (FPGA). The resulting implementations are compared in terms of development effort, accuracy and performance, using datasets from a realistic simulator and from a real automated vehicle. MDPI 2017-11-11 /pmc/articles/PMC5712924/ /pubmed/29137137 http://dx.doi.org/10.3390/s17112599 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Medina, Luis Diez-Ochoa, Miguel Correal, Raul Cuenca-Asensi, Sergio Serrano, Alejandro Godoy, Jorge Martínez-Álvarez, Antonio Villagra, Jorge A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title | A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title_full | A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title_fullStr | A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title_full_unstemmed | A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title_short | A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters |
title_sort | comparison of fpga and gpgpu designs for bayesian occupancy filters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712924/ https://www.ncbi.nlm.nih.gov/pubmed/29137137 http://dx.doi.org/10.3390/s17112599 |
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