A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters

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...

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Bibliographic Details
Main Authors: Luis Medina, Miguel Diez-Ochoa, Raul Correal, Sergio Cuenca-Asensi, Alejandro Serrano, Jorge Godoy, Antonio Martínez-Álvarez, Jorge Villagra
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
Bayesian occupancy filter
FPGA
GPGPU
embedded system
ADAS
Online Access:https://www.mdpi.com/1424-8220/17/11/2599

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