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Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles

Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based se...

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Detalles Bibliográficos
Autores principales: Gil, Gustavo, Savino, Giovanni, Piantini, Simone, Pierini, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795592/
https://www.ncbi.nlm.nih.gov/pubmed/29351267
http://dx.doi.org/10.3390/s18010295
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author Gil, Gustavo
Savino, Giovanni
Piantini, Simone
Pierini, Marco
author_facet Gil, Gustavo
Savino, Giovanni
Piantini, Simone
Pierini, Marco
author_sort Gil, Gustavo
collection PubMed
description Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles. We identified two road conflict situations for which automotive remote sensors installed in a tilting vehicle are likely to fail in the identification of critical obstacles. Accordingly, we set two experiments conducted in real traffic conditions to test our stereo vision sensor. Our promising results support the application of this type of sensors for advanced motorcycle safety applications.
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spelling pubmed-57955922018-02-13 Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles Gil, Gustavo Savino, Giovanni Piantini, Simone Pierini, Marco Sensors (Basel) Article Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles. We identified two road conflict situations for which automotive remote sensors installed in a tilting vehicle are likely to fail in the identification of critical obstacles. Accordingly, we set two experiments conducted in real traffic conditions to test our stereo vision sensor. Our promising results support the application of this type of sensors for advanced motorcycle safety applications. MDPI 2018-01-19 /pmc/articles/PMC5795592/ /pubmed/29351267 http://dx.doi.org/10.3390/s18010295 Text en © 2018 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
Gil, Gustavo
Savino, Giovanni
Piantini, Simone
Pierini, Marco
Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title_full Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title_fullStr Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title_full_unstemmed Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title_short Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles
title_sort motorcycles that see: multifocal stereo vision sensor for advanced safety systems in tilting vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795592/
https://www.ncbi.nlm.nih.gov/pubmed/29351267
http://dx.doi.org/10.3390/s18010295
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