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A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System

Motorcycle drivers are considered among the most vulnerable road users, as attested by the number of crashes increasing every year. The significant part of the fatalities relates to “single vehicle” loss of control in bends. During this investigation, a system based on an instrumented multi-sensor p...

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Autores principales: Smaiah, Sarra, Sadoun, Rabah, Elouardi, Abdelhafid, Larnaudie, Bruno, Bouaziz, Samir, Boubezoul, Abderahmane, Vincke, Bastien, Espié, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069380/
https://www.ncbi.nlm.nih.gov/pubmed/30011924
http://dx.doi.org/10.3390/s18072282
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author Smaiah, Sarra
Sadoun, Rabah
Elouardi, Abdelhafid
Larnaudie, Bruno
Bouaziz, Samir
Boubezoul, Abderahmane
Vincke, Bastien
Espié, Stéphane
author_facet Smaiah, Sarra
Sadoun, Rabah
Elouardi, Abdelhafid
Larnaudie, Bruno
Bouaziz, Samir
Boubezoul, Abderahmane
Vincke, Bastien
Espié, Stéphane
author_sort Smaiah, Sarra
collection PubMed
description Motorcycle drivers are considered among the most vulnerable road users, as attested by the number of crashes increasing every year. The significant part of the fatalities relates to “single vehicle” loss of control in bends. During this investigation, a system based on an instrumented multi-sensor platform and an algorithmic study was developed to accurately reconstruct motorcycle trajectories achieved when negotiating bends. This system is used by the French Gendarmerie in order to objectively evaluate and to examine the way riders take their bends in order to better train riders to adopt a safe trajectory and to improve road safety. Data required for the reconstruction are acquired using a motorcycle that has been fully instrumented (in VIROLO++ Project) with several redundant sensors (reference sensors and low-cost sensors) which measure the rider actions (roll, steering) and the motorcycle behavior (position, velocity, acceleration, odometry, heading, and attitude). The proposed solution allowed the reconstruction of motorcycle trajectories in bends with a high accuracy (equal to that of fixed point positioning). The developed algorithm will be used by the French Gendarmerie in order to objectively evaluate and examine the way riders negotiate bends. It will also be used for initial training and retraining in order to better train riders to learn and estimate a safe trajectory and to increase the safety, efficiency and comfort of motorcycle riders.
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spelling pubmed-60693802018-08-07 A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System Smaiah, Sarra Sadoun, Rabah Elouardi, Abdelhafid Larnaudie, Bruno Bouaziz, Samir Boubezoul, Abderahmane Vincke, Bastien Espié, Stéphane Sensors (Basel) Article Motorcycle drivers are considered among the most vulnerable road users, as attested by the number of crashes increasing every year. The significant part of the fatalities relates to “single vehicle” loss of control in bends. During this investigation, a system based on an instrumented multi-sensor platform and an algorithmic study was developed to accurately reconstruct motorcycle trajectories achieved when negotiating bends. This system is used by the French Gendarmerie in order to objectively evaluate and to examine the way riders take their bends in order to better train riders to adopt a safe trajectory and to improve road safety. Data required for the reconstruction are acquired using a motorcycle that has been fully instrumented (in VIROLO++ Project) with several redundant sensors (reference sensors and low-cost sensors) which measure the rider actions (roll, steering) and the motorcycle behavior (position, velocity, acceleration, odometry, heading, and attitude). The proposed solution allowed the reconstruction of motorcycle trajectories in bends with a high accuracy (equal to that of fixed point positioning). The developed algorithm will be used by the French Gendarmerie in order to objectively evaluate and examine the way riders negotiate bends. It will also be used for initial training and retraining in order to better train riders to learn and estimate a safe trajectory and to increase the safety, efficiency and comfort of motorcycle riders. MDPI 2018-07-14 /pmc/articles/PMC6069380/ /pubmed/30011924 http://dx.doi.org/10.3390/s18072282 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
Smaiah, Sarra
Sadoun, Rabah
Elouardi, Abdelhafid
Larnaudie, Bruno
Bouaziz, Samir
Boubezoul, Abderahmane
Vincke, Bastien
Espié, Stéphane
A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title_full A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title_fullStr A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title_full_unstemmed A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title_short A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System
title_sort practical approach for high precision reconstruction of a motorcycle trajectory using a low-cost multi-sensor system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069380/
https://www.ncbi.nlm.nih.gov/pubmed/30011924
http://dx.doi.org/10.3390/s18072282
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