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

Autor: Abderrahmane Boubezoul, Sarra Smaiah, Abdelhafid Elouardi, Stéphane Espié, Samir Bouaziz, Bastien Vincke, Bruno Larnaudie, Rabah Sadoun
Přispěvatelé: Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Polytechnique [Alger] (ENP), Méthodes et Outils pour les Signaux et Systèmes (SATIE-MOSS), Systèmes d'Information et d'Analyse Multi-Echelles (SIAME), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS)-Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), IEF, Université Paris-Sud - Paris 11 (UP11), Simu&Moto (IFSTTAR/TS2/Simu&Moto), Communauté Université Paris-Est-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
Heading (navigation)
Computer science
safe trajectory
Control (management)
02 engineering and technology
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
Analytical Chemistry
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Acceleration
Odometry
Position (vector)
11. Sustainability
0202 electrical engineering
electronic engineering
information engineering
Single vehicle
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Simulation
data fusion
010401 analytical chemistry
020206 networking & telecommunications
Atomic and Molecular Physics
and Optics
0104 chemical sciences
Multi sensor
trajectory reconstruction
[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]
Trajectory
low-cost sensors
embedded systems
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
powered two wheels (PTW)
Zdroj: Sensors, Vol 18, Iss 7, p 2282 (2018)
Sensors
Sensors, MDPI, 2018, 18 (7), pp.2282. ⟨10.3390/s18072282⟩
Volume 18
Issue 7
Sensors (Basel, Switzerland)
ISSN: 1424-8220
DOI: 10.3390/s18072282⟩
Popis: 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 &ldquo
single vehicle&rdquo
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.
Databáze: OpenAIRE
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