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Title: Electric scaled vehicle as ITS experimentation platform
Authors: Sanchez-Medina, Javier J. 
Diaz-Cabrera, Moises 
Galan-Moreno, Manuel J.
Rubio-Royo, Enrique 
UNESCO Clasification: 120304 Inteligencia artificial
120326 Simulación
Keywords: Electric vehicle
Model predictive control
Experimentation platform
Automatic vehicle guidance
Real size
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Abstract: Intelligent Vehicle Robotics is a research area affordable only to big size research groups, mainly because of its high costs. By the present work we propose to develop Intelligent Vehicle Robotics research with modest budgets using an accurately scaled platform. We have developed a scaled intelligent vehicle model to simulate private electric vehicles. It is a low cost, flexible, expandable and open platform that has been meant to test intelligent vehicle solutions to be, after that tested in real scale intelligent vehicles. We have called the model ASEIMOV, standing for Autonomous Scaled Electric Intelligent MOnitored Vehicle. The model consists of a scaled electric vehicle that has been equipped with sensors, web cameras, a PC computer, batteries and ballasts to simulate physically and through software an electric smart vehicle. A carefully scaled vehicle means that the successful solutions tested on the scaled platform are worthy to be tried on real scale smart vehicles in a further step of research. Through this work we describe the ASEIMOV model.
ISBN: 978-3-642-27578-4
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27579-1_57
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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