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A Fuzzy Decision System for an Autonomous Car Parking

  • Carlos Martín Sánchez
  • Matilde Santos Peñas
  • Luis Garmendia Salvador
Part of the Intelligent Systems Reference Library book series (ISRL, volume 33)

Abstract

In this paper, the design of a fuzzy decision system for autonomous parallel car parking is presented. The modeling of the problem, the physics involved, the fuzzy sets assigned to the linguistic variables and the inference rules are explained. Different fuzzy operators have been tested in the generated simulation environment and the results have been compared. The decision system is proposed as a benchmark to show the influence of the different fuzzy strategies on the final decision. The comparison is made in terms of number of maneuvers for parking the vehicle. It also depends on the range of measurements to environmental objects around the car and on the starting position. The final implementation of the parking system in a Java Applet can be tested in the web using any browser.

Keywords

Fuzzy Logic Fuzzy System Fuzzy Rule Parking Space Fuzzy Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Carlos Martín Sánchez
    • 1
  • Matilde Santos Peñas
    • 1
  • Luis Garmendia Salvador
    • 2
  1. 1.Dpto. Arquitectura de Computadores y Automática, Facultad de InformáticaUniversidad Complutense de MadridMadridSpain
  2. 2.Dpto. Inteligencia Artificial e Ingeniería del Software, Facultad de InformáticaUniversidad Complutense de MadridMadridSpain

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