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inria-00175749, version 1

Fuzzy reasoning based vehicle road line following

Sergio Nogueira () 12, Yassine Ruichek 2, François Charpillet () 1

e-Manufacturing Symposium 2007 (2007)

Abstract: One of the goals of the intelligent transportation domain is to develop systems based on a fleet of fully automated cars designed for short trips at low speed in urban areas. These systems will offer advantages of high flexibility, efficiently, safety, and thus, will improve the quality of life in our cities in terms of parking management, environment protection, etc.). One of the key functions that such transportation systems must achieve concerns vehicle autonomous navigation. This paper presents a vehicle road line following using a fuzzy reasoning system. The developed algorithms are implemented and tested on a fully automated vehicle platform.

  • 1:  MAIA (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • 2:  Laboratoire Systèmes et Transports (SET)
  • Université de Technologie de Belfort-Montbeliard – Institut de Recherche sur les Transports, l'Energie et la Société - IRTES
  • Domain : Computer Science/Computer Vision and Pattern Recognition
    Computer Science/Automatic Control Engineering
    Computer Science/Embedded Systems
    Computer Science/Signal and Image Processing
    Engineering Sciences/Signal and Image processing
 
  • inria-00175749, version 1
  • oai:hal.inria.fr:inria-00175749
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  • Submitted on: Monday, 1 October 2007 10:14:37
  • Updated on: Thursday, 4 October 2007 17:17:13