• DocumentCode
    3033735
  • Title

    Automated car braking system: Using neural network system via Labview environment

  • Author

    Abu, Mohd Azlan ; Kornain, Z. ; Iqbal, I.M. ; Rosli, M.H.

  • Author_Institution
    British Malaysian Inst., Univ. Kuala Lumpur, Kuala Lumpur, Malaysia
  • fYear
    2012
  • fDate
    21-24 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper represents the development of a car braking system based on artificial neural network for use during parking. This project involves replacing the usual car reverse warning system with a system that will react automatically based on the distance between the car and a given obstacle by gradually increasing the braking pressure until such a point that is deemed the closest safe distance to the obstacle, in which the braking pressure will then be increased to max and the car will halt. To realize this application, this project will make use of LabView simulation software to create the artificial neural network engine and present the simulation results.
  • Keywords
    braking; neural nets; traffic engineering computing; virtual instrumentation; LabView simulation software; Labview environment; artificial neural network engine system; automated car braking system; braking pressure; closest safe distance; parking; Artificial neural networks; Fuzzy logic; Pragmatics; Simulation; Training; Vehicles; LabView; auto-braking; neural network; reverse and side parking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Systems (ICOS), 2012 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-1044-4
  • Type

    conf

  • DOI
    10.1109/ICOS.2012.6417650
  • Filename
    6417650