• DocumentCode
    3579661
  • Title

    An effective and intelligent driver assistance and warning system for sustained safety

  • Author

    Thirupuranthakam, Suresh Kumar ; Negi, Atul

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Univ. of Hyderabad, Hyderabad, India
  • fYear
    2014
  • Firstpage
    40
  • Lastpage
    43
  • Abstract
    A brand new vehicle´s operational safety as compared to a vehicle in service for several years is expected to be better. As a vehicle ages, sustained operational safety of the driver, passengers and the vehicle are of at most importance. In this paper, we shall view from a systems perspective, the parameters that account for the vehicle deterioration and present an analysis to determine the vehicle safety particularly at high speeds. Based on the analysis, a framework using neural networks and a rule based system is presented for enhancing the driver´s ability to perceive danger.
  • Keywords
    driver information systems; knowledge based systems; neural nets; road safety; road vehicles; intelligent driver assistance; neural networks; rule based system; sustained safety; vehicle deterioration; vehicle operational safety; warning system; Acceleration; Degradation; Neural networks; Roads; Safety; Training data; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety (ICVES), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICVES.2014.7063721
  • Filename
    7063721