Technique of windshield de-icing state prediction based on neuronal model

Authors

  • Alexandra Bucur Master student with the Material Engineering Department “Dunarea de Jos“ University of Galati
  • Octavian Potecașu Environmental and Industry Safety Department, “Dunarea de Jos” University of Galati
  • Florin Bogdan Marin Material Engineering Department, “Dunarea de Jos” University of Galati

Keywords:

windshield state, de-icing, demisting, windshield state prediction

Abstract

In this paper a technique of windshield de-icing state prediction is proposed. Parameters which affect de-icing performance in case of extreme cold conditions
have been taken into account to build a data base that is used to train a neuronal model. The obtained neuronal model will be used to predict de-ice state to warn the driver not to set the car into motion and allow the heating system to further warm the car interior and assure very good visibility on windshield. The proposed system will further enhance ADAS (Advanced Driver Assistance Systems) to improve traffic safety.

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Published

2014-11-09

Issue

Vol. 32 (2014)

Section

Articles

How to Cite

1.
Technique of windshield de-icing state prediction based on neuronal model. Ann_UGAL_TMB [Internet]. 2014 Nov. 9 [cited 2026 Nov. 2];32:63-8. Available from: https://ojs.ugal.ro/index.php/tmb/article/view/1552

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