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

  • 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.

Published
2014-11-09
How to Cite
1.
Bucur A, Potecașu O, Marin F. Technique of windshield de-icing state prediction based on neuronal model. Annals of ”Dunarea de Jos” University of Galati, Fascicle V, Technologies in machine building [Internet]. 9Nov.2014 [cited 25Apr.2024];32:63-8. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/tmb/article/view/1552
Issue
Vol 32 (2014)
Section
Articles

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