Skip to main navigation Skip to search Skip to main content

Evaluation of the accuracy of ADAS module readings based on an analysis of the transient supply current and Neural network application

  • Silesian University of Technology

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The following paper presents advanced methods for evaluating the reliability of ADAS module readings, based on an analysis of the transient supply current. Changes in the transient current waveform occur due to environmental conditions and damage to a module's inner circuitry. Specific deviations in the waveforms may indicate a certain event – either internal or external. This paper presents how to successfully distinguish certain anomalies using artificial neural network-based classification algorithms without having to interfere with the module's internal circuitry.

Original languageEnglish
Pages (from-to)46-52
Number of pages7
JournalElektronika ir Elektrotechnika
Volume24
Issue number3
DOIs
Publication statusPublished - 2018

Keywords

  • Advanced driver assistance systems
  • Artificial neural networks
  • Current measurement
  • Predictive maintenance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Evaluation of the accuracy of ADAS module readings based on an analysis of the transient supply current and Neural network application'. Together they form a unique fingerprint.

Cite this