A framework of fault detection algorithm for intelligent vehicle by using real experimental data

Naohisa Hashimoto, Umit Ozguner, Neil Sawant, Masashi Yokozuka, Shin Kato, Osamu Matsumoto, Sadayuki Tsugawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Automated vehicles have a possibility to contribute more capacity, safety, low emission and high efficiency to transportation. However, unstable conditions of the automated system can cause serious problem, thus the automated vehicle requires high reliability. The objective of this research is to develop algorithms of fault (unstable condition) detection for automated vehicles, and to improve the overall reliability of the system. In this study, we initially solved and updated identification of some pattern of data constellations under normal and unstable conditions through the experiments in a real world. The multiple experiments were done in the public area (course distance is about 1.1[km]) with some times, where some pedestrian, bicycles and other robots coexisted. The method of detecting faults utilizes mahalanobis distance, correlation coefficient and linearization in order to improve the reliability of detecting the faults correctly, because real experimental conditions include some random noises, and the method must be robust for the changing conditions. The feature of this study is to utilize the experiment results in real world, construct the algorithms and evaluate it. The simulations were done with the real experimental data, in order to evaluate it. The simulation result shows that the proposed system detects faults correctly, and it proves the validity of the proposed method proved.

Original languageEnglish
Title of host publication2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
Pages913-918
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States
Duration: 2011 Oct 52011 Oct 7

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011
Country/TerritoryUnited States
CityWashington, DC
Period11/10/511/10/7

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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