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Autonomous plant inspection and anomaly detection

  • M. Gregori
  • L. Lombardi
  • M. Savini
  • A. Scianna
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

We here present some results of an applied research work dealing with the problem of autonomous inspection in power plants. The aim of this effort is to actualize a qualitative and quantitative improvement over the methodologies currently adopted in routine plant reliability and safety operation. We want to reach this target by exploiting the advantages of the active approach to machine vision, the currently available robotic techniques, and the enhanced value of linking the robot to the plant informative system.

Keywords

Mobile Robot Anomaly Detection Active Vision Mobile Robot Navigation Supervisory System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • M. Gregori
    • 1
  • L. Lombardi
    • 1
  • M. Savini
    • 1
  • A. Scianna
    • 2
  1. 1.Dipartimento di Informatica e SistemisticaUniversity of PaviaPaviaItaly
  2. 2.ENEL/CRACologno Monzese (MI)Italy

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