Robust approach for sensor placement in automated vision dimensional inspection

Xiangrong Gu, Michael M. Marefat, Frank W. Ciarallo

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations


This paper introduces a novel sensor placement approach for dimensional inspection with active visual inspection systems. For a given set of entities, an effective sensor plan includes parameter values that allow some entities to be observed simultaneously. Two kinds of approaches have generally been used for sensor planning in visual inspection systems: the generate-and-test method and the synthesis method. In order to have high performance and satisfactory accuracy, uncertainty must be considered in the sensing model of the visual system. Furthermore, in order to avoid sharp deterioration of the performance of the visual inspection system for very small disturbances of the parameters, an appropriate definition of robustness is proposed. In an experiment a new sensor planning approach based on robustness resolves some problems with earlier approaches.

Original languageEnglish (US)
Pages (from-to)2602-2607
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
StatePublished - 1999
EventProceedings of the 1999 IEEE International Conference on Robotics and Automation, ICRA99 - Detroit, MI, USA
Duration: May 10 1999May 15 1999

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering


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