Decision Networks For Multisensor Integration In Computer Vision

Amar Mitiche; T. C. Henderson; R. Laganiere

doi:10.1117/12.948942

5 January 1989 Decision Networks For Multisensor Integration In Computer Vision

Amar Mitiche, T. C. Henderson, R. Laganiere

Proceedings Volume 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation; (1989) https://doi.org/10.1117/12.948942
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

The advantage in using several similar sensors has been demonstrated in the context of remote sensing and dynamic scene analysis. There have been few studies dealing with the use of several dissimilar sensors although the advantage is clear : different sensors are sensitive to different properties of the environment, each one of which can contribute significantly in interpreting this environment. One of the main problems, however, is to integrate in a meaningful fashion, the (possibly dissimilar) data collected by the various sensors. This paper examines the problem and suggests the use of decision networks.

Citation Download Citation

Amar Mitiche, T. C. Henderson, and R. Laganiere "Decision Networks For Multisensor Integration In Computer Vision", Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); https://doi.org/10.1117/12.948942

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