Model-based sensor fusion

Leonid I. Perlovsky

doi:10.1117/12.131651

1 November 1992 Model-based sensor fusion

Leonid I. Perlovsky

Proceedings Volume 1828, Sensor Fusion V; (1992) https://doi.org/10.1117/12.131651
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Fusion of information from multiple sources is an increasingly important area of research and application. This problem is often complicated by various sensors having different limitations and fields of view. Further complications result from the absence of prior knowledge. In addition to fusing diverse information, it is also necessary to manage multiple sensors with various limitations efficiently for optimal overall system performance. We have solved this set of problems using the MLANS neural network that employs model based approach and fuzzy decision logic.

Citation Download Citation

Leonid I. Perlovsky "Model-based sensor fusion", Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); https://doi.org/10.1117/12.131651

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