Paper
3 September 1993 MLANS application to sensor fusion
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonid I. Perlovsky "MLANS application to sensor fusion", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); https://doi.org/10.1117/12.155000
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KEYWORDS
Sensors

Active sensors

Inspection

Neural networks

Information fusion

Sensor fusion

Passive sensors

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