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Proceedings Paper

Intelligent sensor fusion architecture for autonomous microgravity experiments
Author(s): Mohd Rokonuzzaman; Raymond G. Gosine
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Paper Abstract

Perception for an intelligent system is partially accomplished through fusing information from a number of complementary and redundant sensors. The application of intelligent system technology to sense, reason, and control unsupervised autonomous microgravity experiments requires a sensor fusion unit (SFU) that is fault-tolerant, highly available, and intelligent. Also, it should have a generic architecture to enhance the system development methodology. A generic architecture for fusion of environmental sensors for autonomous deployment of microgravity experiments is proposed in this paper. The proposed SFU has the characteristics of high data integrity, resource redundancy, on-line autonomous serviceability, and operating status reporting ability. A discrete event system (DES) model to quantify the performance of the SFU in terms of functionality (i.e., predictable redundancy management), reliability, and availability has been developed.

Paper Details

Date Published: 30 October 1996
PDF: 11 pages
Proc. SPIE 2905, Sensor Fusion and Distributed Robotic Agents, (30 October 1996); doi: 10.1117/12.256338
Show Author Affiliations
Mohd Rokonuzzaman, Memorial Univ. of Newfoundland (Canada)
Raymond G. Gosine, Memorial Univ. of Newfoundland (Canada)


Published in SPIE Proceedings Vol. 2905:
Sensor Fusion and Distributed Robotic Agents
Paul S. Schenker; Gerard T. McKee, Editor(s)

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