Real-Time Sensor Fusion Framework for Distributed Intelligent Sensors.

作者: Xiaojing Yuan , Xiaohui Yuan , Xiangshang Li

DOI:

关键词:

摘要: Multi-sensor data fusion has found widespread applications in industrial and research sectors. The purpose of real time multi-sensor is to dynamically estimate an improved system model from a set different sources, i.e., sensors. This paper presented systematic unified sensor framework (RTSFF) based on distributed intelligent network. RTSFF open architecture which consists four layers – the transaction layer, process control planning layer. paradigm facilitates distribution intelligence level sharing information among sensors, controllers, other devices system. transducer layer populated with learning ability enables it extract characteristics monitored signal. representation issue managed at this level. After describing RTSFF, then focuses fundamental units framework, highly autonomous transducers.

参考文章(5)
Sonya A. H. McMullen, David L. Hall, Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) Artech House, Inc.. ,(2004)
Xiaojing Yuan, Xiangshang Li, Bill P. Buckles, Real-time sensor validation and fusion for distributed autonomous sensors Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004. ,vol. 5434, pp. 307- 318 ,(2004) , 10.1117/12.542724
Andrew Little, The royal aeronautical society Air & Space Europe. ,vol. 2, pp. 80- 83 ,(2000) , 10.1016/S1290-0958(00)80071-4
J. Frolik, M. Abdelrahman, P. Kandasamy, A confidence-based approach to the self-validation, fusion and reconstruction of quasi-redundant sensor data IEEE Transactions on Instrumentation and Measurement. ,vol. 50, pp. 1761- 1769 ,(2001) , 10.1109/19.982977