Multisensor Data Fusion for High Quality Data Analysis and Processing in Measurement and Instrumentation

Journal of Bionic Engineering

Volumn 4, Issue 1, 2007, Pages 53-62

  Huang, Yan bo ^a   Lan, Yu bin ^a   Hoffmann, W C ^a   Lacey, R E ^b  

^a Areawide Pest Management Research Unit   (United States)

^b Texas A and M University   (United States)

Author keywords

artificial neural networks; food quality and safety characterization; multisensor data fusion; NDI; precision agriculture

Indexed keywords

DATA PROCESSING; DATA REDUCTION; NEURAL NETWORKS; PATTERN RECOGNITION; QUALITY CONTROL; SENSORS;

FOOD QUALITY; MULTISENSOR DATA FUSION; PRECISION AGRICULTURE; SAFETY CHARACTERIZATION;

SENSOR DATA FUSION;

EID: 34147169209     PISSN: 16726529     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-6529(07)60013-4     Document Type: Article

References (24)

1. Hall D., and Llinas J. Handbook of Multisensor Data Fusion (2001), CRC Press LLC, USA
2. Hackett J., and Shah M. Multi-sensor fusion: A perspective. Proceedings 1990 IEEE International Conference on Robotics and Automation 2 (1990) 1324-1330
3. Linn R., and Hall D. A survey of multi-sensor data fusion systems. Proceedings of the SPIE - The International Society for Optical Engineering. SPIE 1470 (1991) 13-29
4. McCulloch W., and Pitts W. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 9 (1943) 127-147
5. Hebb D. The Organization of Behavior (1949), John Wiley & Sons, New York
6. Rosenblatt F. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65 (1958) 386-408
7. Minsky M., and Papert S. Perceptions (1969), MIT Press, Cambridge, USA
8. Grossberg S. Adaptive pattern classification and universal recording: I. Parallel development and coding of neural feature detectors. Biological Cybernetics 23 (1976) 121-134
9. Hopfield J. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 79 (1982) 2554-2558
10. Gros X. NDT Data Fusion (1997), Arnold, London
11. Rebbapragada S, Palakal M J, Pidaparti R M. Jones C R. Corrosion detection and quantification using image processing for aging aircraft panels. The Third Joint FAA/DoD/NASA Conference on Aging Aircrafts, Albuquerque, NM, USA, 1999.
12. Palakal M., Pidaparti R., Rebbapragada S., and Jones C. Intelligent computational methods for corrosion damage assessment. AIAA Journal 39 (2001) 1936-1943
13. Forsyth D S, Liu Z, Komorowski J P, Peeler D. An application of NDI data fusion to aging aircraft structures. The 6th Joint FAA/DoD/NASA Conference on Aging Aircraft. San Francisco, USA, 2002.
14. Huang Y., Lan Y., and Lcaey R. Artificial senses for characterization of food quality. Journal of Bionics Engineering 1 (2004) 159-173
15. Wide P, Winquist F, Lauber A. The perceiving sensory estimated in an artificial human estimation based sensor system. Proceeding of the IEEE Instrumentation and Measurement Technology Conference, Ottawa, Canada, 1997.
16. Wide P, Winquist F, Kalaykov I. The artificial sensor head: A new approach in assessment of human based quality. Proceeding of the Second International Conference on Information Fusion, Sunnyvale, CA, USA, 1999, 2, 1144-1149.
17. Huang Y, Lan Y, Lacey R E. Development of artificial head for characterization of food safety. ASAE Annual International Meeting, Tampa, FL, USA, 2005.
18. Illinois Laboratory for Agricultural Remote Sensing, [2007-1-15]. htp://www.age.uiuc.edu/remote-sensing/Sensing.html
19. Ooms D., Lebeau F., Ruter R., and Destain M. Measurements of the horizontal sprayer boom movements by sensor data fusion. Computers and Electronics in Agriculture 33 (2002) 139-162
20. Guo L., and Zhang Q. Wireless data fusion system for agricultural vehicle positioning. Biosystems Engineering 91 (2005) 261-269
21. Noguchi N, Reid J F, Will J, Benson E R, Stombaugh T S. Vehicle automation system based on multi-sensor integration. ASAE Annual International Meeting, Orlando, FL, USA, 1998.
22. Guo L S, Zhang Q. A low-cost navigation system for autonomous off-road vehicles. Proceedings of Automation Technology for Off-Road Equipment Conference, Kyoto, Japan, 2004, 107-119.
23. Guo L S, Zhang Q, Feng L. A low-cost integrated positioning system of GPS and inertial sensors for autonomous agricultural vehicles. ASAE Annual International Meeting, Las Vegas, NV, USA. 2003.
24. Rovira-Mas F, Han S, Wei J, Reid J F. Fuzzy logic model fro sensor fusion of machine vision and GPS in autonomous navigation. ASAE Annual International Meeting. Tampa. FL. USA, 2005.