The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Multisensor integration and fusion in intelligent systems
Abstract
The issues involved in integrating multiple sensors into the operation of a system are presented in the context of the type of information these sensors can uniquely provide. A survey is provided of the variety of approaches to the problem of multisensor integration and fusion that have appeared in the literature in recent years ranging from general paradigms, frameworks, and methods for integrating and fusing multisensory information to existing multisensor systems used in different areas of application. General multisensor fusion methods, sensor selection strategies, and world models are examined, along with approaches to the integration and fusion of information from combinations of different types of sensors. Short descriptions of the role of multisensor integration and fusion in the operation of a number of existing mobile robots are provided, together with proposed high-level multisensory representations suitable for mobile robot navigation and control. Existing multisensor systems for industrial and other applications are considered.>
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Cites
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
Albus, J. S. (1975) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3426922 · Cited by 2,177
An architecture for reflexive autonomous vehicle control
Payton, D. (1986) · Proceedings. 1986 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1986.1087458 · Cited by 200
Cited by
A survey of image classification methods and techniques for improving classification performance
Lu, D., & Weng, Q. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600746456 · Cited by 3,402
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
Weng, Q. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.02.030 · Cited by 1,205
Multisensor fusion and integration: approaches, applications, and future research directions
Luo, R. C., Yih, C.-C., & Su, K. L. (2002) · IEEE Sensors Journal · doi:10.1109/jsen.2002.1000251 · Cited by 620
Self-citationRobotic tactile perception of object properties: A review
Luo, S., Bimbo, J., Dahiya, R., & Liu, H. (2017) · Mechatronics · doi:10.1016/j.mechatronics.2017.11.002 · Cited by 425
BIOLOGICALLY BASED ARTIFICIAL NAVIGATION SYSTEMS: REVIEW AND PROSPECTS
TRULLIER, O., WIENER, S. I., BERTHOZ, A., & MEYER, J.-A. (1997) · Progress in Neurobiology · doi:10.1016/s0301-0082(96)00060-3 · Cited by 363
Metadata
- Authors
- Luo, R. C., & Kay, M. G.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1989
- Volume
- 19
- Issue
- 5
- Pages
- 901-931
- ISSN
- 0018-9472 (ISSN-L)
- OpenAlex
- W2089337412
- Cited by
- 747
- References
- 4
- FWCI
- 18.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Luo, R. C., & Kay, M. G. (1989). Multisensor integration and fusion in intelligent systems. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/21.44007
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