The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Multisensor fusion and integration: approaches, applications, and future research directions
Abstract
Multisensor fusion and integration is a rapidly evolving research area and requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc. The advantages gained through the use of redundant, complementary, or more timely information in a system can provide more reliable and accurate information. This paper provides an overview of current sensor technologies and describes the paradigm of multisensor fusion and integration as well as fusion techniques at different fusion levels. Applications of multisensor fusion in robotics, biomedical system, equipment monitoring, remote sensing, and transportation system are also discussed. Finally, future research directions of multisensor fusion technology including microsensors, smart sensors, and adaptive fusion techniques are presented.
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Cites
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Cited by
Multimodal fusion for multimedia analysis: a survey
Atrey, P. K., Hossain, M. A., El Saddik, A., & Kankanhalli, M. S. (2010) · Multimedia Systems · doi:10.1007/s00530-010-0182-0 · Cited by 1,279
A Review of Data Fusion Techniques
Castanedo, F. (2013) · The Scientific World Journal · doi:10.1155/2013/704504 · Cited by 1,027
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2749181 · Cited by 885
A Survey on Machine Learning for Data Fusion
Meng, T., Jing, X., Yan, Z., & Pedrycz, W. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.001 · Cited by 677
Sensor Technologies for Intelligent Transportation Systems
Guerrero-Ibáñez, J., Zeadally, S., & Contreras-Castillo, J. (2018) · Sensors · doi:10.3390/s18041212 · Cited by 637
Metadata
- Authors
- Luo, R. C., Yih, C.-C., & Su, K. L.
- Venue
- IEEE Sensors Journal
- Published
- 2002-04
- Volume
- 2
- Issue
- 2
- Pages
- 107-119
- ISSN
- 1530-437X (ISSN-L)
- OpenAlex
- W2163496225
- Cited by
- 620
- References
- 36
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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