The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
Abstract
The tracking of objects using distributed multiple sensors is an important field of work in the application areas of autonomous robotics, military applications, and mobile systems. In this survey, we review a number of computationally intelligent methods that are used for developing robust tracking schemes through sensor data fusion. The survey discusses the application of the various algorithms at different layers of the JDL model and highlights the weaknesses and strengths of the approaches in the context of different applications.
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Cites
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Cited by
Multisensor data fusion: A review of the state-of-the-art
Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013) · Information Fusion · doi:10.1016/j.inffus.2011.08.001 · Cited by 2,074
Infrared and visible image fusion methods and applications: A survey
Ma, J., Ma, Y., & Li, C. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.02.004 · Cited by 1,732
Ouhami, M., Hafiane, A., Es-Saady, Y., El Hajji, M., & Canals, R. (2021) · Remote Sensing · doi:10.3390/rs13132486 · Cited by 264
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Wang, P., Yang, L. T., Li, J., Chen, J., & Hu, S. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.002 · Cited by 127
A Locomotion Intent Prediction System Based on Multi-Sensor Fusion
Chen, B., Zheng, E., & Wang, Q. (2014) · Sensors · doi:10.3390/s140712349 · Cited by 69
Metadata
- Authors
- Smith, D., & Singh, S.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2006-12
- Volume
- 18
- Issue
- 12
- Pages
- 1696-1710
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2105845337
- Cited by
- 379
- References
- 92
- FWCI
- 18.75
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
