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Challenges in Kalman Filtering

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Kalman Filtering and Information Fusion

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Abstract

Despite the wide applications of Kalman filtering, various challenges still exist in real applications.

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Authors and Affiliations

  1. School of Automation, Beijing Institute of Technology, Beijing, China

    Hongbin Ma, Liping Yan, Yuanqing Xia & Mengyin Fu

Authors
  1. Hongbin Ma
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  2. Liping Yan
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  3. Yuanqing Xia
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  4. Mengyin Fu
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Correspondence to Hongbin Ma .

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Ma, H., Yan, L., Xia, Y., Fu, M. (2020). Challenges in Kalman Filtering . In: Kalman Filtering and Information Fusion. Springer, Singapore. https://doi.org/10.1007/978-981-15-0806-6_2

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