Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design-Reference-Cited by-同舟云学术

Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design

Published:2018-02-21 Issue: Volume: Page:
ISSN:
Container-title:Kalman Filters - Theory for Advanced Applications
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Author:

Saho Kenshi

Publisher

InTech

Link

http://www.intechopen.com/download/pdf/57673

Reference27 articles.

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2. Bar-Shalom Y, Li XR, Kirubarajan T. Estimation and Tracking: Principles, Techniques, and Software. Boston, MA, United States: Artech House Publishers; 1998

3. Saho K, Masugi M. Automatic parameter setting method for an accurate Kalman filter tracker using an analytical steady-state performance index. IEEE Access. 2015;3:1919-1930. DOI: 10.1109/ACCESS.2015.2486766

4. Hashlamon I, Erbatur K. An improved real-time adaptive Kalman filter with recursive noise covariance updating rules. Turkish Journal of Electrical Engineering & Computer Sciences. 2016;24:524-540. DOI: 10.3906/elk-1309-60

5. Basso G, Amorim TG, Brito AV, Nascimento TP. Kalman filter with dynamical setting of optimal process noise. IEEE Access. 2017;5:8385-8393. DOI: 10.1109/ACCESS.2017.2697072

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