How to deal with interval measurement uncertainty?

Version 1.0.0.0 (5.64 KB) by Lyudmila Mihaylova
A box particle filter implementation
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Updated 16 Jan 2015

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This is the Box particle filter code, for the examples from the book chapter in:
A. Gning, L. Mihaylova, F. Abdallah, B. Ristic, Particle Filtering Combined with Interval Methods for Tracking Applications, Integrated Tracking, Classification, and Sensor Management: Theory and Applications, Eds. M. Mallick, V. Krishnamurthy, B.-N. Vo, John Wiley & Sons, New Jersey, USA, pp. 43--74, 2012.

- re_sample.c needs to be "mexified" to your Windows version ( you should already have it from the crowd Box-PF code. All you have to do is to run single_run_BPF. A part from that you have the boxpf code inside bpfsimu and the simulation itself is in gen_meas.

Cite As

Lyudmila Mihaylova (2024). How to deal with interval measurement uncertainty? (https://www.mathworks.com/matlabcentral/fileexchange/49062-how-to-deal-with-interval-measurement-uncertainty), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0