Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
This paper presents two different methods for track-to-track fusion of drone tracks. The sensors are unbiased radars with fixed locations. The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn t...
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2024
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1594 |
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