Engineering
7 years ago

Underwater robots navigate more accurately with new Kalman filter methods!

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Towards comparison of Kalman filter methods for localisation in underwater environments
Romulo Thiago Silva da Rosa, Guilherme B. Zaffari, Paulo Jefferson Dias de Oliveira Evald, Paulo Drews, Sílvia Silva da Costa Botelho

Paper Summary

Kalman Filters were used to track the movement of an underwater robot. Three different methods were tested: Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Central Difference Kalman Filter (CDKF). The results showed that UKF and CDKF performed better than EKF, with UKF being slightly faster than CDKF while maintaining similar accuracy.

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