A comparative benchmark of Recursive Bayesian Estimation algorithms (Particle Filter, Extended Kalman Filter, and Unscented Kalman Filter) implemented for robot localization in a PyBullet physics ...

Abstract: Capturing the mutual dependencies among states is crucial for practical fixed-interval smoothing problems in motion estimation. However, the resulting non-causal properties present ...

Abstract: A method solving the recursive Bayesian estimation problem by means of orthogonal series representations of the involved probability density functions is proposed. The coefficients of the ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.