We implemented a FastSLAM 2.0-based algorithm for visual trajectory estimation and applied it to the NIFTi robot. We performed multiple experiments to validate the algorithm and measured its performance in various settings. We showed that our algorithm outperforms the existing solution in many of them. We proposed future changes to the algorithm that have a potential to further increase the performance.