GitHub / spsingh37 / Bayesian-filtering-and-SLAM
This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spsingh37%2FBayesian-filtering-and-SLAM
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 245 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago
Topics: 2d-slam, 3d-slam, bayesian-filtering, extended-kalman-filter, gtsam, invariant-extended-kalman-filter, kalman-filter, occupancy-grid-map, particle-filter, pose-graph-slam, state-estimation, target-tracking, unscented-kalman-filter