Pinned Repositories
Awesome-invariant-and-equivariant-filter-and-observer
Paper list for invariant and equivariant filter and observer. Work-in-progress.
cc_nested_sampling
Combined-chain nested sampling
differentiable-particle-filters
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
EKF-SLAM-on-Manifold
EKF-SLAM using Lie Group
ekfmonoslam
SLAM using a monocular camera, optionally an IMU, and GPS
hello-world
my first github program!
ignav
integrated navigation for ins and gnss
kalibr_allan
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Matrix-Lie-group-and-its-application
Matrix Lie group on 2D and 3D, and its application
LYRen1900's Repositories
LYRen1900/Matrix-Lie-group-and-its-application
Matrix Lie group on 2D and 3D, and its application
LYRen1900/Awesome-invariant-and-equivariant-filter-and-observer
Paper list for invariant and equivariant filter and observer. Work-in-progress.
LYRen1900/cc_nested_sampling
Combined-chain nested sampling
LYRen1900/differentiable-particle-filters
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
LYRen1900/EKF-SLAM-on-Manifold
EKF-SLAM using Lie Group
LYRen1900/ekfmonoslam
SLAM using a monocular camera, optionally an IMU, and GPS
LYRen1900/hello-world
my first github program!
LYRen1900/ignav
integrated navigation for ins and gnss
LYRen1900/kalibr_allan
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
LYRen1900/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
LYRen1900/kalman_lie
Kalman Filter for Pose estimation using Lie Algebra
LYRen1900/limo
Lidar-Monocular Visual Odometry
LYRen1900/lips
LiDAR-Inertial 3D Plane Simulator
LYRen1900/LYRen1900.github.io
some useful optimization and filtering approaches that we frequently use in our projects, of course, i may copy some formulas and ideas from others.
LYRen1900/manifold_cdkf
Central difference kalman filter which can work with states on a manifold
LYRen1900/ManifoldNMF
convex (Euclidean) and manifold convex tools for performing non-negative matrix factorization
LYRen1900/Matrix-Lie-Group-and-Its-Applications
It gives the common used Matrix Lie Group implementations.
LYRen1900/MBML
jupyter notebooks and datasets for course 42186 Model-based machine learning (DTU, Spring 2018)
LYRen1900/msckf_vio
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
LYRen1900/ocekf-slam
Observability-Constrained (OC)-EKF for 2D SLAM
LYRen1900/optimaltransport.github.io
Web site of the Computational Optimal Transport book
LYRen1900/pfnet
Particle Filter Network (PF-net)
LYRen1900/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
LYRen1900/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LYRen1900/rovio
LYRen1900/slambook
LYRen1900/SMC-NS
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
LYRen1900/sptam
S-PTAM: Stereo Parallel Tracking and Mapping
LYRen1900/ukfmanifold
UKF over generalized manifold in Matlab