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107 public repositories
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A Robust and Versatile Monocular Visual-Inertial State Estimator
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】
Monocular Visual-Inertial State Estimator on Mobile Phones
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
A small C++11 header-only library for Lie theory.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
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Jan 31, 2022
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Python
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Dec 19, 2021
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Python
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Resources on various topics being worked on at IvLabs
Unscented Kalman Filter library for state and parameter estimation
An implementation of AVP-SLAM and some new contributions
A small collection of Kalman Filters on Lie groups
A bunch of state estimation algorithms
SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)
Vehicle State Estimation using Error-State Extended Kalman Filter
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Aug 16, 2019
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Python
Implementation for IROS2020: "GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model"
Course on data assimilation (DA)
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Oct 13, 2021
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Jupyter Notebook
Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.
Unsupervised radar odometry combining deep learning with classical state estimation
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Dec 15, 2021
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Python
The Simultaneous Trajectory Estimation and Mapping (STEAM) Engine.
SEROW Framework for Humanoid Robot Walking Estimation
Simple particle/kalman filtering, smoothing and parameter estimation
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Dec 10, 2021
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Julia
State Estimation for SLAM
Software Release for "Incremental Covariance Estimation for Robust Localization"
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Feb 1, 2021
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Shell
Unscented kalman filter (UKF) library in python that supports multiple measurement updates
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Aug 9, 2017
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Python
RINS-W: Robust Inertial Navigation System on Wheels
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Aug 8, 2020
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Python
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Be conservative about the changes necessary to the core of DAPPER.
ATM, this requires pretending variable-length state or obs are fixed-length. This enables using np.ndarrays without hassle, but includes overhead.