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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】業務調整，暫停更新
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
A small C++11 header-only library for Lie theory.
Monocular Visual-Inertial State Estimator on Mobile Phones
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
An implementation of AVP-SLAM and some new contributions
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Unscented Kalman Filter library for state and parameter estimation
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
Data Assimilation with Python: a Package for Experimental Research
A small collection of Kalman Filters on Lie groups
Resources on various topics being worked on at IvLabs
A bunch of state estimation algorithms
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
Vehicle State Estimation using Error-State Extended Kalman Filter
A state estimation package for Lie groups!
SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)