A Robust and Versatile Monocular Visual-Inertial State Estimator
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Updated
May 31, 2024 - C++
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
Monocular Visual-Inertial State Estimator on Mobile Phones
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
A small C++11 header-only library for Lie theory.
AI-IMU Dead-Reckoning
An implementation of AVP-SLAM and some new contributions
Unscented Kalman Filter library for state and parameter estimation
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Data Assimilation with Python: a Package for Experimental Research
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
A bunch of state estimation algorithms
Resources on various topics being worked on at IvLabs
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
Tutorials on data assimilation (DA) and the EnKF
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
A small collection of Kalman Filters on Lie groups
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
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