A Robust and Versatile Monocular Visual-Inertial State Estimator
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Updated
Aug 14, 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
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
AI-IMU Dead-Reckoning
An implementation of AVP-SLAM and some new contributions
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
Unscented Kalman Filter library for state and parameter estimation
(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 graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
A bunch of state estimation algorithms
Vehicle State Estimation using Error-State Extended Kalman Filter
ROS 2 sensor fusion SDK: UKF, 3D native, proper GNSS, zero manual tuning. Apache 2.0.
This repo contains my snippet and tutorials for Lie Group and Lie Algebra, Topology and Configuration of Robot and Space ,IMU, ROS2 Gazebo Integration, State Estimation, VIO, LIO, and Deep Learning based SLAM
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