Starred repositories
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
Interactive educational multipurpose package to process and analyse GNSS data, i.e., a GNSS positioning simulator.
LF-GNSS: an open-sourced deep learning and Kalman filter integrated framework for satellite positioning.
Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents
Baseline methods for i2Nav-Robot Dataset
Implementation of dynamic programming-inspired Kalman filter variant for state estimation of linear systems with Gaussian process noise and non-Gaussian measurement noise
An invariant filter based GNSS-Barometer-Visual-Inertial Odemetry
[JIOT 2024] Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Universal calibration toolbox for assisted, target-based multi-sensor calibration with ROS 1 and ROS 2 support.
[IROS 2024] I2EKF-LO: A Dual-Iteration Extended Kalman Filter based LiDAR Odometry
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Starter testbed for hybrid GNSS–5G positioning in degraded environments (urban/indoor/tunnel). Python fallback (notebooks, simulator, algorithms, UI), optional MATLAB pseudocode, SDR integration gu…
SeisBench - A toolbox for machine learning in seismology
[TGRS] SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
GNSS Interferometric Reflectometry Software (GNSS-IR) in python
multi-state EKF/FG Radar-Inertial Odometry (aau_cns RIO)
Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping
A tightly coupled LIO framework based on the equivariant filter.
Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
T-ESKF: Transformed Error-State Kalman Filter for Consistent Visual-Inertial Navigation