[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
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Updated
Oct 14, 2025 - C++
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
A collection of GTSAM factors and optimizers for point cloud SLAM
Closed-form Preintegration for Graph-based Visual-Inertial Navigation
Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry
Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability
SFUISE is a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
Official repository of SFUISE, a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.
Collection of discrete- and continuous-time motion parametrizations.
Parametric analysis/visualization of model/measurement/simulation results
Simplest simulation to use non-Exponential transitions
A Julia package that provides high-level abstractions for simulating and deploying stochastic filters
Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"
A framework for hierarchical modelling, simulation and analysis of dynamic systems
Exploring relationships between discrete and continuous time models
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