continuous-time
There are 1 repository under continuous-time topic.
Unsigned-Long / iKalibr
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
Language:C++ 428kevin2431 / Traj-LO
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
Language:C 342koide3 / gtsam_points
A collection of GTSAM factors and optimizers for point cloud SLAM
Language:C++ 323- Language:C++ 250
VIS4ROB-lab / HyperSLAM
Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
Language:C++ 244Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability
Language:C++ 103KIT-ISAS / SFUISE
SFUISE is a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
Language:C++ 99[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
Language:C++ 95crowddynamics / crowddynamics
Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
Language:Python 41[IEEE RA-L 2024] MI-Calib: An Open-Source Spatiotemporal Calibrator for Multiple IMUs Based on Continuous-Time Batch Optimization
Language:C++ 38[IEEE TIM 2025] a continuous-time-based multi-radar multi-imu spatiotemporal calibrator
Language:C++ 35clear-nus / NCDSSM
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
Language:Python 25continuout-time-based state representation and optimization library
Language:C++ 20ASIG-X / SFUISE
Official repository of SFUISE, a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
Language:C++ 12samholt / NeuralLaplaceControl
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.
Language:Python 12Collection of discrete- and continuous-time motion parametrizations.
Language:C++ 12ma-laforge / CMDimCircuits.jl
Parametric analysis/visualization of model/measurement/simulation results
Language:Julia 8adolgert / CompetingClocks.jl
Simplest simulation to use non-Exponential transitions
Language:Julia 5simsurace / StochasticFilters.jl
A Julia package that provides high-level abstractions for simulating and deploying stochastic filters
Language:Julia 3harwiltz / distributional-superiority
Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"
Language:Python 2- Language:Python 2
choisy / discrete_time
Exploring relationships between discrete and continuous time models
Language:HTML 1fangyuan-ksgk / MLPF-continuous-time
Code for the paper Multilevel Particle Filters for the Non-Linear Filtering Problem in Continuous Time
jeksterslab / cTMed
Calculates standard errors and confidence intervals for effects in continuous-time mediation models.
Language:TeX 0guillaumelauzier / Continuous-time-Markov-Chain
A Continuous-time Markov Chain is a type of Markov Chain where the time between transitions is modeled by a probability distribution, rather than being fixed.
Language:C++rjmarquez / gnuoctave
Ejemplos de diversas fuentes. Examples from various sources. Related to GNU Octave
Language:MATLAB
