erjie1111's Stars
suavedev/nonlinear-filters
Non-linear filters project. Includes matlab code for EKF, Particle filter and Predictive filter.
lydiazoghbi/Particle_Filter_MATLAB
3p3r/pf-localization
Localization using a Particle Filter (and random walk model)
Allopart/rbpf-gmapping
MatLab implementation of a Rao-Blacwellized Particle Filter for Grid- Based FastSlam
sbiswas8/Estimation-algorithms
Estimation-algorithms includes MATLAB functions for the EKF, UKF, Particle Filter, and their computationally efficient variants.
JohannesPfeifer/Particle_Filtering
Matlab Particle Filtering and Smoothing Example Code
wwxFromTju/awesome-reinforcement-learning-zh
中文整理的强化学习资料(Reinforcement Learning)
BigBayes/SMS
Sampling via Moment Sharing
EmbeddedAndMultisensorSystemsLab/EMS-SymINSGNSS
This software package is a simple basic demonstration of EMS symbolic engine for modelling and integrating dynamic systems that uses multiple sensors. This is a basic INS/GNSS loosely-coupled system using EKF. This is DEMO uses basic updates (position/velocity) from GPS to correct INS errors. For more information, please visit https://carleton.ca/embedded-systems/
asarkaya38/INS-GPS-Integration-Using-Unscented-Kalman-Filter-UKF-
helipiotr/beng_thesis
My bachelor thesis project: Kalman filtering in INS & GPS navigation
awerries/kalman-localization
MATLAB implementation of localization using sensor fusion of GPS/INS through an error-state Kalman filter.
yuzhou42/GPS-INS-Integrated-Navigation
GPS INS Integrated Navigation
jayoungo/SINS-GPS-Integrated-Navigation
Inertial Navigation System (INS) and GPS Integrated Navigation MATLAB Programs.
blei-lab/publications
The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
blei-lab/dtm
This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
shaobohan/VariationalGaussianCopula
Matlab Code for Variational Gaussian Copula Inference
roboticcam/publications
A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep learning, Geometric fitting, 3D pose, Video based tracking
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
adiog/embed-ahrs-mahony
Nonlinear Complementary Filters on the Special Orthogonal Group. Robert Mahony, Tarek Hamel, Jean-Michel Pflimlin
mgiurato/Attitude_Estimation
Attitude estimation using madgwick filter
wlandsman/IDLAstro
Astronomy related procedures in the commercial IDL language
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
hsteinhaus/PX4Firmware
PX4 Firmware for PX4FMU autopilot and PX4IO servo / failsafe board
ArduPilot/archived-PX4Firmware
PX4 Firmware for PX4FMU autopilot and PX4IO servo / failsafe board
TobiasSimon/MadgwickTests
Madgwick AHRS Numeric Stability Tests
JuSquare/AntBot
This github gathers everything needed to reproduce AntBot, the hexapod robot I developped during my PhD.