junzhang3141's Stars
orsalmon/ORB_SLAM2_GTSAM
ORB-SLAM2 Library with an extension of GTSAM Factor Graph Streaming
hobbeshunter/IMU_EKF
This is a C++ implementation of an Error State Kalman Filter for IMU measurements suitable for use in platform.io projects.
enginBozkurt/Error-State-Extended-Kalman-Filter
Vehicle State Estimation using Error-State Extended Kalman Filter
kuankuan-yue/VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
eglrp/VIO-1
深蓝学院 手写VIO
iwander-all/vins-mono-self-improved-
an improved version of vins-mono
mmckerns/tutmom
Tutorial on "Modern Optimization Methods in Python"
jnez71/orientation_library
Library for rigid-body orientation math
gaoxiang12/slambook
StevenCui/VIO-Doc
主流VIO论文推导及代码解析
priseborough/InertialNav
Inertial Navigation Filter
pptacher/probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
MIT-SPARK/Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
VladyslavUsenko/basalt
Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
tdsuper/SPHORB
feature detector and descriptor for spherical panorama
dario-wat/stereo-algo
Some stereo algorithms.
jasonlinuxzhang/sgbm_cuda
Implement opencv sgbm algorithm based on cuda,sgbm is based on sgm
vincentfpgarcia/kNN-CUDA
Fast k nearest neighbor search using GPU
centreborelli/s2p
Satellite Stereo Pipeline
ethz-asl/okvis
OKVIS: Open Keyframe-based Visual-Inertial SLAM.
HKUST-Aerial-Robotics/VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator
ganlumomo/VisualInertialOdometry
A project of Visual Inertial Odometry for Autonomous Vehicle