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An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
李宏毅2021/2022/2023春季机器学习课程课件及作业
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
An EKF-based GNSS/INS Integrated Navigation Systems in Matlab (Matlab Version of KF-GINS)
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
Homework of Machine Learning Taught by Hy Lee, 2022-2023. Most of the code has reached boss baseline.
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
A Super Tightly Coupled Visual-Inertial State Estimator
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
State Estimation for SLAM: Filter(EKF, Particle Filter), MAP(GN, LM), Solver(Ceres-Solver, G2O, GTSAM), Bundle Adjustment
Example of using machine learning for forecasting Vertical Total Electron Content (VTEC) in the ionosphere
Keras/Tensorflow2 implementation o many deep learning models for TEC forecast on global ionosphere maps..
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
A lightweight, high-performance Kalman Filter library in C, C++, and MATLAB, offering superior numerical stability and efficiency with minimal dependencies.